Home > Academics > Academic Units > Departments > 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, opinion dynamics, computational advertising, bioinformatics, natural language processing, web and online social networks.
SPIN: A Fast and Scalable Matrix Inversion Method in Apache Spark by Misra C., Haldar S. , Bhattacharya S. , Ghosh S. K. 19th International Conference on Distributed Computing and Networking 1-10 (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)
AI/ML Techniques for Online Shopping (Parent Project) Flipkart Internet Private Limited
Property Preserving Data Gradation for Autonomous Vehicle Data HEWLETT-PACKARD (INDIA) SOFTWARE OPERATION PRIVATE LIMITED
AI/ML Techniques for Online Shopping (Sub Project II) Flipkart Internet Private Limited
Unrestricted Grant for Estimation of Product Response using Temporal Modeling of Past Events FLIPKART INTERNET PRIVATE LIMITED
Conversation Agents for Urban Navigation (Imprint-2 / Industry Part) Intel Technology India Private Limited
Conversation Agents for Urban Navigation (Imprint-2 / SERB Part) Science and Engineering Research Board (SERB)
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
Unrestricted Travel Grant Various Institutes/Organisations
Google Unrestricted Fund for Social Computing GOOGLE INDIA PRIVATE LIMTED
Unrestricted grant for research in social networks and user-generated content Dr. M Chelliah, Head, Academic Relations, Yahoo India R & D
Decoding and exploring ancient classification of Indian music through machine learning method and audience response MHRD
Chandan Misra
Area of Research: Spatial Datamining, Information Retrieval
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
Raju Mullick
Area of Research: Music Emotions and Database
Sk Mainul Islam
Area of Research: Machine Learning
