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