Qualification: Ph.D.
Area of Interest: Algorithm Design, Digital Forensics, Machine Learning
Phone No:
E-Mail:
Gola Ka Mandir, Gwalior (M.P.) - 474005, INDIA
Ph.: +91-751-2409300, E-mail: vicechancellor@mitsgwalior.in, Website: www.mitsgwalior.in
| 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 |
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.
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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 |
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R. R. Singh and D. S. Tomar, ‘Approaches for user profile investigation in orkut social network’, arXiv preprint arXiv:0912. 1008, 2009. |
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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. |
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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. |
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R. R. Singh and D. S. Tomar, ‘Network forensics: detection and analysis of stealth port scanning attack’, scanning, vol. 4, p. 8, 2015. |
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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. |
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S. Upadhyay and R. R. Singh, ‘A Survey on IDS Alerts Classification Techniques’, International Journal of Computer Applications, vol. 105, no. 12, 2014. |
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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. |
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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. |
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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. |
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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 |
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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 |
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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 |
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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 |
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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 |
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R. R. Singh, ‘Shashikant Upadhyay’, Journal of Network Security & Its Applications (IJNSA), vol. 4, no. 2, 2012. |
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D. Kushwah and R. R. S. Makwana, ‘An Approach to Meta-Alert Generation to Reduce Analyst Workload’. |
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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 |
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V. Shakya and R. R. S. Makwana, ‘A Survey on Intrusion Detection System Based on K-Means and RBF Kernel Function’. |
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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 |
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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. |
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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. |
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R. Ranjan Singh and D. Singh Tomar, ‘Approaches for user profile Investigation in Orkut Social Network’, arXiv e-prints, p. arXiv-0912, 2009. |
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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. |
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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. |
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M. Dandotiya, R. R. Singh, A. S. Dandotiya, and N. Dandotiya, ‘A Deep and Efficient Analysis of DDOS Attack in Software Defined Network’, 2022. |
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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 |
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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. |
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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. |
Postdoctoral Researcher, Lincoln University College, Malaysia (Ongoing)
Doctor of Philosophy (Ph.D.) in Mathematics, Veer Madho Singh Bhandari Government Uttarakhand Technical University, Dehradun
Master of Science (M.Sc.) in Mathematics, Guru Nanak Dev University, Amritsar
Bachelor of Science (B.Sc.) in Physics, Chemistry and Mathematics, Guru Nanak Dev University, Amritsar
Matriculation (ICSE), St. Francis Convent School, Amritsar
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02/2026 (onwards) |
Centre for Artificial Intelligence Madhav Institute of Technology and Science Deemed University. Gwalior, MP, India |
Associate Professor
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01/2024 – 01/2026 |
School of Accounting and Finance. Faculty of Business and Law Taylor’s University Malaysia |
Senior Lecturer I & Stream Coordinator & Academic Integrity officer
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01/2023 – 12/2023 |
School of Accounting and Finance. Faculty of Business and Law Taylor’s University Malaysia
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Senior Lecturer II & Academic Integrity Officer
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11/2021-11/2022 |
Department of AI & ML. JAIN (deemed to be University) Bangalore, Karnataka. India. |
Assistant Professor & PCL Coordinator
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07/2013-11/2021 |
Uttaranchal University Dehradun, Uttarakhand. India. |
Assistant Professor & Coordinator of University Incubation center
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03/2012-05/2013 |
SBS PG Institute of Biomedical Sciences and Research. Dehradun, Uttarakhand. India. |
Assistant Professor & Treasurer of debating society
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08/2007 - 03/2012 |
VMS College Amritsar, Punjab. India.
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Lecturer |
Serving as Adjunct Research Faculty at Lincoln University College, Malaysia since January 2026.
Serving as Adjunct Professor at SBS University, Dehradun, Uttarakhand, India since June 2024
ORGANISER/ COMMITTEE MEMBER
INVITED SPEAKER
KEYNOTE SPEAKER/ SESSION CHAIR
CONFERENCES ATTENDED
doi: 10.1016/j.matpr.2021.01.951. (SCOPUS Indexed, WOS)
(SCOPUS Q4, WOS)
M-Tech Supervision: Deepak Kumar Dakate, 2012.
Title: Performance comparison of symmetric data encryption techniques.
https://drive.google.com/file/d/1kZH0r7EXU8UOuyK1S9BTvGP0-4_MlXOG/view?usp=sharing
Designation: Assistant Professor
Qualification: Ph.D., Delhi Technological University, New Delhi, India
Area of Interest: Computer Vision, Data Science, Deep Learning, NLP
E-Mail:
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.
NPTEL/NTTTR Courses Completed with Elite+Grade(From 2022--)
Subjects Taught (Nov 21- till now):
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:
BE (CSE) LNCT Bhopal, M.tech and PhD in Computer Science & Engineering MANIT, Bhopal, India
TEACHING EXPERIENCE
RESEARCH/INDUSTRY EXPERIENCE
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
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
(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
TEACHING EXPERIENCE (6 Years)
RESEARCH EXPERIENCE( 4 YEARS)
Research Assistant, National Institute of Technology, Raipur [July ’15 -Jan ’19]
International Journals (SCI)
International Conferences:
Honors and Awards
1. “Young Scientist Award” from Council of Science and Technology, Government of M.P for the year 2010-11.
2. Inspirational/Innovative Teacher Award (State-Level Category) for the year 2025. Recognized as one among 40 distinguished teachers selected nationwide. Conferred by Dainik Bhaskar, a leading national newspaper.
Recognition
Grants Received
Expert Lectures/ Invited Talks
Referee/Reviewer
JOURNALS
INTERNATIONAL CONFERENCES
BOOKS/Book Chapters
Ph.D - UIT RGPV Bhopal
M.Tech - (Hons) in 2011 from RGPV University (Silver Medalist)
B.E. - (Hons) in 2009 from RGPV University
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
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
PG Supervision (M.Tech) - 03
UG Supervision (B.E & B.Tech)- 40+
MOOC Development-
Research Projects-
Patents Granted-
Copyrights Granted-
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.
WORKSHOPS/ FDPs/ SEMINARS/Webinars ORGANIZED
WORKSHOPS/ FDPs/ SEMINARS PARTICIPATED
TECHNICAL PAPERS PUBLISHED
BOOKS Published - 02
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
B.E., M.Tech., Ph.D. (Indian Institute of Technology, Roorkee)
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.
No. of PG thesis Guides 25+ in the domain of Machine Learning, Computer Vision, Time series analysis, Deep Learning etc.
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).
|
# |
Degree |
Institute/ Board |
Specialization |
Year |
|
1 |
PhD |
PDPM IIITDM Jabalpur |
Biomedical Signal Processing and Artificial Intelligence |
2023 |
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2 |
M.Tech. |
ABV IIITM Gwalior |
Computer Science Engineering |
2015 |
|
3 |
B.E. |
MITS Gwalior |
Electronics Engineering |
2012 |
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# |
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 |
Patents
Journals
Conferences
Awards & Achievements
Book Publications
Book Chapters:
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.
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.
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.
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
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.
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.
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.
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.
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.
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