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Notice dated 22.05.2026 - Payment of Current Semester Fees | Notification Regarding Odd Semester Supplementary Examinations 2025-26 | Application for the Post of Assistant Campus Administrator (Residential) | Application for the Post of Assistant Campus Administrator (Residential) | Notification for the Publication of Post Publication Review (PPR) Results for the Odd Semester Examinations 2025–26

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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
20-05-2026 A Machine Learning Algorithm for EEG Signal-Based Epileptic Seizure Detection Classification International Conference on Communication, Devices and Computing ICCDC 2025 DOI View
20-04-2026 Deep Learning Algorithms Based-EEG Signal Classification for Epileptic Seizure Detection 2026 International Conference on Signal Analysis for Smart Systems (SIGNASS) DOI View
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 25-05-2026
FEEDBACK COMMITTEE 2025-26 01-07-2025 25-05-2026
MENTORING COMMITTEE 2025-26 01-07-2025 25-05-2026

Patents

Title Patent Number Patent Office Date Status Country Application No. Abstract Expiration Date
PROSTATE CANCER DETECTION SYSTEM 202545 intellectual property IndiaThe patent office, Government of India 19-06-2025 Published India 432733-001 This device will detect the prostate cancer using AI 18-06-2027
A SYSTEM AND METHOD FOR THE DEVELOPMENT OF LOW COST LOWNOISE PORTABLE EEG SIGNAL ACQUISITION SYSTEM A61B5/369, A61B5/31 intellectual property IndiaThe patent office, Government of India 27-12-2024 Published India 202431100682 A An electroencephalogram (EEG), is a noninvasive method to record the activity of the brain to treat or detect several brain diseases and disorders. Noise signals as high as μV level, when inserted into the EEG signal, lead to decreases in the common mode rejection ratio, and signal-to-noise ratio. An EEG signal acquisition system (ESAS) is an EEG sensor/electrode, instrumentation amplifier, filtering circuits, analog to digital converters, data acquisition cards, and signal processing algorithms for EEG-based brain disease detection. An efficient ESAS is developed based on the selection of proper low-pass filters, instrumentation amplifiers, bandpass filters, notch filters, and multi-stage amplifiers. The system and methodology of the current invention will involve the development of an economical, low-noise, and portable electroencephalogram (EEG) signal collection system to increase the accessibility and effectiveness of monitoring neurophysiological signals. The device encompasses high-precision signal conditioning and amplification elements, following a noise-resistant analog front end to ensure that brainwave signals are captured with high precision. It performs sophisticated noise suppression techniques, using adaptive filtering and common mode interference in mitigation techniques, to reduce artifacts and ambient noise. Adaptive signal calibration and artifact elimination algorithms are incorporated into the approach to enhance signal reliability and utility. This innovation addresses the major limitations of conventional EEG systems: their extraordinary cost, complexity and signal quality, portability, friendliness, and democratization through massive cost reduction and simplification. Included are cognitive research, medical diagnostics, and neuromonitoring in resource-limited environments. The system is validated in experimental tests to be capable of recording and interpreting EEG data reliably in the presence of perturbations favorable for designing more advanced EEG solutions. This innovation democratizes EEG technology access, improving real-time analysis and application scalability. 27-12-2025
APPARATUS FOR INGESTION OF MOLECULAR HYDROGEN USING ELECTROLYSIS 181711 The patent office, Government of India 01-10-2024 Published India 420048-001 Molecular hydrogen exerts biological effects on nearly all organs. It has anti-oxidative, anti- inflammatory, and anti-aging effects and contributes to the regulation of autophagy and cell death. As the primary organ for gas exchange, the lungs are constantly exposed to various harmful environmental irritants. Short- or long-term exposure to these harmful substances often results in lung injury, causing respiratory and lung diseases. An increasing number of studies have revealed that hydrogen may protect the lungs from diverse diseases, including acute lung injury, chronic obstructive pulmonary disease, asthma, lung cancer, pulmonary arterial hypertension, and pulmonary fibrosis. In light of the above, the design of a composite and portable device is the need of the hour. In this design we have designed a device inside of which there are two electrodes (cathode and anode) kept in a chamber where a constant supply of water is maintained along with the suitable electrolytes. With the help of a controlled voltage/current supply, the electrolysis of water is taken place and the molecular hydrogen is produced and that is filtered and taken out to one chamber. This chamber is connected to cannula through which any person can inhale (i.e. ingestion of molecular hydrogen) the molecular hydrogen and be relaxed from stress/diseases etc. Once the system is switched on , electrolysis is started and the voltage/current level is adjusted through the internal microcontroller based circuit for maintaining the flow /production of molecular hydrogen .The start/stop switch ,voltage /current setting knob and the display of the current/voltage level is very important and incorporated in the design . 01-10-2034

Projects

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