Dr.P.Ramesh

Assistant Professor

SoC- Cyber Security

7708197090

ramesh.p@ist.srmtrichy.edu.in rameshp3@srmist.edu.in

Total Experience 

Area of intErest

Data Mining , Data Science, Web Programming

20 Years 7 Months

course handled

Artificial Intelligence

Machine Learning

Object Oriented Analysis And Design

Programming in C , C++, JAVA, Python

Big Data and Analytics

Data warehousing And Data Mining

Cloud Computing

Design Analysis and Algorithm

Operating System

Computer Architecture

Software Engineering

Data Science

Problem Solving and python programming

Advanced Data Base

Web and Mobile Application Development


Education Details

  • Publication details

    • Medikonda Swapna; Ganesh Gopal Devarajan; Ramesh P.; Thangam S.; Nazik Alturki “Human-Centered Explainable Multimodal AI for Personalized Healthcare Diagnosis in Aging Populations” IEEE Transactions on Computational Social
    • Systems Publisher: IEEE DOI: 10.1109/TCSS.2025.3623200
    • Ramesh, P., Jeba Emilyn, J., Vijayakumar, V.“Hybrid Artificial Neural Networks Using Customer Churn Prediction.” Wireless Personal Communications, Vol. 124, Issue 2, 2022. DOI: 10.1007/s11277-021-09427-7
    • Kumar, S., Bhat, W. A., Khan, M. S., Ramesh, P.“Optimization of Neural Networks Using Mathematical Algorithms: An LSTM-Based Machine Learning Approach to Lung Cancer Diagnosis.”Advances in Nonlinear Variational Inequalities, Vol. 28, Issue 2, 2025.DOI: 10.52783/anvi.v28.2052
    • Cyril, B. Rex, Ramesh, P., Anjankumar, M., et al.“Big Data Analytics in IoT Ecosystems.”Proceedings of the 1st International Conference on Frontier Technologies and Solutions (ICFTS 2025), IEEE, 2025.DOI: 10.1109/ICFTS62006.2025.11031548
    • Ramesh, P., Nithyanandhan, R., Faizal, M. K. Mohamed, et al.“Machine Learning Strategies for Customer Churn Prediction in Competitive Enterprises.”
    • 5th International Conference on Sustainable Communication Networks and Application (ICSCNA 2024), IEEE, 2024.DOI: 10.1109/ICSCNA63714.2024.10864143 Vii, Suman, Rede, G. D., Ramesh, P., et al.
    • “Optimizing E-Commerce Fraud Detection with BiGRU and Capsule Network Architectures.” 2nd IEEE International Conference on Data Science and Network Security (ICDSNS 2024), IEEE, 2024.DOI: 10.1109/ICDSNS62112.2024.10691229
    • Gandhi, M. A., Surya, S. G., Oyebode, O. J., Ramesh, P.“Prediction of Injuries and Fatalities in Aircraft Accidents through Ensemble Hybrid C-SEResNet Approach.”3rd International Conference on Data Science and Information System (ICDSIS 2025), IEEE, 2025.DOI: 10.1109/ICDSIS65355.2025.11070436


    Ramesh, P., Saranya, N., Shantha Shalini, K., et al. “Quantum Cryptography in Secure IoT Communications.” Proceedings of the 1st International Conference on Frontier Technologies and Solutions (ICFTS 2025), IEEE, 2025. DOI: 10.1109/ICFTS62006.2025.11031513

    Tumuluru, P., Srinivas, P. V. V. S., Devabhaktuni, R. B., Ramesh, P., et al. “Detection of COVID Disease from CT Scan Images using CNN Model.” 2nd International Conference on Artificial Intelligence and Smart Energy (ICAIS 2022), IEEE, 2022.DOI: 10.1109/ICAIS53314.2022.9742758

    Ramesh, P., Bhargavi, V. S., Shiney, S. A., et al.“Exploring the Transformative Impact of Machine Learning in Healthcare: Applications, Challenges, and Future Directions.” 2nd International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS 2024), IEEE, 2024. DOI: 10.1109/ICSSAS64001.2024.10760513


    Patents:

    3 Filed

    Patent entitled as “IoT Driven Deep learning technique for bio-metric authentication using ECG” Indian Patent Publication, Jun 2023. Application no: 202341031975

    Patent entitles as “Invention: Machine Learning Based Approach to Automated Attendance and monitoring system” Indian Patent Publication, Dec 2022. Application No.202241074545

    Patent entitles as “Automatic Stroke Detection and Classification Using A Convolutional Neural Network And Brain CT Image Matching” Indian Patent Publication, May 2022. Application no: 202221027263













  • Awards and Achievements

    1)Event Coordinator Five days Faculty Development Programme from 15th Dec 2025 to 19th Dec 2025 “Business 4.0 – Adopting Industry 4.0 Frameworks for Academia “ (Sponsored by IEEE Madras Section)

    2) Organizer of International Conference on Recent Trend and Technologies in Computing ICRTTC’23 at Arasu Engineering College- Kumbakonam


  • Workshops / Seminars

    Participated

    Faculty Development Program:

    • Participated AICTE Training And Learning (ATAL) Academy Faculty Development Program on AI-Driven Solutions for Sustainable Development: A Faculty Development Perspective at K. RAMAKRISHNAN COLLEGE OF ENGINEERING from 08/09/2025 to 13/09/2025
    • Participated AICTE Training And Learning (ATAL) Academy Faculty Development Program on Defensive AI: Machine Learning in Cyber Security at MOUNT ZION COLLEGE OF ENGINEERING AND TECHNOLOGY from 07/07/2025 to 12/07/2025
    • Participated in 5 days faculty development program on” Leveraging AI: Human Factors in Cyber Security” conducted by Mandapalle Institute of Technology
    • Participated AICTE Training And Learning (ATAL) Academy Faculty Development Program on “ Enhancing Cyber Threat Detection Through incorporating Digirtal Technologies at Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology
    • Participated in 5 days faculty development program on “Faculty induction Program” conducted by ICT Academy from 23 July 2018 to 27 July 2018
    • Participated in 5 days faculty development program on “Sales force Essential forbusiness specialist” conducted by ICT Academy from 23 July 2018 to 27 July 2018
    • Participated One day Seminar On “Internet of things” in Paavai Education Institution Namakal on Jan 2018.
    • Participated Three Days Faculty Development Program on “Aptitude “in Jayalakshmi Institute of Technology in Nov 2016.
    • Two Days Faculty Development Program on “Speak alive” in Jayalakshmi Institute of Technology in Nov 2016.
    • Handled one day Guest Lecture on “Trends in Big Data Analytics “for M.A.M Polytechnic College on Oct 2017.
    • Handled one day Guest Lecture on “Programming Structure in various Languages “forM.A.M Polytechnic College on Oct 2020.

    Seminar Details:

    • Handling webinar on “The Intersection of AI and Data Science: Opportunities and Challenges” at Ramakrishnan College of Technology -Trichy on Oct 24
    • Handling webinar on “AI & Data Science: Shaping Tomorrow's World” at St Joseph college of Engineering and Technology -Thanjavur on Oct 24
    • Handling one day Seminar on “The impact of Data Science” at MAM College of Engineering Trichy on Oct 22

    Organized

    • Event Coordinator Five days Faculty Development Programme from 15th Dec 2025 to 19th Dec 2025 “Business 4.0 – Adopting Industry 4.0 Frameworks for Academia “ (Sponsored by IEEE Madras Section)
    • Organizer of International Conference on Recent Trend and Technologies in Computing ICRTTC’23 at Arasu Engineering College- Kumbakonam



  • Work Experience

    Academic Experience:

    • Working as an Assistant Professor at SRM Institute of Science and Technology Trichy-  from May 2026 to Till
    • Worked as an Associate Professor at Vel Tech University-Avadi, Chennai from April 2024 to May 2026
    • Worked as an Associate professor/HoD at Arasu Engineering College Kumbakonam from Aug 2022 to April 24
    • Worked as an Assistant Professor in M.I.E.T Engineering College at Trichy from Sep 2009 to June 20196

    Industry Experience:

    • Worked as an Software Engineer in .Net Technolgy at Innovosoft Technology Chennai from June 2004 to Aug 2009

    Research Experience:

    • Research scholar ( PhD Full time) at Sona college of technology- Anna University from June 2019-Nov 2022


  • Memberships

    IEEE Member   :   100017691

  • Funded Projects