Kishore Kumar Venkatesan

About

Kishore Kumar Venkatesan is a PhD student in the department of Electronics and Communication Engineering, SRM Institute of Science and Technology, kattankulathur. He received his bachelor's degree in Electronics and Communication Engineering from Anna University in 2012 and master's degree in VLSI Design from Anna University in 2014, respectively. His current research includes the design and development of surface plasmon resonance (SPR) based Fiber Optic Sensors using Transition Metal Carbides and Nitrides (MXene).

Employment

• Chennai Institute of Technology Assistant Professor
  2020 - 2021
• Apollo Engineering College Assistant Professor
  2015 - 2019

Education

• SRMIST PhD
  2021 - Present
• S K R Engineering College ME
  2012 - 2014
• Prathyusha Institute of Technology and Management BE
  2009 - 2012
• St.Micheals Polytechnic College Diploma
  2006 - 2009

Projects & Funding

Projects & funding information is unavailable.

Publications (15)

• Comprehensive review on 2D nanomaterial-based fiber optic sensor for human breath monitoring application
  Optik 2026 DOI: 10.1016/j.ijleo.2025.172603
  +Save
• A Review on Various Surface Plasmon Resonance-Based Sensors
  Plasmonics 2025 DOI: 10.1007/S11468-025-02837-4
  +Save
• Advanced Epilepsy Severity Analysis and Diagnosis via EEG Signal Classification Using Modified LeNet-CNN
  World Skills Conference on Universal Data Analytics and Sciences 2025 DOI: 10.1109/WORLDSUAS66815.2025.11199086
  +Save
• An Overview of Two-Dimensional Nanomaterial-MXene in Energy Storage and Sensing Application
  Plasmonics 2025 DOI: 10.1007/S11468-025-02809-8
  +Save
• Automated Classification and Diagnosis of Focal and Non-Focal EEG Signals using a Hybrid Classification Approach
  IEEE International Conference on Distributed Computing and Electrical-Electronic Circuits (ICDCECE) 2025 DOI: 10.1109/ICDCECE65353.2025.11035359
  +Save
• Detection of Cancer Type Cells Using Surface Plasmon Resonance Employing Copper, Perovskite, and MXene Layer with Sensitivity Enhancement
  Plasmonics 2025 DOI: 10.1007/s11468-024-02742-2
  +Save
• EEG-Based Detection of Alcoholic Status with Heuristic Classification Techniques
  World Skills Conference on Universal Data Analytics and Sciences 2025 DOI: 10.1109/WORLDSUAS66815.2025.11199112
  +Save
• Optimizing Point of Care Interaction with Speech Recognition to Preserve Learnability and Intelligibility
  IEEE International Conference on Distributed Computing and Electrical-Electronic Circuits (ICDCECE) 2025 DOI: 10.1109/ICDCECE65353.2025.11034855
  +Save
• A Two Dimensional nanomaterial-based fiber optic sensor for Humidity and Gas sensing application In-depth Review
  Physica Scripta 2024 DOI: 10.1088/1402-4896/ad439f
  +Save
• ECG Signal analysis with QRS complex detection for accurate cardiac abnormality diagnosis
  IEEE International Conference on ICT in Business Industry & Government (ICTBIG) 2024 DOI: 10.1109/ICTBIG64922.2024.10911213
  +Save