Department of Computer Science & Engineering (Emerging Technologies)
Degree
Specialization
University/Institute Name, Year
Ph.D.
Computer Science & Engineering
Veltech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Chennai,
2016
M.E.
Computer Science & Engineering
Jaya Engineering College ,
2006
B.E.
Electrical & Electronics Engineering
Madras University,
1998
Artificial Intelligence
Quantum Computing
Large Language models
Machine Learning
Deep Learning
IOT
Applied Machine Learning
Deep Learning from Production to Deployment
Large Language Models
Spatial and Temporal Computing
Since Jan 2025 – Till Date, Associate Professor, SRM Institute of Science and Technology (SRMIST), Vadapalani Campus, Chennai
Jan 2020 – May 2024, Professor, Veltech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Chennai
June 2014 – Jan 2020, Associate Professor, Veltech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Chennai
Jan 2007 – June 2014, Assistant Professor, Veltech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Chennai
June 2006 – Dec 2006, Senior Lecturer, Jaya Engineering College, Chennai
Dec 1998 – May 2004, Lecturer, RajaRajeswari Engineering College, Chennai
Completed online certification course on Deep Learning from IIT Ropar
Completed online course on Python Core and Data science from Sololearn
Completed online course on Data Mining from IIT Karagpur
Guided several projects in modelling, design and simulation of Machine Learning, IOT and Distributed generation.
Ph.D Completed under my guidance -3
26 years of Teaching experience in Core competence in all phases of engineering projects from concept and feasibility studies through to detailed design, documentation, construction and commissioning.
Currently working as Professor in Saveetha Engineering College, Chennai handling Subjects like Machine learning, Deep learning, Prompt Engineering, Python programming
Jebaselvi, W. H., Jagadeesh, S., Mahesh, C., Shaffi, S. S., Jerith, G. G., & Kiruba, P. P. J. (2026, May). Prediction of Chronic Liver Disease Using Machine Learning: A Comparative Study of Catboost and XGBoost. In 2026 4th International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS) (pp. 708-714). IEEE.
Shaffi, S. S., Jagadeesh, S., & Mahesh, C. (2026). Machine Learning-Based Optimization of Data Centre Energy Efficiency for Intelligent Transitions Between Renewable Energy and the Grid. Renewable Energy, 125618.
Sashithra, K., Mahesh, C., & Shantha Kumar, M. (2025, November). Personalized Healthcare Insights AI Driven Predictive Analysis and Intervention. In 2025 Fourth International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN) (pp. 1-6). IEEE.
Ramesh, B., Mahesh, C., Sabitha, R., & Priya, V. (2025). Advances in Software-Defined Wireless Networks (SDWN): Solutions for Flexible and Scalable Communication. National Journal of Antennas and Propagation, 7(1), 181-187.
Mohan, R. M., & Mahesh, C. (2025). Energy Efficient and QoS Aware Trustworthy Routing Protocol for MANET Using Hybrid Optimization Algorithms. Computer Science, 26(1), 101-131.
Lavanya, S., Kannadhasan, S., Mahesh, C., Sriraam, V. G., Sachinkumar, D., Susmitha, S., & Kumar, A. S. (2025, January). Lifelane Guardian: Swift and Secure Pathways for Emergency Vehicles. In Proceedings of Eighth International Conference on Information System Design and Intelligent Applications (pp. 489-499). Singapore: Springer Nature Singapore.
Mahesh C, Veeramani R, Madhanmohan “Energy Efficient and QoS Aware Trustworthy Routing Protocol for MANET using Optimization Algorithms”, Computer Science, 2025, 26(1), pp. 1-31.
Mahesh C, Dohare “A deep learning approach for medicine preparation machines with SVM and CNN integration”, Blockchain and IoT Approaches for Secure Electronic Health Records (EHR), 2024 vol.9, no.24, 2014, pp. 30043-30051.
Mahesh C, Ramasamy V, Ramalingam M M, “Energy efficient secured-quality of service routing protocol for mobile ad hoc network using multi-objective optimization”, Indonesian Journal of Electrical Engineering and Computer Science, vol.10, no.5, 2015, pp. 11599-11609.
Nithiyanandham N, Mahesh C, Raja S P, , “Energy-efficient intrusion detection system for secure acoustic communication in under water sensor networks”, KSII Transactions, vol.7, no.3 , 2015, pp 1062-1068.
Mahesh C, Prabha S S, “Link Stability and Obstacle Avoidance Based Traffic-aware Reactive Routing Protocol for Mobile Ad-hoc Network”, International Journal of Information Technology (Singapore), vol. 7, no. 1, 2015, pp. 8028- 8039.
David S A, Mahesh C, “Retinal Blood Vessels and Optic Disc Segmentation Using U-Net”, Mathematical Problems in Engineering, vol. 7, no. 2, 2015, pp. 9225-9234.
Mahesh C, Ahmed MZ “An efficient image based feature extraction and feature selection model for medical data clustering using deep neural networks”, Traitement du Signal, vol.7, no.2, 2015, pp. 9190-9211.
Prabha SS, Mahesh C “An Enhanced Semantic Focused Web Crawler Based on Hybrid String Matching Algorithm”, Cybernetics and Information Technologies”, vol.7, no.2, 2015, pp. 9243-9251.
Ahmed M Z, Mahesh C, “A weight based labeled classifier using machine learning technique for classification of medical data”, Revue d'IntelligenceArtificiell, vol.28, no.13, pp.5633-5637.
Durai S, Mahesh C, “Research on varietal classification and germination evaluation system for rice seed using hand-held devices”, Acta Agriculturae Scandinavica Section B: Soil and Plant Science, Vol. 29, issue.15, pp. 3054-3056.
Mahesh C, Cooli Y, “Recursive Parallel Partition Random Forest for Medical Disease Classification”, International Journal of Intelligent Engineering and System, vol.10, no.25, pp. 87-100.
Sarala S P K, Mahesh C “Decision Tree Based Salp Swarm Optimization for Multimedia Data”, Brazilian Journal Biology and Technology vol.10, no.11, pp. 1994-1996.
Jayanthi K, Mahesh C “Early Detection of Pediatric Cardiomyopathy Disease Using Window Based Correlation Method from Gene Micro Array Data” Journal of Sensors, vol. 11, No.5, pp. 1945-1950.
20. Mahesh C, Arumugam A, Kannan E, “Atmospheric-temperature-based cooling system control for electronic devices using internet of things”, International Journal of Ambient Energy, vol.7, issue. 2.25(2018), pp. 170-174
Durai S, Mahesh C, “Research on germination prediction and varietal classification for rice seed quality”, International Journal of Engineering and Advanced Technology, vol.7, issue. 4(2018), pp. 3543-3547.
Mahesh C, Ahmed M.Z “Big data clustering and its applications examination”, International Journal of Recent Technology and Engineering, vol.8 , no.10, pp. 2054-2058.
Jayanthi K, Mahesh C, “Need of machine learning in bioinformatics”, International Journal of Innovative Technology and Exploring Engineering, vol.8, no. 1, pp. 35-40.
Mahesh C, “A prediction of pediatric cardiomyopathy disease associated genes using machine learning algorithms” International Journal of Recent Technology and Engineering, vol. 7, no. 6, pp. 2202-2205.
David S A, Mahesh C, “Retinal blood vessel and optic disc segmentation”, International Journal of Recent Technology and Engineering, vol. 9, No. 4, pp. 6063-6066.
Mahesh C, “A Study on machine learning methods and applications in genetics and genomics”, International Journal of Engineering and Technology.
Pawar R Y, Mahesh C, “A survey on Malware detection techniques on Linux Powered smart phones using machine learning approaches” International Journal of Engineering and Technology
ayanthi K, Mahesh C, “A Study on machine learning methods and applications in genetics and genomics” International Journal of Engineering and Technology
Durai S, Mahesh C, “Survey of rice seed quality analysis for varietal purity estimation by using image processing techniques” International Journal of Engineering and Technology
David S, Mahesh C, “Declamoring HRI duplicate by anisotropic dissemination straining”, International Journal of Civil Engineering and Technology
Jayanthi K, Mahesh C, “A study of classification based machine learning methods for disease gene prediction” International Journal of Mechanical Engineering and Technology
Mahesh C, Kannan E, “An intelligent system with a novel approach for diagnosing hepatitis viruses using generalized regression artificial neural network”, International Journal of Civil Engineering and Technology
Mahesh C, “Enhancing privacy preservation in data mining using cluster based greedy method in hierarchical approach” Indian Journal of Science and Technology
Mahesh C,” Geographical image retrieval using spatial filtering for image enhancement techniques” International Journal of Applied Engineering Research
Mahesh C, “An unidentified location-based efficient routing protocol in vanet” Advances in Intelligent Systems and Computing
Mahesh C, Kannan E , “Generalized regression neural network based expert system for hepatitis B diagnosis” Journal of Computer Science
Mahesh C, “Hybrid fuzzy weighted association rule mining with genetic network programming for intrusion detection model”, International Journal of Applied Engineering Research
SRMIST Vadapalani
Welcome to the academic hub of SRMIST Vadapalani, where excellence meets opportunity and where students, faculty and staff collaborate to create an environment of intellectual curiosity, personal growth and academic excellence.
