Towards Ubiquitous Big Data Analytics and Management: Research Issues and Challenges
- Hiroyuki Kitagawa
- Professor, University of Tsukuba, Japan
Hiroyuki Kitagawa received the B.Sc. degree in physics and the M.Sc. and Dr.Sc. degrees in computer science, all from the University of Tokyo, in 1978, 1980, and 1987, respectively. He joined Institute of Information Sciences and Electronics, University of Tsukuba, in 1988. He is currently a full professor at Center for Computational Sciences, University of Tsukuba. His research interests include databases, data integration, stream processing, data mining, social media mining, information retrieval, and scientific databases. He is an IEICE Fellow, an IPSJ Fellow, and an Associate Member of the Science Council of Japan. Before joining University of Tsukuba, he was a research staff member in NEC Corporation, Tokyo. He was a visiting scholar of University of Maryland from 1984 to 1985, and of Carnegie Mellon University from 2001 to 2002. He served as Provost of Graduate School of Systems and Information Engineering, University of Tsukuba from April 2015 to March 2018, President of the Database Society of Japan from May 2014 to May 2016, Chairperson of the IEICE Special Interest Group on Data Engineering from May 1999 to May 2001, Chairperson of ACM SIGMOD Japan Chapter from June 2003 to June 2007. He is a member of ACM, IEEE, and JSSST.
Programmable matter: forming objects with modular robots
- Julien Bourgeois
- Professor, Head of Department of Computing, Univ. Bourgogne-Franche-Comté, Institut FEMTO-ST, CNRS, France
Julien Bourgeois is a professor of computer science at the University of Bourgogne Franche-Comté (UBFC) in France. He is leading the computer science department at the FEMTO-ST institute/CNRS. His research interests include distributed intelligent MEMS (DiMEMS), Programmable Matter, P2P networks and security management for complex networks. He has worked for more than 15 years on these topics and has co-authored more than 140 international publications. He was an invited professor at Carnegie Mellon University (US) from September 2012 to August 2013, at Emory University (US) in 2011 and at Hong Kong Polytechnic University in 2010, 2011 and 2015. He led different funded research projects (Smart Surface, Smart Blocks, Computation and coordination for DiMEMS). He is currently leading the programmable matter project funded by the ANR and the ISITE-BFC project. He has also worked in the Centre for Parallel Computing at the University of Wetsminster (UK) and in the Consiglio Nazionale delle Richerche (CNR) in Genova. He collaborated with several other institutions (Lawrence Livermore National Lab, Oak Ridge National Lab, etc.). He organized and chaired many conferences (dMEMS 2010, 2012, HotP2P/IPDPS 2010, Euromicro PDP 2008 and 2010, IEEE GreenCom 2012, IEEE iThings 2012, IEEE CPSCom 2012, GPC 2012, IEEE HPCC 2014, IEEE ICESS 2014, CSS 2014, IEEE CSE 2016, IEEE EUC 2015, IEEE ATC 2017, IEEE CBDCom 2017). He is also acting as a consultant for the French government and for companies.
Data Science for Big Data Applications and Services
- Carson Leung
- Professor, University of Manitoba, Canada
Carson Leung is currently a Full Professor at the University of Manitoba, Canada. He obtained his BSc(Hons), MSc and PhD from the University of British Columbia, Canada. He has published more than 200 papers on the topics of databases, data mining, big data computing, social network analysis, as well as visual analytics--including papers in ACM Transactions on Database Systems (TODS), Social Network Analysis and Mining (SNAM), Future Generation Computer Systems (FGCS), Journal of Organizational Computing and Electronic Commerce (JOCEC), IEEE International Conference on Data Engineering (ICDE), IEEE International Conference on Data Mining (ICDM), and Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). Over the past few years, he has served as (i) a General Chair of IEEE CBDCom 2016 and IEEE SmartData 2018, (ii) a Program Chair of IEEE HPCC 2016 and BigDAS 2017, (iii) an organizing committee member of ACM SIGMOD 2008, IEEE ICDM 2011, IEEE/ACM ASONAM 2014, IEEE BigComp 2017 and ACM CIKM, as well as (iv) a PC member of numerous international conferences including ACM KDD and ECML/PKDD. He is a Senior Member of both ACM and IEEE.
Social Network Analysis in Big Data Era
- Chaokun Wang
- Professor, Tsinghua University, China
Dr. Chaokun Wang received the B.Eng. degree in computer science and technology, the M.Sc. degree in computational mathematics and the Ph.D. degree in computer software and theory in 1997, 2000 and 2005, respectively, from Harbin Institute of Technology, China. He joined the faculty of School of Software at Tsinghua University in 2006, where currently he is a Tenured Associate Professor. Dr. Wang has published over 90 refereed papers in major journals and conferences including IEEE TKDE, IEEE TSIPN, IEEE TIP, PVLDB, SIGMOD, SIGIR, WWW, ACM Multimedia, AAAI, and IJCAI. He got three best paper awards at international conferences, and held 16 patents. His current research interests include social network analysis, graph data management, and big data systems. He is a member of IEEE, a member of ACM, and a member of AAAI.
Utilizing Explainable Artificial Intelligence for Power and Energy
- Ho-Jin Choi
- Professor, KAIST, Korea
Prof. Ho-Jin Choi is currently a professor in the School of Computing at KAIST. In 1982 he received a BS in Computer Engineering from Seoul National University, in 1985 an MSc in Computing Software and Systems Design from Newcastle University, UK, and in 1995 a PhD in Artificial Intelligence from Imperial College London, UK. From 1982 to 1989 he worked as a research engineer for DACOM Inc., Korea, and between 1995 and 1996 as a post-doctoral researcher at Imperial College London. From 1997 to 2002 he was a faculty member at Korea Aerospace University, and from 2002 to 2009 for Information and Communications University (ICU), Korea, before joining KAIST. In the years 2001 and 2002 he was a visiting professor for the Institute of Software Research at Carnegie Mellon University, then between 2003 and 2010 he served as an adjunct professor of Carnegie Mellon University for the program of Master of Software Engineering (MSE). Between 2006 and 2008 he served as the Director for IT-gifted Youth Education Center at ICU. Recently in March 2018, he was appointed as the Director for Smart Energy Artificial Intelligence Research Center at KAIST, sponsored by Korea Electric Power Corp (KEPCO). His research interests include artificial intelligence, machine learning, natural language processing, and knowledge engineering.