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Dr. Bhawani Sankar Panigrahi

Assistant Professor , Department of Computer Science and System Engineering · GITAM University

https://researchid.co/bspanigrahi.cse
@gitam.edu
47Scopus Publications
529Google Scholar Citations
13Google Scholar h-index
15Google Scholar i10-index

Research Interests

Machine learning, Biometrics security systems, IOT, Digital Image processing, Data Mining and Pattern clustering, emotional intelligence

Biography

Dr.Bhawani Sankar Panigrahi, Assistant Professor in department of Computer Science & System Engineering at GITAM School of Computer Science & Engineering, GITAM University, Vishakhapatnam, India. He received his B.Sc. in Computer Science from Berhampur University in 2001 with distinction, M.Sc. Computer Science from University of Madras in 2003, M.Tech. Degree in Computer Science & Engineering from KIIT University Bhubaneswar in 2006 and PhD from Kalinga University, Raipur. He is currently member of different professional society like IEEE Photonics Society, ISTE, IE, CSTA and many more. He is having more than 20 Years of UG and PG teaching experience and has published 4 Indian and 1 International Patents(Granted), and 54 research papers in international and national journals and conferences. His research areas includes Machine learning, Biometrics security systems, IOT, Digital Image processing, Data Minning and Pattern clustering. He Received Education Excellence AWARD by SIMATS Univ

Education

Post Doctorate, Ph.D, Mtech

Recent Scopus Publications

  1. Explainable Artificial Intelligence With Cloud and Blockchain-as-a-Service Model for Consumer Electronics in Connected Healthcare
    IEEE Transactions on Consumer Electronics, 2026
  2. Integrating User Relationships and Features for Intelligence of Social Things Aware Information Diffusion Prediction
    IEEE Transactions on Computational Social Systems, 2026
  3. Corrigendum to “A new method for prediction of Vigna mungo millet disease based on deep learning” (Current Plant Biology, (2025), 44, C, (100562), (S2214662825001306), 10.1016/j.cpb.2025.100562)
    Current Plant Biology, 2026
  4. Innovative edge computing-driven recognition of cardiac monitoring application
    International Journal of Grid and Utility Computing, 2025
  5. Enhancing Financial Forecasting with a Hybrid LSTM-Graph Neural Network Model
    2025 International Conference on Next Generation of Green Information and Emerging Technologies Giet 2025, 2025

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