A Tutorial is proposed by experts on Friday the 26 February 2016 at the conference as an extra activity (event full):
Tutorial on Big Data & Data Analytics
Speakers: Dr. See Kiong Ng (Program Director, Urban Systems Initiatives, Agency of Science, Technology and Research A*STAR) with 5 other experts
Date and Time: Friday the 26 February 2016 – 13:30-17:00
Location: Think Tank 16 of the Building 2 - Singapore University of Technology and Design, SUTD
Participants: for registered persons only. Please select while registering on the http://www.2016.csdm-asia.net/-Regi...
- 13:30-14:00 - Stories that Data Tells : Use Cases of Big Data and Analytics by Shonali Krishnaswamy (Data Analytics Department, Institute for Infocomm Research, A*STAR)
- 14:00-14:30 - Learning from Big Data: New Machine Learning Paradigms, by Shaowei Lin (Sense & Sense-abilities Department, Institute for Infocomm Research, A*STAR and SUTD)
- 14:30-15:00 - Computing on Big Data: Architectures and Algorithms by Artur Andrzejak (Heidelberg University)
15:00-15:30 - Coffee break
- 15:30-16:15 - Developing a Big Data and Analytics Platform for Smart Cities – A*DAX by Wee Siong Ng (Urban Systems Initiative, Institute for Infocomm Research, A*STAR)
- 16:15-17:00 - Robustness in Decision-Making in Uncertainty, contributed by Professor Karthik Natarajan (SUTD)
Photo and Biography of Dr. See Kiong Ng
See-Kiong NG (Ph.D., Carnegie Mellon University) is the Programme Director of the Urban Systems Initiative by the Science and Engineering Research Council of the Agency of Science, Technology and Research (A*STAR). The Initiative seeks to address the new challenges of the rapidly urbanising world through smart city technologies and innovations. See-Kiong has a long-standing interest in cross-disciplinary applied research in computer science. See-Kiong started his research career as one of the early bioinformaticians. He has since been able to apply what he had learned from bioinformatics to a wide array of other application domains. From using data mining to better understand the biology of the human body, See-Kiong is now using big data approaches to understand the systems biology of complex human cities and the internet of things. He has published widely, with more than 100 papers in leading peer-reviewed journals and conferences.