Biswarup Ganguly

About

Biswarup Ganguly (Member, IEEE) received the B. Tech degree in Electrical Engineering from West Bengal University of Technology (Presently known as Maulana Abul Kalam Azad University of Technology) in 2013, M. Tech degree in Intelligent Automation & Robotics from Jadavpur University in 2016, and Ph.D. degree in Electrical Engineering from Jadavpur University in 2022.

Currently, he is working as an Assistant Professor in the Department of Electrical Engineering at NIT Silchar. Before that, he served as an Assistant Professor at Meghnad Saha Institute of Technology, Kolkata, India, and served as the Chapter Advisor of the IEEE Signal Processing Society Student Branch Chapter since 2021.

His research interests include condition monitoring of electrical and biomedical systems and applications of vision-based measurement systems. He has more than 40 publications including 6 IEEE Transactions, and 5 Book Chapters in reputed journals and conference proceedings. Dr. Ganguly was the recipient of the University Gold Medal in 2016 awarded by Jadavpur University, Outstanding Young Researcher Award in 2021 awarded by IEEE Signal Processing Society Kolkata Chapter, and three best paper awards between 2018 and 2023.

Employment

• National Institute Of Technology Silchar Assistant Professor
  2023 - Present
• Jadavpur University Guest Faculty
  2023 - 2023
• Meghnad Saha Institute of Technology Assistant Professor
  2020 - 2023

Education

• Jadavpur University Ph.D.
  2017 - 2022
• Jadavpur University M. Tech
  2013 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (43)

• A residual deep learning framework for sleep apnea diagnosis from single lead electrocardiogram signals: An explainable artificial intelligence approach
  Engineering Applications of Artificial Intelligence 2025 DOI: 10.1016/j.engappai.2025.110481
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• Condition Monitoring of Polymeric Insulators: A Remote Diagnostic Framework With Improved Intermediate Hydrophobicity Grade Detection
  IEEE Transactions on Industry Applications 2025 DOI: 10.1109/TIA.2025.3542723
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• An Attention Deep Learning Framework-Based Drowsiness Detection Model for Intelligent Transportation System
  IEEE Transactions on Intelligent Transportation Systems 2025 DOI: 10.1109/TITS.2025.3544138
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• Recent trends and open challenges in acoustic partial discharge signal denoising techniques: A review
  Electric Power Systems Research 2025 DOI: 10.1016/j.epsr.2025.111931
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• An improved time-frequency representation aided deep learning framework for automated diagnosis of sleep apnea from ECG signals
  Measurement 2024 DOI: 10.1016/j.measurement.2024.116170
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• Wavelet-Based Convolutional Neural Network for Denoising Partial Discharge Signals Extracted via Acoustic Emission Sensors
  IEEE Sensors Letters 2024 DOI: 10.1109/LSENS.2024.3414954
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• Identification and classification of arrhythmic heartbeats from electrocardiogram signals using feature induced optimal extreme gradient boosting algorithm
  Computer Methods in Biomechanics and Biomedical Engineering 2023 DOI: 10.1080/10255842.2023.2265009
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• Multi-Objective Energy Management of a Smart Home in Real Time Environment
  IEEE Transactions on Industry Applications 2023 DOI: 10.1109/TIA.2022.3209170
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• An Attention Deep Learning Framework Based Drowsiness Detection Model for Intelligent Transportation System
  TechRxiv 2022 DOI: 10.36227/techrxiv.21388797
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• Identification and Classification of Human Mental Stress using Physiological Data: A Low-Power Hybrid Approach
  Proceedings of 2022 6th International Conference on Condition Assessment Techniques in Electrical Systems, CATCON 2022 2022 DOI: 10.1109/CATCON56237.2022.10077709
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