Mr S. Thanga prasath Thangaprasath
Assistant Professor
| Department of Artificial Intelligence
Madanapalle Institute of Technology & Science, Madanapalle
Tamil Nadu
Expertise:
Computer Science Artificial Intelligence
12
Publications
0
Projects
67
Scopus Citations
56
CrossRef
16 Years 8 Months Total Experience
Scopus
67
Citations
5
h-index
CrossRef
56
Citations
5
h-index
Google Scholar
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Professional Recognition
RAMAN RESEARCH AWARD
2024
VIT
Community & Membership
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Personal Details
Doctor of Philosophy
2025
N/A
Master of Technology
2011
N/A
Bachelor of Technology
2006
N/A
Assistant Professor
Sep 2025 – Present
Madanapalle Institute of Technology & Science, Madanapalle
| Department of Artificial Intelligence
Assistant Professor
Apr 2021 – Aug 2025
Vellore Institute of Technology, Vellore
Assistant Professor
Jul 2018 – Jun 2020
Sri Venkateswara College of Engineering and Technology
Assistant Professor
Jun 2016 – May 2018
Er. Perumal Manimekalai College of Engineering
| Department of Computer Science and Engineering
Assistant Professor
Oct 2013 – May 2016
Saraswathi Velu College of Engineering
Assistant Professor
Jun 2012 – Apr 2013
P.B. College of Engineering
Senior Lecturer
Jun 2011 – Jun 2012
Paavai Engineering College
| Department of Computer Science and Engineering
Lecturer
Oct 2006 – May 2009
Saraswathi Velu College of Engineering
Engineering and Technology
Scholarly Work
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Scholarly Publications
A synthetic oversampling-based customized ResNet51-Conv1D framework for early colorectal cancer prediction using structured clinical data from the PLCO screening trial
Open Access
A Hybrid Machine Learning Approach with Explainable AI for Colorectal Cancer Risk Prediction from Dietary and Lifestyle Data
BTFSO-WSN: A Blockchain-Integrated Fish Swarm Optimization-Driven Trust Model for Secure Routing in Wireless Sensor Networks
Advanced Technologies for Precision Agriculture and Farming
Feature-Level Information Fusion of Dietary and Lifestyle Variables for Machine Learning-Based Prediction of Colorectal Cancer Risk
Diabetic data analysis in big data with predictive method
A precise neural network approach using residual network and minority oversampling method to diagnose the correlation between colorectal cancer and food group
Open AccessColorectal cancer prognosis based on dietary pattern using synthetic minority oversampling technique with K-nearest neighbors approach
Open Access
Showing 1 to 8 of 12 publications