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SRI SUNIL KUMAR CHOUDHARY

ASSISTANT PROFESSOR

About

27-08-2014

EE

193402

A+

HINDUISM

1-7399258621

17-07-2006

Qualifications

Educational Qualifications
  • MASTER OF TECHNOLOGY
  • NATIONAL INSTITUTE OF THECHNOLOGY DURGAPUR - 2007
  • BACHELOR OF ENGINEEING
  • ASANSOL ENGINEERING COLLEGE - 2004
  • HIGHER SECONDARY
  • BIDHAN CHANDRA INSTITUTE DURGAPUR - 1998
  • MADHAYAMIK
  • JOY DEV BOYS HIGH SCHOOL - 1996
Teaching and R & D experience
Teaching Research Industry
220 60 12

Promotions

Publications

Journal
Date Title Journal DOI Link
24-03-2026 CRISCROSS OPTIMIZATION (CCO)-BASED OPTIMAL DISPATCH STARTEGY FOR INTEGRATED HYDRO-THERMAL-WIND SCHEDULING FACTA UNIVERSITATIS Series: Electronics and Energetics DOI View
06-11-2024 A systematic review of deep learning algorithms utilising electroencephalography signals for epileptic seizure detection International Journal of Biomedical Engineering and Technology, Inderscience DOI View
30-08-2024 Modelling and simulation of electroencephalography instrumentation to study the epileptic seizure: a noise analysis approach International Journal of Biomedical Engineering and Technology, Inderscience DOI View
Conference
Date Title Conference DOI Link
18-11-2025 Advanced Design and Performance Evaluation of Inductive Contactless Power Transfer Systems for Electric Vehicles 2025 2nd International Conference on Circuits, Power, and Intelligent Systems (CCPIS 2025) DOI View
18-11-2025 Hybrid Grey Wolf Optimization-Based Hydro- Thermal Scheduling Integrating Wind and Solar Energy Resources 2025 2nd International Conference on Circuits, Power, and Intelligent Systems (CCPIS 2025) DOI View
18-11-2025 Development and Validation of an Artificial Intelligence Classifier for Predicting Diabetes Risk in Pre-Diabetic Patients 2nd International Conference on Circuits, Power, and Intelligent Systems CCPIS 2025 DOI View
22-04-2025 Performance Analysis of the Battery Management System in an Electric Vehicle 2025 3rd IEEE International Conference on Industrial Electronics: Developments & Applications (ICIDeA) DOI View
20-04-2025 Improving Epileptic Seizure Detection with Deep Learning: A Highly Efficient Approach International Conference on Computational Intelligence And Smart Technologies In Electrical Engineering (CISTEE 2023) DOI View
17-04-2025 Analysis and Design of A Third-Order Sallen-Key and Multiple Feedback Low Pass Filter for EEG Signal Acquisition System International Conference on Power, Control and Computing Technologies (ICPC2T) DOI View
13-01-2025 Design and Analysis of Low-Noise Instrumentation Amplifier for Biomedical Signal Acquisition Systems 4th International Conference on Computer, Communication, Control and Information Technology ( C3IT ), 2024 DOI View
10-01-2025 LLC Resonant Converter Design for Fast Charging of Electric Vehicles International Conference on Signal Processing and Advance Research in Computing (SPARC-2024) DOI View
24-10-2024 A Fuzzy Based Improved Efficiency Optimization Technique for V/f Controlled Induction Motor Drive Considering Core Losses 2024 IEEE 4th International Conference on Sustainable Energy and Future Electric Transportation (SEFET) DOI View
14-05-2021 Modified particle swarm optimization (MPSO)-based short-term hydro–thermal–wind generation scheduling considering uncertainty of wind energy Innovations in Sustainable Energy and Technology: Proceedings of ISET 2020 DOI View
05-09-2020 Elephant Herding Optimization (EHO) Based Parameters Estimation of Induction Machine Considering the Nonlinear Core-Loss Model 2020 IEEE 1st International Conference for Convergence in Engineering (ICCE) DOI View
01-03-2020 A Low-Cost Electroencephalography (EEG) Instrumentation for Epileptic Seizure Detection  International Conference on Multifunctional Materials (ICMM-2019) DOI View
29-12-2015 An accurate electrical parameters optimization of three phase induction machine considering core loss resistance Michael Faraday IET International Summit 2015 DOI View
Book Chapters
Date Title Book Title Editor ISBN DOI Link
02-07-2025 Impact of Large Language Models (LLMs) and Artificial Intelligence (AI) on Renewable and Sustainable Energy Large Language Models for Sustainable Urban Development Nitin Liladhar Rane, Suraj Kumar Mallick, Jayesh Rane, Chaitanya Baliram Pande 978-3-031-86038-6 DOI View
18-10-2024 Utilization of computer vision and machine learning for solar power prediction Computer Vision and Machine Intelligence for Renewable Energy Systems Ashutosh Kumar Dubey, Abhishek Kumar, Umesh Chandra Pati, Fausto Pedro Garcia Marquez, Vicente García-Díaz, Arun Lal Srivastav ISBN: 9780443289477 DOI View

Participations

Committee Name Start Date End Date
DISCIPLINARY COMMITTEE 2025-26 01-07-2025 23-04-2026
FEEDBACK COMMITTEE 2025-26 01-07-2025 23-04-2026
MENTORING COMMITTEE 2025-26 01-07-2025 23-04-2026

Projects

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