Best Researcher Award
Kaliappan. M — Ramco Institute of Technology, India
Kaliappan. M is a researcher and his record identifies research activity is on spanning artificial intelligence, data science, wireless networks, and medical-image-related applications. The profile also records peer-reviewed publications and continuing scholarly activity.[1]
Abstract
This academic recognition profile presents the documented research record of Kaliappan. M and his research record identifies his research including deep learning, Big Data analytics, and wireless ad-hoc networks. His documented scholarly activities include medical image processing, machine learning, big data analytics, and related computational applications. [3]
Keywords
Kaliappan M, Medical Image Processing, Deep Learning, Big Data Analytics, Artificial Intelligence, Wireless Ad-Hoc Networks, Machine Learning, Medical Imaging, Researcher Award, Cryogenicist Global Awards.
Introduction
The research profile combines computer science methodologies with application-oriented studies. The ORCID record documents a Professor and Head role in Artificial Intelligence and Data Science at Ramco Institute of Technology and identifies a continuing publication history across computing and interdisciplinary research.[1]
Research Profile
The documented research interests include deep learning, Big Data analytics, and wireless ad-hoc networks. More recent recorded work includes multimodal medical image classification using a unified vision transformer, demonstrating an application of contemporary machine-learning methods to biomedical image analysis.[1]
Research Contributions
Kaliappan. M has contributed to research in deep learning, Big Data analytics, and medical image processing, with applications across intelligent computing and biomedical systems. His documented work includes machine-learning approaches for medical image classification and disease prediction. The research record also covers secure routing, energy optimization, and data-driven computational models.
Publications
The ORCID record lists 27 works and includes publications in journals such as Biomedical Signal Processing and Control, Neural Computing and Applications, Journal of Medical Systems, and Cluster Computing. Examples include a 2026 article on multimodal medical image classification and earlier studies involving machine learning, data analytics, and network systems.[2]
Research Impact
The research profile records 76 documents, 1,767 citations, and an h-index of 25. These metrics are presented as profile information supplied for this recognition page and should be interpreted according to the indexing database and date on which the metrics are retrieved.[3]
Award Suitability
The documented publication activity, interdisciplinary research themes, and bibliometric indicators provide a factual basis for presenting Kaliappan. M for consideration under the Best Researcher Award. The stated subject area for this profile is Medical Image Processing, while the wider record includes several related computing disciplines.
Conclusion
Kaliappan. M’s profile reflects sustained academic activity across artificial intelligence, data analytics, medical image processing, and networking research. His recorded publications and supplied research metrics establish a structured scholarly profile for documentation within the Cryogenicist Global Awards recognition framework. [3]
External Links
References
- ORCID. (2026). Kaliappan M, ORCID record 0000-0001-6177-7428. ORCID.
https://orcid.org/0000-0001-6177-7428
- Elsevier. (n.d.). Scopus author details: Kaliappan M, Author ID 55315684100. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=55315684100
- Kaliappan, M., Mariappan, E., Manimaran, V., & Revathi, B. (2026). Unified vision transformer for multimodal medical image classification. Biomedical Signal Processing and Control.
https://doi.org/10.1016/j.bspc.2026.110431
- Vimal, S., Kalaivani, L., Kaliappan, M., Suresh, A., Gao, X.-Z., & Varatharajan, R. (2020). Development of secured data transmission using machine learning-based discrete-time partially observed Markov model and energy optimization in cognitive radio networks. Neural Computing and Applications.
https://doi.org/10.1007/s00521-018-3788-3
- Geetha, R., Sivasubramanian, S., Kaliappan, M., Vimal, S., & Annamalai, S. (2019). Cervical Cancer Identification with Synthetic Minority Oversampling Technique and PCA Analysis using Random Forest Classifier. Journal of Medical Systems. .
https://doi.org/10.1007/s10916-019-1402-6