DR. PRASHANT KUMAR

About

Dr. Prashant Kumar received his Bachelor of Technology (B.Tech) Degree in Electrical Engineering from Hooghly Engineering and Technology College under West Bengal University of Technology (WBUT), Kolkata, in the year 2013 and his Master of Engineering (M.E) Degree in Instrumentation and Control (I&C) from the Department of Electrical Engineering (EE), National Institute of Technical Teachers' Training & Research (NITTTR), Chandigarh under Panjab University in the year 2016. He has completed his PhD at the Department of Electrical Engineering (EE), National Institute of Technology (NIT), Durgapur, West Bengal, India in Feb, 2024. He worked as an Assistant Professor at Dewan VS Institute of Engineering & Technology, Meerut, India and Quantum University, Roorkee, India. Currently, he is working as an assistant professor at Chandigarh University, Mohali, India. He has more than 25 publications which include journals and conferences. His research interests include Biomedical Signal Processing, Heart Rate Variability, Autonomic Nervous System, Statistical Analysis, Artificial Intelligence etc.

Employment

• Chandigarh University Assistant Professor
  2024 - Present

Education

• National Institute of Technical Teachers Training and Research Master of Engineering
  2014 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (24)

• Impact of Vehicle Mass on the Performance of Electric Vehicles: A Comprehensive Analysis
  2026 DOI: 10.1007/978-981-92-1584-3_14
  +Save
• Analysis of Regenerative Braking and Driving Behaviour on Electric Vehicle Performance
  2026 DOI: 10.1007/978-981-92-1584-3_15
  +Save
• Investigation of Fatigue and Drowsiness of Welders and Goldsmiths Based on Entropies and Complexity Parameters of EOGs: A Statistical Approach
  Journal of The Institution of Engineers (India): Series B 2025 DOI: 10.1007/s40031-024-01107-x
  +Save
• A Statistical Approach for Investigation and Comparison of Fatigue and Drowsiness based on Complexity Parameters of EOGs
  International Journal of Image, Graphics and Signal Processing 2023 DOI: 10.5815/ijigsp.2023.05.04
  +Save
• Statistical Heart Rate Variability of Capacitive Electrocardiogram Signal Using UnoViS Database
  SN Computer Science 2023 DOI: 10.1007/s42979-023-02021-7
  +Save
• Heartbeat Classification Based on Deep Convolutional Neural Network
  2023 International Conference on Networking and Communications (ICNWC) 2023 DOI: 10.1109/icnwc57852.2023.10127341
  +Save
• Complexity Analysis of Ocular Signal for Detection of Human Fatigue Using Small Datasets
  Procedia Computer Science 2023 DOI: 10.1016/j.procs.2023.01.066
  +Save
• Statistical heart rate variability analysis for healthy person: Influence of gender and body posture
  Journal of Electrocardiology 2023 DOI: 10.1016/j.jelectrocard.2023.03.011
  +Save
• Statistical heart rate variability analysis under rest and post-exercise
  International Journal of Computational Science and Engineering 2022 DOI: 10.1504/IJCSE.2022.122207
  +Save
• Statistical heart rate variability analysis under rest and post-exercise
  International Journal of Computational Science and Engineering 2022
  +Save