Tutorial

Government agencies, businesses, and individuals are increasingly being flooded with data regularly. Advancements in information and communication technologies have allowed us to generate, capture, and store vast quantities of data rapidly and easily. However, raw data by themselves are not very useful. To turn data into the “new gold” in this era of data, information and knowledge, we need the computer to not only assist us in managing and digesting data from diverse sources, but also help us summarize the big data into useful information and even uncover new knowledge that were hidden, so that we can use data to help predict future trends and make informed decisions in this highly complex world that we live in. In this tutorial, we will first share real-world use cases of big data and analytics, and then describe how computers can now be taught to learn to become more intelligent with the availability of big data as a resource for machine learning. This is followed by an introduction on some of the key architectures and algorithms that for enabling computation on big data. Finally, we share our experience in developing a big data and analytics platform for smart cities. Presenting 5 subject matter experts sharing a wide range of topics, the tutorial program will be:

• 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.