0000-0002-5823-8949 About
Sukanta Halder received his Ph.D. in Electrical Engineering from Indian Institute of Technology (IIT) Roorkee, India in 2017. He did his M.Tech with the specialization in Electric Drives and Power Electronics from IIT Roorkee. He did his B.Tech degree in Electrical Engineering from Jalpaiguri Government Engineering College. He is presently an Assistant Professor in the Department of Electrical Engineering at, Indian Institute of Technology (ISM) Dhanbad, Jharkhand, India. He also has served as an Assistant Professor in the Department of Electrical Engineering, Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat India. After Ph.D., in 2017 he joined Rolls-Royce@NTU Corporate Lab, Nanyang Technological University, Singapore as a Post-doctoral fellow. He worked for Rolls-Royce Electrical, Singapore in Nanyang Technological University. He joined Charge Lab, University of Windsor, Ontario, Canada which is one of the renowned EV Lab in North America under Tier 1 Canada Research Chair Professor in Electrified Vehicles. He was involved in developing WBG-based inverter and Intelligent control for EV in collaboration with UofW, Magna International and Concordia University. Sukanta works broadly on Next-generation inverter development, Intelligent ETDS for EV Application. His research interests include WBG (SiC & GaN) inverter development, Gate driver design, Electric Vehicle, PMSM drives, Multi-level inverters, Hydrogen Fuel Cell Based HEV, ADAS in EV, and Data Driven BMS & Machine learning-based motor control.
Employment
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Indian Institute of Technology Dhanbad Assistant Professor (Grade-I)2024 - 2035
Education
Education history is unavailable.
Projects & Funding
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Publications (128)
- An Electrochemical Single Particle Model-Based State of Charge Estimation Using Orthogonal Collocation Levenberg Marquardt Backpropagation Hybrid Neural Network Save
- Comparative Performance Analysis of Machine Learning Algorithms for Non-Performing Loan Prediction Save
- Comprehensive Review of Cybersecurity Vulnerabilities and Safety Concerns in Autonomous Vehicles Save
- Real Time Capacity Estimation For Lithium-Ion Battery Using Deep Transfer Learning Save
- A new 9-level quadruple boost inverter for grid integration Save
- Enhanced High Gain Switched-Capacitor-DC-DC Converter Optimizing Renewable Energy Integration Save
- Enhanced Integral Sliding Mode Observer Integrating Super-Twisting Algorithm for Precision Control of PMSM in EV Drivetran Save
- Enhancing the Dynamic Control of Fast-Charging Strategies Driven by Reinforcement Learning for Li-ion Battery Save
- Hybrid Sliding Mode Observer-Based Sensorless Speed Control of IPMSM for Widest Speed Range Save
- Improved 2$ω$ Power Decoupling in Single-Phase Differential Buck Inverter for Renewable Energy Applications Save