Gola Ka Mandir, Gwalior (M.P.) - 474005, INDIA
Ph.: +91-751-2409300, E-mail: vicechancellor@mitsgwalior.in, Website: www.mitsgwalior.in
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 |
|
2 |
M.Tech. |
ABV IIITM Gwalior |
Computer Science Engineering |
2015 |
|
3 |
B.E. |
MITS Gwalior |
Electronics Engineering |
2012 |
|
# |
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, “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
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.
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
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
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
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.
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.
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.
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.
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.
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.
Analysis of wind power curve modeling using multi-model regression
Vivek Kumar Patidar, Rajesh Wadhvani, and Muktesh Gupta.
Wind Engineering, 48 (2024): 425–435.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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
