Dr.Saswata Roy

Academic Qualifications

Research Interests

Machine Learning, Deep Learning, Explainable AI.

Selected Publications

1. Saswata Roy, Manish Bhanu, Shalini Priya, Joydeep Chandra, and Sourav Dandapat. “Beyond just saying it’s false: explainable AI for multimodal misinformation detection”, Applied Intelligence, Accepted July 2025, Volume 55, Issue 11.
2. Shalini Priya, Manish Bhanu, Saswata Roy, Sourav Dandapat, and Joydeep Chandra. " Multi-source domain adaptation approach to classify infrastructure damage tweets during crisis." International Journal of Data Science and Analytics, Volume 19, Issue 1, Accepted 13 December 2024.
3. Saswata Roy, Manish Bhanu, Sourav Dandapat, and Joydeep Chandra. "Towards an orthogonality constraint-based feature partitioning approach to classify veracity and identify stance overlapping of rumors on twitter." Expert Systems with Applications, Volume 208, Issue 1, Pages 118175, Accepted 14 July 2022.
4. Saswata Roy, Manish Bhanu, Shruti Saxena, Sourav Dandapat, and Joydeep Chandra. "gDART: Improving rumor verification in social media with Discrete Attention Representations." Information Processing & Management, 2022, Volume 59, Issue 3, Pages 102927, Accepted 6 March 2022.
5. Manish Bhanu, Saswata Roy, Shalini Priya, João Mendes Moreira, Joydeep Chandra. "An encoder framework for taxi-demand prediction using spatio-temporal function approximation.” Engineering Applications of Artificial Intelligence, 2023, Volume 126, Issue Part A, Pages 106760, Accepted 3 July 2023.
6. Rahul Kumar, Manish Bhanu, Saswata Roy, João Mendes-Moreira, and Joydeep Chandra. “BTS-Z: A Bootstrap Zero-Shot Learning Approach for City Traffic Forecasting”. In proceedings of the 18th IEEE ANTS, 15-18 December, 2024, IIT Guwahati, India.
7. Roy, Saswata, Brijendra Kumar Suman, Joydeep Chandra, and Sourav Kumar Dandapat. "Forecasting the future: leveraging RNN based feature concatenation for tweet outbreak prediction." In Proceedings of the 7th ACM IKDD CoDS and 25th COMAD, pp. 219-223. Indian School of Business, Hyderabad Campus, 2020.
8. Bhanu, Manish, Rahul Kumar, Saswata Roy, João Mendes-Moreira, and Joydeep Chandra. "Graph Multi-Head Convolution for Spatio-Temporal Attention in Origin Destination Tensor Prediction." In Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022, Proceedings, Part I, pp. 459-471. Cham: Springer International Publishing, 2022.

Competitive Grant(s)

Faculty Development / Management Development / Workshops / Conferences