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Ramesh Kumar  Ayyasamy
PeerJ Author & Reviewer
380 Points

Contributions by role
Author 100
Reviewer 280

Contributions by subject area
Cryptography
Security and Privacy
Artificial Intelligence
Data Mining and Machine Learning
Text Mining
Neural Networks
Algorithms and Analysis of Algorithms
Natural Language and Speech
Social Computing
Human-Computer Interaction
Sentiment Analysis
Data Science
Computer Education
Software Engineering
Computer Vision

Ramesh Kumar Ayyasamy

PeerJ Author & Reviewer

Summary

Ramesh Kumar Ayyasamy (Senior Member, IEEE) earned his Ph.D. in Information Technology from Monash University, Australia, in 2013. He has over 23 years of teaching and research experience in Computer Science and Information Systems. He has held various academic and research roles at multiple institutions throughout his career. He is an Associate Professor in the Faculty of Information and Communication Technology at Universiti Tunku Abdul Rahman (UTAR), Malaysia. Dr. Ramesh's research expertise lies in AI-driven text analytics, focusing on sentiment analysis, deep learning for healthcare imaging, and semantic image segmentation. His work bridges theoretical foundations and practical applications, contributing to natural language processing, computer vision, smart city development, and health informatics. In addition to his research activities, he plays an active role in the academic community as a reviewer for leading journals and conferences. He serves on the editorial boards of several scholarly journals, including Discover Artificial Intelligence, Journal of Engineering and Applied Science, and International Journal of Innovative Engineering, Science and Technology.

Cryptography Data Mining & Machine Learning Security & Privacy

Work details

Associate Professor

Universiti Tunku Abdul Rahman
October 2015
Faculty of Information and Communication Technology

Identities

@r_ksamy

Websites

  • Google Scholar

PeerJ Contributions

  • Articles 2
October 29, 2025
Online suicide ideation detection (OnSIDe): a context-aware transfer learning approach using BERT-CNN
Vimala Balakrishnan, Deepiga Loganathamoorthy, Ramesh Kumar Ayyasamy, Saadat M. Alhashmi, Chinnasamy P.
https://doi.org/10.7717/peerj-cs.3239
May 11, 2022
A novel systematic byte substitution method to design strong bijective substitution box (S-box) using piece-wise-linear chaotic map
Asim Ali, Muhammad Asif Khan, Ramesh Kumar Ayyasamy, Muhammad Wasif
https://doi.org/10.7717/peerj-cs.940