माधव प्रौद्योगिकी एवं विज्ञान संस्थान, ग्वालियर (म.प्र.), भारत

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

माधव प्रौद्योगिकी एवं विज्ञान संस्थान, ग्वालियर (म.प्र.), भारत

Deemed to be University

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

NAAC ACCREDITED WITH A++ GRADE

Gola Ka Mandir, Gwalior (M.P.) - 474005, INDIA
Ph.: +91-751-2409300, E-mail: vicechancellor@mitsgwalior.in, Website: www.mitsgwalior.in

Centre for Artificial Intelligence

  2. Academics
  3. Departments
  4. Centre for Artificial Intelligence
  5. Departments
  6. Centre for Artificial Intelligence
  7. Faculty - Centre for Artificial Intelligence

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: This email address is being protected from spambots. You need JavaScript enabled to view it.
  • 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. 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:  This email address is being protected from spambots. You need JavaScript enabled to view it.
  • 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:  This email address is being protected from spambots. You need JavaScript enabled to view it.
  • 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. RAJNI RANJAN SINGH MAKWANA

Designation: Associate Professor 
Qualification: Ph.D.
Area of Interest: Algorithm Design, Digital Forensics, Machine Learning
E-Mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
 
  • 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 HoD “Centre for Artificial Intelligence” at MITS Gwalior [e.f. 7th July 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, 10th 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, 10th 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, 10th 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 “30th 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, 14th 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. 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 05 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
    • Pattern Recognition
    • Neurocomputing
    • Applied Soft Computing
    • Engg. applications of artificial intelligence
      • 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 

    (16) Bhagat Singh Raghuwanshi, “Universum graph-embedded kernel-based weighted extreme learning machine for handling class imbalance ”Expert Systems with Applications,  vol. 310,  pp. 131243, Jan. 2026 (I.F. 7.80)   https://doi.org/10.1016/j.eswa.2026.131243

     
    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, vol. 48, issue 2, pp. 185-204, 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

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