R. Kishore Kanna

About

Dr. R. Kishore Kanna is Research-oriented Associate Professor of Biomedical Engineering with 8+ years of academic, research, and clinical engineering experience spanning AI-driven healthcare, EEG signal processing, brain-computer interfaces, neurofeedback, medical image analysis, IoMT and wearable health technologies. Recognized in the Stanford/Elsevier Top 2% Scientists list (2025) in Information & Communication Technologies, subfield Artificial Intelligence & Image Processing.

Employment

• Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Research Faculty (Biomedical Engineering) / Veltech Research Park
  2024 - Present
• Jerusalem College of Engineering, Chennai, India Assistant Professor
  2023 - 2024
• Vels Institute of Science Technology & Advanced Studies School of Engineering Assistant Professor
  2022 - 2023
• Search Results Web results Bharath Institute of Higher Education and Research: BIHER Assistant professor /Biomedical
  2018 - 2022

Education

• Bharath Institute of Higher Education and Research: BIHER Ph.D /Biomedical engineering
  2018 - 2022

Projects & Funding

Projects & funding information is unavailable.

Publications (147)

• Adaptive Komodo Mlipir–Optimized Spatiotemporal Graph Neural Network for Dataset-Specific Physiological-State Classification
  International Research Journal of Multidisciplinary Technovation 2026 DOI: 10.54392/irjmt2651
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• Multimodal Neuroimaging Fusion using 3D Residual Networks and Vision Transformers for Parkinson’s Disease Detection
  International Research Journal of Multidisciplinary Technovation 2026 DOI: 10.54392/irjmt26323
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• A Hybrid-CNN Framework for Accurate Early Detection of Diabetic Retinopathy
  2026 DOI: 10.1007/978-981-96-4933-4_34
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• Brain–Computer Interface Application for Speech Decoding Approach Using EEG Signals
  2026 DOI: 10.1007/978-981-96-4933-4_11
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• CNN driven detection of fetal brain defects approach
  Aip Conference Proceedings 2026 DOI: 10.1063/5.0330081
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• CNN driven for prediction of diabetic retinopathy application
  Aip Conference Proceedings 2026 DOI: 10.1063/5.0330083
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• Computational Cognitive Activation Function Using fMRI Application
  2026 DOI: 10.1007/978-981-96-4933-4_59
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• Innovative Hybrid CNN-Transformer Deep Learning Models For The Automated Diagnosis Of Monkeypox From Medical Images
  Journal of Visualized Experiments 2026 DOI: 10.3791/70533
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• ML driven cardiac disease detection in healthcare application
  Aip Conference Proceedings 2026 DOI: 10.1063/5.0330132
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• Machine learning driven approach for alzheimer detection in healthcare application
  Aip Conference Proceedings 2026 DOI: 10.1063/5.0330082
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