Sharad Mehrotra is a Professor of Computer Science at the University of California, Irvine. His primary research interests include scalable data analytics, data cleaning, big data, distributed systems, secure databases, privacy, and Internet of Things. He currently leads a DARPA funded TIPPERS project that is building an IoT data management middleware that supports plug-n-play support for diverse privacy technologies and for scalable analytics on such data. He received his B.Tech at IIT Kanpur, India and an MS and PhD degree in Computer Science at the University of Texas, Austin, in 1993. He served as a Scientist at Matsushita Information Technology Laboratory from 1993-94 where he designed a Concurrent Text Indexing Engine. He was an Assistant Professor at the University of Illinois at Urbana Champaign from 1994-98 where he led the development of a database system, entitled MARS, that provided native support for content-based retrieval from images in databases. He has received numerous awards and honors, including the 2011 SIGMOD Best Paper Award, 2007 DASFAA Best Paper Award, 2012 SIGMOD Test of Time award, DASFAA ten year best paper awards for 2013 and 2014, ACM ICMR best paper award for 2013, IEEE NCA Best paper award for 2019, a Dean’s Award for Research in 2016, and a CAREER Award in 1998 from the US National Science Foundation (NSF).