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Kishore Balasubramanian

Professor, ECE · Akshaya College of Engineering and Technology

https://researchid.co/bk_7in
@acetcbe.edu.in
39Scopus Publications
794Google Scholar Citations
15Google Scholar h-index
21Google Scholar i10-index

Research Interests

Medical Image Processing, Soft Computing, Neural Networks, Biomedical Engineering.

Biography

Kishore Balasubramanian has more than 23 years of academic experience in imparting Engineering Education. He had his Bachelor’s Degree in Electronics & Instrumentation from Bharathiar University, India, Master’s Degree in Applied Electronics from Anna University, India and Ph.D (Information and Communication Engineering) from Anna University, India. His research interests include Medical Image Processing and Computer Vision. He is an active as a reviewer in many SCI and Scopus indexed journals, conferences and editor in several scientific international journals. He has authored three books in the field of Analog Electronics and has published papers in international and national journals. He has received grants from CSIR, DRDO (Government Funding agencies) for conducting Faculty Development Programmes, Workshops and Conferences. He is a member of ISTE, IRED and IAENG.

Recent Scopus Publications

  1. Quantum-enhanced data fusion framework for early detection and intervention of goodpasture syndrome (GPS)
    International Journal of Information Technology Singapore, 2026
  2. Unveiling the Invisible: Powering Security Threat Detection in WSN With AI
    Concurrency and Computation Practice and Experience, 2025
  3. Real Time Implementation of GHNN-PI Based ACM Controlled Self-Tuning FS-SNIBB Converter
    Journal of Electrical Engineering and Technology, 2025
  4. Exploring Deep Learning Methods for Accurate Bridge Crack Detection: A Comparative Study
    2025 3rd International Conference on Advancements in Electrical Electronics Communication Computing and Automation Icaeca 2025, 2025
  5. Multivariate technique for the prediction and classification of brain tumor using deep shallow network
    Applied Soft Computing, 2024

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