Kishore Balasubramanian

About

Kishore Balasubramanian has 24 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 active as a reviewer in SCI and Scopus indexed journals, conferences and editor in several scientific international journals namely Frontiers in Computational Neuroscience, BMC Trials, Journal of Universal Computer Science etc. He has authored books and book chapters in the field of Analog Electronics, medical diagnosis and has published 50+ 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, IEEE (Society Afficiate), IRED, ISIORT, IAAC, ICICS and IAENG. He is a recognized research Supervisor under Faculty of Information and Communication in Anna University. Presently he is working as a Professor & Head, Department of ECE at Akshaya College of Engineering & Technology, India

Employment

• Akshaya College of Engineering and Technology Professor
  2026 - Present
• Dr Mahalingam College of Engineering and Technology Associate Professor & Associate Dean
  2002 - 2026

Education

• Anna University Ph.D
  2016 - 2020
• Dr Mahalingam College of Engineering and Technology M.E
  2005 - 2007

Projects & Funding

Projects & funding information is unavailable.

Publications (50)

• Communication-Aware Federated Learning for Energy Management in Edge-Cloud Autonomous Systems
  SN Computer Science 2026 DOI: 10.1007/s42979-026-05235-7
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• Unveiling the Invisible: Powering Security Threat Detection in WSN With AI
  Concurrency and Computation: Practice and Experience 2025 DOI: 10.1002/cpe.70049
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• Multivariate technique for the prediction and classification of brain tumor using deep shallow network
  Applied Soft Computing 2024 DOI: 10.1016/j.asoc.2024.111962
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• Classification of white blood cells based on modified U-Net and SVM
  Concurrency and Computation: Practice and Experience 2023 DOI: 10.1002/CPE.7862
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• Modified spider monkey optimization algorithm based feature selection and probabilistic neural network classifier in face recognition
  Expert Systems 2023 DOI: 10.1111/EXSY.13088
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• Accurate Prediction and Classification of Corn Leaf Disease Using Adaptive Moment Estimation Optimizer in Deep Learning Networks
  Journal of Electrical Engineering & Technology 2023 DOI: 10.1007/s42835-022-01205-0
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• A hybrid deep learning for patient activity recognition (PAR): Real time body wearable sensor network from healthcare monitoring system (HMS)
  Journal of Intelligent & Fuzzy Systems 2023 DOI: 10.3233/jifs-212958
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• Optimized adaptive neuro-fuzzy inference system based on hybrid grey wolf-bat algorithm for schizophrenia recognition from EEG signals
  Cognitive Neurodynamics 2023 DOI: 10.1007/s11571-022-09817-y
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• Smart Multi Verification Based Security System
  El-Cezeri Fen ve Mühendislik Dergisi 2023 DOI: 10.31202/ecjse.1099817
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• Correction to: Optimized adaptive neuro-fuzzy inference system based on hybrid grey wolf-bat algorithm for schizophrenia recognition from EEG signals
  Cognitive Neurodynamics 2023 DOI: 10.1007/s11571-022-09833-y
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