Dr. R. Sneka Nandhini
B.Tech., M.Tech., Ph.D
Assistant Professor
Department Of Computer Science and Engineering
Dr. R. Sneka Nandhini is currently serving as an Assistant Professor in the Department of Computer Science, SSN College of Engineering, Chennai. She is completed her Ph.D. in Computer Science and Engineering at Vellore Institute of Technology, with her thesis titled Optimizing Cyber-Physical Systems – A Data-
Driven Approach to Fault Detection and Predictive Modelling. She holds an M.Tech. from Sri Venkateswara University and a B.Tech. from SV College of Engineering, both First class with distinction. Her areas of interest include cyber-physical system optimization, machine learning and IoT. She has published research articles in
Scopus-indexed journals and conferences, and has contributed a book chapter and a granted patent in the field. With a foundation in programming and a passion for innovative teaching, she is also a certified faculty member in Project-Based Learning from Wipro Technologies.
- Nandhini, Ramesh Sneka, and Ramanathan Lakshmanan. QCNN_BaOpt: MultiDimensional Data-Based Traffic-Volume Prediction in Cyber–Physical Systems. Sensors, Vol.23. no.3 (2023): 1485. Impact factor – 3.4.
- Nandhini, R. S., and Lakshmanan, R. A Novel Ensemble Learning Approach for Fault Detection of Sensor Data in Cyber-physical System. Journal of Intelligent and Fuzzy Systems, Vol.45. no.6 (2023) 12111 – 12122. Impact factor – 1.7.
- Nandhini, R. S., & Lakshmanan, R. (2024). Enhancing Traffic Management in Cyber Physical Systems – A Gradient Based Fuzzy Controller Approach. Journal of Machine and Computing, 4(4), 886-894.
- Nandhini, R. S., & Lakshmanan, R. A Review of the Integration of Cyber- Physical System and Internet of Things. International Journal of Advanced Computer Science and Applications, vol.13. no.4. (2022).
- Shanmugam Muthu, R S, N., A. Tamilarasi, Ahmed Mudassar Ali, S, S., & S. Jayapoorani. (2025). AI-Powered Predictive Digital Twin Platforms for Secure Software-Defined IoT Networks. International Journal of Computational and Experimental Science and Engineering, 11(3).https://doi.org/10.22399/ijcesen.2497
- Supervised Clustering Process in Distributive Environment, Indian Patent Granted (29-11-2019)