SUNIL CHOUDHARY

Assistant Professor

About

Email	sunil.choudhary@bcrec.ac.in
Date of birth	1979-07-30
Date of joining	2014-08-27
Department	Electrical Engineering
Address	Q/No.-105, C. R. Das Avenue (A-Zone) P.O.- Durgapur-04 Dist.- Paschim Burdwan (W.B.) Pin-713204
Vidwan ID	193402
About Me	Sunil Kumar Choudhary obtained his B.E. and M.Tech. Qualifications in electrical engineering from Burdwan University and NIT Durgapur, West Bengal, India, in 2004 and 2007, respectively. Currently, I am enrolled in a Ph.D. program in electrical engineering at NIT Durgapur, located in West Bengal, India. I now hold the position of Assistant Professor in the Department of Electrical and Engineering at BCREC, Durgapur. I possess a wealth of expertise in this domain, accumulated over a span of 17 years of teaching. I am interested in researching biomedical instrumentation, power system optimization, and electric vehicle drives.
Specialization / Research Interest	Biomedical Instrumentation; Power System Optimization; Electric Vehicle; Induction motor Drives

Qualifications

Educational Qualifications

B.E.
Burdwan University - 2004
M.TECH
NIT DURGAPUR - 2007

Teaching and R & D experience

Teaching	Research	Industry
18	0	0

Teaching Experience-17

1) BCET, Durgapur-4

2) NFET, Durgapur-2

3) SVIST, Kolkata-1

4) BCREC, Durgapur-11

a) Electrical Circuit Theory

b) Electrical Machine-I & II

c) Power Electronics

d) Power System-I & II

e) HVDC Transmission

f) Field Theory

Biomedical Instrumentation; Power System Optimization; Electric Vehicle; Induction motor Drives

Activities

Publications

Journal

Date	Title	Journal	DOI	Link
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
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
01-03-2020	A Low-Cost Electroencephalography (EEG) Instrumentation for Epileptic Seizure Detection	International Conference on Multifunctional Materials (ICMM-2019)	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
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
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
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
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
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
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
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

Book Chapters

Date	Title	Book Title	Editor	ISBN	DOI	Link
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

Thesis Supervised

Patent

Patents

Date	Title	Patent No.	Country
01-10-2024	APPARATUS FOR INGESTION OF MOLECULAR HYDROGEN USING ELECTROLYSIS	181711	India
27-12-2024	A SYSTEM AND METHOD FOR THE DEVELOPMENT OF LOW COST LOWNOISE PORTABLE EEG SIGNAL ACQUISITION SYSTEM	A61B5/369, A61B5/31	India

Highlights

Faculty-Details