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Biosketch and Research Interests

Current Position: Associate Professor, Computer Science and Engineering, IIT Kharagpur.
Before joining IIT Kharagpur, I was a Scientist at Yahoo! Labs Bangalore, and a visiting scholar at the Helsinki University of Technology.

I have a Ph.D. in Computer Science from Indian Insitute of Science, Bangalore , and M.Tech. in Computer Science from I.S.I. Kolkata and a B.Tech. from I.I.T. Roorkee .

I am broadly interested in Machine Learning, with specific interests in Explainability and Data-centric AI, Multi-task Learning, Learning with Temporal Point Processes, Network Representation Learning, and Scalable Machine Learning.

I have applied these techniques on problems in Computer Vision, Information Extraction, Opinion Dynamics and Sentiment Analysis, Computational Advertising, Health Informatics, Natural Language Processing, Web and Online Social Networks.


Offering this semester (Autumn 2023): Scalable Data Mining, and Programming and Data Structures

New Preprint: Our new paper on Data-driven defense: LearnDefend: Learning to Defend against Targeted Model-Poisoning Attacks on Federated Learning.
Kiran Purohit, Soumi Das, Sourangshu Bhattacharya, and Santu Rana. at https://arxiv.org/abs/2305.02022

New paper: Accurate and Efficient Channel pruning via Orthogonal Matching Pursuit. Kiran Purohit, Anurag Parvathgari, Soumi Das, and Sourangshu Bhattacharya. In Proceedings of the Second International Conference on AI-ML Systems, pp. 1-8. 2022. Link

New Preprint: Checkout our latest paper on CheckSel: Efficient and Accurate Data-valuation Through Online Checkpoint Selection, authors: Soumi Das, Manasvi Sagarkar, Suparna Bhattacharya, Sourangshu Bhattacharya, at: https://arxiv.org/abs/2203.06814

Paper and code release: AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal Explanations. Sk Mainul Islam and Sourangshu Bhattacharya TheWebConf 2022.
Paper link
Code available at: https://github.com/mainuliitkgp/AR-BERT.git

Paper acceptance: TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving. Soumi Das, Harikrishna Patibandla, Suparna Bhattacharya, Kshounis Bera, Niloy Ganguly, and Sourangshu Bhattacharya. ICCV 2021.
Paper link

Paper acceptance: Finding High-Value Training Data Subset through Differentiable Convex Programming. Soumi Das, Arshdeep Singh, Saptarshi Chatterjee, Suparna Bhattacharya, and Sourangshu Bhattacharya. ECML 2021
Paper Link