NILANJAN DAS

About

Nilanjan Das (Member IEEE) received the B.Tech. degree in electrical engineering from NERIST, Itanagar, India, in 2019, and the M.Tech. degree from the Department of Electrical & Electronics Engineering, NIT Sikkim, Sikkim, India, in 2022. He is currently a Ph.D. Research Scholar with the Department of Electrical Engineering of Indian Institute of Technology (Indian School of Mines), Dhanbad, India. His research interests include BLDC and PMSM motor drive controls, machine learning based control techniques, and Next-Gen Electric Traction Drive Systems

Employment

Employment history is unavailable.

Education

• Indian Institute of Technology Dhanbad Ph.D
  2024 - Present
• Sardar Vallabhbhai National Institute of Technology Surat Ph.D
  2022 - 2024
• National Institute of Technology Sikkim M.Tech
  2020 - 2022
• North Eastern Regional Institute of Science and Technology B.Tech
  2015 - 2019

Projects & Funding

Projects & funding information is unavailable.

Publications (13)

• An Electrochemical Single Particle Model-Based State of Charge Estimation Using Orthogonal Collocation Levenberg Marquardt Backpropagation Hybrid Neural Network
  IEEE Transactions on Consumer Electronics 2026 DOI: 10.1109/TCE.2026.3678433
  +Save
• Hierarchical Attention-Enhanced Transformer Framework for Prognostic Degradation Modeling and Capacity Estimation of Lithium-Ion Batteries
  2025 IEEE North-East India International Energy Conversion Conference and Exhibition (NE-IECCE) 2025 DOI: 10.1109/ne-iecce64154.2025.11183019
  +Save
• Ultra-High Gain DC-DC Converter Driven PMSM for Green Energy Application
  2025 IEEE North-East India International Energy Conversion Conference and Exhibition (NE-IECCE) 2025 DOI: 10.1109/ne-iecce64154.2025.11183182
  +Save
• Comparative Performance Analysis of Machine Learning Algorithms for Non-Performing Loan Prediction
  International Conference on Computational, Communication and Information Technology (ICCCIT) 2025 DOI: 10.1109/ICCCIT62592.2025.10928008
  +Save
• Enhanced Integral Sliding Mode Observer Integrating Super-Twisting Algorithm for Precision Control of PMSM in EV Drivetran
  Lecture Notes in Electrical Engineering 2025 DOI: 10.1007/978-981-97-8634-3_46
  +Save
• Optimizing SoC and Parameter Estimation in Li-S Batteries: Extended Kalman Filter Integration with Equivalent Circuit Network Model
  Smart Grid Security and Protection: Proceedings of the International Conference on Sustainable Power and Energy Research, ICSPER. Lecture Notes in Electrical Engineering (1307) 2025 DOI: 10.1007/978-981-96-0824-9_47
  +Save
• Real Time Capacity Estimation For Lithium-Ion Battery Using Deep Transfer Learning
  Ieee Energy Conversion Congress & Exposition Asia, Ecce-asia 2025 DOI: 10.1109/ECCE-ASIA63110.2025.11112195
  +Save
• Enhancing the Dynamic Control of Fast-Charging Strategies Driven by Reinforcement Learning for Li-Ion Battery
  IEEE International Conference on Sustainable Energy and Future Electric Transportation (SeFeT) 2024 DOI: 10.1109/SEFET61574.2024.10717963
  +Save
• Hybrid Sliding Mode Observer-Based Sensorless Speed Control of IPMSM for Widest Speed Range
  Emerging Technologies & Applications in Electrical Engineering 2024 DOI: 10.1201/9781003505181-35
  +Save
• Mitigating Chattering Effect in PMSM Speed Regulation Through Enhanced Fixed Time Convergent Controller
  IEEE International Conference on Sustainable Energy and Future Electric Transportation (SeFeT) 2024 DOI: 10.1109/SEFET61574.2024.10718097
  +Save