Sayan's bio

Sayan Ranu holds 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. His research interests span the broad area of machine learning and data mining for graphs. Prior to joining IIT Delhi, he spent close to three years as an Assistant Professor at IIT Madras and a year and a half in the role of a Research Scientist at IBM Research. He obtained his PhD from the Department of Computer Science, University of California, Santa Barbara (UCSB) in March 2012. In 2020, Sayan was inducted as an Associate of the Indian Academy of Sciences (IASc). He regularly publishes in premier data science venues including NeurIPS, WWW, SIGMOD, VLDB, and KDD. He received the Best Paper Award at the International Conference on Web Information Systems Engineering (WISE) 2016, Best-of-IEEE-ICDM-2016 selection, 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 and VLDB 2022. 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. Sayan maintains his social footprint in his LinkedIn profile as well as his IIT D homepage.