【講演概要】While big data analysis has become a very popular and powerful tool for many interesting real-life applications, analyzing big data is still very challenging today. I will present what are interesting techniques of big data analysis and how they will change our society. The techniques covered include parallel and distributed algorithms, data mining, machine learning and privacy preservation. I will also introduce briefly the Korean Institute of Information Scientists and Engineers (KIISE) which was founded in 1973.
【略歴】Kyuseok Shim is a Professor at Department of Electrical and Computer Engineering at Seoul National University, Korea. He is also currently the President of the Korean Institute of Information Scientists and Engineers (KIISE). Before that, he was an Assistant Professor at Computer Science Department of KAIST (Korea), a member of technical staff (MTS) at Bell Laboratories (Murray Hill) and a research staff at IBM Almaden Research Center (San Jose). In Bell Laboratories, he was a key contributor to the Serendip data mining project and, in IBM Almaden Research Center, he was a member of Quest Data Mining project. He visited Data Management, Exploration and Mining group in Microsoft Research as a visiting scientist in 2001 and 2002. He also worked as a summer intern mentored by Surajit Chaudhuri at Hewlett-Packard Laboratories for two summers in 1992 and 1993. He received a Ph.D under the supervision of Professor Timos Sellis in Computer Science from University of Maryland at College Park in 1993. He received B.S. degree in Electrical Engineering from Seoul National University in 1986, and MS degree in Computer Science from University of Maryland at College Park in 1988.
He became an ACM fellow and an IEEE fellow for the contributions to scalable data mining and query processing in 2013 and 2019 respectively. He was previously an Associate Editor for the IEEE TKDE, VLDB as well as PVLDB journals, and served as a Program Co-chair for PAKDD 2003, WWW 2014, ICDE 2015, APWeb 2016, BigComp 2019 and ICDM 2019 conferences. He has been serving on Program Committees of the leading database and data mining conferences including SIGMOD, SIGKDD, ICDE, ICDM, IJCAI, EDBT, VLDB, WWW and CIKM. He was a member of the VLDB Endowment Board of Trustees and a steering committee member of PAKDD as well as DASFAA conferences. He has been working in the area of data mining, data privacy, recommendation systems, query processing, query optimization and data warehousing.