About

Dr. Rishi Raj Sharma received M.Tech. Degree from ABV-Indian Institute of Information Technology and Management, Gwalior, India, and a Ph.D. degree from Indian Institute of Technology-Indore, Indore, India. He has worked as an Assistant Professor at Faculty of Engineering and Technology, Raja Balwant Singh College, Agra, India and Military College of Telecommunication Engineering, Mhow, India. He also served as a research scientist at National Brain Research Centre, India. Currently, he has been working as an Assistant Professor at the Defence Institute of Advanced Technology, India. He was in the product development team of Microwave Sterilizer' ATULYA', which neutralize the COVID-19 virus. He is an active reviewer of several journals. He received I.E.T. Science, Measurement & Technology Premium Award-2019 and I.E.T. Science, Measurement & Technology Premium Award-2020.

Education

• Ph. D. (Signal Processing & Machine Intelligence) Indian Institute of Technology-Indore, Indore, India

• M Tech. (Advanced Networks) ABV- Indian Institute of Information Technology and Management, Gwalior (ABV-IIITM-Gwalior), India

• B.Tech. (Electronics and Communication Engineering) U. P. Technical University, Lucknow, India

Professional Experience

• Defence Institute of Advanced Technology, Pune, Assistant Professor July/2019 to present

• Military College of Telecom.Engineering (MCTE), Indore .Assistant Professor Dec 2018 to Jul 2019

• National Brain Research Centre, Gurugram. Research Scientist  Sep 2018 to Nov 2018.

• F.E.T., R. B. S. College, Agra. Assistant professor 2007 to 2012

Professional and Administration Services 

• Member Secretary, Doctoral Research Committee, DIAT.

• NAAC Coordinator, Electronics Engineering Dept, DIAT.

• NIRF Coordinator, Electronics Engineering Dept, DIAT.

• Member Secretary, Postgraduate Program Committee, DIAT.

• Warden (Boys Hostel), DIAT.

Research Domains

• Time-frequency analysis

• AM-FM analysis

• Brain-computer interfacing

• EEG, ECG, EMG,MEG, PPG, and PCG analysis

• Machine learning and artificial intelligence

• Signal estimation and forecasting

• Image analysis

• Automotive radar

• Automated system development

Projects Supervised/ Investigated

• Electroencephalogram based Sleep Stages Detection using Advance Wavelet Techniques, Funding agency: TEQIP Collaborative Research Scheme, Grant: Rs 1442000/=, Role: Co-PI

• Modelling of the ionospheric perturbation due to earthquake using long period VLF and TEC data and atmospheric gravity waves as lithosphere-ionosphere coupling agent, Funding agency: Ministry of Earth Sciences, New Delhi, Role: Co-PI, Status: Approved

• Development of Microwave Sterilizer ‘ATULYA’ to neutralize COVID-19 (2020) 

Research Publications

The list of research publication is provided in the publication page.  [List of Publications ]

Courses Taught

• EE606 Statistical Signal Processing (Spring 2023, Spring 2022, Spring 2021)

• EE607 Detection & Estimation Theory (Spring 2023, Spring 2022, Spring 2021)

• EE602 Digital Signal Processing (Autumn 2022)

• EE603 Wireless & Mobile Communication (Autumn 2022, Autumn 2021)

• EE622 RF IC Design (Autumn 2021)

PhD / M Tech Thesis/Project Supervised

• Dinesh Tilante, Focus measure based automated system for UAV detection, M. Tech., 2021

• Shivam Sharma, Variational mode decomposition based finger flexion detection using ECoG signals, M. Tech.,  2021

Summer/Winter Internships Supervised:

• Dinesh Tilante, Focus measure based automated system for UAV detection, M. Tech., 2021

• Shivam Sharma, Variational mode decomposition based finger flexion detection using ECoG signals, M. Tech.,  2021

Awards/ Achievements

• IETScience, Measurement & Technology Premium Award-2019.

• IET Science, Measurement & Technology Premium Award-2020.

• Best Male Student Paper Award: The second International Conference on the Paradigm shifts in Communication, Embedded Systems, Machine Learning and Signal Processing (PCEMS 2023)  Paper title: "Suppression of False-terms in Wigner-Ville Distribution using Time and Frequency Windowing". 

Review Editor/ Reviewer

• Frontiers in Signal Processing, section: Biomedical Signal Processing (Review Editor)

• Frontiers in Physiology, section: Computational Physiology and Medicine  (Review Editor)

• Frontiers in Signal Processing, Topic: Time-Frequency and Machine Learning Applications for Biomedical Signals (Topic Editor)

•  Frontiers in Physiology, Topic: Experimental Models in Computational Physiology and Medicine: Opportunities and Challenges (Topic Editor)

• IEEE Transactions on Instrumentation and Measurement

• IEEE Transactions on Energy Conversion

• IEEE Geoscience and Remote Sensing Letters

• IEEE Sensors Letters

• Computers in Biology and Medicine  (Elsevier)

• Computer Methods and Programs in Biomedicine (Elsevier)

• Biomedical Signal Processing and Control (Elsevier)

• Circuits, Systems, and Signal Processing (Springer)

• Signal, Image and Video Processing (Springer)

• Journal of Low Frequency Noise, Vibration and Active Control (SAGE Publications)

• Review of Scientific Instruments (AIP Publications)