Dr. SRIDHAR RAJ S

Computer Vision,  Deep learning,  Person Re-identification

• Ph.D. in Computer Vision - AI from National Institute of Technology (NIT), Trichy

• M.Tech in Computer Science and Engineering from Pondicherry University

• B.Tech in Information Technology from Pondicherry Engineering College, Pondicherry

• Assistant Professor, IIIT Kottayam (March 2026 - till date)

• Assistant Professor, VIT - Vellore Campus (Aug 2021 -  March 2026)

• Senior Research Fellow (SRF), NIT-Trichy. (Aug 2020 - March 2021)

• Junior Research Fellow (JRF), NIT-Trichy. (Aug 2018 - Aug 2020) 

• Hrishikesh Muniraju, Sridhar Raj S, "Enhancing Explainable Video Anomaly Detection using Cross-Modal Attention Fusion Mechanism", 2025 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (iConSCEPT), NIT Puducherry, Karaikal, India.

• Maitrey M. Bhute, Sanskar S Tare, Sridhar Raj S, "Query-Driven Video Summarization for Long Video Footage Analysis Using Faster-RCNN and Determinantal Point Processes",  2024 3rd International conference on Machine Learning and Data Engineering (ICMLDE 2024), Dehradun, India.

• Y. Kaushik, A. Athmaraman, A. M. John, Sridhar Raj S, "Signature-based Intrusion Prevention System for Software Defined Networks using SNORT," 2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT), Vellore, India, 2024, pp. 1-6, doi: 10.1109/AIIoT58432.2024.10574719.

• Sridhar Raj S, M.V.N.K.Prasad, Ramadoss Balakrishnan, "Light-weight visual feature based labeling (LVFL) for unsupervised person re-identification", in: Proceedings of the 15th IEEE International Conference on Signal Image Technology and Internet based Systems (SITIS), Sorrento-Naples, Italy, November 2019.

• Shruti Agarwal and Sridhar Raj S, “Chapter 13 - A study on Deep learning  based Augmentation Techniques for Brain Tumor Detection, Multimodal AI for Personalized Healthcare Services: Technologies, Challenges and Applications”, Jenny Stanford Publishing, 2025. (Accepted yet to be online)

• Aditya Chede, Rishabh Joshi, Ahan Sridhar and Sridhar Raj S, “Chapter 6 - Enhancing leukemia detection Through advanced image Processing and convolutional Neural network architectures”, Multimodal AI for Personalized Healthcare Services: Technologies, Challenges and Applications, Jenny Stanford Publishing, 2025. (Accepted yet to be online)

• Mohamed Osman Zaid K.B, Aayush Singh, Sivaraj Chandrasekaran and Sridhar Raj S, “Chapter 22 - Real-time ECG Analysis and Classification Using Neural Networks in IoT Devices”, Advanced Computing Solutions for Healthcare, Bentham science, Page: 380-393 (14), ISBN: 978-981-5274-14-1, June 2025.

• Sridhar Raj S and M.Madiajagan, “Chapter 4 - Parallel Machine Learning and Deep Learning Approaches for Internet of Medical Things”, Intelligent IoT Systems in Personalized Healthcare, ISBN: 978-0-12-821187-8, Elsevier, July 2020. (Citations: 4)

• Sridhar Raj S and M.Madiajagan, “Chapter 1 – Parallel Computing Graphics Processing Unit (GPU) and New Hardware for Deep Learning in Computational Intelligence Research”, Deep Learning and Parallel Computing Environment for Bio-Engineering Systems, ISBN: 978-0-12-817293-3, Elsevier, July 2019. (Citations: 39)

• Sridhar Raj S and M.Madiajagan, “Chapter 15 – Parallel Machine Learning and Deep Learning for Bioinformatics”, Deep Learning and Parallel Computing Environment for Bio-Engineering Systems, ISBN: 978-0-12-817293-3, Elsevier, July 2019.  (Citations: 5)

• Delivered a talk on "Introduction to Generative AI & its real-world application" at 2-Day Short-term Training Programme on Applied AI and Real-time Applications conducted by CSE Department, IIIT Kottayam on April 17th, 2026.

• Delivered a talk on "Solving Computer Vision Problems using Vision Transformers, Self-attention networks and Generative AI" at Faculty Development Program (FDP) conducted by TLCE and School of Computer Science of Engineering (SCOPE), VIT, Vellore Campus on October 9th, 2025.

• Delivered a talk on "Step-by-Step Processing of Computer Vision Images using Deep Neural Networks and Generative Adversarial Networks (GAN) at Faculty Development Program (FDP) conducted by TLCE and School of Computer Science of Engineering (SCOPE), VIT, Vellore Campus on March 20th, 2025.

• Delivered a talk on "Implementation of Convolutional Neural Networks (CNN) and Computer Vision - Research Perspective" at St. Thomas College, Thrissur, Kerala, India on October 29th, 2024.

1. IEEE Transactions on Information Forensics and Security

2. Pattern Recognition, Elsevier

3. Artificial Intelligence Review, Springer Nature. 

4. Applied Artificial Intelligence, Taylor & Francis.

5. Signal, Image and Video Processing, Springer

6. Expert Systems with Applications, Elsevier

7. Image and Vision Computing, Elsevier

8. Multimedia Tools and Applications, Springer

• Artificial Intelligence, Internet of Things, Web Programming, Database Systems, Compiler design,  Software Defined Networks, Operating Systems, Computer programming: Java and Data structures and algorithms

• Google Scholar: https://scholar.google.com/citations?hl=en&user=dGwfp0wAAAAJ&view_op=list_works&sortby=pubdate

• Scopus ID: https://www.scopus.com/authid/detail.uri?authorId=57201467678

• Orcid id: https://orcid.org/0000-0002-7609-4176

• Research gate: https://www.researchgate.net/profile/Sridhar-Raj

• LinkedIn:  https://www.linkedin.com/in/sridhar-raj-s-904bbab9/