Sayan Ranu



May, 2024: Delighted to have a presence in KDD!

Our work on neural graph partitioning to jointly encode topology and features will appear in KDD2024.

ICLR hattrick!:

We will be presenting three papers spanning graph distillation, GNN explainers and learning brownian dynamics using GNNs.

Paper Alert!:

Generative AI for graphs has been a vibrant area of research. Yet, little attention has been paid to generative modeling under data scarcity. Not any more! Introducing GShot, which will appear in LOG 2023.

NeurIPS 2023!:

Our work on tracking pollution data, led by Rijurekha Sen, will appear at NeurIPS 2023!

Sept, 2023:

Honored and delighted to be recognized as an Indian National Science Academy (INSA) Associate Fellow.

June, 2023:

Delighted to receive Google research scholar award 2023 with Anoop for "Reinforcement Learning on Rough Landscapes for Materials Discovery". Thank you Google! We are the only team from India to receive the award this year.

I hold the joint positions of Nick McKeown Chair Associate Professor at the Department of Computer Science and Eng. and the Yardi School of AI at IIT Delhi. My research interests span the broad area of network science with particular focus on graph neural networks and spatio-temporal data analytics. The tag-cloud of my paper abstracts from last five years provides an accurate representation of my current research interests.

I graduated from the Computer Science department of University of California, Santa Barbara in March, 2012 under the supervision of Prof. Ambuj Singh. Prior to joining IIT D, I worked as Assistant Professor at IIT Madras for close to three years and at IBM Research, Bangalore for a year and a half.

Internships: I am NOT offering any short-term projects. My apologies if I don't respond to your email.


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