Dr. SRIDHAR RAJ S, Ph.D. (NIT, Trichy)
Asst. Professor (Senior Grade 1)
School of Computer Science and Engineering
Vellore Institute of Technology (VIT), Vellore Campus
email: sridharraj.s@vit.ac.in
secondary: drsridharraj@gmail.com
Courses Offered
CSE 3013 Artificial Intelligence
CSE 3009 Internet of Things
CSE 3002 Internet and Web Programming
CSI 3001 Principles of Database Systems
BCT 3008 Software Defined Networks
BCSE303L Operating Systems
BCSE103E Computer programming: Java
Research Interests
Computer Vision, Deep learning, Machine Learning, Person re-identification
Professional Experience
Assistant Professor, VIT - Vellore Campus (Aug 2021 - present)
Senior Research Fellow (SRF), NIT-Trichy. (Aug 2020 - March 2021)
Junior Research Fellow (JRF), NIT-Trichy. (Aug 2018 - Aug 2020)
International Journals Published (Refereed): SCIE - 5
- Sridhar Raj S, M.V.N.K.Prasad, Ramadoss Balakrishnan, "Generative Segment-pose Representation based Augmentation (GSRA) for Unsupervised person re-identification." Image and Vision Computing, 131, 104632, 2023. (SCIE, Impact Factor: 3.86)
- Sridhar Raj S, M.V.N.K.Prasad, Ramadoss Balakrishnan, "Spatio-temporal Association Rule based Deep Annotation-free Clustering (STAR-DAC) for Unsupervised Person Re-identification", Pattern Recognition, Elsevier, 122, 108287, 2022. [SCIE, Impact factor: 8.518]
- Sridhar Raj S, M.V.N.K.Prasad, Ramadoss Balakrishnan, "Spatial Segment-aware Clustering based Dynamic Reliability Threshold Determination (SSC-DRTD) for Unsupervised Person Re-identification", Expert Systems with Applications, Elsevier, vol. 170, 114502, 2021. [SCIE, Impact Factor: 8.665]
- Sridhar Raj S, M.V.N.K. Prasad, Ramadoss Balakrishnan, "Deep Manifold Clustering based Optimal Pseudo Pose Representation (DMC-OPPR) for unsupervised person re-identification", Image and Vision Computing, Elsevier, vol.101, 103956, 2020. (SCIE, Impact Factor: 3.86)
- Sridhar Raj S, M.Nandhini, “Ensemble Human Movement Sequence Prediction Model with Apriori based Probability Tree Classifier (APTC) and Bagged J48 on Machine Learning”, Journal of King Saud University – Computer and Information Sciences, Elsevier, October 2017. (SCIE, Impact Factor: 13.473)
- Sridhar Raj S, M.Nandhini, “Mobility prediction using spatial, temporal and social data : A Survey”, International Journal of Latest Trends in Engineering and Technology, Vol.8, Issue (4-1), pp.014-019, e-ISSN: 2278-621X, August 2017.
International Conferences (Refereed): Foreign visits - 1
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. (IEEE explore digital library, DBLP)
Book Chapters Published
Chapter 1 & 15 - Deep Learning and Parallel Computing Environment for Bio-Engineering Systems, ISBN: 978-0-12-817293-3, Elsevier.
Chapter 4 - Parallel Machine Learning and Deep Learning Approaches for Internet of Medical Things, ISBN: 978-0-12-821187-8, Elsevier.
Invited editer/reviewer - Active
IEEE Transactions on Information Forensics and Security
Artificial Intelligence Review, Springer Nature. (SCIE, IF: 8.139)
Applied Artificial Intelligence, Taylor & Francis. (SCIE, WoS)
Image and vision computing, Elsevier. (SCIE, WoS)
Follow me at:
Google Scholar: https://scholar.google.com/citations?hl=en&user=dGwfp0wAAAAJ&view_op=list_works&sortby=pubdate
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/