Rate My Professor Divyakant Agrawal

Agrawal's research expertise encompasses database systems, distributed computing, data warehousing, and large-scale information systems. His current focus includes scalable data management and data analysis in cloud computing environments, security and privacy of data in the cloud, and scalable analytics over social networks data and social media. His research group has developed innovative storage architectures in the cloud that provide transactional and strong consistency guarantees for managing big data, along with algorithms to limit misinformation campaigns in social networks, model user adoption behavior, and report dominant information trends in structural and geographical contexts. He has published more than 350 research manuscripts in prestigious journals, conferences, symposia, and workshops on topics related to data management and distributed systems, and has advised more than 35 doctoral students. Agrawal's contributions to the field are evidenced by major awards, including the 2026 ACM SIGMOD Contributions Award for outstanding service through community initiatives and leadership as Chair of ACM SIGMOD from 2021 to 2025, IEEE Fellow (2012), ACM Fellow (2012), ACM Distinguished Scientist (2010), Outstanding Graduate Mentor from UCSB Academic Senate (2011), Best Paper Award at the IEEE International Conference on Data Engineering (2002), and William Mong Fellow at the University of Hong Kong (2012).