Sourav Mukhopadhyay
Assistant Professor
Academic Appointment(s)
Administration
Department of Computer & Cyber Sciences
School of Computer and Cyber Sciences
Department of Computer & Cyber Sciences
Bio
Sourav Kumar Mukhopadhyay has been an Assistant Professor in the School of Computer & Cyber Sciences at Â鶹´«Ã½Ó³» since January 2025. Before joining Â鶹´«Ã½Ó³», he worked as a Research Associate and Postdoctoral Fellow at Toronto Metropolitan University and Concordia University in Canada. He earned his Ph.D. in Applied Physics from the University of Calcutta, Kolkata, India, in 2015.
His area of research includes biomedical signal processing, application of machine learning, artificial intelligence and deep learning techniques in monitoring vital signs as well as early diagnosis of physiological anomalies. His long-term professional goal is to continue to extend the boundaries of biomedical signal processing, in association with industries and clinicians, towards creating innovative and applicable solutions for the healthcare industry.
Feel free to connect him to discuss research, possibilities of collaboration, or insights into the future of biomedical engineering and signal processing.
somukhopadhyay@augusta.edu
Education
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Ph.D., Instrumentation Technology/Tec
University of Calcutta, 2015
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MS, Electrical and Electronics Eng
University of Calcutta, 2007
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BS, Electrical and Electronics Eng
University of Calcutta, 2005
Awards & Honors
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Community Member Award
Toronto Police Services Board, Canada, 2024
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Second place award, 3rd IEEE Research Boost poster and demo competition for Graduate Students and Postdoctoral Fellows
Concordia University, Montreal, Quebec, Canada., 2017
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Regroupement stratégique en microsystèmes du Québec (ReSMiQ) scholarship for Postdoctoral research
ReSMiQ, Montréal, Quebec, Canada., 2017
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Best paper award, First Michael Faraday IET India Summit
IET India, Kolkata, India, 2012
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Senior Research Assistantship (SRA) scholarship under TEQIP Phase-II
University of Calcutta, Kolkata, India, 2012
Courses Taught Most Recent Academic Year
Teaching Interests
Biomedical signal processing,
Artificial intelligence, Machine Learning, Deep Learning
Digital electronics,
Analog electronics,
Semiconductor devices
C, MATLAB, Python
Scholarship
Selected Recent Publications
- Quality-guaranteed steganographed-MECG signal compression using adaptive truncation of DCT and SVD coefficients and ASCII encoding, 2025
Journal Article, Academic Journal
- Development of an Atrial Fibrillation Detection Algorithm for ECG Collected with Textile Garment, 2022
Journal Article, Academic Journal
- Robust Identification of the QRS-Complexes in Electrocardiogram Signals Using Ramanujan Filter Bank-Based Periodicity Estimation Technique, 2022
Journal Article, Academic Journal
- Visual Saliency Detection Approach for Long-term ECG Analysis, 2021
Journal Article, Academic Journal
- A Singular Spectrum Analysis-Based Data-Driven Technique for the Removal of Cardiogenic Oscillations in Esophageal Pressure Signals, 2020
Journal Article, Academic Journal
Research Interests
Biomedical signal/image analysis,
Wearables/textile computing
Human and animal activity recognition,
Saliency detection in biosignals and images,
Machine learning and AI
Biometric applications
Professional Service
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Circuits, Systems, and Signal Processing
2022 - Present
Role: Editor, Associate Editor
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IEEE Journal of Biomedical and Health Informatics
2020 - Present
Role: Reviewer
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IEEE Transactions on Network Science and Engineering
2020 - Present
Role: Reviewer
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Scientific Reports
2020 - Present
Role: Reviewer
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Open Access Biostatistics & Bioinformatics
2015 - Present
Role: Editor, Associate Editor
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