Sourav S. Bhowmick is an Associate Professor in the School of Computer Science and Engineering (SCSE) at Nanyang Technological University. He leads the data management research group (DANTe) in SCSE. His research has appeared in top-tier venues in data management and analytics such as SIGMOD, VLDB, VLDB Journal, TKDE, WWW, and KDD. Sourav has been keynote and tutorial speaker for several international conferences including SIGMOD and VLDB. He has received Best Paper Awards at ACM CIKM 2004 and ACM BCB 2011 for papers related to evolution mining and biological network summarization, respectively. His work on influence maximization was nominated for the best paper award in ACM SIGMOD 2015. Sourav has served as a PC member of premium data management and data mining conferences (e.g., SIGMOD, VLDB, KDD) and a reviewer for various premium journals (e.g., VLDB Journal).Byron Choi is an Associate Professor in the Department of Computer Science at Hong Kong Baptist University (HKBU). He obtained his Ph.D in Computer and Information Science from the University of Pennsylvania in 2006. His research interests include graph-structured databases, database usability, and database security. Byron's publications have appeared in premium venues such as TKDE, VLDBJ, SIGMOD, and VLDB. He has served as a program committee member or reviewer of premium conferences and journals including PVLDB, VLDBJ, TKDE and TOIS. He has served as the director of a Croucher Foundation Advanced Study Institute (ASI), titled ""Frontiers in Big Data Graph Research"" in 2015. He was a recipient of the HKBU President's Award for Outstanding Young Researcher in 2016.
Chengkai Li is an Associate Professor in the Department of Computer Science and Engineering at the University of Texas at Arlington. He received his Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign in 2007. Chengkai's research interests are in database, data mining, web data management, and natural language processing. He is conducting research on computational journalism, crowdsourcing and human computation, data exploration by ranking (top-k), skyline and preference queries, database testing, entity query, and usability challenges in querying graph data. Chengkai's papers have appeared in prestigious database, data mining, and web conferences (e.g., SIGMOD, VLDB, CIDR, KDD, WWW, WSDM) and journals (e.g., TODS, TKDD, TKDE). He has served as General Co-Chair and Program Co-Chair of IEEE IPCCC, and he has also served on the organizing committee of SIGMOD. He served on the program committees of premier conferences (e.g., SIGMOD, VLDB, KDD, WWW, IJCAI). He has also been a reviewer for prestigious journals (e.g., TODS, TOIS, TKDE, VLDB Journal). Chengkai is a recipient of the 2011 and 2012 HP Labs Innovation Research Award.
