Home > Academics > Academic Units > Faculty of Engineering and Architecture (FoE&A) > Computer Science and Engineering > Sourangshu Bhattacharya
Assistant Professor Grade-I
Computer Science and Engineering
I am broadly interested in machine learning, with specific interests in deep multi-task learning, learning with temporal point processes, and network representation learning. I am also interested in scalable and distributed machine learning, e.g. sketches and coresets. I have applied these techniques on problems in information extraction, computer vision, natural language processing, web and e-commerce, computational advertising, bioinformatics, online social networks.
Stark: Fast and Scalable Strassen's Matrix Multiplication using Apache Spark by Misra C., Bhattacharya S. , Ghosh S. K. IEEE Transactions on Big Data 1-12 (2020)
Multi-criteria online frame-subset selection for autonomous vehicle videos. by Das S., Mandal S. , Bhoyar A. , Bharde M. , Ganguly N. , Bhattacharya S. , Bhattacharya S. Pattern Recognition Letters 133 349-355 (2020)
Learning Linear Influence Models in Social Networks from Transient Opinion Dynamics by De A., Bhattacharya S. , Bhattacharya P. , Ganguly N. , Chakrabarti S. ACM Transactions on the Web (TWEB) 13 1-33 (2019)
Explaining Perceived Emotion Predictions in Music: An Attentive Approach by Chaki S., Doshi P. , Bhattacharya S. , Patnaik P. ISMIR Conference - (2020)
Scalable Backdoor Detection in Neural Networks. by Harikumar H., Lee V. , Rana S. , Bhattacharya S. , Gupta S. , Venkatesh S. ECML PKDD - (2020)
Demarcating Endogenous and Exogenous Opinion Diffusion Process on Social Networks by De A., Bhattacharya S. , Ganguly N. The Web Conference 549-558 (2018)
Shaping Opinion Dynamics in Social Networks by De A., Bhattacharya S. , Ganguly N. International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 1336-1344 (2018)
Task-Specific Representation Learning for Web-scale Entity Disambiguation. by Kar R., Reddy S. , Bhattacharya S. , Dasgupta A. , Chakrabarti S. AAAI conference on Artificial Intelligence - (2018)
Property Preserving Data Gradation for Autonomous Vehicle Data HEWLETT-PACKARD (INDIA) SOFTWARE OPERATION PRIVATE LIMITED
Unrestricted grant for research in social networks and user-generated content Dr. M Chelliah, Head, Academic Relations, Yahoo India R & D
Understanding and Predicting Opinion Dynamics In Collective Environment Using Deep Network Representation CISCO University Research Program Fund
Learning Representations from Network Data INTEL TECHNOLOGY INDIA PRIVATE LIMITED
AI/ML Techniques for Online Shopping (Parent Project) Flipkart Internet Private Limited
AI/ML Techniques for Online Shopping (Sub Project II) Flipkart Internet Private Limited
Deep Reinforcement Learning based Design of Incentive Schemes for Fairness Promotion Intel Technology India Private Limited
Data-centric Trusted Al through Scalable Data Subset Selection Hewlett-Packard (India) Software Operation Private Limited
Unrestricted Travel Grant Various Institutes/Organisations
Google Unrestricted Fund for Social Computing GOOGLE INDIA PRIVATE LIMTED
Sanga Chaki
Area of Research: Computational Musicology
Soumi Das
Area of Research: Machine Learning, Networks
Rajdeep Mukherjee
Area of Research: Web Mining
Paramita Koley
Area of Research: Machine Learning, Network Science
Kiran Purohit
Area of Research: Machine Learning, Computer Vision
Saurabh Singh
Area of Research: Scalable Machine Learning
Sk Mainul Islam
Area of Research: Machine Learning
