Data Science Workshop & Demonstration Day
January 19 @ 9:00 am - 5:00 pm
The Singapore Data Science Consortium will be organising its very first Data Science Workshop & Demonstration Day on Friday, 19th January 2018.
Responsible Data Science
Bernard A Galler Collegiate Professor of Electrical Engineering and Computer Science, University of Michigan
Professor Jagadish is Bernard A Galler Collegiate Professor of Electrical Engineering and Computer Science, and Distinguished Scientist at the Institute for Data Science, at the University of Michigan in Ann Arbor. Prior to 1999, he was Head of the Database Research Department at AT&T Labs, Florham Park, NJ. Professor Jagadish is well known for his broad-ranging research on information management, and has approximately 200 major papers and 37 patents. He is a fellow of the ACM, “The First Society in Computing,” (since 2003) and serves on the board of the Computing Research Association (since 2009). He has been an Associate Editor for the ACM Transactions on Database Systems (1992-1995), Program Chair of the ACM SIGMOD annual conference (1996), Program Chair of the ISMB conference (2005), a trustee of the VLDB (Very Large DataBase) foundation (2004-2009), Founding Editor-in-Chief of the Proceedings of the VLDB Endowment (2008-2014), and Program Chair of the VLDB Conference (2014). Since 2016, he is Editor of the Morgan & Claypool Synthesis Lecture Series on Data Management. Among his many awards, he won the ACM SIGMOD Contributions Award in 2013 and the David E Liddle Research Excellence Award (at the University of Michigan) in 2008.
Hybrid Transaction and Analytics Processing
IBM Fellow, IBM Almaden Research Center
Dr. C. Mohan has been an IBM researcher for 36 years in the database area, impacting numerous IBM and non-IBM products, the research and academic communities, and standards, especially with his invention of the ARIES family of database locking and recovery algorithms, and the Presumed Abort commit protocol. This IBM (1997), and ACM/IEEE (2002) Fellow has also served as the IBM India Chief Scientist for 3 years (2006-2009). In addition to receiving the ACM SIGMOD Innovations Award (1996), the VLDB 10 Year Best Paper Award (1999) and numerous IBM awards, Mohan was elected to the US and Indian National Academies of Engineering (2009), and was named an IBM Master Inventor (1997). This Distinguished Alumnus of IIT Madras (1977) received his PhD at the University of Texas at Austin (1981). He is an inventor of 50 patents. He is currently focused on Blockchain, Big Data and HTAP technologies (http://bit.ly/CMbcDB, http://bit.ly/CMgMDS). Since 2016, he has been a Distinguished Visiting Professor of China’s prestigious Tsinghua University. He has served on the advisory board of IEEE Spectrum, and on numerous conference and journal boards.
DATA SCIENCE USE CASES – SPEAKERS
Trusted Decision Marketing via Event Analytics
Professor, School of Computing, National University of Singapore
Dr. Jin Song Dong completed his PhD from University of Queensland in 1995 and worked as research scientist at CSIRO from 1995-1998. Since 1998 Jin Song has been in the School of Computing at the National University of Singapore (NUS) where he received full professorship in 2016. His research is in the areas of formal methods, model checking, semantic technology, safety & security critical systems and probabilistic reasoning. He co-founded PAT reasoning system which has attracted 3000+ registered users from 900+ organizations in 72 countries. Currently, he is the lead Investigator for Singapore-UK joint project on smart grid security and privacy (with Andrew Martin from Oxford University). He is the co-investigator of “Securify: A Compositional Approach of Building Security Verified System “, “Trustworthy systems from untrusted Components”, and Singtel-NUS Cyber Security joint lab ($42M). Jin Song is on the editorial board of ACM Transaction on Software Engineering and Methodology and Formal Aspects of Computing. He has been a Visiting Fellow at Oxford University, UK, a Visiting Professor at National Institute of Informatics, Japan and recently a research lead position at Griffith University. He has supervised 25 PhD students and many of them have become tenured faculty members in the leading universities around the world, including NTU, SUTD, HUST, Monash U, Auckland U and Tianjin U.
Data Science for Smart Nation Applications
Professor of Information Systems, Singapore Management University
Director, Living Analytics Research Centre
Prof. Lim Ee Peng is a professor at the School of Information Systems of Singapore Management University (SMU). He received Ph.D. from the University of Minnesota, Minneapolis in 1994 and B.Sc. in Computer Science from National University of Singapore. His research interests include social network and web mining, information integration, and digital libraries. He is the co-Director of the Living Analytics Research Center (LARC) jointly established by SMU and Carnegie Mellon University. He is currently an Associate Editor of the ACM Transactions on Information Systems (TOIS), ACM Transactions on the Web (TWeb), IEEE Transactions on Knowledge and Data Engineering (TKDE), Information Processing and Management (IPM), Social Network Analysis and Mining, Journal of Web Engineering (JWE), IEEE Intelligent Systems, International Journal of Digital Libraries (IJDL) and International Journal of Data Warehousing and Mining (IJDWM). He was a member of the ACM Publications Board until December 2012. He serves on the Steering Committee of the International Conference on Asian Digital Libraries (ICADL), Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD), and International Conference on Social Informatics (Socinfo).
Distributed Multi-task Relationship Learning
Assistant Professor, School of Computer Science and Engineering, Nanyang Technological University
Dr Sinno Jialin Pan is a Nanyang Assistant Professor at the School of Computer Science and Engineering at Nanyang Technological University (NTU), Singapore. Prior to joining NTU, He was a scientist and Lab Head of text analytics with the Data Analytics Department, Institute for Infocomm Research, Singapore. He received his Ph.D. degree in computer science from the Hong Kong University of Science and Technology (HKUST) in 2010. His research interests include transfer learning, and its applications to wireless-sensor-based data mining, text mining, sentiment analysis, and software engineering.
Click HERE for the programme.
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