Sayan Ranu

Sayan Ranu

Professor at Department of Computer Science and Eng.

IIT Delhi

Sayan Ranu holds the joint positions of Nick McKeown Chair Professor at the Department of Computer Science and Eng. and the Yardi School of AI at IIT Delhi. His research interests span the broad area of machine learning and data mining for graphs. Sayan obtained his PhD from the Department of Computer Science, University of California, Santa Barbara (UCSB) in March 2012. Sayan has received several awards and recognitions including ACM India Early Career Researcher Award, Honorable Mention, 2024, Indian National Science Academy (INSA) Associate Fellowship 2023, Mrs. Veena Arora Early Career Faculty Research Award of IIT Delhi 2023, Associate of the Indian Academy of Sciences (IASc) 2020, Teaching Excellence Award 2025, and most reproducible paper award at SIGMOD 2018. Sayan regularly serves in the program committees and review panels of prestigious conferences and journals and has been awarded Outstanding Reviewer Awards at WSDM 2021, VLDB 2022, ICLR 2024 and KDD 2025. Sayan has been granted 5 US patents. Sayan’s dissertation on graph based techniques for querying and mining molecular databases served as the seed idea behind a life science based R&D start-up focusing on advanced technology for drug discovery.

Managing and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance

Read More

Managing and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance

Read More