Sanjay Dutta

 Sanjay Dutta

Postgraduate

Department of Computer Science

Contact Details

Research

His research focuses on the use of machine learning, particularly Deep Learning methods for image and video analysis. In video analysis, he develops deep learning architectures for egocentric videos that integrate both action appearance and motion within a single model. Development and evaluation are carried out using publicly available data.

Additionally, he has collaborated with the Life Sciences and Veterinary Sciences departments at the university on several machine-learning projects. This interdisciplinary work involved developing and applying advanced machine learning techniques to solve complex problems in biological and veterinary sciences, enhancing research outcomes and fostering innovation at the intersection of technology and life sciences.

Publications

Dutta, S, Burk, J, Santer, R, Zwiggelaar, R & Boongoen, T 2024, Noise Profiling for ANNs: A Bio-inspired Approach. in N Naik, P Jenkins, P Grace, L Yang & S Prajapt (eds), Advances in Computational Intelligence Systems: Contributions Presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), September 6–8, 2023, Birmingham, UK. Advances in Intelligent Systems and Computing, vol. 1453, Springer Nature, pp. 140-153. 10.1007/978-3-031-47508-5_12
More publications on the Research Portal