Srikanta Bedathur

DS Chair of Artificial Intelligence

IIT Delhi

I am an associate professor and DS Chair Professor of Artificial Intelligence at the Department of Computer Science and Engineering at IIT Delhi. I am also closely associated with the Amar Nath and Shashi Khosla School of Information Technology and the newly formed ScAI - School of Artificial Intelligence.

I have previously worked as a research scientist at IBM Research as part of their AI Research team, as a faculty member at IIIT Delhi, and senior researcher at the Max-Planck Institute for Informatics (MPII) with Gerhard Weikum. My PhD (2005) was from the Indian Institute of Science where I worked with Jayant Haritsa.

Interests

Large-scale graph data management
Influence Propagation and Community Formation on Location- and Activity-based Social Networks
Knowledge-bases - infrastructure, modelling and practical usage
Data wrangling - data integration, relationship discovery and visualization
Information Retrieval using KB and neural models

Education

PhD, 1998-2005

IISc
BE, 1991-1995

Bangalore University

On Summer/Winter Internship Requests

I am NOT offering any short-term projects for internships and I do not have the bandwidth to respond to requests about summer or winter internships. If you are interested in working with me, I recommend you apply for a short-term employment in one of my projects, or join the B.Tech./M.Tech./Ph.D. programs in IIT-Delhi.

Calendar

Please make an appointment based on my availability below

Working Hours: 9:30AM - 12:30PM; 2:00PM - 5:30PM

Recent Publications

More Publications

Komal Chauhan, Kartik Jain, Sayan Ranu, Srikanta Bedathur, Amitabha Bagchi. Answering Regular Path Queries through Exemplars(to appear). PVLDB, 2022.

Vaibhav Adlakha, Parth Shah, Srikanta Bedathur, Mausam. Regex Queries over Incomplete Knowledge Bases. Proc. of the 3rd Conference on Automated Knowledge Base Construction (AKBC), 2021.

Vinayak Gupta, Srikanta Bedathur. Region-Invariant Normalizing Flows for Mobility Transfer (short-paper, to appear). Proc. of the 30th ACM Intl. Conference on Information and Knowledge Management (CIKM), 2021.

Preprint

Garima Gaur, Abhishek Dang, Arnab Bhattacharya, Srikanta Bedathur. Computing and Maintaining Provenance of Query Result Probabilities in Uncertain Knowledge Graphs (to appear). Proc. of the 30th ACM Intl. Conference on Information and Knowledge Management (CIKM), 2021.

Preprint

Siddhant Arora, Vinayak Gupta, Garima Gaur, Srikanta Bedathur. BERT Meets Relational DB: Contextual Representations of Relational Databases. CoRR, 2021.

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Arindam Bhattacharya, Sumanth Varambally, Amitabha Bagchi, Srikanta Bedathur. Fast One-class Classification using Class Boundary-preserving Random Projections. Proc. of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021.

Preprint

Saransh Goyal, Pratyush Pandey, Garima Gaur, Subhalingam D, Srikanta Bedathur, Maya Ramanath. Tracking entities in technical procedures -- a new dataset and baselines. CoRR, 2021.

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