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Pon Bharathi A.

Assistant Professor (OC), Electronics and Communication Engineering, School of Engineering, Nagercoil.

Qualification: M.E., MBA, Ph.D(Pursuing )
a_ponbharathi@nc.amrita.edu
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Research Interest: Deep Learning, Microstrip Antenna Design, Bio-Medical Signal Processing, Biosensors, Optimization

Bio

Pon Bharathi A is an Assistant Professor(OC) in the Department of Electronics and Communication Engineering at Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Nagercoil. He received his Bachelor of Engineering (B.E.) degree in Electronics and Communication Engineering from Coimbatore Institute of Engineering and Technology, Coimbatore, in 2013, and his Master of Engineering (M.E.) degree in Communication Systems from Anna University, Chennai, in 2015. He is currently pursuing the Ph.D. degree in Electronics and Communication Engineering at Anna University, Chennai. With more than 10 years of teaching and research experience, his research interests include biomedical signal processing, biosensors, biometric image processing, machine learning for healthcare applications, and microstrip antenna design.

Publications

Journal Article

Year : 2025

Hybrid BaTiO₃-MXene-graphene metasurface biosensor for ultra-sensitive terahertz detection of waterborne bacterial pathogens

Cite this Research Publication : Prathamesh Prabhu, A. Pon Bharathi, U. Arun Kumar, William Ochen, Hybrid BaTiO₃-MXene-graphene metasurface biosensor for ultra-sensitive terahertz detection of waterborne bacterial pathogens, Sensing and Bio-Sensing Research, Elsevier BV, 2025, https://doi.org/10.1016/j.sbsr.2025.100898

Publisher : Elsevier BV

Year : 2025

Optimized deep residual networks for early detection of myocardial infarction from ECG signals

Cite this Research Publication : Pon Bharathi A, Madavan R, Sakthivel E, Optimized deep residual networks for early detection of myocardial infarction from ECG signals, BMC Cardiovascular Disorders, Springer Science and Business Media LLC, 2025, https://doi.org/10.1186/s12872-025-04739-z

Publisher : Springer Science and Business Media LLC

FDP / Workshops
  • Attended a Five-Day Faculty Development Program on “RF and Antenna Engineering using Ansys” from 24-03-2026 to 28-03-2026 at the Department of Electronics and Communication Engineering, Amrita School of Engineering,Amritapuri, organized by the Communication, Signal Processing and AI Research Tag.
  • Attended a Five-Day National Level Faculty Development Program on “Research, Innovation and Industrial Practices” from 24-12-2025 to 28-12-2025 at Study World College of Engineering, Coimbatore, organized by the Department of Mechanical Engineering.
  • Attended a Five-Day International Faculty Development Program on “IoT for Teaching, Research and Innovation for Sustainable Development” from 05-01-2026 to 09-01-2026 at Study World College of Engineering, Coimbatore, organized by the Department of Electronics and Communication Engineering in association with IEEE Student Branch, IIC, IETE ISF Forum, and Fun Electronics Association.
  • Attended a Six-Day AICTE Training and Learning (ATAL) Academy Faculty Development Program on “Challenges and Opportunities for Satellite Navigation Systems” from 18-12-2023 to 23-12-2023 at Study World College of Engineering, Coimbatore, organized by the AICTE Training and Learning (ATAL) Academy, AllIndia Council for Technical Education (AICTE), New Delhi.
  • Attended a Five-Day Virtual Faculty Development Program on “5G Networks and Beyond” from 22-08-2023 to 26-08-2023 at JCT College of Engineering and Technology, Coimbatore, organized by the Department of Electronics and Communication Engineering.
  • Attended a Five-Day Virtual Faculty Development Program on “Recent Trends and Challenges in Power Generation and Power Quality Improvement Techniques” from 17-07-2023 to 21-07-2023 at JCT College of Engineering and Technology, Coimbatore, organized by the Department of Electrical and Electronics Engineering.
Conferences
  • Bharathi, A. P., Kumar, S. M., Sarika, A. S., & Nandhakumar, A. (2025, March). Compressed video enhancement using an attention and adaptation based network. In AIP Conference Proceedings (Vol. 3137, No. 1, p. 020024). AIP Publishing LLC.
  • PM, S. R., Nandhakumar, A., & Anandaram, H. (2024, August). Machine Learning for Myocardial Infarction Prediction Using Radial Basis Function and Genetic Algorithms. In 2024 Second International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI) (pp. 1189-1193). IEEE.
  • Thambi, P. B. A., Ramalingam, L., Suresh, A., & Sebastian, R. (2024, June). Utilizing deep learning algorithms for fruit ripening stage classification. In AIP Conference Proceedings (Vol. 3112, No. 1, p. 020002). AIP Publishing LLC.
  • Anandaram, H., Parthasarathy, P., RAJESH, K., & Arunkumar, U. (2023, November). Dopamine Neurotransmitters Detection: A Study on Electrochemical Methods using Quantum Dots. In 2023 International Conference on Sustainable Communication Networks and Application (ICSCNA) (pp. 659-665). IEEE.
  • Wilson, A. J., Bharathi, A. P., Anoop, M., & Malar, J. A. J. (2023, April). Information system for flood monitoring based on IoT and AI. In 2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN) (pp. 1-4). IEEE.
  • Swathi, S., Chakaravarthy, S. P., Wilson, A. J., & Bharathi, A. P. (2022, December). An Effective Addressal of Traffic using Tensor Flow. In 2022 International Conference on Computer, Power and Communications (ICCPC) (pp. 318-329). IEEE.
  • NV, R. K., Anjana, S., & Wilson, A. J. (2022, December). Cluster Head Selection using the OA-PU Algorithm in the IoT. In 2022 Smart Technologies, Communication and Robotics (STCR) (pp. 1-5). IEEE.
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