Faculty Profiles

DR. RAJNI RANJAN SINGH MAKWANA

Designation: Associate Professor
Qualification: Ph.D.
Area of Interest: Algorithm Design, Digital Forensics, Machine Learning
Phone No:
E-Mail:

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Education and Qualification:

Degree	Specialization	Institute
Ph.D	Computer Science & Engineering	Maulana Azad National Institute of Technology (MANIT), Bhopal
M.Tech	Information Security	Maulana Azad National Institute of Technology (MANIT), Bhopal
B.Tech	Computer Science & Engineering	Samrat Ashok Technological Institute(SATI) Vidisha

Administrative Experience:
- Currently working as Coordinator of “Centre for Artificial Intelligence” at MITS Gwalior [e.f. 7^thJuly 2023 to till date].
- Member of Internal Quality Assurance Cell (IQAC)at MITS Gwalior [w.e.f. 01.03.2019 for 2 year & 10.08.2023 for 2 year]
- Member of Academic Development Cell (ADC)at MITS Gwalior [w.e.f. 05.10.2023]
- Working as web manager of the institute [w.e.f. 07.2015]
- In-charge MOOCs development Centre [w.e.f. 09.09.2019]
- In-charge IMS/MIS of the institute [w.e.f. 27.12.2017]
- Worked as Warden of Hostel No 7[order no 3600 dated 07/12/029]
- Worked as Criteria head in a Team constituted for NAAC preparation[order no 543 dated 06.04/2022]
- Worked as Chairman of Hackthon committee constituted for the conduction of national level hackathon in collaboration with Microsoft, Ansys, Cadre design and dhiyotech [order no 1599 dated 06.09.2021]
- Worked as Member of committee for Digitization of Examinations [Order no 1177 dated 24/04/2018]
- Worked as member in committee for conduction of online teaching learning due to COVID-19 [672 dated 16/03/2020]
- Worked as a member to organized "Gwalior Drone Mela" [order No.353 dated 13.11.21]
- Worked as a member to organize “online induction programme”[order no 303 dated 20.10.2021]
- Worked as a member in a committee “to look after the student grievances and cases regarding examination related issues[ Order no 545 dated 06.04.2022]
- Worked as BoS member, SWAYAM coordinator, Moodle coordinator, Ph.D coordinator of CSE department.
- Worked as a member in committee to purchase computers and other electronics items.
- Worked as a member in committees for NIRF, NAAC, NBA, AICTE audit/accreditation conducted time to time.
- Worked as a member in committee to conduct “online examination due to COVID 19”.
Research Projects, Consultancy & Patents:
- Patents- "END-USER MEANINGLESS UNPRONOUNCEABLE ONE TIME PASSWORD (EMU-OTP) WITH DYNAMIC ONE TIME PASSWORD VIRTUAL KEYBOARD" Published, Application No 202311008390 , publication date- 17/02/2023
Honors, Award & Recognition:
1) Awarded with the Certificate of Recognition for significant Contribution in “Establishment of MOOC development facility” (contribution in establishing the digital studio & development of moocs) (Ref. No. MITS/2021/04). The Certificate of Recognition was conferred on MITS Day, 10^th March 2021.

2) Awarded with the Certificate of Recognition for successful conduction of “National Hackathon 0n 16-17 April 2022 in collaboration with Microsoft IDs, Cadre Design, Ansys and dhiyotech” (Ref. No. MITS/100032023/SC/29). The Certificate of Recognition was conferred on MITS Day, 10^th March 2023.

3) Awarded with the Certificate of Recognition for “mentoring the students of NEC on Coding skills and achieving tangible outcomes through student efforts” (Ref. No. MITS/100032023/SC/19). The Certificate of Recognition was conferred on MITS Day, 10^th March 2023.

4) Won “best paper award” in track “Computer science and information technology” at National conference on emerging technologies trends (NCETT 2020) organized by VNS institute of technology , Bhopal.

5) Awarded “Fellowship for training of young Scientist” by M.P. Council of Science & Technology (MPCST) at the “30^th M.P. Young Scientist Congress” held at Vigyan Bhavan Bhopal during feb. 28- March 2015.

6) Awarded with the Certificate of Appreciation for Achieving High faculty feedback Index(FFI) (4.62 out of 5) for course Data Structures, 150302 in July-Dec. 2019 (Ref. No. DA/MP/2020/1085).

7) Awarded with the Certificate of Appreciation for Achieving High faculty feedback Index (FFI) (4.61 out of 5) for course Operating System, 160403 in Jan-June. 2019 (Ref. No. DA/MP/2019/941).

8) Awarded with the Certificate of Appreciation for Achieving High faculty feedback Index (FFI) (4.19 out of 5) for course Operating Systems, 150403 in Jan-June. 2021 (Ref. No. DA/MP/2021/1354).

9) Awarded with the Certificate of Appreciation for Achieving High faculty feedback Index(FFI) (4.19 out of 5) for course Operating Systems, 150403 in Jan-June. 2021 (Ref. No. DA/MP/2021/1354).

10) Awarded with the Certificate of Appreciation for Achieving High faculty feedback Index(FFI) (4.41 out of 5) for course Operating Systems, 150312 in July-Dec. 2022 (Ref. No. DA/MP/2022/1546).

11) Awarded with the Certificate of Appreciation for Achieving High faculty feedback Index(FFI) (4.20 out of 5) for course Operating Systems, 290303 in July-Dec. 2022 (Ref. No. DA/MP/2022/1546).

12) Awarded with the Certificate of Appreciation for Achieving High faculty feedback Index(FFI) (4.48 out of 5) for course Computer Networks, 150411 in Jan-June. 2023 (Ref. No. DA/MP/2023/09).

13) Awarded with the Certificate of Appreciation for Achieving High faculty feedback Index(FFI) (4.36 out of 5) for course Operating System, 2240324 in July-Dec. 2023 (Ref. No. DA/MP/2023/78).

14) Awarded with the Certificate of Appreciation for Achieving High faculty feedback Index(FFI) (4.30 out of 5) for course Problem solving and programming, 3270122 in Jan-June. 2024 (Ref. No. DA/MP/2023/107).

15) Topper (AIR top 5%) in the NPTEl course Cyber Security and Privacy (July-Oct 2023)

16) Awarded with the Certificate of Appreciation for coordinating MITS code war club “Top performing club” (Ref. No. MITS/2K19/16). The Certificate of Recognition was conferred on Founders Day, 14^th Nov. 2019.

17) Awarded with the Certificate of Appreciation for “Top performing mentor” for remarkable contribution as top performing mentor of NPTEL course “Programming Data Structures and algorithm using C” run during academic session Jan-June 2018.

18) Second highest AEI (Academic Efficiency Index) in the institute with AEI Score 9.65 out of 10 during July-Dec 2023.

Publications:

	R. R. Singh and D. K. Singh, ‘Deadlock Avoidance: A Dynamic Programming Approach’, in 2010 International Conference on Computational Intelligence and Communication Networks, 2010, pp. 661–664. IEEE
	R. R. Singh and D. S. Tomar, ‘Approaches for user profile investigation in orkut social network’, arXiv preprint arXiv:0912. 1008, 2009.
	B. Dharamkar and R. R. Singh, ‘A review of cyber attack classification technique based on data mining and neural network approach’, Int. J. Comput. Trends Technol, vol. 7, no. 2, pp. 100–105, 2014.
	B. Dharamkar, R. R. Singh, B. Dharamkar, and Others, ‘Cyber-attack classification using improved ensemble technique based on support vector machine and neural network’, International Journal of Computer Applications, vol. 103, no. 11, pp. 1–7, 2014.
	R. R. Singh and D. S. Tomar, ‘Network forensics: detection and analysis of stealth port scanning attack’, scanning, vol. 4, p. 8, 2015.
	S. Upadhyay and R. R. Singh, ‘Comparative Analysis based Classification of KDD’99 Intrusion Dataset’, International Journal of Computer Science and Information Security, vol. 13, no. 3, p. 14, 2015.
	S. Upadhyay and R. R. Singh, ‘A Survey on IDS Alerts Classification Techniques’, International Journal of Computer Applications, vol. 105, no. 12, 2014.
	K. Gupta and R. R. Singh, ‘A Survey On Web Application Attack Detection Methods’, International Journal of Advanced Research in Computer Science, vol. 8, no. 7, 2017.
	U. P. Singh, S. Jain, R. Singh, M. Parmar, R. Makwana, and J. Kumare, ‘Dynamic surface control based ts-fuzzy model for a class of uncertain nonlinear systems’, International Journal of Control Theory and Applications, vol. 9, no. 2, pp. 1333–1345, 2016.
	G. Mishra and R. R. Singh, ‘Enhancing Provider’s Profit on Cloud Market Infrastructure’, International Journal of Advanced Research in Computer Science, vol. 8, no. 5, 2017.
	S. Seth, R. R. S. Makwana, and M. Dixit, ‘Hybridized Combinational Feature Selection Framework for Network Intrusion Detection System (HCFSF)’, Probe, vol. 11656, p. 2421. UGC Indexed
	R. R. S. M. Ruhi Dubey, ‘Comparative Analysis of Computer Assisted Valuation of Descriptive Answers using WEKA with different classification algorithms’, SSRG International Journal of Computer Science and Engineering (SSRG-IJCSE), vol. 4, no. 6, pp. 5–10, 2017. UGC Indexed
	K. Gupta, R. R. Singh, and M. Dixit, ‘Cross site scripting (XSS) attack detection using intrustion detection system’, in 2017 International Conference on Intelligent Computing and Control Systems (ICICCS), 2017, pp. 199–203. IEEE
	R. Dubey and R. R. S. Makwana, ‘Computer-Assisted Valuation of Descriptive Answers Using Weka with RandomForest Classification’, in Proceeding of the Second International Conference on Microelectronics, Computing & Communication Systems (MCCS 2017), 2019, pp. 359–366. Springer
	D. Kushwah, R. R. Singh, and D. S. Tomar, ‘An approach to meta-alert generation for anomalous tcp traffic’, in Security and Privacy: Second ISEA International Conference, ISEA-ISAP 2018, Jaipur, India, January, 9--11, 2019, Revised Selected Papers 2, 2019, pp. 193–216. Springer
	R. R. Singh, ‘Shashikant Upadhyay’, Journal of Network Security & Its Applications (IJNSA), vol. 4, no. 2, 2012.
	D. Kushwah and R. R. S. Makwana, ‘An Approach to Meta-Alert Generation to Reduce Analyst Workload’.
	V. Shakya and R. R. S. Makwana, ‘Feature selection based intrusion detection system using the combination of DBSCAN, K-Mean++ and SMO algorithms’, in 2017 international conference on trends in electronics and informatics (ICEI), 2017, pp. 928–932. IEEE
	V. Shakya and R. R. S. Makwana, ‘A Survey on Intrusion Detection System Based on K-Means and RBF Kernel Function’.
	R. R. Singh and D. S. Tomar, ‘Guidelines for an Effective Network Forensic System’, in International Conference on Intelligent Computing and Smart Communication 2019: Proceedings of ICSC 2019, 2020, pp. 137–146. Springer
	P. Patsariya and R. R. Singh, ‘Classifier rank identification using multi-criteria decision making method for intrusion detection dataset’, Int. J. Innov. Technol. Explor. Eng, vol. 9, pp. 1732–1738, 2019.
	R. Richhariya, A. K. Manjhwar, and R. R. S. Makwana, ‘A hybrid approach for user to root and remote to local attack’, Int J Comput Sci, vol. 5, no. 6, pp. 73–79, 2017.
	R. Ranjan Singh and D. Singh Tomar, ‘Approaches for user profile Investigation in Orkut Social Network’, arXiv e-prints, p. arXiv-0912, 2009.
	R. R. Singh and D. S. Tomar, ‘Storage Efficient Capturing of Port Scanning Attack Traffic’, International Journal of Applied Engineering Research, vol. 12, no. 22, pp. 12652–12658, 2017.
	R. R. Singh and D. S. Tomar, ‘Port scanning attack analysis with Dempster--Shafer evidence theory’, Int. J. Appl. Eng. Res, vol. 12, no. 16, pp. 5900–5904, 2017.
	M. Dandotiya, R. R. Singh, A. S. Dandotiya, and N. Dandotiya, ‘A Deep and Efficient Analysis of DDOS Attack in Software Defined Network’, 2022.
	A. Gupta and R. R. Singh, ‘A Deep Learning Approach to Enhance Underwater Images with Low Contrast, Blurriness and Degraded Color’, in 2022 International Conference on Edge Computing and Applications (ICECAA), 2022, pp. 1287–1291. IEEE
	D. S. Tomar, ‘An Approach to Meta-Alert Generation for Anomalous TCP Traffic’, in Security and Privacy: Second ISEA International Conference, ISEA-ISAP 2018, Jaipur, India, January, 9--11, 2019, Revised Selected Papers, 2019, vol. 939, p. 193.
	L. S. Tanvi Agarwal Rajni Ranjan Singh Makwana, ‘Estimation of Soil Electrical Conductivity using Dual -- Polarized SAR Sentinel -1 Imagery’, International Journal of Computer Applications, vol. 176, no. 19, pp. 0975–8887, 2020.

Dr. Mir Shahnawaz Ahmad

Designation: Assistant Professor
Qualification: Ph.D (NIT Srinagar)
Area of Interest: Security and privacy in Ad-Hoc Networks, Internet of Things, Machine Learning.
Phone No: 7006080550
E-Mail:

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About Faculty: Dr. Mir Shahnawaz Ahmad is presently working as Assistant Professor in the Centre for Artificial Intelligence, and joined the institute in 2018. He completed his Ph.D from National Institute of Technology, Srinagar. He received his B. Tech in Computer Science & Engineering from University of Kashmir, and M. Tech. in Computer Science & Engineering from SMVD University, J&K. He has published many research papers in various reputed journals and conferences in the fields of: Ad-hoc Networks, Cyber Security, Internet of Things, Cyber Physical Systems and Machine Learning.
Workshop/Conference/Organized/Attended:
- Session coordinator in 5th International Conference on Sustainable and Innovative solutions for current challenges in Engineering and Technology, October 21-22, 2023.
- Organised a One Week Peer Learning Training Programme on “Artificial Intelligence and Machine Learning”, July 17-21, 2023.
- Member of organising committee in 4th International Conference on Sustainable and Innovative solutions for current challenges in Engineering and Technology, November 19-20, 2022.
- Organised a One Week Peer Learning Training Programme on “Data Science”, July 11-16, 2022.
- Attended a training program under National Intellectual Property Awareness Mission, on April 26, 2022.
- Associate coordinator for an AICTE sponsored one week online Short Term Training Programme on “Applied Computing” organized by the Department of Computer Science & Engineering and Information Technology, MITS Gwalior (09 – 13 November , 2020).
- Coordinator for a two days online national workshop on “Internet of Things (IoT) & Data Analytics” organized by the Department of Computer Science & Engineering and Information Technology, MITS Gwalior, under TEQIP-III (23 – 24 October, 2020).
- Coordinator for a two days online national workshop on “DATA SCIENCE: TECHNIQUES & TOOLS” organized by the Department of Computer Science & Engineering and Information Technology, MITS Gwalior, under TEQIP-III (20 – 21 June, 2020).
- Member of Session Conduction Team for paper presentation in ICSISCET-2019, organized by Madhav Institute of Technology & Science, Gwalior, M.P, India (02 – 03 November, 2019).
- Member of organizing committee in TEQIP-III Sponsored Two days National Workshop on “Recent Trends in AI, Deep Learning & its Applications”, Held at MITS Gwalior (28–29 September, 2019).
- Delivered an expert lecture on ‘Clustering Analysis in machine learning’, in a Faculty Development Program on ‘Applications of Machine Learning and Data Science in Engineering Technology’, organised by Rajasthan Technical University, Kota and Regional College for Education Research and Technology, Jaipur under TEQIP–III, during 15 – 19 Dec. 2020.
- Delivered an expert lecture on ‘Python Programming for machine learning’, in a Faculty Development Program on ‘Python Programming’, organised by Rajasthan Technical University, Kota and Arya Institute of Engineering Technology & Management, Jaipur under TEQIP–III, during 02 – 06 Dec. 2020.
- Attended a two days online national workshop on “Computational Intelligence In Data Analytics”, organized by Dept. of IT, MITS Gwalior (8–9 Feb., 2021).
- Attended a one week Online Faculty Development Program on “Soft Computing Techniques (SCT2020)”, organized by Electrical Engineering Department, NIT Srinagar (25–30 July, 2020).
- Attended an NPTEL Awareness Workshop conducted by IIT Kanpur at MITS Gwalior (12th September, 2019). •
- Attended two days In-house Workshop on “Bloom’s Taxonomy for Assessment Design”, Held at MITS Gwalior (13–14 August, 2019).
- Attended a TEQIP Sponsored Faculty Induction Program on “Advance Pedagogy and Digital Tools” at IIT Indore (24–28 June, 2019).
- Attended a Webinar-based Faculty Enablement Program on “LEX Based Foundation Program”, conducted by Infosys Limited (18–25 January, 2019).
- Attended Faculty Development Program on “Programming in C++”, NPTEL, with consolidated score of 70% (January–March, 2019).
- Attended National workshop on “Soft Computing Techniques & its Applications”, held at MITS Gwalior (18–19 January, 2019).
Publications:
- Mir Shahnawaz Ahmad, and Shahid Mehraj Shah. "A lightweight mini-batch federated learning approach for attack detection in IoT." Internet of Things 25 (2024): 101088.
- Mir Shahnawaz Ahmad, and Shahid Mehraj Shah. "An amalgamated correlation and regression based feature selection with ensemble learning approach for IoT network attack detection." Internet Technology Letters: e564.
- Mannepalli, Praveen Kumar, Abhishek Dixit, Mir Shahnawaz Ahmad, Saumil Maheshwari, Abhishek Yadav, and Vikram Rajpoot. "Leveraging Transfer Learning for Enhanced Plant Leaf Disease Detection." In 2024 International Conference on Automation and Computation (AUTOCOM), pp. 153-158. IEEE, 2024.
- Ranjeet Kumar Singh, Binod Kumar, and Mir Shahnawaz Ahmad. "A Hybrid Routing Protocol to Establish Communication in Mobility Cast Using Mobility Pattern." Wireless Personal Communications 135, no. 2 (2024): 875-898.
- Mir Shahnawaz Ahmad, and Shahid Mehraj Shah. "Unsupervised ensemble based deep learning approach for attack detection in IoT network", in Concurrency and Computation: Practice and Experience 34, no. 27 (2022): e7338.
- Mir Shahnawaz Ahmad, and Shahid Mehraj Shah, “Moving Beyond the Crypto-Currency Success of Blockchain: A Systematic Survey”, in Scalable Computing: Practice and Experience, Vol. 22, no. 3 (2021): 321-346.
- Mir Shahnawaz Ahmad, and Shahid Mehraj Shah, “Mitigating Malicious Insider Attacks in the Internet of Things using Supervised Machine Learning Techniques”, in Scalable Computing: Practice and Experience, Vol. 22, no. 1 (2021): 13-28.
- Mir Shahnawaz Ahmad, and Shahid Mehraj Shah, “Supervised Machine Learning Approaches for Attack Detection in the IoT Network” in International Conference on IoT and its Applications (ICIA-2020).
- Mir Shahnawaz Ahmad et al., “VM Availability in Presence of Malicious Attacks in Open-Source Cloud”, in 2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence), Noida, India, pp. 26-30, IEEE, 2019. DOI: 10.1109/CONFLUENCE.2019.8776920.
- Mir Shahnawaz Ahmad,“Alleviating Malicious Insider Attacks in MANET using a Multipath On-demand Security Mechanism”, International Journal of Computer Network and Information Security(IJCNIS), Vol.10, No.6, pp.40-51, 2018. DOI: 10.5815/ijcnis.2018.06.04
- Mir Shahnawaz Ahmad et al., “A Diffie-Hellman and Two Step Verification based Secure Cloud Computing Paradigm”, in International Journal of Computer Networks and Applications (IJCNA), Volume 5, Issue 3, pp 22-31, May June (2018). DOI: 10.22247/ijcna/2018 /49433. ISSN: 2395-0455
- Mir Shahnawaz Ahmad et al., “SDRED: Smart Data Retrieval Engine for Databases”, in International Journal of Information Technology and Computer Science(IJITCS), Vol.10, No.6, pp.1-10, 2018. DOI: 10.5815/ijitcs.2018.06.01
- Mir Shahnawaz Ahmad et al., “PPLS: Personnel Presence Locator System– An Amalgam of RF Ranging & Zigbee in WSN”, International Journal of Wireless and Microwave Technologies(IJWMT), Vol.8, No.4, pp. 78-95, 2018. DOI: 10.5815/ijwmt.2018.04.06
- Mir Shahnawaz Ahmad et al., “Big Data & Hadoop: A Survey”, in International Journal of Computer Science and Mobile Computing, Vol.6 Issue.7, pg. 64-68, July-2017.
- Mir Shahnawaz Ahmad, 2016, “Defence System for MANETs (Mobile Adhoc Networks)”, Munich, GRIN Verlag. https://www.grin.com/document/460817. Catalog Number: V460817; ISBN (eBook): 9783668922198; ISBN (Book): 9783668922204

Dr. ARUN KUMAR

Designation: Assistant Professor
Qualification: M.Tech & Ph.D (Thapar Institute of Engineering & Technology, Patiala)
Area of Interest: Machine Learning, Game Theory, Sentiment Analysis & Computational Biology
E-Mail:

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About Faculty: Dr. Arun Kumar is working as an Assistant Professor in the Centre for Artificial Intelligence. He received his M.Tech & PhD in Computer Science and Engineering from Thapar Institute of Engineering & Technology, Patiala. He received his B.Tech. in Computer Science & Engineering from Dehradun Institute of Technology. He has worked as a Junior Research Fellow(JRF) on a completed DST-SERB (Government of India) sponsored research project. He has been a quality teacher for three years in the Technical Education Quality Improvement Program(TEQIP) -III by the World Bank and the Government of India. His research interests include Machine Learning, Computational Biology, and Sentiment Analysis.
Administrative Experience:
- In charge: MOOCs Development Centre.
- Faculty Coordinator: Bandish: The Music Club of MITS
Workshop/Conference/Organized/Attended:
- Coordinator for an AICTE-QIP sponsored one week online Short Term Course (STC) on "Applications of Image Processing, Computer Vision and Intelligent Technologies in Pandemic" organized by the Department of Computer Science and Engineering, MITS Gwalior (18 – 23 January 2022).
- Associate coordinator for an AICTE sponsored one week online Short Term Training Programme on “Applied Computing” organized by the Department of Computer Science & Engineering and Information Technology, MITS Gwalior (09 – 13 November 2020).
- Coordinator for a two days online national workshop on “Internet of Things (IoT) & Data Analytics” organized by the Department of Computer Science & Engineering and Information Technology, MITS Gwalior, under TEQIP-III (23 – 24 October, 2020).
- Coordinator for a two days online national workshop on “DATA SCIENCE: TECHNIQUES & TOOLS” organized by the Department of Computer Science & Engineering and Information Technology, MITS Gwalior, under TEQIP-III (20 – 21 June, 2020).
- Coordinator for a TEQIP-III Sponsored Two days National Workshop on “Recent Trends in AI, Deep Learning & its Applications”, Held at MITS Gwalior (28–29 September, 2019).
- Delivered an expert lecture on ‘Machine Learning using Python’, in a Faculty Development Program on ‘Applications of Machine Learning and Data Science in Engineering Technology’, organised by Rajasthan Technical University, Kota and Regional College for Education Research and Technology, Jaipur under TEQIP–III, during 15 – 19 Dec. 2020.
- Delivered an expert lecture on ‘Machine Learning’, in a Faculty Development Program on ‘Python Programming’, organised by Rajasthan Technical University, Kota and Arya Institute of Engineering Technology & Management, Jaipur under TEQIP–III, during 02 – 06 Dec. 2020.
- Attended an NPTEL Awareness Workshop conducted by IIT Kanpur at MITS Gwalior (12th September, 2019).
- Attended two days In-house Workshop on “Bloom’s Taxonomy for Assessment Design”, Held at MITS Gwalior (13–14 August, 2019).
- Attended a TEQIP Sponsored Faculty Induction Program on “Advance Pedagogy and Digital Tools” at IIT Indore (24–28 June, 2019).
- Attended National workshop on “Soft Computing Techniques & its Applications”, held at MITS Gwalior (18–19 January, 2019).

Dr. PAWAN DUBEY

Designation: Assistant Professor
Qualification: Ph.D. , National Institute of Technology Delhi, India
Area of Interest: Image Processing, Computer Vision, Biometrics, Deep Learning, Robotics
Phone No:91-9911654322
E-Mail:

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About Faculty: Dr. Pawan Dubey has Completed his PhD from Department of Electronics and Communication Engineering of National Institute of Technology Delhi in the field of Biometrics (Image processing). He completed his post graduate and graduate at Jabalpur Engg. College, Jabalpur and Govt. Engg. College, Sagar (MP) in 2011 and 2006 with specialization in Microwave Engg. and ECE, respectively. As a research scholar at NIT Delhi, he published several SCI, Scopus indexed journal and conferences with publishing house such as Springer, Elsevier and IEEE. He has worked as a Research Mentor with Accendere knowledge management services ltd. and as an Asst. Professor at Gyan Ganga college of technology Jabalpur. He has also worked as research associate in a DST project at National Institute of Technology Delhi.
Work Experience:
- Serving as an Assistant Professor at Department of IT, MITS Gwalior Since November 2021.
- Served as a Research Associate at DST Project in the department of Applied sciences at National Institute of Technology Delhi, Delhi from April ’ 2021 to october’2021.
- Worked as an Assistant Professor in the department of Electronics and communication Engineering at Rustam Ji Institute of Technology, BSF academy, Tekanpur, Gwalior, (MP) since December 2020 to March 2021.
- One year industry experience as a Research Manager/Research Mentor, at Accendere Knowledge Management Services Pvt. Ltd. from July 2019 to July 2020.
- Three years and 11 months teaching/research experience as a Tutor cum Teaching assistant at National Institute of Technology Delhi, Delhi, for the period of August 2015 to July 2019.
- Three years and seven months of graduate and post graduate level student teaching experience at Gyan Ganga College of Technology, Jabalpur, for the period of January’ 2012 to July’ 2015 .
Administrative Experience:
1. Class coordinator for AIR II year Batch 2020 & 2021.
2. Member of Robotics Lab establishment and installation committee.
3. Member of Time Table committee of the Department.
4. Member of Board of Studies for IoT scheme syllabus designing committee.
5. Member of Departmental Outcome Based Education (OBE) committee.
6. Served as member of departmental Question Paper analysis Committee.
7. Designed and Floated Novel Engaging course syllabus for UG Student on OpenCV Python.
Research Supervision:
M-Tech Supervision: Deepak Kumar Dakate, 2012.

Title: Performance comparison of symmetric data encryption techniques.
Workshop/Conference/Organized/Attended:
Delivered Invited talks in ISTE- AICTE funded Faculty Development Program (FDP) on “Emerging trends in Networks and IoT” at Department of CSE, Infinity management and Engineering college, Pathariya Jat, Sagar, (MP) in 2020.

Delivered Invited talks in ISTE- AICTE funded Faculty Development Program (FDP) on “MATLAB Applications for semiconductor and construction Industries” at Ojaswini Institute of management and Technology, Damoh, (MP) in 2020.

Delivered expert talk in faculty research exposure development program on “Hands on module of MATLAB Applications for Image enhancement” at Aditya college of Engineering Technology, Surampalem, East Godavari district, (AP) in 2019.

Received Best poster presentation award in 13th IEEE International Conference on Industrial and Information Systems (ICIIS 2018), at Indian Institute of Technology, Ropar.

Organised and attended NIT Delhi’s Annual research function "Sodharth’ 15 and 16",

Represented PG/PhD research cricket team in NIT Delhi Annual sports function ZEAL’ 2018 and 2019.

Received MHRD/NIT Delhi Assistantship for the duration of August 2015 to July 2019.

Co-ordinated Research lab visit at CSIR - Central Electronics Engineering Research Institute Pilani for M. Tech. students in 2013.

Delivered the expert lecture on “Electronic hazards and safety in workshop” at South Avenue Mall in 2013, Jabalpur.
Publications:
1. Pawan Dubey, Kumari, V., Sharma, A.K., Sheoran, G. (2022). Quantitative Analysis of Transfer Learning in Plant Disease Classification. Communication and Intelligent Systems . Lecture Notes in Networks and Systems, vol 461. Springer, Singapore.
2. Ritesh Vyas, Tirupathiraju Kanumuri,Gyanendra Sheoran and Pawan Dubey. "Accurate feature extraction for multimodal biometrics combining iris and palmprint". J Ambient Intell Human Comput (2021).
3. Pawan Dubey, Tirupathiraju Kanumuri, and Ritesh Vyas. ”Optimal Directional Texture Codes using Multiscale Bit Crossover Count Planes for Palmprint Recognition.” Multimedia Tools and applications and Applications, March 2022.
4. Pawan Dubey, Tirupathiraju Kanumuri,. "Palmprint Recognition Using Oriented Structural Energy Signature Codes." Arabian Journal for Science and Engineering (2019): 1-9, Springer". (SCI- impact factor - 1.09)
5. Pawan Dubey, Tirupathiraju Kanumuri, and Ritesh Vyas. "Sequency codes for palmprint recognition." Signal, Image and Video Processing, Springer. 12.4 (2018): 677-684. (SCI impact factor - 1.62).
6. R Vyas, T Kanumuri, G Sheoran, Pawan Dubey, On Fusion of NIR and VW Information for Cross‐Spectral Iris Matching, Machine Learning Algorithms and Applications, 2021.
7. Ritesh Vyas, Tirupathiraju Kanumuri,Gyanendra Sheoran and Pawan Dubey . "Efficient features for smartphone-based iris recognition", Turkish journal of electrical engineering,idea 6 (7), (2019). (SCI- impact factor - 0.58)
8. Ritesh Vyas, Tirupathiraju Kanumuri, Gyanendra Sheoran, and Pawan Dubey. "Efficient iris recognition through curvelet transform and polynomial fitting." Optik (2019). (SCIimpact factor- 1.19)
9. Ritesh Vyas, Tirupathiraju Kanumuri,Gyanendra Sheoran and Pawan Dubey . “Recent trends of ROI segmentation in iris biometrics: a survey" International Journal of Biometrics, Inderscience (in Press).
10. Deepak Kumar Dakate and Pawan Dubey. "Performance comparison of symmetric data encryption techniques." International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) 1, no. 4 (2012): pp-163.
11. Deepak Kumar Dakate and Pawan Dubey. "Blowfish encryption: A comparative analysis using VHDL." International of Engineering and Advanced Technology (IJEAT) 1, no. 5 (2012): 177-179. (Scopus).
12. Pawan Dubey, Tirupathiraju Kanumuri, and Ritesh Vyas. "Relative statistical ensembles of Curved Gabor Wavelets for palmprint verification ." In 13th IEEE International Conference on Industrial and Information Systems (ICIIS 2018), at IIT Ropar, 2018 (in Press).(Won Best Poster Award at IIT ROPAR)
13. Ritesh Vyas, Tirupathiraju Kanumuri, Gyanendra Sheoran, and Pawan Dubey. "Iris recognition through score-level fusion." In Proceedings of 2nd International Conference on Computer Vision & Image Processing, pp. 25-35. Springer, Singapore, at IIT Roorkee, 2018.
14. Pawan Dubey, Tirupathiraju Kanumuri, and Ritesh Vyas. "Palmprint recognition using binary wavelet transform and LBP representation." IEEE International Conference on Recent Innovations in Signal processing and Embedded Systems (RISE), at MANIT Bhopal, 2017, pp. 201-205.
15. Ritesh Vyas, Tirupathiraju Kanumuri, Gyanendra Sheoran, and Pawan Dubey. "Cooccurrence features and neural network classification approach for iris recognition." Fourth EEE International Conference on Image Information Processing (ICIIP), pp. 1-6. 2017.
Complete Resume:
https://drive.google.com/file/d/1kZH0r7EXU8UOuyK1S9BTvGP0-4_MlXOG/view?usp=sharing

DR. TEJ SINGH

Designation: Assistant Professor
Qualification: Ph.D., Delhi Technological University, New Delhi, India
Area of Interest: Computer Vision, Data Science, Deep Learning, NLP
E-Mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

About Faculty: Dr. Tej Singh received B.Tech. Degree from Madan Mohan Malaviya University of Technology, Gorakhpur, (Formerly known as MMM ENGG. COLLEGE), India, in 2010, M.E degree from the Thapar Institute of Engineering and Technology, Patiala, India, and a Ph.D. from Delhi Technological University (DTU) Delhi, India, in 2014 and 2020 respectively. His current research interests include image processing, pattern analysis, machine learning, deep learning, artificial intelligence action, and human activity recognition. He is a reviewer of various IEEE, IET, and Elsevier Journals.
Work Experience:
- Presently, working as an Assistant Professor at Centre for Artificial Intelligence, MITS Gwalior, M.P, India from July 2023---
- Worked as an Assistant Professor in the Department of Information Technology, MITS Gwalior, M.P, India from Nov-2021 to July 2023.
Administrative Experience:
- Internship/Project Coordinator (UG level) at the Centre for Artificial Intelligence, MITS Gwalior, (M.P).
- Associate Member of departmental NAAC presentation committee.
- Associate Member of the Anti-ragging Squad committee at the institute.
- Associate Member of DTE Institute level Online Off-campus Admission counseling committee.
- Class Coordinator of Final Year B.Tech Artificial Intelligence and Robotics (IT-AIR) Course in the Centre for AI(2024-).
Honors, Award & Recognition:
- Given an Expert Talk on "IoT-based Product Development" organized by REC, Mainpuri, U.P, India on October 17th-21st, 2023.
- Served as Session Chair in the IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation – IATMSI-2022 (21-23 Dec. 2022), at ABV-IIITM Gwalior, Madhya Pradesh, India.
- Recognized as 'NPTEL Stars-NPTEL ENTHUSIASTS' for Jan- June 2023, from NPTEL Coordinator IIT Madras, India.
- Recognized as ‘NPTEL Stars-NPTEL BELIEVER’ for July to December 2022, from NPTEL Coordinator IIT Madras, India.
- Received a " Research Excellence Award" in 2020 and 2021 from Delhi Technological University, New Delhi.
- Received a Travel Grant to attend the IEEE BigMM Conference at the National University of Singapore, Singapore, Sept 2019.
- Received a letter of appreciation for scoring an average FFI>4.25 in both students' feedback of the July-Dec 2021 session in ‘Introduction to Artificial Intelligence’ by Director MITS, Gwalior.
Workshop/Conference/Organized/Attended:
- Participated in NAAC Sponsored Two Days Online National Workshop on “Curriculum Development for the Effective Implementation of NEP-2020”, under IQAC conducted during September 03-04, 2022 at Madhav Institute of Technology & Science, Gwalior, MP, India.
- Successfully completing the Swayam NPTEL courses on the subjects: Data Science with Python (Elite+Silver), Accreditation And Outcome Based Learning (Elite), Digital Circuits (Elite) and Embedded System Design With ARM (Elite).
- Attended one-week online training program on “Python for Engineers”, during 20^th-24^th December, 2020, organized by department of Computer Science, MNIT, Jaipur, INDIA.
- Attended TEQIP-III sponsored One week FDP on "Machine learning for Pattern Recognition (MLPR-2019)" during 10th-14th June, 2019, organized by Department of Information Technology, DTU, Delhi.
- Attended TEQIP-III sponsored One week STTP on "Recent Trends in AI and Machine Learning (AIML-2019)" during 29^th July- 2^nd August, 2019, organized by Department of Information Technology, DTU, Delhi.
- Attended one-day workshop on “Computational Intelligence: Some Recent Advanced and Applications” sponsored by IEEE Computational Intelligence Society and Soft Computing Research Society, at IIT Delhi on 10^th December 2018.
- Attended MHRD sponsored one week GIAN course on “Video Surveillance” at Department of Electronics and Communication Engineering, DTU, Delhi, from 30th July 2018 to 03rd August, 2018.
- Attended one-day workshop on “Raising Awareness on Plagiarism and Copyrights”, organized by Department of ECE, at DTU, Delhi on 20^th March, 2018.
- Attended TEQIP-III sponsored One week FDP on " Advanced in Image Processing and Computer Vision" during 2^nd -6^th April, 2018, organized by Department of ECE, DTU, Delhi.
- Attended one-week IEEE winter school on “Machine learning for Biometrics” from 19 Feb 2017 to 22 Feb 2017 at IIIT Delhi.
- Attended MHRD sponsored one week GIAN course “Intelligent Transportation System” from 27 November to 1 December 2017 organized by Department of ECE, at Delhi Technological University, Delhi.
- Attended TEQIP-II sponsored one-week Faculty Development Program on “Recent Trends in Pattern Analysis and Machine Learning” from 11th to 15th July 2016, organized by Department of ECE, at Delhi Technological University, Delhi.
- Attended two-week FDP on "Use of ICT in Education for Online and Learning", organized by IIT, Bombay at Dronacharya College of Engineering, Greater Noida from 3rd to 12th January 2015.
Publications:
- Tej Singh et al. "A CNN framework for COVID identification using Radiographic Images", in International Conference on Generative AI, Cryptography and Predictive Analytics (ICGCPA-2024) dated 28th-29th June 2024 organized by the Department of Computer Science, School of Engineering and Technology, VIPS-TC.
- Tej Singh et al. "Safety Measures in Smart Car Using IoT", in 1st International Conference on Sensors and Microsystems (ICSM-2024), March 2024.
- Tej Singh et al., "Speech Emotion Recognition using CNN-TRANSFORMER Architecture", in 2nd 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), Gwalior, India March 2024.
- Tej Singh et al., "Restructuring of Solid Waste Management for the Indian Context", in 11^th International Conference on Advancements in Engineering and Technology (ICAET-2023) on 23rd & 24th, November 2023.
- Tej Singh et al., "Circulate Matrix and Compression Sensing Based Multi-Level Image Encryption", Journal Name: Traitement du Signal, 39(3):853-862, Impact Factor (2.29)- SCIE indexed. ISSN: 0765-0019.
- Tej Singh, D. K. Vishwakarma, “A deep multimodal network based on bottleneck layer features fusion for action recognition”, Multimedia Tools and Applications, Vol. 80, pp-33505–33525, 2021, (Pub: Springer)- Impact Factor: 2.757
- Tej Singh, D. K. Vishwakarma, "A Deeply Coupled ConvNet for Human Activity Recognition using Dynamic and RGB Images", Neural Computing and Applications, Vol. 33, No. 1, pp.469-485, 2021, (Pub: Springer)- Impact Factor: 5.606 (ISSN/ISBN NO. 00521-020-05018)
- Tej Singh, D.K. Vishwakarma "Video Benchmarks of Human Action Datasets: A Review", Artificial Intelligence Review, Vol. 52, No. 2, pp. 1107–1154, 2019. (Pub: Springer Nature). Impact Factor: 12 (ISSN/ISBN NO. 10462-018-9651-1)
- K. Vishwakarma, Tej Singh, "A Visual Cognizance Based Multi-Resolution Descriptor for Human Action Recognition using Key Pose", International Journal of Electronics and Communications, Vol. 107, pp. 513-521, 2019, (Pub: Elsevier) Impact Factor: 3.183. (ISSN/ISBN NO. 1434-8411)
- Tej Singh, D.K. Vishwakarma, “Human Activity Recognition in Video Benchmarks: A Survey”, in Advances in Signal Processing and Communication (Pub: Springer), (ISSN/ISBN NO. 978-981-13-2552-6)
- Tej Singh, D.K. Vishwakarma, “A Hybrid Framework for Action Recognition in Low-Quality Video Sequences”, 2019, arXiv:1903.04090v1 [cs.CV].
- Tej Singh, et al., “Deep Learning Framework for Single and Dyadic Human Activity Recognition”, in 5th IEEE International Conference on Multimedia Big Data(BigMM-19), Singapore, September 11-13, 2019. . (ISSN/ISBN NO. 978-1-7281-5527-2)
- Tej Singh, D.K. Vishwakarma, “A Framework for Human Action Recognition using Skeleton Joints” in IEEE International Conference on Signal Processing, VLSI and Communication Engineering, Delhi, INDIA, March 28-30, 2019.
- Tej Singh and D.K. Vishwakarma, “A Hybrid Neuro-Wavelet Based Pre-Processing Technique for Data Representation” in IEEE International Conference on Computational Intelligence and Computing Research (IEEEICCIC17), Karumathampatti, INDIA December 14-16, 2017. (ISSN/ISBN NO. 2473-943X / 978-1-5090-6621-6 )
Complete Resume:
NPTEL/NTTTR Courses Completed with Elite+Grade(From 2022--)
- - Cyber Security and Privacy
  - Introduction To Industry 4.0 And Industrial Internet Of Things
  - Data Science using Python
  - Introduction To Internet of Things (IoT)
  - Embedded System with ARM
  - Digital Electronics
  - Outcome Based Education (OBE)
  - Teaching and Learning in Engineering(TALE)
  - Effective Writing
  - Yoga and Positive Psychology for Managing Career and Life
  - Professional Ethics & Sustainability
Subjects Taught (Nov 21- till now):
- Internet of Things(IoT)
- Introduction to Computer Programming
- Introduction to Artificial Intelligence
- Digital Logic Design
- Embedded System in IoT
- Computer System Organization
- Digital Electronics
- Basic Electrical and Electronics Engineering
- Sensor Technology
- Modern Computer Arhitecture
- Digital Image Processing
- Pattern Recognition

DR. BHAGAT SINGH RAGHUWANSHI

Designation: Assistant Professor
Qualification: M.tech and PhD in Computer Science & Engineering MANIT, Bhopal, India
Area of Interest: Machine Learning, Imbalanced Learning, Data Science, Deep Learning
Phone No:
E-Mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

About Faculty: I did my Bachelor of Engineering (B.E.) degree in computer science and engineering from the Lakshmi Narain College of Technology (LNCT), Bhopal, India, and the Master of Technology (M.Tech) and Ph.D. degrees from the Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal respectively. I am Currently working as a Assistant Professor in Madhav Institute Of Technology and Science, Gwalior Madhya Pradesh. My research interests include Extreme Learning Machine, Neural Networks, and Machine Learning.
Education and Qualification:
BE (CSE) LNCT Bhopal, M.tech and PhD in Computer Science & Engineering MANIT, Bhopal, India
Work Experience:
TEACHING EXPERIENCE
1. Assistant Professor, in Madhav Institute Of Technology and Science, Gwalior (M.P.) [Dec ’21 - till date]
2. Lakshmi Narain College of Technology (LNCT), Bhopal Assistant Professor, Computer Science & Engineering [July ’12 - June ’16]
RESEARCH/INDUSTRY EXPERIENCE
1. Research Assistant, Maulana Azad National Institute of Technology, Bhopal [July ’16 -Jan ’19]
2. Assistant Programmer Commercial Tax Department MP [Jan ’19 - Nov’ 21]
Honors, Award & Recognition:
GATE qualified GATE-2010, 2015, 2016, 2017 and 2018 with 96.85, 92.10, 91.29, 91.62 and 94.95 percentiles respectively.
• Selected in MPPSC-IT exam- 2016.
• Best Faculty Award by state level organization SRIJAN.
• Completed 04 SWAYAM/NPTEL course with ELITE and FDP “ Python for Data Science,
Data Base Management System, Compiler Design, Computer networks and protocols” and Joy of python programming
• Recognized as NPTEL believers and NPTEL discipline star in session Jan -June 2022.
(Received appreciation certificate)

MOOCs – Online Certifications: Qualified First phase training (08 Modules) of AICTE National Initiative for Training of Technical Teachers (NITTT) Coordinating Institute: NITTTR Chennai

Take in-house workshops in Data science

REVIEWER
• IEEE Transactions on Neural Networks and Learning Systems
• IEEE Transactions on Emerging Topics in Computational Intelligence
• Information Fusion
• Knowledge-based Systems
• Information Sciences
• Big Data Research
• Expert Systems with Applications
• European journal of operational research
• Computer Methods and programs in biomedicine
• Journal of The Franklin Institute
• Computer Standards & Interfaces
• INFORMS Journal on Computing
• Arabian Journal for Science and Engineering
• PeerJ Computer Science
• ISA Transactions
Publications:
RESEARCH PAPERS
SCI Journals (15)

(1) Bhagat Singh Raghuwanshi, Sanyam Shukla, “Minimum variance-embedded kernelized extension of extreme learning machine for imbalance learning” Pattern Recognition, vol. 119, pp. 108069, November 2021. (I.F. 8.52)
DOI: https://doi.org/10.1016/j.patcog.2021.108069

(2) Bhagat Singh Raghuwanshi, Sanyam Shukla, “Class-specific extreme learning machine for handling binary class imbalance problem,” Neural Networks, vol. 105, pp. 206-217, September 2018. (I.F. 9.66)
DOI: https://doi.org/10.1016/j.neunet.2018.05.011

(3) Sanyam Shukla, Bhagat Singh Raghuwanshi, “Online sequential class-specific extreme learning machine for binary imbalanced learning,” Neural Networks, vol. 119, pp. 235- 248, November 2019. (I.F. 9.66)
DOI: https://doi.org/10.1016/j.neunet.2019.08.018

(4) Bhagat Singh Raghuwanshi, Sanyam Shukla, “SMOTE based class-specific extreme learning machine for handling class imbalance problem,” Knowledge-Based Systems, vol. 187, pp. 104814, January 2020. (I.F. 8.14)
DOI: https://doi.org/10.1016/j.knosys.2019.06.022

(5) Bhagat Singh Raghuwanshi, Sanyam Shukla, “Class-specific kernelized extreme learning machine for handling binary class imbalance problem,” Applied Soft Computing, vol. 73, pp. 1026-1038, December 2018. (I.F. 8.26)
DOI: https://doi.org/10.1016/j.asoc.2018.10.0112

(6) Bhagat Singh Raghuwanshi, Sanyam Shukla, “Generalized class-specific kernelized extreme learning machine for multiclass imbalanced learning,” Expert Systems With Applications, vol. 121, pp. 244-255, 1 May 2019. (I.F. 8.67)
DOI: https://doi.org/10.1016/j.eswa.2018.12.024

(7) Bhagat Singh Raghuwanshi, Sanyam Shukla, “Minimum class variance class-specific extreme learning machine for imbalanced classification”, Expert Systems with Applications,vol. 178, pp. 114994, 15 September 2021. (I.F. 8.67 )
DOI: https://doi.org/10.1016/j.eswa.2021.114994

(8) Bhagat Singh Raghuwanshi, Sanyam Shukla, “Class imbalance learning using UnderBagging based kernelized extreme learning machine,” Neurocomputing, vol. 329, pp. 172-187, May 2019 .(I.F. 7.00)
DOI: https://doi.org/10.1016/j.neucom.2018.10.056

(9) Bhagat Singh Raghuwanshi, Sanyam Shukla, “UnderBagging based reduced kernelized weighted extreme learning machine for class imbalance learning,” Engineering Applications of Artificial Intelligence, vol. 74, pp. 252-270, September 2018. (I.F. 7.80)DOI: https://doi.org/10.1016/j.engappai.2018.07.002

(10) Bhagat Singh Raghuwanshi, Sanyam Shukla, “Class-specific cost-sensitive boosting WELM for class imbalance learning”, Memetic Computing, vol. 11, issue 3, pp. 263–283 September 2019. (I.F. 4.70)
DOI: https://doi.org/10.1007/s12293-018-0267-4

(11) Bhagat Singh Raghuwanshi, Sanyam Shukla, “Classifying Imbalanced Data using ensemble based reduced kernelized weighted extreme learning machine,” International Journal of Machine Learning and Cybernetics, vol. 10, issue 11, pp. 3071-3097, August 2019.(I.F. 5.60) DOI: https://doi.org/10.1007/s13042-019-01001-9

(12) Bhagat Singh Raghuwanshi, Sanyam Shukla, “Classifying imbalanced data using SMOTE based class-specific kernelized ELM,” International Journal of Machine Learning and Cybernetics, vol. 12, issue 5, pp. 1255–1280, May 2021. (I.F. 5.60)
DOI: https://doi.org/10.1007/s13042-020-01232-1

(13) Bhagat Singh Raghuwanshi, Sanyam Shukla, “Classifying imbalanced data using BalanceCascade based kernelized extreme learning machine,” Pattern Analysis and Applications, vol. 23, issue 3, pp. 1157-1182, August 2020. (I.F. 3.90)
DOI: https://doi.org/10.1007/s10044-019-00844-w

(14) Bhagat Singh Raghuwanshi, Akansha Mangal, Sanyam Shukla, “Universum based kernelized weighted extreme learning machine for imbalanced datasets” International Journal of Machine Learning and Cybernetics, vol. 13, issue 11, pp. 3387–3408, July 2022 (I.F. 5.60) DOI: https://doi.org/10.1007/s13042-022-01601-y

(15) Bhagat Singh Raghuwanshi, “Class-specific extreme learning machine based on overall distribution for addressing binary imbalance problem” Soft Computing, vol. 27, issue 8, pp. 4609 - 4626, Dec 2022 (I.F. 4.10) https://doi.org/10.1007/s00500-022-07705-5

SCOPUS Journals
(1) Bhagat Singh Raghuwanshi, Sanyam Shukla, “Classifying multiclass imbalanced data using generalized class-specific extreme learning machine” Progress in Artificial Intelligence, vol. 10, issue 3, pp. 259–281, September 2021. (Q3(SCOPUS), H-18)
DOI: https://doi.org/10.1007/s13748-021-00236-4

(2) Bhagat Singh Raghuwanshi et al. "ELM-Based Imbalanced Data Classification-A Review" Informatica, May 2024 DOI: https://doi.org/10.31449/inf.v48i2.5082

IEEE International Conferences
(1) Sukirty Jain, Sanyam Shukla, Bhagat Singh Raghuwanshi, “Analysis of ordering based ensemble pruning techniques for Voting based Extreme Learning Machine”, 2018 IEEE International Students’ Conference on Electrical, Electronics and Computer Science (SCEECS),
pages. 1-5, 2018
DOI: 10.1109/SCEECS.2018.8546952
(2) Mona Singhal, Sanyam Shukla, Bhagat Singh Raghuwanshi,“ Voting based Extreme learning Machine with Spectral Coefficient Pruning for binary Classification”, 2018 IEEE International Students’ Conference on Electrical, Electronics and Computer Science (SCEECS),
pages. 1-6, 2018
DOI: 10.1109/SCEECS.2018.8546989

DR. SUNIL KUMAR SHUKLA

Designation: Assistant Professor
Qualification: Ph.D., National Institute of Technology Raipur, India
Area of Interest: Soft computing and Data mining techniques, Signal-processing, Smart Grid
Phone No: 9131231387
E-Mail:

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About Faculty: Dr. Sunil Kumar Shukla is working as assistant professor in the department of Information Technology at Madhav Institute of Technology & Science Gwalior. I have received the Bachelor of Engineering (B.E) degree with specialization in Electrical and Electronics engineering and Master of Engineering (M.E) degree with specialization in Power electronics from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal in 2010 and 2012 respectively. I have completed full-time Ph.D in Electrical Engineering with Power system specialization from National Institute of Technology, Raipur (C.G) under MHRD institute fellowship during 2015-2019. My research interests include transmission line protection, application of soft computing, and data mining techniques in power system protection.
Work Experience:
TEACHING EXPERIENCE (6 Years)
- Working as Assistant Professor in the Department of Information Technology at MITS Gwalior, from 15 /12/2020 to till date.
- Worked as Assistant Professor in the Department of Electrical Engineering at NirmaUniversity, Ahmedabad, from 29/10/ 2020 to 10/12/ 2022.
- Worked as Assistant Professor in the Department of Electrical Engineering at G HRaisoni Institute of Engineering and Technology, Nagpur from 25/7/2019to 20/10/2020.
- Worked as Assistant Professor in the Department of Electrical Engineering at SagarGroup of Institutions, Bhopal from 02/07/2012 to 7/08/2015.
RESEARCH EXPERIENCE( 4 YEARS)

Research Assistant, National Institute of Technology, Raipur [July ’15 -Jan ’19]
Honors, Award & Recognition:
- Qualified GATE -2010
- Received Best Paper Award in the Springer sponsored International conference on Smart Technologies for Energy, Environment & Sustainable Development (ICSTEESD-20), organized by GHRCE, Nagpur during 4-5 Dec. 2020
Workshop/Conference/Organized/Attended:
- Contributed as "Workshop coordinator" for conduction of two-week ISTE workshop on Control System organized by IIT Kharagpur from 2nd to 12th Dec 2014
Publications:
International Journals (SCI)
1. Koley, E., Shukla, Sunil K., Ghosh, S., & Mohanta, D. K “Protection scheme for power transmission lines based on SVM and ANN considering the presence of non-linear loads,” IET Generation, Transmission Distribution, vol. 11, no. 9, April 2017, pp. 2333-2341. (Impact Factor: 3.42)
2. Shukla, Sunil Kumar, Ebha Koley, and Subhojit Ghosh “A hybrid wavelet-APSO-ANN-based protection scheme for six-phase transmission line with real-time validation,” Neural Computing and Application , 31.10 (2019): 5751-5765.. (Impact Factor: 5.102),
3. Shukla, Sunil K., Ebha Koley, and Subhojit Ghosh “DC offset estimation-based fault detection in transmission line during power swing using ensemble of decision tree,” IET Science, Measurement Technology. 13.2 (2018): 212-222.. (Impact Factor: 1.94)
4. Shukla, Sunil K., Ebha Koley, Subhojit Ghosh and Dusmanta K. Mohanta “Enhancing the Reliability of Six Phase Transmission Line Protection Using Power Quality Informatics with Real-Time Validation,” International Transactions on Electrical Energy Systems . 29.9 (2019): e12048. (Impact Factor: 2.639)
5. Shukla, Sunil K., Ebha Koley, and Subhojit Ghosh “A novel approach based on line inequality concept and sine cosine algorithm for estimating optimal reach setting of quadrilateral relays” Arabian Journal for Science and Engineering. 45.3 (2020): 1499-1511. (Impact Factor: 2.807)
6. Shukla, Sunil K., Ebha Koley, and Subhojit Ghosh, ''Grey wolf optimization-tuned convolutional neural network for transmission line protection with immunity against symmetrical and asymmetrical power swing.'' Neural Computing and Applications. (2020): 1-18. (Impact Factor: 5.102)
7. Chintan D Patel, Tarun Tailor, Sunil Kumar Shukla, Samyak Saha, Swapnil Jani ''Steiner Tree based Design of Communication Infrastructure with Co optimizing the PMU Placement for Economical Design of WAMS " IEEE Transactions on Instrumentation & Measurement, May 2022. (Impact Factor: 5.332)
8. Rao Althi, T., E. Koley, S.Ghosh, S. K. Shukla ''Six Phase Transmission Line Protection Using Bat Algorithm Tuned Stacked Sparse Autoencoder''. Electric Power Components and Systems, (2022)1-18. (Impact Factor: 1.59)
International Conferences:
1. Sunil kumar shukla, and Ebha koley, “SVM based fault detection and classification of one open conductor faults in six-phase transmission system,” in Proc. International Conference on Research and Innovations in Science, Engineering Technology (ICRISET-2017), BVM Engineering College, Vallabh Vidyanagar, Gujarat, India.
2. Sunil Kumar Shukla, and Ebha koley, “Fault detection and classification in six-phase transmission system using k-nearest neighbour algorithm,” in Proc. IEEE International Conference on Intelligent Computing, Instrumentation And Control Technologies (ICICICT - 2017), Vimal Jyothi Engineering College Jyothi Nagar Chemperi, Kannur, Kerala, India,
3. Sunil Kumar Shukla, and Ebha koley, “Detection and classification of Open Conductor faults in six-phase transmission system using k nearest neighbour algorithm,” in Proc. International Conference on Power Systems, 2017 (ICPS-2017), College of Engineering Pune (CoEP), Shivajinagar, India
4. Sunil Kumar Shukla, Ebha koley, and Subhojit Ghosh , “Protection scheme for shunt faults in six-phase transmission system based on wavelet transform and support vector machine,” in Proc. IEEE International Conference on Computational Intelligence and Computing Research (IEEE ICCIC-2017), Tamilnadu College of Engineering, Coimbatore , Tamil Nadu, India pp. 1-6.
5. Sunil Kumar Shukla, Ebha koley, and Subhojit Ghosh , “Detection and classification of open conductor faults in six-phase transmission line using wavelet transform and Naive Bayes classifier,” in Proc. IEEE International Conference on Computational Intelligence and Computing Research (IEEE ICCIC-2017), Tamilnadu College of Engineering, Coimbatore , Tamil Nadu, India.
6. Murli Manohar, Prema Daigvane, and Sunil Kumar Shukla. “An efficient ensemble
  based protection technique for transmission line protection” International conference on Smart Technologies for Energy, Environment & Sustainable Development (ICSTEESD-20), Springer, Nagpur, 4-5 Dec. 2020.

DR. VIBHA TIWARI

Designation: Assistant Professor
Qualification: Ph.D (MANIT Bhopal), M.Tech (MANIT Bhopal)
Area of Interest: Signal Processing, Artificial Intelligence,Data Science, Machine learning, Neural Networks,Cryptography, Robotics
Phone No:
E-Mail:

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About Faculty: Qualified, result-oriented professional with in-depth knowledge and functional experience of over 21 years as a faculty . Proven abilities in managing a wide gamut of activities across Education & Research, Training & Development.

Work Experience:

ASSISTANT PROFESSOR - Information Technology (Artificial Intelligence and Data Science) at MITS Gwalior	Dec 2022- Till Date
PROFESSOR - Electronics and Communication Engineering at Technocrats Institute of Technology, Bhopal (M.P), India	Mar 2014 - July 2022
PROFESSOR & HOD - Electronics and Communication Engg. at Gyan Ganga Institute of Technology and Management, Bhopal.	Jul 2009 – Mar 2014
READER & HOD - Electronics & Communication Engineering at Acropolis Institute of Technology and Research, Bhopal.	Aug 2008 - Jul 2009
ASST. PROFESSOR & HOD - Electronics and Communication Engg at Bansal Institute of Science and Technology, Bhopal.	Aug 2001 - Apr 2008
LECTURER Electronics and Communication Engg Dept at Lakshmi Narayana College of Technology, Bhopal (M.P), India	Feb 2001 - Aug 2001

Honors, Award & Recognition:
“Young Scientist Award” from Council of Science and Technology, Government of M.P for the year 2010-11.

Grants Received
- Received International Travel Grant from MP council of Science and Technology, India for presenting a paper in International Conference on Women in Science & Technology (IConWiST), Sep 14-17, 2013, Taipei, Taiwan.
- Received Grant in Aid from MPCST for organizing a workshop “Cryptography and its Applications” in November 2013
- Received Grant in Aid from MPCST for organizing “National conference on recent research and innovation in Electronic & Communication Engineering”, Conference organized on 22-23 Feb 2019
- Received competitive /collaborative research fund of RS 3.0 Lac under TEQIP-III, RGPV for a project “MEDIROBO A Smart Humanoid Robot for medical assistance” in 2019.
- Received a Grant of Rs 1.5 Lac for Organizing a faculty developed program on “A practical approach to signals and Systems” on December 10-14, 2019 from TEQIP-III, RGPV, Bhopal
Other Achievements
- Nodal coordinator for Virtual Lab , IIT Roorkee
- Awarded by a certificate for exceptional contribution as a Primary Evaluator in TOYCATHON 2021. Under the ‘AatmaNirbhar Bharat Abhiyan’ initiated by our Hon’ble Prime Minister, Shri. Narendra Modi, Toycathon-2021 is conceived to challenge India’s innovative minds to conceptualize novel Toy and Games based on Bharatiya civilization, history, culture, mythology and ethos.
- Contributed as session chair in IETE National conference on VLSI Communication and signal Processing in NCVCS 2021, organized by Dept. of Electronics and communication Engineering , Maulana Azad National Institute of Technology from 27th -28th 2021
- Delivered Expert Lectures in Two week Online refresher Course in Information Technology, awareness and Application conducted from 21 Oct- 03 nov. 2020 at UGC – Human Resource Development centre , Guru Nanak dev University , Amritsar. Topics of her Lecture were (i) ICT in Education (ii) ICT tools and Resources.
- Successfully completed the Online Orientation Training Program for Mentors organized from 29th June -4th July 2020 under National Initiative for Technical training , AICTE, New Delhi
- Completed Online certification course on “Digital Circuits” organised by NPTEL, Ministry of HRD , Govt. Of India with Elite+Silver certificate. This course was conducted in Jul-Oct, 2019
Referee/Reviewer

* Referee/Reviewer In Scientific Journal/Magazine: Reviewer for Circuits, Systems & signal processing (CSSP)- Springer

* Reviewer in IEEE International Conference on Innovations in High speed Communication and Signal Processing (IHCSP 2023), MANIT, Bhopal, India
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Workshop/Conference/Organized/Attended:
- Co-Coordinator for Five days faculty development program on “ Internet of things” from 8th Feb to 12th Feb 2022, sponsored by AICTE training and learning(ATAL academy) AICTE new Delhi.
- Organised National conference on “Recent research and innovation in Electronic & Communication Engineering”, on 22-23 Feb 2019 at Technocrats Institute of Ttechnology. This conference was sponsored by MPCST
- Organised a faculty developed program on “A practicals approach to signals and Systems” on December 10-14, 2019 Sponsored by TEQIP-III, RGPV, Bhopal
- Organized a workshop on “Designing of Antenna using CADFEKO" on 17th -18th January 2014 at Gyan Ganga Institute Of Technology and Management, Bhopal
- Organized a workshop on “Antenna Design using FEKO software” on 2nd Mar 2013 at Gyan Ganga Institute Of Technology and Management, Bhopal
- Organised an MPCST sponsored workshop on “Cryptography and its Applications” on 11th -12th November, 2013 at Gyan Ganga Institute of Technology and Management, Bhopal.
- Organized a National Conference on “Women in Science and Technology” on 8th Mar 2013 at Gyan Ganga Institute Of Technology and Management, Bhopal
- Convener of a National Conference on “Recent Trends in Signal Processing and VLSI design” organized by Department of Electronics and communication Engineering, Gyan Ganga Institute Of Technology and Management, Bhopal , 18-20 Nov. 2011
- Convener of a National conference on “ Recent trends in Electrical and Electronics Engineering , organized by Department of Electrical and Electronics Engineering, Gyan Ganga Institute Of Technology and Management, Bhopal , Nov. 2010
Publications:
JOURNALS

1. Vibha Tiwari and Jyoti Singhai “Speaker Identification using AM demodulated speech signal”, International journal of Electronics, Electrical and Communication Engineering, (IJEECE), Vol. 2, No. 3, June 2011 ISSN no. 0975-4814.

2. Vibha Tiwari and Jyoti Singhai “Wavelet based Noise Robust Features for Speaker Recognition”, Signal Processing: An International Journal (SPIJ), Volume (5): Issue (2), June 2011, CSC Journals, Kuala Lumpur, Malaysia, ISSN No. 1985-2339

3. Vibha Tiwari and Jyoti Singhai “Feature extraction Techniques for speech recognition” in International journal of electronics and computers, Vol 2, No. 1, January-June 2010. International science press, ISSN No. 0975-3796.

4. Vibha Tiwari and Jyoti Singhai “MFCC and its application in speaker recognition” in International journal on emerging technologies (IJET) January-June 2010, ISSN no. 0975-8364.

5. Vibha Tiwari and Deepa Ayachit, ““Emergence of women entrepreneurship in India” ,Human Rights, International Research Journal, IMRF Journals, Vol.2 Issue 1, 2014, ISSN no. 2320-6942

6. Vibha Tiwari, “Speaker Identification Using Fourier Bessel Based Feature Extraction”, International Journal of Multi Disciplinary Research, IJMR, Volume 2, Issue 10(II), January 2014, ISSN No. 2277-9302

7. Vibha Tiwari and Jyoti Singhai “AM-FM Features and Their Application to Noise Robust Speech Recognition: A Review” in the IUP Journal of Telecommunications, Vol. 2, No. 1, pp. 7-19, February 2010.

8. Vibha Tiwari, Vaishali M. Karne, Akhilesh Singh Thakur “Least mean square (lms) adaptive filter for noise cancellation” in International Journal of Application or Innovation in Engineering & Management (IJAIEM) ISSN 2319 – 4847 , 2013.

9. Vibha Tiwari, Ankur chourasia ,Akhilesh Singh Thakur, “A watershed Segmentation process based on Progressive Median filtering and gradient Map”, International journal of engineering and advanced technology(IJEAT), volume2 issue 6, August 2013, ISSN: 2249-8958

10. Vibha Tiwari and Akanksha Kanday “Enhancement Low Power Static Random Access Memory: A Review” in International Journal of Innovative Research in Technology & Science ISSN: 2321-1156 Volume V, Issue VI, November,2017.

11. Vibha Tiwari and Preeti Jha, “Design and performance analysis of a 3 junction Solar cell using PCID” International Journal of Advance Engineering and research development(IJAERD), Volume 5, Issue 5, may 2018, e-ISSN:2348-4470, p-ISSN: 2348-6406, Impact Factor: 5.71(SJIF-2017)

12. Vibha Tiwari and Jaishree Tiwari “ Design of Matrix multiplication using partition multiplier method and modified full adder” , International Journl of Innovative research in Science , Engineering and Technology, ISSN(print): 2347-6710, Vol7, Issue 8 , August 2018

13. Vibha Tiwari and Sushmita Sahu “A Review on Energy Detection Techniques for Cognitive Radio over Different Fading Channels” INTERNATIONAL JOURNAL FOR RESEARCH & DEVELOPMENT IN TECHNOLOGY (IJRDT ISSN NO: - 2349-3585 (Open Access peer Review Journal) For Volume-10, Issue-5, November-2018

14. Vibha Tiwari and Sushmita Sahu “A Novel Technique for Spectrum Sensing in Cognitive Radio Networks” International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 11 | Nov 2018 www.irjet.net p-ISSN: 2395-0072 Impact Factor value: 5.181

15. Vibha Tiwari and Dilip Kumar “High security visual crytography schemes for color share generation” International Journal of Innovative Research in Science, Engineering and Technology Vol. 8, Issue 2, February 2019

16. Vibha Tiwari and Sonali Dufare “Implementation of Hybrid Intrusion Detection System in Wireless Sensors Network” International journal of innovative trends in engineering (ijite) issue: 82, volume 58, number 01, October 2019 ISSN: 2395-2946

17. Vibha Tiwari , Hema Singh “Health Care Robots for Elderly People at Home: Past, Present and the Future” International Journal of Advanced Science and Technology Vol. 29, No. 3, (2020), pp. 15053 – 15061 , April-2020. ELSEVIER Indexed by SCOPUS

18. Vibha Tiwari, , “Survey on Digital IF Filter with Low Complexity using Multi-rate System,” Journal of Emerging Technologies and Innovative Research (JETIR), ISSN-2349-5162 September ,2020, Volume 7, Issue 9, September ,2020.

19. Vibha Tiwari, Ayushi Jain “FPGA Implementation of Polar Encoder-Decoder for 5G Artificial Intelligence Applications,” Journal of Information and Computational Science, Volume 11 Issue 9, ISSN: 1548-7741, Sep-2021 UGC-Care Group II Certified Journal

20. Vibha Tiwari, Shambhavi Shukla, “Optimization Design of Partition Multiplier based on Brent Kung Adder,” International Journal of Research & Technology, Volume 9, Issue 3, Year 2021.

21. Vibha Tiwari, Pooja Shrivastava“Design of 64-Bit Approximate Multiplier Algorithm based on Compressors and Data multipliers for High Accuracy & Speed,” Journal of Information and Computational Science, Volume 11 Issue 9 ,ISSN: 1548-7741, 2021 UGC-Care Group II Certified Journal.

22. Vibha Tiwari, Ayushi Jain “FPGA Implementation of Polar Encoder-Decoder for 5G Artificial Intelligence Applications” Journal of Information and Computational Science Volume 11 Issue 9 - 2021 PP 527 -535 ISSN: 1548-7741.

23. Vibha Tiwari, Soumya Tiwari “Object Detection and Tracking using Deep Learning and Segmentation Based Approaches” pp 230-234, International Journal of Research and Technology Volume 10, Issue 2, May2022 ISSN: 2321–7529 (Online) || ISSN: 2321–7510 (Print)

INTERNATIONAL CONFERENCES
1. Presented a paper entitled “Speech coding and synthesis by harmonically related Gaussian energy vectors” in an International Conference (WECON) held at Chitkara Institute of Engineering and Technology, Rajpura (Punjab), India on October 18-19, 2008. Co-Authors: Dr. Jyoti Singhai, Shilpa Chaman.
2. Presented a paper entitled “Feature extraction Techniques” in International Conference on Trends and Advances in computation & engineering, TRACE-2010 at Barkatullah University Institute of Technology, Bhopal (M.P.), India on February 25-26, 2010.
3. Presented a paper entitled “Ethics in Engineering” in International conference Search and Research Youth congress 2012 (SARYC – 2012) at Samanvay Bhawan, New Market, Bhopal(M.P.) organized by Search and Research Journal on December 12-13, 2012.
1. Vibha Tiwari and Deepa Ayachit “Indian women entrepreneurs: From Challenges to Success” 2013 International Conference on Women in Science and Technology (IConWiST), Taipei, Taiwan.
1. Vibha Tiwari “Speaker Identification Using Fourier Bessel Based Feature Extraction Technique” in International conference for researchers (INAAR), 28-29, January 2014,
Dubai.
1. Presented a paper entitled “Emergence of women entrepreneurship in India: an insight” in the International Conference on Women Empowerment – 2014 (ICWE-2014), March 07 - 08, 2014, Vijayawada, Andhra Pradesh, India.
1. Vibha Tiwari and Kuldeep Khajwaniya “ Satellite image denoising using Wiener filter with SPEA2 algorithm” in intelligent Systems and Control(ISCO), 2015IEEE 9th International conference, pp1-6, 9-10 Jan.2015, doi: 10.1109/ ISCO.2015.7282324. URL:http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=& arnumber=728232&isnumber=7282219
1. Vibha Tiwari and Mangleshwar patel “Asynchronous End-to-End traffic PredictedNoC design for interconnect Energy reduction in MPSoC” in the International Conference ICSNS’2015 ,February 25-27,2015, SNS college of Technology, Coimbatore-35. ieeexplore.ieee.org/iel7/7279051/7292366/07292447.pdf
2. Vibha Tiwari, Khushboo patel and Durgesh nandan “CrossTalk mitigation of Network on Chip: An analytical Review ” IEEE International conference on Electrical, Electronics and optimization Techniques(ICEEOT) March 3-5,2016, DMI college of Engineering, Chennai, Tamil Nadu, India. https://ieeexplore.ieee.org/document/7755393/
1. Vibha Tiwari and Piyush Kumar Singh “ Normalized Log Twicing function for DC coefficients Scaling in LAB colour Spacei “ in IEEE International conference on Inventive research in computing applications (ICIRCA 2018) ISBN: 978-1-5386-2456-2,11-12 July 2018,Organised by RVS college of Engineering, Coimbatore, TamilNadu
2. Vibha Tiwari and Anjali Thakur “ Review paper on FIR filter based on Complex Vedic multiplier using different types of adder” In IEEE International conference ICNTET organized by GRT Institute of Engineering and Technology, ,7-8 September18, ISBN no. 2018978-1-5386-5630, Chennai, Tamil Nadu
1. Vibha Tiwari and Anjali Thakur “Design High speed FIR filter based on complex Vedic Multiplier using CBL adder”, in IEEE International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering - (ICRIEECE) July 27th & 28th 2018 School of Electrical Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubneshwar Odisha, ISBN no. 978-1-5386-5995
1. Vibha Tiwari “ Efficient VLSI architecture for FIR filter using Vedic multiplier and kogge stone adder” in International conference on Emerging trends in computing technology and management 7th -9th February 2019.
2. Vibha Tiwari and Udayraj singh Patel “ High Secure and Low Space Data Hiding and Compression Encryption through Discrete Shearlet Transform and Block Coding Algorithm” in 2019 International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN) Organized by School of Electronics Engineering,Vellore Institute of Technology, Vellore, Tamil Nadu, India on 30 - 31 March 2019
1. Vibha Tiwari,
VLSI Architecture for High Tap IF Filter with Low Complexity using Multi-

rate Approach,” IEEE International Conference on Artificial Intelligence and Smart Systems (ICAIS), Electronic ISBN: 978-1-7281-9537-7, DVD ISBN: 978-1-7281-8381-7, Print on Demand (PoD) ISBN: 978-1-7281-9538-4 , 25-27 March 2021.

NATIONAL CONFERENCE
1. Presented a paper entitled “Speech Recognition using Hidden Markov Model” in a National conference organized by the dept. of Electronics and Communication Engineering during 11-12 October, 2008 at BRCM college of Engineering and Technology, Bahal, Haryana.
1. Presented a paper entitled “Wake On WLAN” in a National conference organized by the Dept. of Electronics and Communication Engineering during 11-12 October, 2008 at BRCM college of engineering and Technology, Bahal, Haryana.
1. Presented a paper entitled “Comparison Of different implementations of MFCC” in a national conference organized by Oriental Institute of Science and Technology, Bhopal on 26-28, Feb 2009. Sponsored by M.P. Council of Science and Technology.
1. Presented a Paper entitled “Speech Analysis” in a national conference (TECHNOSAGA) organized by Sagar Institute of research and Technology, Bhopal on 25-26 September, 2009
2. Presented a Paper entitled “Gaussian Mixture Modeling for Speaker Recognition” in a national conference organized by Gyan Ganga Institute Of Technology and Management, Bhopal on 20-21 Nov, 2009
3. Presented a Paper entitled “Wavelet Transforms and its application to speaker recognition: A Review” in a national conference (ATEMT-09) organized by Shri Ramdeo Baba Kamla Nehru college of Engineering, Nagpur, on 20-21 Nov 2009.
4. Presented a paper entitled “Feature Extraction Technique For Speaker Recognition Using AM Demodulation Of Speech Signal” in an IEEE sponsored national Conference on Recent Trends in Signal Processing and VLSI design (RTSPV-2010) organized by Gyan Ganga Institute Of Technology and Management, Bhopal on 18-20 Nov, 2010
BOOKS PUBLISHED
1. A book on Information Theory & Coding, Publisher: Dhanpat Rai & Co., New Delhi. First Edition Jan, 2008.
1. A chapter titled "Fourier Bessel and Wavelet Based Feature Extraction Technique (FBWBF) for Speaker Identification" for book titled Signal Processing: New Research, Nova Science Publishers Inc., 400 Oser Avenue, Suite 1600, Hauppauge, New York, 1178, January 2013. ISBN Number 978-1-62808-157-2
1. Co- Authored a book on Voice and Data Communication, Publisher: Dhanpat Rai & Co., New Delhi. First Edition September, 2013.

Dr. Shubha Mishra

Designation: Assistant Professor
Qualification: Ph.D
Area of Interest: Social Networks, Machine Learning, Computer Networking
Phone No:
E-Mail:

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About Faculty: Dr. Shubha Mishra is a young achiever and a faculty dedicated and determined towards imparting quality education, promoting innovative research and constantly working towards bringing holistic development in students.
Education and Qualification:
Ph.D - UIT RGPV Bhopal

M.Tech - (Hons) in 2011 from RGPV University (Silver Medalist)

B.E. - (Hons) in 2009 from RGPV University
Work Experience:
Working as Assistant Professor (AI&R) at Madhav Institute of Technology & Science Gwalior since January 2023

Worked as Assistant Professor at Lakshmi Narain College of Technology Bhopal since March 2011 to January 2023
Administrative Experience:
At present-

Working as Departmental Remedial Class Coordinator since July 2023.

Working as Departmental Weekly Class Attendance Record Coordinator since July 2024.

Working as member of Departmental Examination committee since January 2024.

Working as member of Departmental Student Counselling & Greivance Redresal & Support committee since January 2024.

In past-

Worked as SPOC for MITS DU in Smart India Hackathon 2024, organized by MHRD, Government of India.

Worked as Departmental Class Coordinator of AIML I Year since from July 2023 to June 2024.

Worked as member of Departmental Time Table committee from July 2023 to June 2024.

Worked as M.Tech Coordinator for 2 years at IT,LNCT Bhopal

Worked as Alumni Cell Coordinator for 3.6 years at IT, LNCT Bhopal

Served as Editor in chief in PLANET IT- Departmental Technical magazine from 2016 to 2018.

Tour instructor in Industrial visit of Engineering Undergraduate students of 2 days to BRBRAITT, BSNL on “Broadband, MPLS, IP Core Network & Wireless Packet Core Network” from 04/10/2013 – 05/10/2013
Research Supervision:
PG Supervision (M.Tech) - 03

UG Supervision (B.E & B.Tech)- 40+
Research Projects, Consultancy & Patents:
MOOC Development-
- Developed a MOOC course on "Social Network Analysis" in June 2023.
Research Projects-
- Co-Principal Investigator in Research Project granted of Rs. 6,50,000/- by Madhya Pradesh Council of Science & Technology on "Proposed Model for Data Mining based on various searching algorithms" since April 2023.
Patents Granted-
- Internet of Things Based system and method for monitoring the traffic and controlling traffic signals using machine learning, Patent number – 2021104850, grant date – 18 May 2022. (Australian Patent)
Copyrights Granted-
- “Improving robustness of logistic regression under label noise”, Registration number - L-104501/2021 Date – 13/05 2021
- “Opinions analysis of web data using big data analytical tools” , Registration number - L-106400/2021 Date- 07/07/2021
- “An IoT based irrigation controlling device with sensors and microenglicontroller”, Date - 02/05/2019
Honors, Award & Recognition:
1. Achieved "NPTEL Believer" in session July-December 2023 for successfully completing 5 courses with Elite certifications.

2. "Young Scientist" Award by Madhya Pradesh Council of Science & Technology (MPCST) for presenting technical paper in 35th MP Young Scientist Congress in February 2020.

3. Awarded "Fellowship for Training of Young Scientist" by Madhya Pradesh Council of Science & Technology (MPCST) in 2019 and 2020 (twice).

4. Qualified NPTEL Certification Course of 12 weeks on “Introduction to Internet of Things” with ELITE in the Session January - April 2019

5. Awarded "Best Faculty" by SRIJAN in 2013 & 2015 (twice).

6. UGC NET Qualified in 2012.

7. Awarded "Silver Medalist" in M.Tech (IT) by RGPV Bhopal in 2011.
Workshop/Conference/Organized/Attended:
WORKSHOPS/ FDPs/ SEMINARS/Webinars ORGANIZED
- Organized a 3 days Workshop on "Python Prodigy- Transforming Concepts into Applications" for AI&ML/AI&DS/AI&R II year students from 23/01/2025 to 25/01/2025.
- Organized an Expert Talk on "Industry Insights" for AI&ML/AI&DS/AI&R II year students on 15/01/2025.
- Organized a 5 days Workshop on "Code Carnival" for AI&ML/AI&DS I year students from 11/11/2024 to 14/11/2024.
- Organized a 4 days Workshop on "Web Canvas" for AI/AI&R I year students from 02/12/2024 to 05/12/2024.
- Organized an Institute Level 1 day Internal Smart India Hackathon-2024 on 06/09/2024 at MITS Gwalior as SPOC for SIH 2024.
- Organized an expert talk on "Future of AI" in association with Department of CSE & IEEE student chapter on 23/02/2024.
- Organized a webinar on “Placement tips and tricks” for IT 3^rd semester students on 23/12/2021 by IT 2022 batch placed students Ekveera Joshi(VmWare) & Manas Khare(Persistent).
- Organized an online Alumni interaction on “Online Campus preparation tricks and tips” for IT 3^rd semester students on 28 /08/2021 by IT 2021 batch Alumni Richa Jha, Software Engineer, HCL.
- Organized a webinar on “Why to solidify your Programming skills” for IT 3^rd semester students on 11/09/2021 by IT 2021 batch alumni Kunal Rathor, Solution Engineer, Deqode.
- Organized an online Alumni talk on “Modern Web Applicaions Design and Architecture Patterns” by Mr. Aniruddh Chouksey, Member of Technical staff in VmWare, IT Alumni batch 2020 on 07/11/2020.
- Organized a one day Virtual National Conference on Big Data & Intelligent System on 30 April 2020.
- Zonal Coordinator in “Ethical Hacking” of “Robothlon-2015” organized by Robosapiens Technologies Pvt. Ltd. In association with IIT, Guwahati on 08/08/2015.
- Organized a one day National Conference on “Emerging Trends in Information Technology” on 17 August 2013 at LNCT Bhopal.
- Organized 2 days IEEE International Conference on Advanced Computation & Telecommunication 2018 held at LNCT Bhopal and technically sponsored by IEEE M.P Section and IEEE Bombay Section.
- Coordinated in National Level Workshop on “Internet of Things” , Technex’18, IIT Varanasi in association with Innovians Technologies, from 23-24 February 2018 held at LNCT Bhopal.
WORKSHOPS/ FDPs/ SEMINARS PARTICIPATED
- Participated in one week online FDP on "Privacy & Security in IoT & its challenges" organized by NIT Patna from 13-17 May 2023.
- Participated in 3 days virtual National Workshop on “Privacy and Security In Cyber Physical Systems” from 23-25 November 2021 conducted by department of CSE , SVNIT Surat.
- Participated & completed successfully AICTE Training And Learning (ATAL) Academy Online Elementary FDP on "Robust AI: Building through data exploration, pre-processing and representation" from 01/10/2021 to 05/10/2021 at IIIT NAYA RAIPUR.
- Participated in TEQIP III sponsored one week online FDP on “Machine Learning: Techniques, Applications and Challenges” from 3-7 August 2021 organized by department of CSE, OIST Bhopal.
- Participated in 3 days online National Tech Conclave held during 13-15 May 2021 under CSI & IQAC organized by department of CSE, SIRT Bhopal.
- Participated in one week online FDP on “Communication Networks and Machine Learning” from 18 January-22 January 2021 organized by department of CSE, IIIT Bhagalpur.
- Participated in E&ICT Academy sponsored one week FDP on “Machine Learning and Applications” from 9-13c December 2019 organized by department of CSE LNCT Bhopal.
- Participated in MPCST sponsored one week FDP on “Counter measures for Cyber Security and Forensics” from 30 July-3 August 2019 organized by department of CSE LNCT Bhopal.
- Participated in TEQIP III sponsored one week FDP on “Machine Learning and Big data” from 3 – 7 June 2019 organized by department of CSE LNCTE Bhopal.
- Participated in one week Faculty Development Program on “Blockchain” from 2-6 April 2019 organized by UIT RGPV under ATAL scheme.
- Participated in two days FDP on “Climate Change” from 12-13 February 2019 , jointly organized by MPCDMA and SKMCCC, EPCO hosted by RGPV Bhopal.
- Participated in TEQIP III sponsored one week FDP on “Modern Computing Techniques for Testing and Web Designing” from 7-11 March 2018 organized by RGPV.
- Participated in one week Short Term Training Programme on “Soft Computing & Machine Learning” from 05-09 February 2018, jointly organized by MANIT Bhopal and E&ICT Academy, PDPM IIITDM, Jabalpur.
- Participated in MPCST sponsored one week Workshop on “Counter measures for Cyber Security & Forensics” from 30 July-03 August 2018 organized by LNCT Bhopal.
- Participated in TEQIP III sponsored one wek FDP on “Machine Learning and Big Data” from 04-08 June 2018 organized by RGPV Bhopal.
- Participated in one week FDP on “Artificial Intelligence and Machine Learning” from 17-21 December 2018 , jointly organized by E&ICT Academy through NKN and MANIT Bhopal.
- Participated in a 6 days Faculty Development Program on “Matlab & its importance in Computational Intelligence” organized by IIITDM Jabalpur in MANIT from 14-19 December 2017.
- Participated in a 5 days Refresher Course on “Cyber Security & Forensics” organized by Department of IT, UIT RGPV Bhopal under TEQIP-III from 25-29 July 2017.
- Participated in Orientation Workshop on “Mobility’ in association with IBM on 30thNovember 2013 organized by RGPV Bhopal.
- Participated in Faculty Development Program on “Data Warehousing” held on 21/01/2012 conducted by TCS at LNCT Bhopal.
- Participated in a 2 day National Seminar on “Component Based Software Engineering & Testing” sponsored by AICTE at UIT,RGPV Bhopal from 14/07/2011 – 15/07/2011.
Publications:
TECHNICAL PAPERS PUBLISHED
- "Identifying False News using Enhanced Passive Aggressive Classifier Methods", Shubha Mishra et.al , IEEE 2nd International Conference on Disruptive Technologies , 2024.
- "Automatic Train Overpass Using Camera, Load Sensors & Obstacle Detection", Shubha Mishra et.al , IEEE 2nd International Conference on Disruptive Technologies , 2024.
- "Design Partition in an Active to Imbalanced Excitation/Inhibition Hippocampus Neural Arrange", Shubha Mishra et.al, IEEE International Conference on ICT in Business Industry & Government, 2023.
- "Cyber Attack Detection using Machine Learning Techniques", Shubha Mishra et.al, IEEE International Conference on ICT in Business Industry & Government, 2023.
- “Analyzing Machine Learning Enabled Fake News Detection Techniques for Diversified Datasets”, Shubha Mishra, Dr. Piyush Shukla & Dr. Ratish Agarwal, Wireless Communications and Mobile Computing, Vol 2022, Article ID – 1575365 , doi https://doi.org/10.1155/2022/1575365 March 2022 (SCI)
- “Computational Modelling of Hippocampus to store and retrieve patterns using Spiking Neural Network”, Shubha Mishra, Dr. Piyush Shukla, Dr. Ratish Agarwal & Shailendra Kumar Mishra, presented in 2 days International Conference on Integrated Computing & Recent Technologies in Computer Science, 23-24 September 2022 (Scopus)
- “Recognizing Spam Emails/SMS using Naive Bayes and Support Vector Machine”,Ratnesh Dubey, Shubha Mishra , Complex Systems and Complexity Science Journal, Vol8(4), 2021 (Scopus)
- “Location wise Opinion mining of Real Time Twitter Data using Hadoop to reduce Cyber Crimes”, Shubha Mishra, Dr. Piyush Shukla & Dr. Ratish Agrawal, 2^nd International Conference on Data, Engineering and Applications(IDEA), 28-29 February 2020, IEEE Xplore.
- “Sentiment Analysis of Movie Reviews”, Shubha mishra, 35^th MP Young Scientist Congress, 28-29 February 2020.
- “A smart fault detection system for Indian Railways”, Shubha Mishra, Adamya Shrivastava, Bhumika Shrivastava, International Journal of Scientific & Technology Research, Vol8(10) October 2019. (Scopus)
- “Review paper on existing Machine Learning Techniques used for used for challenges with Big Data”, Palak Vyas, Dr. Kirti Jain, Shubha Mishra, JETIR, Vol6(3) , March 2019
- A survey paper on Classification of Sybil activities on Online Social Network using Machine Learning Techniques”, Shubha Mishra, Dr. Piyush Shukla, Dr. Ratish Agrawal, International Conference on RASIMR, 30 November -1 December 2019.
- “Analysis of User Sentiments using various machine learning algorithms”, Shubha Mishra, 34^th MP Young Scientist Congress, 28 Feb - 1March 2019.
- “An enhanced encryption Technique using BCD and bit Complementation”, Shashi Gautam and Shubha Mishra, IJRET, Vol 4(1), January 2017.
- “A survey on generation and evolution of various cryptographic techniques”, Shashi Gautam and Shubha Mishra, IJRET Vol 4(1), January 2017.
- “Taxonomy of Bollywood and hindi music in reference to mood”, Shruti Taran and Shubha Mishra, IJCST Vol 6(2), December 2016.
- “A proposed model to create playlist based on mood for bollywood songs”, Shruti Taran and Shubha Mishra, IJCST Vol 4(6), November-December 2016.
- “Three words: determine the segments of Research Paper”, Shruti Taran and Shubha Mishra, IERJ Vol 2(11), November 2016.
- “ANN Approach based on Back Propagation Network and Probabilistic Neural Network to classify brain cancer”, Shweta Jain , Shubha Mishra, IJITEE Vol 3(3), August 2013.
- “Review of biological neuron and Artificial Neural Network”, Shubha Mishra, NJESM Vol 2(2), December 2012.
- “Phishing Attacks in Network Security”, Shubha Mishra, National Conference organized by LNCT Bhopal on 26-27 March 2010.
- “Exising trends in IDS- A comparative analysis”, Shubha Mishra, Dr. Manish Shrivastava, IJITKM, December 2011.
- “Efficient secure clustering protocol for Mobile Ad hoc Network”, Shubha Mishra, Dr. Manish Shrivastava, JGRCS, Vol 2(9), September 2011.
  - BOOKS Published - 02
  - Published a book on “Data Communications and networking” Publisher- AMS publication , VAISHALI(NATIONAL PUBLICATION) GOVT(MHRD) REGISTERED, ISBN 978-81-935478-8-5, Publish Volume 1, Edition 1, September 2018.
- Published a book on SOFTWARE ENGINEERING AND TESTING” Publisher:-LAMBERT ACADEMIC PUBLISHING (INTERNATIONAL PUBLICATION), ISBN 978-613-9-93373-0, Publish December 2018.
  
  BOOK Chapters Published – 01
  - “Deepfakes, Media and Societal Impacts”, Publisher- CRC Press, 1^stEdition, eBook ISBN – 9781003231493, chapter 9, pages- 06 Year 2022 DOI https://doi.org/10.1201/9781003231493

Dr. Abhishek Bhatt

Designation: Assistant Professor

Qualification: B.E., M. Tech., Ph.D. (IIT Roorkee)
Area of Interest: Machine Learning, Pattern Recognition

Phone No: +91-90
E-Mail:

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About Faculty: With an experience of more than 15 years in teaching, he has authored more than 70 journal/conference research papers and reviews the papers submitted to some top-notch journals like IEEE Access, and IEEE Transactions, etc. He has delivered lectures in several Universities/ Industrial Organizations in India and abroad. He is an active member of various societies like IEEE, IET, and IETE. He is also an academic council member of the CTMS Society. He is associated with the Board of studies of various engineering institutes in India and abroad. He has chaired various international conferences in India and abroad. He has worked with some of the top-notch companies like Samsung Research Institute Bangalore on various research projects in the domain of Machine Learning and Deep Learning for different industrial problems. His current research interests include Data Science, Machine Learning, Deep Learning, Computer Vision, Pattern Recognition, IoT, and Cloud Computing.
Education and Qualification:
B.E., M.Tech., Ph.D. (Indian Institute of Technology, Roorkee)
Work Experience:
15+ years of work experience of teaching at some of the top notch educational institutes in India, like College of Engineering Pune; Symbiosis, Pune; etc.
Administrative Experience:
- Working as a core committee member for various portfolios that include industry visit, ranking framework (NIRF, ARIIA etc.), MOOCs coordinator, NAAC coordinator, and NBA coordinator at the department as well as institute level with College of Engineering Pune.
- SPOC for Samsung Research, TCS Research, Solytics Partners at COEP Tech Pune.
- Developed a course of PGDIoTEP (PG Diploma in IoT and Embedded Programming) at College of Engineering Pune in association with KPIT, Millenium Semiconductors, and Aplha ICT.
- Chairman of BoS at Symbiosis Skills and Professional University, Pune for school of Data Science.
- General Chair for the International conference CVR-2024 held at Symbiosis Skills and Professional University Pune in May-2024.
- General Chair for the International conference CVR-2025 going to be held at NIT, Goa.
Research Supervision:
No. of PG thesis Guides 25+ in the domain of Machine Learning, Computer Vision, Time series analysis, Deep Learning etc.
Research Projects, Consultancy & Patents:
- Title: A System and Method for Secure and Competent Energy-Aware Routing in Spontaneous Wireless Sensor NETWORK, Patent No.: 202021052979; Date of Award: 12/02/2021 Awarding Agency: IP India, Status: Published
- Title: Multimode Image Fusion Technique for Automated Correlation Identification in Medical Images, Patent Reference No.: 2021105871; Date of Award: November 03, 2021, Awarding Agency: IP Australia, Status: Granted
- Title: Responsible system based on artificial intelligence for intelligent and climate-friendly energy production, Patent Reference No.: 20 2022 105 963.2; Date of Award: November 22, 2022, Awarding Agency: IP Germany, Status: Granted
- An intelligent pose recommendation system using feature fusion for humans’ (A US patent filed in collaboration with Samsung Research Institute, Bangalore, and College of Engineering Pune), Status: Filed
Honors, Award & Recognition:
1. Session conducted on the topic “AI & ML research strategies” as resource person during Five days ATAL FDP on “Artificial Intelligence and Machine Learning” at JSPM's Jayawantrao Sawant College of Engineering, Hadapsar, Pune, Department of CSE on 05^th February 2024
2. Session conducted on the topic “Cloud platforms for IoT applications” as resource person during Five days ATAL FDP on “Evolving Industrial Applications of IOT and AI: Theoretical and Practical Approach” at COEP Technological University, Pune, Department of E & TC on 08^th January 2024
3. Session Chair in IEEE- PuneCon-2023 jointly organized by COEP Technological University, Pune, and IEEE Pune section, on dated 15^th, December 2023.
4. Keynote session on “Data Science: Applications and Use cases” at International Conference on 'Recent Trends in Multidisciplinary Innovations (ICRTMI-2023) Corporate Institute of Science and Technology, Bhopal on 30^th 2023
5. Session conducted on the topic “Introduction to Artificial Intelligence and Machine learning for Mechanical Engineers” as resource person during Five days ATAL FDP on “Exploring Perspectives of AI and ML in Mechanical Engineering” at Mechanical Engineering Department, K. K. Wagh Institute of Engineering Education and Research Nashik, on 27^th 2023.
6. Session Chair at 7^thInternational Conference on Computing, Communication, Control, and Automation (ICCUBEA – 2023), organized by PCET’s Pimpri Chinchwad College of Engineering (PCCoE), Pune Technically co-sponsored by IEEE Pune Section on 18^th August 2023.
7. Expert Lecture delivered on “Entrepreneurship and Innovation Management Concepts”, organized by IIC - Ministry of Education and IES foundation for Incubation & Entrepreneurship, Bhopal on dated 19^th October 2022.
8. Session conducted on the topic “Data Science and Computer Vision” as resource person during Two weeks of offline FDP on “Data Science” under AICTE-AQIS at Department of E & TC, Dr. Babasaheb Ambedkar Technological University, Lonere, Maharashtra, from 14^th to 15^th June 2022.
9. Expert Lecture delivered on the topic “Image Enhancement and Pseudo Coloring” at Sharad Institute of Technology College of Engineering, Kolhapur, Department of E & TC, on 10^th June 2022.
10. Session conducted for the topic “Cloud Platforms for utilizing IoT Data” as resource person during AICTE Idea Lab Sponsored one-week advanced Faculty Development Program on “Electronics System Design” at college of Engineering Pune, Department of E & TC on 6^th June 2022.
11. Session Chair at International Conference on Recent Advances in Materials, Manufacturing and Machine Learning (RAMMMl-2022) held at YCCE, Nagpur in association with The Institution of Engineers, on dated 27^th, April 2022.
12. Expert Lecture delivered on the topic “Image Analysis with Python and Deep Learning Concepts” at Walchand college of Engineering, Sangli, Department of IT, on 26^th March 2022.
13. Session conducted on the topic “Deep Learning for Computer Vision” as resource person during Five days online FDP on “Emerging trends in Computational Intelligence (COIN-2022)” at Babu Banarasi Das Northern India Institute of Technology, Lucknow, Department of CSE on 16^th February 2022.
14. Session conducted on the topic “Cloud Computing for IoT Platforms” as resource person during Five days online ATAL FDP on “Internet of Things” at Technocrats Institute of Technology Bhopal, Department of E & TC on 12^th February 2022.
15. Session conducted on the topic “classification algorithms” as resource person during five days FDP on “Data Analytics using python” at college of Engineering Pune, Department of CSE from 23^rd December 2021.
16. Session Chair at 3rd International Conference on Machine Intelligence and Signal Processing held at NIT, Arunachal Pradesh on dated 23^rd – 25^th September 2021.
17. Session Chair at 10th IEEE International conference, CSNT2k21 held at OIST, Bhopal in association with AICTE and IEEE MP section on dated 18^th – 19^th June 2021.
18. Expert Lecture delivered on “Machine Learning application for image Processing” organized by IIIT, Bhopal on dated 23^rd March 2021.
19. Expert Lecture delivered on “IETE expert talk on Green Communication: A futuristic Concept”, organized by IETE student Branch and IES college of technology, Bhopal on dated 31^st December 2020.
Workshop/Conference/Organized/Attended:
1. Patil, A., Ingale, J., Upadhye, A., Jaiswal, S., Kakade, S., & Bhatt, A. (2023, June). Deep Learning-based approach for Indian License Plate Recognition using Optical Character Recognition. In 2023 IEEE Guwahati Subsection Conference (GCON)(pp. 1-5). (IEEE)
2. Auti, R., Bhatt, A. and Tidake, S., 2023, November. Comparative Analysis of Machine Learning Algorithms for Genomic Data. In 2023 1st DMIHER International Conference on Artificial Intelligence in Education and Industry 4.0 (IDICAIEI)(Vol. 1, pp. 1-6). (IEEE).
3. Akhade, M., Mahapatra, B. and Bhatt, A., 2023, November. Sentiment Analysis Using NLP & Deep Learning on Social Media Tweets. In 2023 1st DMIHER International Conference on Artificial Intelligence in Education and Industry 4.0 (IDICAIEI)(Vol. 1, pp. 1-6). (IEEE).
4. Shinde, S., Kulkarni, S., Kulkarni, P. and Bhatt, A., 2023, November. Machine learning Based Clustering Using Spotify Audio Features. In 2023 1st DMIHER International Conference on Artificial Intelligence in Education and Industry 4.0 (IDICAIEI)(Vol. 1, pp. 1-5). (IEEE).
5. Gabda V., Tidake S., Bhatt A., 2023, November. A CNN Based Approach for Depression Detection. In 2023 1st DMIHER International Conference on Artificial Intelligence in Education and Industry 4.0 (IDICAIEI)(Vol. 1, pp. 1-5). (IEEE).
6. Taware P., Patil S., Sargar S., Anchlia M., and Bhatt A., “An Intelligent Human Pose Recommendation System using feature fusion technique”, in 3rd International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV-2022) during Nov 24-25, 2022, by Manipal University Jaipur. (Springer)
7. Dalvi T. and Bhatt A., A Deep learning-based approach for Automatic detection of Hurricane damage using satellite images, 2023 8th International Conference on Convergence of Technology (I2CT) organized by IEEE Bombay Section from 07 – 09 April 2023. (IEEE)
8. Chavan P., and Bhatt A., “Performance analysis of Machine Learning Algorithms for Rainfall Prediction: A case study of Pune, Maharashtra” in 2022 IEEE Pune Section International Conference (IEEE PuneCon- 2022) Jointly organized by IEEE Pune Section in association with Persistent Systems at IIIT Pune from 15 – 17 December 2022. (IEEE)
9. Tejal Rane and Abhishek Bhatt, "A Deep learning-based regression scheme for angle estimation in image dataset" in 5^th International Conference on Recent Trends in Image Processing & Pattern Recognition (RTIP2R-2022) Texas A&M University Kingsville, Texas (USA), December 1-2, 2022. (Springer) https://doi.org/10.1007/978-3-031-23599-3_21
10. Khanvilkar D., and Bhatt A., “Skin Cancer Detection from RGB Images using LBP and HOG Texture Feature Descriptors with help of Machine Learning Algorithm” in 2^nd International Conference on Signal and Information Processing (IConSIP-2022) College of Engineering Pune, Pune, India, August 25-27, 2022. (IEEE).
11. Shastri P., Patil C., Wanere P., Mahajan S. and Bhatt A., “Adversarial synthesis-based data-augmentation for Speech classification” in 2^nd International Conference on Signal and Information Processing (IConSIP-2022) College of Engineering Pune, Pune, India, August 25-27, 2022. (IEEE).
12. Chatufale A., Rege P. P., Bhatt A., “Extraction of waterbody using object-based image analysis using XGboost”, in 3rd International Conference on Machine Intelligence and Signal Processing held at NIT ARUNACHAL PRADESH, INDIA from September 23-25, 2021 (Springer)
13. Bhatt A., Ghosh S. K., Kumar A., “Automated Change Detection in Satellite Images Using Machine Learning Algorithms for Delhi”. 2015 IEEE International Geoscience & Remote Sensing Symposium (IGARSS), July 26-31, Milan, Italy, pp.1678–1681, DOI: 1109/IGARSS.2015.7326109. (IEEE) Print ISSN: 2153-6996 Electronic ISSN: 2153-7003 (IEEE)
14. Gajbhiye, D. Sen, A. Bhatt, and G. Soni, “DPLPLN: Detection and Prevention from Flooding Attack in IoT,” 2020, doi: 10.1109/ICOSEC49089.2020.9215381. (IEEE)
15. Ahmad, T. Ahmad, A. Bhatt, and S. Siddiqui, “A Shapley value approach for community detection in social network,” 2019, doi: 10.1007/978-981-13-2254-9_22. (IEEE)
Publications:
1. Bhatt, Abhishek, et al. "Quantum-Inspired Vortex Search Algorithm with Deep Neural Networks for Multi-Pose Facial Expression Recognition." International Journal of Modern Physics C (2024). (World Scientific) https://doi.org/10.1142/S0129183124501535 (SCI/IF-1.9)
2. Bhatt, A., and Bhatt, V.T., 2023. Dcrff-Lhrf: an improvised methodology for efficient land-cover classification on eurosat dataset. Multimedia Tools and Applications, pp.1-25. https://doi.org/10.1007/s11042-023-17612-y (Springer) (SCI/IF=3.6)
3. Gill, H.S., Murugesan, G., Mehbodniya, A., Sajja, G.S., Gupta, G. and Bhatt, A., Fruit type classification using deep learning and feature fusion. Computers and Electronics in Agriculture, 211, p.107990. (2023), https://doi.org/10.1016/j.compag.2023.107990 (Elsevier) (SCI/IF=8.3)
4. Bhatt, A., Choubey, S.B., Choubey, A. Computer vision-based predictive analysis of chronic cardiovascular disease using heartbeat features. Multimedia Tools and Applications (2022), https://doi.org/10.1007/s11042-022-14020-6. (Springer) (SCI/IF=3.6)
5. Roy, S., Binu, D., Rajakumar, B.R., Talasila, V. and Bhatt, A., Super Resolved Maize Plant Leaves Disease Detection Using Optimal Generative Adversarial Network. International Journal of Image and Graphics, p.2450003https://doi.org/10.1142/S0219467824500037 (World Scientific) (SCI/IF=1.6)
6. Tamboli, S.S., Butta, R., Jadhav, T.S. and Bhatt, A., Optimized active contor segmentation model for medical image compression. Biomedical Signal Processing and Control, 80, p.104244. https://doi.org/10.1016/j.bspc.2022.104244 (Elsevier) (SCI/IF=5.1)
7. Bhatt A., and Thakur. V. "An Optimized Deep Belief Network for Land Cover Classification Using Synthetic-Aperture Radar Images and Landsat Images." The Computer Journal(2022), Oxford University Press. https://doi.org/10.1093/comjnl/bxac077 (Oxford Academic)(SCI/IF=1.494)
8. Gill, H.S., Murugesan, G., Khehra, B.S., Sajja, G.S., Gupta, G. and Bhatt, A., Fruit recognition from images using deep learning applications. Multimedia Tools and Applications, pp.1-22. (Springer) https://doi.org/10.1007/s11042-022-12868-2 (SCI/IF=3.6)
9. Natarajan, R., Mehbodaniya, A., Rane, K.R., Jindal, S., Hasan, M. F., Vives, L. and Bhatt, A., Intelligent Gravitational Search Random Forest Algorithm for Fake News Detection. International Journal of Modern Physics C. https://doi.org/10.1142/S012918312250084X (World Scientific) (SCI/IF-1.9)
10. Al Kafy, A.., Abdullah-Al-Faisal, Al Rakib, Bhatt A., et.al., The operational role of remote sensing in assessing and predicting land use/land cover and seasonal land surface temperature using machine learning algorithms in Rajshahi, Bangladesh. Applied Geomatics13, no. 4 (2021): 793-816. https://doi.org/10.1007/s12518-021-00390-3 (Springer) (SCI/IF=2.7)
11. Vives, L., Tuteja, G.S., Manideep, A.S., Jindal, S., Sidhu, N., Jindal, R. and Bhatt, A., A Novel Hybrid Approach of Gravitational Search Algorithm and Decision Tree for Twitter Spammer Detection. International Journal of Modern Physics C, C 33, no. 05 (2022): 2250060. https://doi.org/10.1142/S0129183122500607(World Scientific) (SCI/IF-1.9)
12. Bhatt, A., Alam, T., Rane, K.P., Nandal, R., Malik, M., Neware, R., and Goel, S., 2021. Quantum-Inspired Meta-heuristic Algorithms with Deep Learning for Facial Expression Recognition under Varying Yaw Angles. International Journal of Modern Physics C, C33, no. 04 (2022): 2250045 https://doi.org/10.1142/S0129183122500450 (World Scientific) (SCI/IF-1.9)
13. Rathore, N.K., Pandey, D., Doewes, R.I., Bhatt, A., A Novel Security Technique Based on Controlled Pixel Based Encryption of Image Blocks for Sharing a Secret Image. Wireless Pers Communications, 121(1), pp.191-207 (2021). https://doi.org/10.1007/s11277-021-08630-w (Springer) (SCI/IF-2.2)
14. Khan, S. I., Choubey, S. B., Choubey, A., Bhatt, A., Naishadhkumar, P. V., & Basha, M. M. (2021). Automated glaucoma detection from fundus images using wavelet-based denoising and machine learning. Concurrent Engineering, 30(1), pp.103-115 https://doi.org/10.1177/1063293X211026620 (SAGE) (SCI/IF-2.5)
15. Wadhwa, A. Bhatt, H. Patel, D. S. Rajput, and P. Chouksey, “Image Classification of Various Pet Breeds using Transfer Learning Approach,” Agrociencia J., vol. 54, no. 7, pp. 17–25, 2020. (The Colegio de Postgraduados) (SCIE/ IF- 0.370)
16. Bhatt A., Ghosh S. K., Kumar A. “Spectral indices-based object-oriented classification for change detection using satellite data,” Int J Syst Assur Eng Manag (2016). Springer India, February 2018, Volume 9, Issue 1, pp 33–42 ISSN: 0975-6809 (Print) 0976-4348 (Online) https://doi.org/10.1007/s13198-016-0458-7. (Springer) (SCI/IF=2.0)
17. Lalotra, Gotam Singh, Vinod Kumar, Abhishek Bhatt, Tianhua Chen, and Mufti Mahmud. "iReTADS: An Intelligent Real-Time Anomaly Detection System for Cloud Communications Using Temporal Data Summarization and Neural Network." Security and Communication Networks2022 (2022). (Wiley) https://doi.org/10.1155/2022/9149164 (Scopus)
18. Bhatt A, Shankar R, Niedbała G, Rupani A. Investigation of the Non-Orthogonal Multiple Access System Using Long Short-Term Memory Based Deep Neural Network. International Journal Of Computing and Digital System. 2021 Aug 18. (Scopus & ESCI) https://journal.uob.edu.bh/handle/123456789/4442
19. Gupta, S., Gupta, A., Pandya, I.Y., Bhatt, A., and Mehta, K., 2021. End-to-end secure e-voting using blockchain & quantum key distribution. Materials Today: Proceedings. ISSN 2214-7853, https://doi.org/10.1016/j.matpr.2021.07.254. (Scopus)
20. Kafy AA, Dey NN, Al Rakib A, Rahaman ZA, Nasher NR, Bhatt A. Modeling the relationship between land use/land cover and land surface temperature in Dhaka, Bangladesh using CA-ANN algorithm. Environmental Challenges. 2021 Aug. (Scopus) https://doi.org/10.1016/j.envc.2021.100190
21. Bhatt and Fatima, “Architecture of 2X2 FIR Filter using Vedic Multiplier and Brent-Kung Adder,” Int. J. Innov. Technol. Explore. Eng., vol. 9, no. 5, pp. 1638–1642, Mar. 2020, doi:10.35940 /ijitee.e3070.039520. (Scopus)
22. Abhishek Bhatt, Pooja Kotkar, Dr. Pradeep Chouksey, Prof. Pooja Rai, “Implementation of UWB Band Pass Filter Using Stub Resonator and drill out the best simulation outcome” High Technology Letters Volume 26 Issue 8 Pages 918-926 ISSN: 1006-6748 (Scopus)
23. Abhishek Bhatt, Pooja Kotkar, Dr. Pradeep Chouksey, Prof. Pooja Rai, “Universal Filtered Multicarrier (UFMC) Transmitter-Implementation using FFT and FIR Filter” High Technology Letters Volume 26 Issue 8 Pages 911-917 ISSN: 1006-6748 (Scopus)
24. Gupta, A. Bhatt, V. T. Bhatt, “BER and Spectrum Efficiency Analysis of Massive MIMO Systems for IoT Application” International Journal of Recent Technology and Engineering (IJRTE), ISSN: 2277-3878 Volume 8, Issue 4, Pages 10587-10591, doi:10.35940/ijrte.D8723.118419 (Scopus)

Dr. Shipra Shukla

Designation: Assistant Professor

Qualification: PhD (IIT-ISM, Dhanbad), M.Tech, B.E, UGC-NET and GATE Qualified.
Area of Interest: Machine Learning, Soft Computing

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About Faculty: Dr Shipra Shukla is currently working as an Assistant Professor in Madhav Institute of Technology & Science Gwalior. Her areas of interest include Automatic Music Composition, Machine Learning, Evolutionary Algorithms and Artificial Intelligence.
Education and Qualification:
- PhD in Computer Science & Engineering from Indian Institute of Technology (ISM), Dhanbad in the year 2023.
- M.Tech in Computer Science from Devi Ahilya University, Indore in year 2016.
- B.E. in Computer Science & Engineering from University Institute of Technology-RGPV, Bhopal in year 2014.
Work Experience:
Worked as Assistant Professor from 18 Jan 2023 to 28 June 2024 in the Department of Data Science & Engineering at Manipal University Jaipur, Jaipur (Rajasthan).

Dr. Hardev Singh Pal

Designation: Assistant Professor

Qualification: Ph.D. (PDPM-IIITDM Jabalpur), M.Tech. (ABV-IIITM Gwalior), B.E. (MITS Gwalior)
Area of Interest: Biomedical Signal Analysis, Evolutionary Techniques, Image Processing and Computer Vision.

Phone No: 91-XXXXXXXXXX
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About Faculty: Dr. Hardev Singh Pal has completed his PhD degree from PDPM IIITDM Jabalpur, in the field of Biomedical Signal Processing and Artificial Intelligence. He received his M.Tech. degree in Computer Science Engineering from ABV-IIITM Gwalior, Gwalior, in 2015, and B.E. degree in Electronics Engineering from the Madhav Institute of Technology and Science (MITS) Gwalior, Gwalior, in 2012. He has published several SCI journals and conferences and also reviewer of some reputed journals and conferences. He is currently associated with MITS as an Assistant Professor in department of Centre for Artificial Intelligence from July 2024. His research interests include Biomedical Signal Processing , Evolutionary Techniques, Machine Leaning Techniques, Image Processing and Computer Vision Applications.

Education and Qualification:

#	Degree	Institute/ Board	Specialization	Year
1	PhD	PDPM IIITDM Jabalpur	Biomedical Signal Processing and Artificial Intelligence	2023
2	M.Tech.	ABV IIITM Gwalior	Computer Science Engineering	2015
3	B.E.	MITS Gwalior	Electronics Engineering	2012

Work Experience:

#	Name of the Organization	Designation	From Date	To Date
1	MITS Gwalior	Assistant Professor	01/07/2024	Present
2	GLA University	Assistant Professor	20/11/2023	26/06/2024
3	PDPM- IIITDM Jabalpur	Research scholar and Teaching assistant	14/08/2020	13/11/2023
4	THDC-IHET Tehri (TEQIP III, NPIU)	Assistant Professor	18/01/2018	07/08 /2020
5	MITS Gwalior	Assistant Professor	13/07/2015	15/06 /2016

Research Projects, Consultancy & Patents:
Patents
1. Indian design patent titled “ Artifical Electronic Hand with Electromyographic (EMG) ” Design no. 396426-001. (Published)
2. Deep learning techniques based image dehazing, Indian Application no. 202321052335. (Published)
Honors, Award & Recognition:
- Got MHRD Assistantship for M.Tech. and Ph.D.
- Gate qualified
- UGC-NET qualified
Workshop/Conference/Organized/Attended:
- Completed Five days workshop on Artificial Intelligence and Deep Learning organized by the Deptt. of CSE and ECE, MANIT Bhopal (02-06 Jan 2023).
- Worked as a reviewer for IEEE 6th Conference on Information and Communication Technology (IEEE-CICT 2022), held at ABV-IIITM Gwalior (18-20 Nov 2022)
- Completed 12-week FDP on Microelectronics: Device to Circuits through NPTEL (Jul-Oct 19)
- Worked as an organizing committee member in ICSC-2019 held at THDC-IHET, Tehri, Uttarakhand (19-21 April 2019)
- Completed one-week FDP on Embedded Systems and Interfacing hands-on held at THDC-IHET Tehri (10-14 June 2019)
- Attended five days workshop on Advance Pedagogy and digital Tools held at IIT Roorkee (17-21 June 2019)
- Participated in 5-day FDP on Wireless Communication held at ABV-IIITM Gwalior (3-7 Dec 2018)
- Attended one day workshop on Applied Computing under QIP held at MITS Gwalior on 29-03-2016.
- Attended a one-day national workshop on Research Methodology under TEQIP-II held at MITS Gwalior on 29-01-2016.
- Worked as a volunteer at Ninth IEEE International Conference on Industrial and Information Systems (ICIIS2014) held at ABV-IIITM Gwalior in December 2014.
Publications:
Journals
1. Pal, S., Kumar, A., & Vishwakarma, A., Singh, G. K. (2023). Optimized Tunable-Q Wavelet Transform based 2D ECG compression technique using DCT, IEEE Transactions on Instrumentation and Measurement, vol. 72, 2023, pp. 1-11. (SCI Q1)
2. Pal, H. S., Kumar, A., Vishwakarma, A., Singh, G. K., & Lee, H. N. (2024). A new automated compression technique for 2D electrocardiogram signals using discrete wavelet Engineering Applications of Artificial Intelligence, 133, 108123. (SCIE Q1)
3. Pal, H. S., Kumar, A., Vishwakarma, A., & Lee, H. N. (2023). Electrocardiogram signal compression using adaptive tunable-Q wavelet transform and modified dead-zone ISA transactions, 142, 335-346. (SCIE Q1)
4. Pal, H. S., Kumar, A., Vishwakarma, A., & Ahirwal, M. K. (2022). Electrocardiogram signal compression using tunable-Q wavelet transform and meta-heuristic optimization Biomedical Signal Processing and Control, 78, 103932. (SCIE Q1)
5. Pal, S., Kumar, A., Vishwakarma, A., Singh, G. K., & Lee, H. N. (2023). An effective ECG signal compression algorithm with self controlled reconstruction quality. Computer Methods in Biomechanics and Biomedical Engineering, 1-11. (SCIE Q3)
Conferences
1. Pal, S., Kumar, A., & Vishwakarma, A. (2021, December). Electrocardiogram Compression using Optimized TQWT and Dead-Zone Quantizer. In 2021 International Conference on Control, Automation, Power and Signal Processing (CAPS) (pp. 1-6). IEEE.
2. Pal, S., Kumar, A., & Vishwakarma, A. (2021, December). TQWT based Electrocardiogram Compression using Optimized Thresholding. In 2021 Advanced Communication Technologies and Signal Processing (ACTS) (pp. 1-5). IEEE.
3. Pal, S., Kumar, A., Vishwakarma, A., & Balyan, L. K. (2022). A Hybrid 2D ECG Compression Algorithm using DCT and Embedded Zero Tree Wavelet. Conference on Information and Communication Technology (CICT) (pp. 1-5). IEEE
4. Pal, H. S., Kumar, A., & Vishwakarma, A. (2023, March). Singular Value Thresholding based Sparse Reconstruction Algorithm for 2D ECG Signals. In 2023 10th International Conference on Signal Processing and Integrated Networks (SPIN) (pp. 822-827). IEEE.
5. Mishra, , Kumar, A., Rathor, V. S., Pal, H. S., & Singh, G. K. (2023, December). Color Crop Image Compression Technique using Singular Vector Sparse Reconstruction. In 2023 IEEE 7th Conference on Information and Communication Technology (CICT) (pp. 1-5). IEEE.
6. Singhai, P., Pal, H. S., Kumar, A., & Baderia, K. (2023, December). An ECG Signal Compression Technique based on DCT and Evolutionary Algorithms. In 2023 9th International Conference on Signal Processing and Communication (ICSC) (pp. 510-515). IEEE.

Dr. Shweta Chauhan

Designation: Assistant Professor

Qualification: Ph.D
Area of Interest: Natural Language Processing, Deep Learning, Automatic Evaluation Metrics.

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Dr. Rahul Kumar

Designation: Assistant Professor

Qualification: Ph.D.
Area of Interest: Nonlinear Systems, Adaptive Control, Soft Computing

Phone No: +91 xxxxxxxxxx
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Dr. Sumit Dhariwal

Designation: Assistant Professor
Qualification: Ph.D (MUST University Malaysia, Singapore Research Center)
Area of Interest: Security and privacy in Ad-Hoc Networks, Internet of Things, Machine Learning.
Phone No: 9752070470
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About Faculty: Dr. Sumit Dhariwal, an Assistant Professor at MITS-DU in India, earned a PhD from Malaysia University of Science and Technology (Singapore Research Center). His research focusses on image processing, artificial intelligence, crop disease detection, and cybersecurity, with over 30 publications. He has extensive expertise teaching IT and computer science courses.
Research Projects, Consultancy & Patents:
- 08/2024 Intelligent Network Moving Smart Sensors for Future-Scanning Environmental Monitoring Dr. Sumit Dhariwal 202411079636, Filled on 20/10/2024, Publication Date: 01/11/2024
- 08/2024 Health Guardian - A Sankalp to Always Monitor Your Health Dr. Sumit Dhariwal 202411063718, Filled on 23/08/2024. Publication Date: 30/08/2024
- 05/2024 A Deep Learning-Adaptive System for Removing Noise from Audio Signals. Dr. Sumit Dhariwal, 202411036889 Filled on 10/05/2024/
- 03/2024 An Autonomous Drone-Based Farming Product Classification System for Efficient Farming Dr. Sumit Dhariwal, 202411017559 Filled on 12/03/2024. Publication Date : 19/04/2024
- 10/2023 CRIMINAL HIDDEN WEAPONS DETECTION AND TRACKING SYSTEM FOR HOME SECURITY Dr. Sumit Dhariwal, 202311069094 Published on 24/Nov/2023.
- 10/2023 VOICE-ENABLED PRESENTATION ASSISTANT (VEPA) Dr. Sumit Dhariwal, .202311061193, Published on 13/10/2023
- 09/2023 BE A BETTER WAY OF TRACKING FOOD, BOOK, CLOTHES, UNUSED ITEMS, TOYS PRODUCTS THAT HAVE BEEN DONATED AND DISPOSED OF ITEM Dr. Sumit Dhariwal, 202311056972 Published on 29/09/2023.
- 09/2023 Tree Root Detection Method for Safe Environment Dr. Sumit Dhariwal (Corresponding inventor) 202311055468 Published: 15/09/2023
- 06/2023 SYSTEM FOR DETECTING AND IDENTIFYING PERSONS OR OBJECTS USING X-RAY AND VISION CAMERA Dr. Sumit Dhariwal (Corresponding inventor) 202311042734 Published 21/07/2023.
- 12/2022 Smart Waste Collection and Management Device Dr. Sumit Dhariwal (Corresponding inventor) 202311019168 Published on 12/05/2023.
- 01/2021 IoT ENABLED SYSTEM FOR CYBER POLICING AT HIGH ALERT CRIMINAL ACTIVITY ZONE (IOT-CPHCZ) (India) Patent Application No. :202021054890; Published on 22/01/2021
- 04/2021 PMSAVII - PATIENT MONITORING SYSTEM BY AUDIO, VIDEO AND IMAGE, TEXT DATA ANALYSIS USING IOT AND ARTIFICIAL INTELLIGENCE (India) Patent Application No. : 202111013628 Published at 23/04/2021.
- 12/2020 AUTONOMOUS DRONE BASED CYBER POLICING ASSISTANCE AT CRITICAL RISK SCENARIO USING AI AND MACHINE LEARNING TECHNIQUE (India) Patent Application No. 202021055433; Published on 22/01/2021.
Honors, Award & Recognition:
Awards & Achievements
- Best Paper Award, IEEE Conference ICCC, Sistec – Jan 2012, Recognized for outstanding research contribution at IEEE ICCC Sistec, Bhopal
Book Publications
- Computer Networking, The Cross-Country Publication, Bhopal, Published
- Security in Mobile Ad-Hoc Network, Lap Lambert, Published
- Learn Artificial Intelligence, Notion Press, Published Jan-2025 https://notionpress.com/read/learn-artificial-intelligence
- Machine Learning A Practitioner's Guide, Notion Press, Published Jan-2025 https://notionpress.com/read/machine-learning-1410166654
Workshop/Conference/Organized/Attended:
- Conducting 2024 IEEE International Conference on Augmented Reality, Intelligent Systems, and Industrial Automation (ARIIA-2024), https://conference.manipal.edu/ARIIA2024/Committee At MAHE Campus Mangalore 20 and 21 Dec 2024.
- Coordinating & Conducting 05 days Short Term Course (STC) for “OpenCV for Image and Video Processing Applications” organized by the department of IT at Manipal University Jaipur in association with NITTTR- Chandigarh scheduled from 22^nd – July 24– 26^th -July.24.
- Coordinating & Conducting 05 days Short Term Course (STC) for “NBA & NAAC” organized by the department of IT at Manipal University Jaipur in association with NITTTR- Chandigarh scheduled from 27^th – May 24– 31^st -May.24.
- Coordinating & Conducted 05 days Short Term Course (STC) for “AI/ML and Data Science for Industry 4.O (Advanced Level)” organized by the department of IT at Manipal University Jaipur in association with NITTTR- Chandigarh scheduled from 26^th – Feb.24– 01^st -March.24.
- Coordinating & Conducted 05 days Short Term Course (STC) for “AI/ML and Data Science for Industry 4.O (Intermediate Level )” organized by the department of IT at Manipal University Jaipur in association with NITTTR- Chandigarh scheduled from 29^th - Jan24– 02^nd-Feb24.
- Conduct a five-day FDP with hands-on knowledge on AI Evolution: "From Foundations to Generative AI through Tech Saksham Company in Online Mode from 11 Dec 23 to 15 Dec 23.
- Coordinating & Conducting 05 days Short Term Course (STC) for “Open-Source Tools for Research” organized by the department of IT at Manipal University Jaipur in association with NITTTR- Chandigarh scheduled from 15th - 19th May 2023.
- Coordinating & Conducted 05 days Short Term Course (STC) for “IOT Basics” organized by the department of IT at Manipal University Jaipur in association with NITTTR- Chandigarh scheduled from 24th - 28th April 2023.
- Coordinating & Conducted 03 days International Workshop for “1^st International Workshop on Machine Learning and Human Intelligence” organized by the department of IT at Manipal University Jaipur scheduled from 29th – 31th August 2022.
- Conducted 05 days Short Term Course (STC) for “Cyber Threats and Security Measures” organized by the department of IT at Manipal University Jaipur in association with NITTTR- Chandigarh scheduled from 25th - 29th July 2022.
- Coordinating & Conducting 10 days IIT Bombay Workshop for “Cyber Security workshop by IIT Bombay” from 10 Jul to 20 July 2014. Technical Coordinating IIT Bombay two weeks Mechanics Thermodynamics workshops.
Publications:
- Published paper on SCI/Q3 (2024). AI-Powered Image Recognition To Detect And Combat Rice Leaf Diseases. Nanotechnology Perceptions, V(20) No. S11(2024) 613-632. https://doi.org/10.62441/nano-ntp.v20iS11.48
- Published paper on SCI/Q1 (2024). LSCO: Light spectrum chimp optimization-based spinal net for live face detection and recognition. Expert Systems with Applications, 123585. https://doi.org/10.1016/j.eswa.2024.123585
- Published paper on SCI/Q1 “Human crowd behavior analysis based on video segmentation and classification using expectation–maximization with deep learning architectures”. Multimedia Tools and Application, 83(11). https://doi.org/10.1007/s11042-024-18630-0
- Published paper on SCI/Q3 Journal “The VGG16 Method Is a Powerful Tool for Detecting Brain Tumors Using Deep Learning Techniques”. Engineering Proceedings, 59(1), 46. MDPI
- Published paper on Scopus Journal “Reinforcement Based Concrete Modelling in Commercial Buildings Using Machine Learning Simulation” in International Journal of INTELLIGENT SYSTEMS AND APPLICATIONS IN ENGINEERING, Vol. 11(4), Feb- 2023, pp. 118 - 126 Volume 11, Available Online at https://ijisae.org/index.php/IJISAE/article/view/2578.
- Published Paper on SCI Journal “Image Normalization and Weighted Classification using and Efficient Approach for SVM Classifiers,” International Journal of Image and Graphics (World Scientific). Vol.20, Issue no. 4, article No.2050035, the Year 2020.
- Published paper in Scopus Journal “An Efficient Approach for Semantic Image Classification using Normalization Method” in Advanced Trends in Computer Science and Engineering, Vol. 8(4), July- August 2019, pp. 1268 - 1274 Volume 8, No.4, July – August 2019, International Journal of Advanced Trends in Computer Science and Engineering, Available Online at http://www.warse.org/IJATCSE/static/pdf/file/ijatcse37842019.pdf https://doi.org/10.30534/ijatcse/2019/3784201
- Published paper on SCI Journal “A New Way of Grace Assortment using Normalized Feature Value by Support Vector Machine ” in European Journal of Scientific Research, Journal ISSN 1450-216X / 1450-202X Vol. 151 No 2 December 2018, pp. 197-204.
- Published paper in SCI Journal “Prevention and Detection using SVM against Cyber Attack methods” in SPRINGER Cluster Computing, Journal in Dec-2012. ISSN 1867-5662.
- Paper published along with Mtech Scholar student on “An Efficient Signcryption for Multicopy Dynamic Data Security in Cloud Computing” in International Journal of Scientific & Engineering Research Volume 9, Issue 1, January 2018 1804 ISSN 2229-5518. https://www.ijser.org/researchpaper/An-Efficient-Signcryption-for-Multicopy-Dynamic-Data-Security-in-Cloud-Computing.pdf
- Paper published along with Mtech Scholar student on “Secure Online Payment Approach using Postern Algorithm” in IJCA journal, Published at pp.0975-8887 ISSN.NO. Volume https://www.ijcaonline.org/archives/volume167/number14/gupta-2017-ijca-914458.pdf
- Paper published along with Mtech Scholar student on “A birds-eye view on secure banking by using different image based hiding technique encryption and decryption” in, IJEMR Journal, Published at Mar-April- 2017 ISSN NO. 2394-6962. http://www.ijemr.net/DOC/ABirdEyeViewOnSecureBankingByUsingDifferentImageBased HidingTechniqueEncryptionAndDecryption.PDF
- Paper published along with Mtech Scholar student on “Enhanced the Performance of Digital Image Compression Using Wavelet Transform Function and BP Neural Network Model” in, IJCSE Journal at Volume-5, Issue-4, Page no. 29-33, Apr-2017 Online published on Apr 30, 2017. http://www.ijcseonline.org/full_paper_view.php?paper_id=1236
- Paper published along with Mtech Scholar student on “Classification of SQL Injection Attacks Using Support vector machine Classifier” in, IJTRM, August 2015. ISSN No.2348-900. (International Journal) PAPER ID 2015/IJTRM/6/2015/5209
- Published paper on “An Efficient Congestion Control for Wireless Network” in, IJBER Journal and Published at December- 2014 ISSN NO.0975-0479.
- Published paper on “Wormhole Attack Intrusion Detection and Prevention Security Scheme in MANET” in, IJCA Journal, Published at November- 2014. ISSN No. 2156-7964.
- Published paper on “Review:- EN-efficient Approaches for MANETs in Rushing Attacks” in, IJCAM Journal in OCT-2013 Published. ISSN: 1819-4966.
- Published paper on “C-queued technique against Sql-Injection attack” in International Journal of Advanced Research in Computer Science (IJARCS) ISSN 0976 - 5697
- Published paper on “Key-generator based secure system against SQL-injection attack” International Journal of Advanced Research in Computer Science (IJARCS). ISSN 0976 – 5697.
- Published paper on “Cooperative Effective Study of machine learning techniques” in IJCAM, Journal in Jan-2013. ISSN: 1819-4966.
Book Chapters:
- Book Chapter Algorithms and difficulties for autonomous cars based on artificial intelligence, Autonomous Vehicles, 2022, 1, pp. 27–37.
- Book Chapter “5-Generation Security Threats and Responses”: Information Security Practices for the Internet of Things, 5G, and Next-Generation Wireless Networks, published by - IGI Global Year: 2022
- Book Chapter “Quantum Communication is the Next Level of Wireless Network & Security”: Information Security Practices for the Internet of Things, 5G, and Next-Generation Wireless Networks, published by - IGI Global Year: 2022
- Book Chapter "Image Processing for Detection of Criminal Patterns”: Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence, DOI: 10.4018/978-1-6684-3942-5 SBN13: 9781668439425|ISBN10: 1668439425|EISBN13: 9781668439449|ISBN13 Softcover: 9781668439432 published by - IGI Global Year: 2022

Dr. Neelam Arya

Designation: Assistant Professor
Qualification: Ph.D.
Area of Interest: Approximate computing, Energy Efficiency in VLSI Architecture

Phone No: 09926689630
E-Mail:

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Dr. Nandkishor Joshi

Designation: Assistant Professor
Qualification: PhD (IIT, Roorkee)
Area of Interest: Computer Network, Wireless Communication, Artificial Intelligence

E-Mail: nandkishore@mitsgwalior.in

About Faculty: Dr. Nandkishor Joshi is an accomplished academician and researcher, currently serving as an Assistant Professor at Madhav Institute of Technology and Science (MITS), Gwalior, Madhya Pradesh, India. His areas of specialization include Wireless Communication, Cognitive Radio Networks, and Artificial Intelligence. Dr. Joshi earned his Ph.D. from the Indian Institute of Technology Roorkee (IIT Roorkee), where his research was centered on the development of energy harvesting models and optimization of the IEEE 802.11 DCF MAC protocol for cognitive radio networks. Prior to this, he served as a Junior Research Fellow at IIIT Allahabad, contributing to a DST-sponsored research project focused on physical layer security in cooperative cognitive relay networks. He holds a Master of Engineering in Digital Communication and a Bachelor of Engineering in Electronics and Communication Engineering from Ujjain Engineering College (State Government), Ujjain, Madhya Pradesh. Dr. Joshi has published his research extensively in reputed SCI/Scopus-indexed journals and has presented at various national and international conferences. A qualified GATE scholar and recipient of the MHRD research fellowship, he is known for his rigorous and methodical research approach. His academic and research contributions continue to advance the fields of communication systems, with an emphasis on software-defined radios, telecommunication protocols, and embedded network systems.
Education and Qualification:
Academic Qualifications
- Ph.D. in Electronics and Communication Engineering
  Indian Institute of Technology (IIT) Roorkee, India
  January 2019 – February 2024
- Master of Engineering (M.E.) in Digital Communication (with Honours)
  Ujjain Engineering College, Ujjain, Madhya Pradesh (State Government Institution)
  July 2012 – March 2015
- Bachelor of Engineering (B.E.) in Electronics and Communication Engineering (with Honours)
  Ujjain Engineering College, Ujjain, Madhya Pradesh (State Government Institution)
  September 2006 – June 2010
Work Experience:
Assistant Professor
Department of AIDS, Parul Institute of Engineering and Technology (PIET), Parul University, Vadodara, India
March 2024 – March 2025
- Teaching subjects such as Artificial Intelligence and Azure Cloud Fundamentals.
- Guiding postgraduate students in research areas related to AI.
- Serving as Academic Head for B.Tech 3rd Semester and Subject Coordinator for Azure Fundamentals.
Junior Research Fellow
Indian Institute of Information Technology (IIIT), Allahabad, Prayagraj, India
January 2018 – December 2018
- Worked on DST-funded project “Physical Layer Security in Cooperative Cognitive Relay Networks”.
- Utilized Software Defined Radio platforms (C-700 SDR), MATLAB, LabVIEW, and GNU Radio.
Guest Faculty
Bundelkhand Institute of Engineering and Technology (BIET), Jhansi, India
July 2017 – January 2018
- Delivered undergraduate courses in Electronics and Communication Engineering.
Assistant Professor (Contract)
Madhav Institute of Technology and Science (MITS), Gwalior, India
August 2016 – May 2017
- Engaged in teaching and academic activities in the Department of Electronics and Communication.
Guest Faculty
Ujjain Engineering College (UEC), Ujjain, India
July 2015 – June 2016
- Taught core subjects related to digital and communication systems.
Guest Faculty
School of Engineering & Technology (SOET), Vikram University, Ujjain, India
February 2015 – June 2015
- Conducted theory and lab sessions for undergraduate engineering students.
Lecturer
Shriram Engineering College (SRCEM), Gwalior, India
July 2010 – August 2011
- Initiated academic career by teaching undergraduate engineering courses and mentoring students.
Administrative Experience:
- Academic Head, B.Tech 3rd Semester, CSE Department, PIET, Parul University (March 2024- March 2025)
  Oversaw academic planning, course delivery, and coordination among faculty members for smooth semester operations.
- Subject Coordinator, Azure Cloud Fundamentals, PIET, Parul University (March 2024- March 2025)
  Responsible for syllabus implementation, academic delivery, and coordination of assessments related to the subject.
- Departmental Research Committee (DRC) Representative, IIT Roorkee (2020-2021)
  Elected representative contributing to departmental research policies and doctoral program coordination.
- Department Web Management Committee (DWMC) Member, IIT Roorkee (2021-2022)
  Participated in the development and maintenance of the departmental website, ensuring accurate academic and research content.
- Organizing Committee Member, multiple national-level workshops and conferences at MITS Gwalior (2016-2017)
  Involved in event planning, speaker coordination, and logistics for TEQIP-sponsored academic events.
- NSS Camp Leader, Vikram University, Ujjain (2015)
  Led and managed a 7-day National Service Scheme (NSS) rural outreach program involving students and faculty.
Workshop/Conference/Organized/Attended:
- Coordinator, Short Term Course on “MATLAB for Programmers”, organized from 15th July 2024 to 9th August 2024 (26 days), under the joint sponsorship of Parul University and Vigyan Gurjari (Vigyan Bharati).
- Organizing Member, National Conference on Recent Advances in Electronics and Communication Engineering, held at MITS Gwalior on March 4–5, 2017, sponsored by TEQIP-II. Contributed to planning, logistics, and coordination of technical sessions.
- Organizing Member, Workshop on Recent Advances in Microwave Engineering, conducted at MITS Gwalior on September 23–24, 2016, under TEQIP-II. Assisted in both technical and administrative arrangements, including hands-on sessions.
- Organizing Member, National Conference on Recent Trends in Microwave Engineering, organized at MITS Gwalior on September 30 – October 1, 2016, sponsored by TEQIP-II. Involved in speaker coordination and overall event management.
Publications:
Journal Publications
- N. Joshi and S.C. Sharma, “EHWPTCRN – Energy Harvesting Using Wireless Power Transfer for Cognitive Radio Networks with 802.11 (DCF) MAC Protocol,” International Journal of System Assurance Engineering and Management, Springer, vol. 16, pp. 377–391 Dec. 2024.
  (E-SCI/Scopus indexed, IF: 1.7, Q2) – Status: Published
- N. Joshi and S.C. Sharma, “Switching Algorithm in Listen-and-Talk-Based MAC Protocols for Full-Duplex Cognitive Radio Networks with Type 2 Fuzzy Cooperative Spectrum Sensing,” The Journal of Supercomputing, vol. 79, pp. 21235–21264, Jun. 2023.
  (SCI-E indexed, Springer, IF: 3.3, Q2) – Status: Published
- N. Joshi, A. Kumar, D. Minenkov, D. Kaplun, and S.C. Sharma, “Optimized MAC Protocol Using Fuzzy-Based Framework for Cognitive Radio AdHoc Networks,” IEEE Access, vol. 11, pp. 27506–27518, 2023.
  (SCI-E indexed, IEEE, IF: 3.9, Q1) – Status: Published
- N. Joshi and B. Jharia, “Optimal Fuzzy Logic Power Control in Cognitive Radio: A Comparative Study,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), vol. 3, issue 10, pp. 8160–8160, Oct. 2014.
  (UGC Care) – Status: Published
Book Chapter Publications
- N. Joshi, N. Arora, H. Yadav, and S.C. Sharma, “AI-Driven Cognitive Radio Networks for Transforming Industries and Sectors Towards a Smart World,” in Recent Trends in Artificial Intelligence Towards a Smart World – Applications in Industries and Sectors, Springer, July 2024.
  (Scopus-indexed) – Status: Published
- H. Yadav, P. Yadav, N. Joshi, and S.C. Sharma, “Smart Healthcare: Paradigm Shift in Industry 5.0 Using AI,” in Recent Trends in Artificial Intelligence Towards a Smart World – Applications in Industries and Sectors, Springer, July 2024.
  (Scopus-indexed) – Status: Published
- R. Arya, N. Joshi, and A. Panchal, “Performance of Cooperative Relaying Techniques Over Different Fading Channels in Industrial Wireless Sensor Networks,” in Soft Computing: Theories and Applications (SoCTA), Springer AISC, vol. 1053, pp. 1117–1126, Feb. 2020.
- M. Agrawal, N. Joshi, and N. Purohit, “Cooperative Communications Framework for Industrial Applications,” in Advances in VLSI, Communication, and Signal Processing (VCAS), Springer LNEE, vol. 587, pp. 171–179, Dec. 2019.
International Conference Publications
- N. Joshi, P. Yadav, and S.C. Sharma, “IEEE 802.11 DCF MAC Protocol for CR-Enabled WLAN in AdHoc and Infrastructure Modes,” International Conference on Device Intelligence, Computing and Communication Technologies (DICCT), pp. 586–590, Dehradun, India, 2023.
  DOI: 10.1109/DICCT56244.2023.10110255
- P. Yadav, N. Joshi, and S.C. Sharma, “Localization in Precision Agriculture: A Machine Learning Perspective,” International Conference on Device Intelligence, Computing and Communication Technologies (DICCT), pp. 591–596, Dehradun, India, 2023.
  DOI: 10.1109/DICCT56244.2023.10110233
- N. Joshi, S. Yadav, and S.C. Sharma, “Experimental Validation of SISO and Diversity Techniques on MIMO with C-700 SDR Platform,” IEEE Conference on Computing, Power and Communication Technologies (GUCON), pp. 708–712, NCR New Delhi, India, 2019.
- N. Joshi and B. Jharia, “Optimized Fuzzy Power Control Over Fading Channels in Spectrum Sharing Cognitive Radio Using ANFIS,” IEEE Conference on Signal Processing and Integrated Networks (SPIN), pp. 329–333, NCR New Delhi, India, Feb. 2015.

Dr. Neelam Sharma

Designation: Assistant Professor
Qualification: Ph.D.
Area of Interest: Neural Signal Processing, Cognitive Science, Machine Learning, and BCI applications

Phone No:9560588213
E-Mail:

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Dr. Mausam Chouksey

Designation: Assistant Professor
Qualification: Ph.D
Area of Interest: Image Processing, Soft Computing, Deep Learning, Computer Vision
Phone No: 9973041451
E-Mail:

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Dr. Muktesh Gupta

Designation: Assistant Professor
Qualification: Ph.D
Area of Interest: Time Series Analysis (including forecasting, predictive modeling, and classification tasks)
Phone No: 9679700950
E-Mail:

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About Faculty: Dr. Muktesh Gupta is a dedicated academician and accomplished researcher, currently serving as an Assistant Professor at MITS Gwalior. His expertise spans machine learning, signal processing, and time series analysis, with a focus on real-time diagnostics, adaptive modeling, and intelligent systems for a wide range of applications. He has published extensively in reputed SCI and Scopus-indexed journals and has presented his research at numerous IEEE international conferences, contributing to advancements in forecasting, classification, and data-driven modeling techniques. Recognized for his friendly, hardworking, and engaging personality, Dr. Gupta is deeply passionate about research and continually explores emerging technologies to drive meaningful innovation.
Education and Qualification:
Education & Qualifications
- Ph.D. in Computer Science & Engineering
  Maulana Azad National Institute of Technology (MANIT), Bhopal, M.P., India
  (2020 – 2024)
  - Specialization: Real-time change point detection in streaming data
  - Developed a robust methodology integrating adaptive normalization, noise removal, and machine learning
  - Applied research to real-world problems in industrial and healthcare domains
  - Ph.D. Award Date: December 7, 2024
- M.Tech. in Computer Science & Engineering
  National Institute of Technology (NIT), Durgapur, W.B., India
  (2013 – 2015)
  - Ranked second in the program
  - Thesis: Group Key Exchange Management in Delay Tolerant Network
- B.Tech. in Computer Science & Engineering
  Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal, M.P., India
  (2008 – 2012)
  - Graduated with honors
  - Major Project: String Matching Algorithms
Work Experience:
Work Experience

Dr. Muktesh Gupta brings over 6 years of diverse professional experience spanning both academic and industrial roles. He has served as a dedicated educator and researcher, as well as a strategic technical leader in the industry, contributing to innovation, development, and capacity building.
- Assistant Professor
  Department of Computer Science & Engineering, MITS Gwalior
  (Current Position)
  - Engaged in teaching undergraduate and postgraduate courses
  - Supervises student research projects and thesis work
  - Contributes to academic planning, curriculum development, and departmental activities
  - Actively publishes in high-impact journals and presents at international conferences
- Chief Technical Officer (CTO)
  Relu Consultancy, Bhopal, M.P.
  (January 2022 – November 2023)
  - Spearheaded strategic planning, technical vision, and execution of key projects
  - Led R&D efforts in data-driven and AI-powered applications
  - Managed cross-functional teams, talent development, and risk mitigation strategies
  - Oversaw the integration of technology in client solutions with a focus on scalability and innovation
- Assistant Engineer (Information Technology)
  M.P. Poorv Kshetra Vidyut Vitaran Co. Ltd. (MPPKVVCL), Jabalpur, M.P.
  (March 2017 – December 2020)
  - Served as the Billing System In-charge, ensuring operational continuity
  - Supported IT infrastructure, project implementation, and documentation
  - Facilitated knowledge transfer and training for technical teams
  - Assisted in digital transformation and automation efforts within the organization
- Assistant Professor
  University Institute of Technology (UIT), RGPV Bhopal, M.P.
  (July 2015 – February 2017)
  - Delivered lectures and practical sessions in core computer science subjects
  - Involved in institutional service, examination duties, and mentoring students
  - Participated in academic research and knowledge dissemination through conferences
Administrative Experience:
Dr. Muktesh Gupta has actively contributed to academic administration alongside his teaching and research responsibilities. His experience includes managing examination processes, ensuring academic compliance, and contributing to institutional planning and coordination.
- Exam Coordinator
  Maulana Azad National Institute of Technology (MANIT), Bhopal
  - Coordinated end-semester and mid-semester examinations for the Department of Computer Science & Engineering
  - Ensured smooth conduct of exams, invigilation scheduling, and result processing
  - Maintained confidentiality and compliance with institute regulations
- Exam Coordinator
  University Institute of Technology (UIT), RGPV Bhopal
  - Managed internal and university-level examinations
  - Oversaw exam logistics, documentation, and student grievance handling
  - Contributed to the implementation of examination reforms and digitized processes
Research Supervision:
During his Ph.D. at MANIT Bhopal, Dr. Muktesh Gupta actively mentored and supervised several M.Tech. scholars in the Department of Computer Science & Engineering. His supervision focused on applied research in emerging areas of machine learning and data analytics, aligning with his core research domains.

The topics guided under his mentorship include:
- Time Series Forecasting using Transformer-based Architectures
- Heart Disease Classification using ECG Signal Analysis
- Imputation Techniques for Multivariate Time Series Data
- Quantile Regression Techniques for Predictive Modeling
- Change-Point Detection in Streaming Data
- Analysis of Factors Affecting Product Pricing Using Regression Methods
These research projects have contributed to conference publications and practical implementations, reflecting Dr. Gupta’s commitment to cultivating research-oriented thinking among postgraduate students.
Publications:
SCI and Scopus Publications
1. Deep learning-based real-time diagnosis of cardiac diseases through behavioral changes in ECG signals
  Gupta, Muktesh, Rajesh Wadhvani, and Akhtar Rasool.
  Biomedical Signal Processing and Control, 104 (2025): 107532.
2. Comprehensive analysis of change-point dynamics detection in time series data: A review
  Muktesh Gupta, Rajesh Wadhvani, and Akhtar Rasool.
  Expert Systems with Applications, 248 (2024): 1–21.
3. A real-time adaptive model for bearing fault classification and remaining useful life estimation using deep neural network
  Muktesh Gupta, Rajesh Wadhvani, and Akhtar Rasool.
  Knowledge-Based Systems, 259 (2023): 1–22.
4. Real-time change-point detection: A deep neural network-based adaptive approach for detecting changes in multivariate time series data
  Muktesh Gupta, Rajesh Wadhvani, and Akhtar Rasool.
  Expert Systems with Applications, 209 (2022): 1–16.
5. Analyzing feature impacts in wind turbine power output modelling using quantile regression
  Rishita Raj, Rajesh Wadhvani, Akhtar Rasool, and Muktesh Gupta.
  Wind Engineering, 0309524X241270300 (2024): 1–11.
6. Analysis of wind power curve modeling using multi-model regression
  Vivek Kumar Patidar, Rajesh Wadhvani, and Muktesh Gupta.
  Wind Engineering, 48 (2024): 425–435.
7. Adaptive wind data normalization to improve the performance of forecasting models
  Deepali Patil, Rajesh Wadhvani, Sanyam Shukla, and Muktesh Gupta.
  Wind Engineering, 46 (2022): 1606–1617.
Conference Publications
1. Optimizing Time Series Denoising with an Improved Singular Spectrum Analysis Approach
  Muktesh Gupta.
  In IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS), IEEE (2025): 1–6.
2. ECG Based Heart Disease Classification: Advancement and Review of Techniques
  Akshita Gour, Muktesh Gupta, Rajesh Wadhvani, and Sanyam Shukla.
  Procedia Computer Science, 235 (2024): 1634–1648.
3. Comprehensive ECG Signal Analysis for Heart Disease Classification: Integrating Neural Networks with Random Forest
  Akshita Gour, Rajesh Wadhvani, and Muktesh Gupta.
  In 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), IEEE (2024): 1–7.
4. Investigating Mobile Phone Price Variability: A Quantile Regression Study of Hardware Features
  Rishita Raj, Rajesh Wadhvani, Akhtar Rasool, and Muktesh Gupta.
  In IEEE 3rd World Conference on Applied Intelligence and Computing (AIC), IEEE (2024): 735–740.
5. Transformer-Based Multivariate Time Series Forecasting
  Mukesh Kumar, Bharti, Rajesh Wadhvani, Manasi Gyanchandani, and Muktesh Gupta.
  In IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS), IEEE (2024): 1–6.
6. Multivariate Imputation by N Neighbour Mean and Chained Equation for Time Series Missing Data
  Risham Kumar Pansari, Muktesh Gupta, and Rajesh Wadhvani.
  In IEEE 2nd International Conference on Industrial Electronics: Developments & Applications (ICIDeA), IEEE (2023): 13–18.
7. Quantile Regression Comprehensive in Machine Learning: A Review
  Vivek Kumar Patidar, Rajesh Wadhvani, Sanyam Shukla, Muktesh Gupta, and Manasi Gyanchandani.
  In IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS), IEEE (2023): 1–6.
8. A Review on Condition Assessment Methods of Ball Bearing
  Pratik Ashok Chaudhari, Rajesh Wadhvani, Akhtar Rasool, and Muktesh Gupta.
  In Third International Conference on Secure Cyber Computing and Communication (ICSCCC), IEEE (2023): 554–559.
9. A Comprehensive Review of Heart Disease Classification Techniques Utilizing ECG Signal Analysis
  Akshita Gour, Muktesh Gupta, Rajesh Wadhvani, and Sanyam Shukla.
  In International Conference on Electrical, Electronics, Communication and Computers (ELEXCOM), IEEE (2023): 1–6.
10. Quantile Regression in Machine Learning: A Survey
  Anshul Kumar, Rajesh Wadhvani, Akhtar Rasool, and Muktesh Gupta.
  In Third International Conference on Secure Cyber Computing and Communication (ICSCCC), IEEE (2023): 750–755.
11. Quantile Regression Approach in Analysis of Factors Affecting Song Popularity
  Rishita Raj, Rajesh Wadhvani, Akhtar Rasool, and Muktesh Gupta.
  In Third International Conference on Secure Cyber Computing and Communication (ICSCCC), IEEE (2023): 61–66.

Dr. Anurag Singh Tomar

Designation: Assistant Professor
Qualification: Ph.D (ABV-IIITM, Gwalior), M.Tech (ABV-IIITM, Gwalior), B.E. (R.G.P.V. Bhopal)
Area of Interest: Computer Vision, Image Super-Resolution, Deep Learning
E-Mail: anuragsingh@mitsgwalior.in

Education and Qualification:
1. Ph.D. in Computer Science and Engineering from ABV-IIITM Gwalior.

2. M.Tech. in Computer Science and Engineering with a specialization in Information Security from ABV-IIITM Gwalior.

3. B.E. in Computer Science and Engineering from L.N.C.T Bhopal affiliated to R.G.P.V., Bhopal.
Honors, Award & Recognition:
1. Received Fellowship during Ph.D. from Ministry of Education (MoE), GoI.

2. Qualify UGC-NET (Assistant Professor) in Computer Science and Application discipline
with 99.57 percentile in December 2019.

3. Received Fellowship during M.Tech from MHRD (Now MoE), GoI.

4. Qualify GATE 2009 (CSE) with 97.3 percentile.
Publications:
Journals

1. Anurag Singh Tomar, K.V. Arya, and S.S. Rajput, “Learning Face Super-Resolution through Identity Features and Distilling Facial Prior Knowledge”, Expert Systems with Applications, Elsevier, 262 (2025): 125625. [SCI, IF-7.5].

2. Anurag Singh Tomar, K.V. Arya, and S.S. Rajput, “Deep HyFeat Based Attention in Attention Model for Face Super-Resolution”, IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-11, 2023 [SCI, IF-5.6].

3. Anurag Singh Tomar, K.V. Arya, and S.S. Rajput, “Attentive ExFeat based deep generative adversarial network for noise robust face super-resolution”, Pattern Recognition Letters, Elsevier, vol. 169, pp. 58-66, 2023 [SCI, IF-5.1].

4. Anurag Singh Tomar, K.V. Arya, and S.S. Rajput, “Noise robust face super-resolution via learning of spatial attentive features”, Multimedia Tools and Applications, Springer, vol. 82, pp. 25449–25465, 2023 [SCI, IF-3.6].

5. Sumit Kumar, Anurag Singh Tomar, Sandip K Chaurasiya. "Enhanced secure transmission of data in WBAN with predictive model for health care applications", Intelligent Decision Technologies, Volume 13, issue 2,pp 211-218, 2019 [Scopus].

Conferences

1. Ninad Sunil Kalanke, Anurag Singh Tomar, K.V. Arya, Zoila Mercedes Collantes Inga, Ciro Rodriguez, "Face Super Resolution Through Face Semantic and Structural Prior", International Conference on Intelligent Technologies, Springer Nature Singapore, pp. 159 167, 2022.

2. Niketan Mangulley, Anurag Singh Tomar, K.V. Arya, Yuri Pomachagua, Ciro Rodriguez, "Prior Guided Face Super Resolution Using Convolution LSTM", International Conference on Intelligent Technologies, Springer Nature Singapore, pp. 207-215, 2022.

3. Anurag Singh Tomar, Mridula Singh, Girish Sharma, K.V.Arya, “Traffic Management using Logistic Regression with Fuzzy Logic”, International Conference on Computational Intelligence and Data Science (ICCIDS 2018), Published in Procedia Computer Science, Elsevier, vol.132, pp.451-460, 2018.

4. Sumit Kumar, Anurag Singh Tomar, Sandip K. Chaurasiya “Enhanced Secure Transmission of Data in Wireless Body Area Network for Health Care Applications” 3rd International Conference on Next Generation Computing Technologies (NGCT 2017), Communications in Computer and Information Science, vol 828. Springer, Singapore, 2017.

5. Anurag Singh Tomar, Shankar S.K., Sharma M., Bakshi A. "Enhanced Image Based Authentication with Secure Key Exchange Mechanism Using ECC in Cloud", 4th International Symposium on Security in Computing and Communications (SSCC 2016), Published by Springer in Communications in Computer and Information Science Series (CCIS), pp. 63-73, 2016.

6. S. K. Shankar and Anurag Singh Tomar, "A survey on wireless body area network and electronic-healthcare," IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), Bangalore, pp. 598-603, 2016.

7. Shashi Kant Shankar, Anurag Singh Tomar, Gaurav Kumar Tak, "Secure Medical Data Transmission by using ECC with Mutual Authentication in WSNs", 4th International Conference on Eco-friendly Computing and Communication Systems, Published in Procedia Computer Science, Elsevier, vol.70, pp.455-461, 2015.

8. Anurag Singh Tomar, G. K. Tak and R. Chaudhary, "Image based authentication with secure key exchange mechanism in cloud," International Conference on Medical Imaging, m Health and Emerging Communication Systems (MedCom), pp. 428-431, 2014.

9. Mohit Kumar Gokhroo, Jaidhar C.D, Anurag Singh Tomar, "Cryptanalysis of SIP Secure and Efficient Authentication Scheme", IEEE International Conference on Information and Computer Networks, pp. 308-310, 2011.

Book Chapters

1. Anurag Singh Tomar, K.V. Arya, Shyam Singh Rajput, Ciro R Rodriguez, "Comprehensive survey of face super-resolution techniques", Digital Image Enhancement and Reconstruction, Academic Press, Elsevier, pp. 213-233, 2023.

2. Anurag Singh Tomar, Aditya Bakshi, "Intelligent Intrusion Detection System", Intelligent Communication and Automation Systems, CRC Press, pp. 47-64, 2021.

Dr. Satyam Omar

Designation: Assistant Professor
Qualification: PhD
Area of Interest: Digital Signatures, Public Key Cryptography, Post-Quantum Cryptography

E-Mail: satyamomar@mitsgwalior.in

About Faculty: Dr. Satyam Omar is an enthusiastic academician and researcher in Mathematics and Cryptography. He is serving as an Assistant Professor at MITS-DU Gwalior. His primary research area include information security, cryptography, digital signatures, quantum security, etc. He has published various SCI and Scopus-indexed research articles in reputed international journals and conferences.
Education and Qualification:
- Ph.D. in Cryptography (2023)
  - MNNIT Allahabad, Prayagraj
  - The Study of Multivariate Digital Signature
- M.Sc. in Mathematics and Scientific Computing(2018)
  - MNNIT Allahabad, Prayagraj
- B.Sc. in Mathematics (2015)
  - PPNPG College Kanpur (CSJM University)
Work Experience:
- Assistant Professor at MITS-DU, Gwalior (2025 onwards)
- Assistant Professor at Bennett University, Greater Noida (2023-25)
Research Projects, Consultancy & Patents:
Project Title: Design and Analysis of Multivariate Digital Signature as Post-
Quantum candidate in NIST
Funding Agency: NTIHAC Foundation, C3IHUB, IIT Kanpur
Amount: 10 lac
Duration: 3 years
Role: Co-PI
Honors, Award & Recognition:
- Gate Mathematics (AIR-65)
- UGC NET-JRF (AIR 49)
- Gold Medal in M.SC. from MNNIT Allahabad(2018)
- Best Paper Presentation at ICCNSML 2023
- DST INSPIRE Scholarship (2012-2016)
Publications:
- Cryptanalysis of Multivariate Threshold Ring Signature Schemes; Satyam Omar, Sahadeo Padhye, and Dhananjoy Dey; Information Processing Letters, Vol. 181, pp. 106357, Elsevier, 2023.
- Anonymous Proxy Signature Scheme based on Multivariate Polynomials over Finite Field; Satyam Omar, Sahadeo Padhye, and Dhananjoy Dey; Journal of Algebra and Its
  Applications, World Scientific, 2023. https://doi.org/10.1142/S0219498824501561
- Linkable Ring Signature Scheme Based on Multivariate Polynomial over Finite Field Advances in Mathematics of Communication, AIMS, 2025.
- A multivariate convertible undeniable signature scheme, Information and Computation, Elsevier, 2025.
- A Multivariate Convertible Group Signature Scheme, SN Computers, Springer, 2023.
- Multivariate Linkable Group Signature Scheme; Satyam Omar, Sahadeo Padhye;
  Proceedings of International Conference on Computing and Communication Systems,
  LNNS, vol. 170, pp. 623-632, Springer, 2021.
- A New Identity-based Multivariate Signature Scheme; Satyam Omar, Sahadeo Padhye, and Dhananjoy Dey; Proceedings of International Conference on Mathematics and Computing, Advances in Intelligent Systems and Computing, vol. 1412, pp. 79-91, Springer, 2022.
- Multivariate Partially Blind Signature Scheme; Satyam Omar, Sahadeo Padhye, and
  Dhananjoy Dey; Proceedings of Computational Intelligence, LNEE, vol. 968, pp. 143-155,
  Springer, 2023.
- Multivariate Multi and Aggregate Signature Scheme, Accepted in the proceedings of
  International Conference on Cryptology and Network Security with Machine Learning,
  Springer, 2023.

DR. NEERAJ MISHRA

Designation: Assistant Professor
Qualification: PhD
Area of Interest: Robotics, Mechatronics, System Dynamics and Control, Bond Graph Modeling of Physical Systems, Automation, Design and Development of Biomedical Devices

Phone No: 7973245088
E-Mail:

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DR. PRERNA MISHRA

Designation: Assistant Professor
Qualification: PhD
Area of Interest: Computer Vision, Applied Artificial Intelligence, Assistive Technologies, Medical Data Analysis

Phone No: 9730085669
E-Mail:

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Prof. Ramnaresh Sharma

Designation: Assistant Professor
Qualification: M.Tech & PhD Pursuing
Area of Interest: Network security

Phone No: 9754063682
E-Mail:

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Prof. Archana Acharya

Designation: Assistant Professor
Qualification: M.Tech(CSE) , PhD pursuing
Area of Interest: Machine Learning, AI , Computer Network

Phone No: 9522810663
E-Mail:

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Prof. Geetika Hazra

Designation: Assistant Professor
Qualification: M.Tech
Area of Interest: Computer Architecture, Networking, OS

Phone No: 08697953922
E-Mail:

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Prof. Pooja Tripathi

Designation: Assistant Professor

Qualification: M.Tech (Computer Science)
Area of Interest: Soft computing, cyber security, Machine learning

Phone No:
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माधव प्रौद्योगिकी एवं विज्ञान संस्थान, ग्वालियर (म.प्र.), भारत Madhav Institute of Technology & Science, Gwalior (M.P.), INDIA

Deemed University

(Declared under Distinct Category by Ministry of Education, Government of India)

NAAC ACCREDITED WITH A++ GRADE

Deemed to be University

(Declared under Distinct Category by Ministry of Education, Government of India)

NAAC ACCREDITED WITH A++ GRADE

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माधव प्रौद्योगिकी एवं विज्ञान संस्थान, ग्वालियर (म.प्र.), भारत
Madhav Institute of Technology & Science, Gwalior (M.P.), INDIA