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PABITRA KUMAR BISWAS

Associate Professor and EEE · NIT MIZORAM

https://researchid.co/pabitra.eee
@nitmz.ac.in
122Scopus Publications
1574Google Scholar Citations
23Google Scholar h-index
50Google Scholar i10-index

Research Interests

lectromagnetic Levitation system, Active magnetic bearing, Power Electronics converters , Vector control and sensor less control of Induction motor,PMSM and BLDC motor Drives,Renewable energy system and E-Vehicles

Biography

Pabitra Kumar Biswas completed his B.Tech from WBUT, India. He received his ME. Degree 2007 from IIEST, West Bengal and PhD. Degree in Electrical Engineering on 2013 from NIT, Durgapur. He is presently working as an Associate Professor in Electrical and Electronics Engineering in NIT, Mizoram. He is also Associate Dean (R&C). He has published a numbers of research papers in National/International Conference and Records/Journals. He has a book and more than 6 book chapters and filed three patents. He has completed one DST-SERB project. He has about 15 years of academic as well as research experience. He has guided 7 Ph.D students and more than 10 M.Tech students and Ten more are pursuing their research at present. He has reviewed papers in reputed International Conference and Journals. His research interests include Electromagnetic Levitation System, Active Magnetic Bearing, Power electronics Converters, PMSM and BLDC Motor Drives, Electric Vehicles and Renewable energy.

Recent Scopus Publications

  1. Genetic Algorithm-Based PID Tuning and Time-of-Use Tariff-Based Control for Bidirectional Operation and Cost Optimization of EV Bidirectional Charging
    Energy Storage, 2026
  2. Sensitivity and performance analysis of the impact on change in controller and system parameters of active magnetic bearing
    Mechanics Based Design of Structures and Machines, 2026
  3. Pelagic fusion algorithm empowered turbo-flux motornet for enhanced dynamic performance of sensorless BLDC motors
    Engineering Research Express, 2026
  4. Optimised energy management strategy for fuel cell hybrid electric vehicles using a machine learning framework
    International Journal of Mathematical Modelling and Numerical Optimisation, 2026
  5. Dynamic Performance of Bidirectional EVSE for IoT-Based Monitoring and Cost Estimation for Reducing Grid Stress
    IEEE Access, 2026

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