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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 Publications FDP / Workshops Conferences
Bio

Pon Bharathi A is an Assistant Professor (OC) in the Department of Electronics and Communication Engineering at 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

Year : 2025

Paddy Crop Leaf Disease Classification Using Dense Kronecker Network

Cite this Research Publication : S. Veluchamy, Pon Bharathi A, Siva Raja P. M, Shaji D. S, Paddy Crop Leaf Disease Classification Using Dense Kronecker Network, Journal of Phytopathology, Wiley, 2025, https://doi.org/10.1111/jph.70087

Publisher : Wiley

Year : 2024

Optimizing energy-efficient cluster head selection in wireless sensor networks using a binarized spiking neural network and honey badger algorithm

Cite this Research Publication : Allan J Wilson, Kiran W．S, A.S. Radhamani, A. Pon Bharathi, Optimizing energy-efficient cluster head selection in wireless sensor networks using a binarized spiking neural network and honey badger algorithm, Knowledge-Based Systems, Elsevier BV, 2024, https://doi.org/10.1016/j.knosys.2024.112039

Publisher : Elsevier BV

Year : 2023

Chronological golden search optimization-based deep learning for classification of heartbeat using ECG signal

Cite this Research Publication : A Pon Bharathi, P Srinivasan, A S Sarika, D Vedha Vinodha, K.G. Parthiban, Chronological golden search optimization-based deep learning for classification of heartbeat using ECG signal, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Informa UK Limited, 2023, https://doi.org/10.1080/21681163.2023.2228930

Publisher : Informa UK Limited

Year : 2023

DeepDrive: A braking decision making approach using optimized GAN and Deep CNN for advanced driver assistance systems

Cite this Research Publication : Dr.S.Veluchamy, Dr.A.Michael,Mahesh, "DeepDrive: A braking decision making approach using optimized GAN and Deep CNN for advanced driver assistance systems", Engineering Application of Artificial Intelligence” (SCI-E ) Impact Factor: 7.8

Year : 2022

Multimodal Biometric Template Transformation Approach using a List Ranking Algorithm

Cite this Research Publication : Ashoka Rajan R, Pon Bharathi A, Sarika A S, Vedha Vinodha D, Multimodal Biometric Template Transformation Approach using a List Ranking Algorithm, Review of Computer Engineering Research, Conscientia Beam, 2022, https://doi.org/10.18488/76.v9i4.3169

Publisher : Conscientia Beam

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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