Mr. S. Thanga Prasath
Qualification : M.Tech., (Ph.D.) (VIT, Vellore)
Designation : Asst. Professor
Email: [email protected]
Details of Educational Qualification:
| Course | Specialization | Branch | Institute / University | Year of Passing |
|---|---|---|---|---|
| Ph.D. | Artificial Intelligence | CSE | VIT, Vellore | Pursuing |
| M.Tech. | CSE | CSE | Dr. MGR Educational & Research Institute | 2011 |
| B.Tech. | IT | IT | Ranipet Engineering College | 2006 |
Research Areas:
- Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Healthcare Applications of AI, Precision Agriculture, Crop Recommendation Systems, Pest Detection and Control Using AI
Research Identifiers:
- Scopus: https://www.scopus.com/authid/detail.uri?authorId=57703980000
- Vidwan: https://vidwan.inflibnet.ac.in/profile/655835
- Google scholar: https://scholar.google.com/citations?hl=en&user=gAJAzNIAAAAJ
- h-Index (As per Scopus Data) : 4
Publication Details:
| S.No | Publication Affiliation | Academic Year | Author Position | Details of Research Publication | Indexing | Publication | Journal Quartile (Q1/Q2/Q3/Q4) |
|---|---|---|---|---|---|---|---|
| 1 | Others | 2025-26 | 1 | A Precise Neural Network Approach Using Residual Network and Minority Oversampling Method to Diagnose the Correlation between Colorectal Cancer and Food Group. Results in Engineering, 106909. DOI: https://doi.org/10.1016/j.rineng.2025.106909. | SCIE | Article | Q1 |
| 2 | Others | 2024-25 | 1 | Colorectal cancer prognosis based on dietary pattern using synthetic minority oversampling technique with K-nearest neighbors approach. Scientific Reports, 14(1), 17709. DOI: 10.1038/s41598-024-67848-3. | SCIE | Article | Q1 |
| 3 | MITS | 2024-25 | 1 | Deep learning framework for colorectal cancer classification using ResNet18 based on dietary habits related to meat intake and cooking methods. IEEE Access. DOI: 10.1109/ACCESS.2024.3430036. | SCIE | Article | Q1 |
| 4 | MITS | 2024-25 | 1 | Systematic analysis of the role of different foods on breast, lung, and prostate cancer incidence. Food Chemistry Advances, 4, 100733. DOI: https://doi.org/10.1016/j.focha.2024.100733 | Scopus | Article | Q1 |
| 5 | MITS | 2022-23 | 1 | Analysis of the impacts of consuming red and processed meat on colorectal cancer and the role of machine learning in clinical diagnostics. In 2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) (pp. 855-861). IEEE. DOI: 10.1109/IITCEE57236.2023.10091060. | Scopus | Conference Proceedings | None |
| 6 | MITS | 2022-23 | 1 | Advanced Technologies for Precision Agriculture and Farming. In Hybridization of Blockchain and Cloud Computing (pp. 167-185). Apple Academic Press. DOI: 10.1201/9781003336624-10. | Scopus | Book Chapter | None |
| 7 | MITS | 2021-22 | 1 | An in-depth study of smart agriculture based on internet of things and wireless sensor networks. ECS transactions, 107(1), 1363. DOI: 10.1149/10701.1363ecst. | Scopus | Conference Proceedings | None |
| 8 | MITS | 2016-17 | 1 | Diabetic data analysis in big data with predictive method. In 2017 international conference on algorithms, methodology, models and applications in emerging technologies (ICAMMAET) (pp. 1-4). IEEE. DOI: 10.1109/ICAMMAET.2017.8186738. | Scopus | Conference Proceedings | None |
Awards/Achievements
- VIT University was honored with the Raman Research Award for the publication titled 'Deep Learning Framework for Colorectal Cancer Classification Using ResNet18 Based on Dietary Habits Related to Meat Intake and Cooking Methods' authored by Thanga Prasath S. and Navaneethan C., published in a Scopus-indexed journal in July 2024.
- VIT University was honored with the Raman Research Award for the publication titled 'Colorectal cancer prognosis based on dietary pattern using synthetic minority oversampling technique with K-nearest neighbors approach' authored by Thanga Prasath S. and Navaneethan C., published in a Scopus-indexed journal in August 2024.