Srikanta Bedathur

DS Chair of Artificial Intelligence

IIT Delhi

I am a professor and DS Chair Professor of Artificial Intelligence at the Department of Computer Science and Engineering at IIT Delhi. I hold a joint appointment with the YScAI - Yardi School of Artificial Intelligence and head the Amar Nath and Shashi Khosla School of Information Technology.

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

Temporal Information Modeling
Graph Data Mining and Management
Information Retrieval
Knowledge-bases - infrastructure, modelling and practical usage
Data wrangling - data integration, relationship discovery and visualization

Education

PhD, 1998-2005

IISc
BE, 1991-1995

Bangalore University

Please make an appointment based on my availability below

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

Recent Publications

More Publications

Shubham Gupta, Srikanta Bedathur. Robust Training of Temporal GNNs using Nearest Neighbour based Hard Negatives (to appear). Proc. of the ACM India Joint International Conference on Data Sciences and Management of Data (CoDS-COMAD) 2024 (11th ACM iKDD CoDS and 29th COMAD), 2024.

Shivangi Bithel, Srikanta Bedathur. Evaluating Cross-modal Generative Models using Retrieval Task (to appear, short-paper). Proc. of the 46th Intl. ACM SIGIR Conf. on Research and Development in Information Retrieval (SIGIR), 2023.

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Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta Bedathur. GRAFENNE: Continual learning on Graphs with Heterogeneous and Dynamic Feature Sets (to appear). Proc. of the 40th International Conference on Machine Learning (ICML), 2023.

Nishtha Madaan, Diptikalyan Saha, Srikanta Bedathur. Counterfactual Sentence Generation with Plug-and-Play Perturbation. Proc. of the 1st IEEE Conference on Secure and Trustworthy Machine Learning (IEEE SaTML), 2023.

Preprint

Nishtha Madaan, Adithya Manjunatha, Hrithik Nambiar, Aviral Goel, Diptikalyan Saha, Srikanta Bedathur. DetAIL : A Tool to Automatically Detect and Analyze Drift In Language. Proc. of the 35th Conference on Innovative Applications of Artificial Intelligence (AAAI/IAAI), 2023.

Preprint