Plenary Speakers
| The Emerging "Big Dimensionality" [Abstract] The world continues to generate quintillion bytes of data daily, leading to the pressing needs for new efforts in dealing with the grand challenges brought by Big Data. Today, there is a growing consensus among the computational intelligence communities that data volume presents an immediate challenge pertaining to the scalability issue. However, when addressing volume in Big Data analytics, researchers in the data analytics community have largely taken a one-sided study of volume, which is the "œBig Instance Size" factor of the data. The flip side of volume which is the dimensionality factor of Big Data, on the other hand, has received much lesser attention. In this talk, special focus is placed on the relatively under-explored topic of "œBig Dimensionality", wherein the explosion of features (variables) brings about new challenges to computational intelligence. We begin with an analysis on the origins of Big Dimensionality. The evolution of feature dimensionality in the last two decades is then discussed using popular data repositories considered in the data analytics and computational intelligence research communities. Subsequently, some of the state-of-the-art feature selection schemes reported in the field of computational intelligence are reviewed to reveal the inadequacies of existing approaches in keeping pace with the emerging phenomenon of Big Dimensionality. [Biography] Yew-Soon Ong is currently an Associate Professor and Director of the Center for Computational Intelligence, Director of the A*Star SIMTECH-NTU Joint Lab on Complex Systems at the School of Computer Engineering Nanyang Technological University, Singapore and Programme Principal Investigator of the Rolls-Royce@NTU Corporate Lab. He received a PhD degree on Artificial Intelligence in complex design from the Computational Engineering and Design Center, University of Southampton, United Kingdom in 2003. His current research interest in computational intelligence spans across memetic computing, evolutionary computation, machine learning and agent-based systems. He is the founding Technical Editor-in-Chief of Memetic Computing Journal, founding Chief Editor of the Springer book series on studies in adaptation, learning, and optimization, Associate Editor of the IEEE Transactions on Evolutionary Computation, the IEEE Transactions on Neural Networks & Learning Systems, IEEE Computational Intelligence Magazine, IEEE Transactions on Cybernetics, Soft Computing, International Journal of System Sciences and others. He has coauthored over 120 refereed publications and his research grants in the last five years amounts to a total of more than 25 million Singapore dollars. These comprises of research funding from both national and international partners that includes the Singapore National Grid Office, A*STAR, Singapore Technologies Dynamics, Boeing Research & Development (USA), Rolls-Royce Singapore and Honda Research Institute Europe (Germany), National Research Foundation and Media Development Authority- Singapore-MIT GAMBIT Lab. Presently, he Chairs the IEEE Computational Intelligence Society Intelligent Systems and Applications Technical Committee. His research work on Memetic Algorithm was featured by Thomson Scientific's Essential Science Indicators as one of the most cited emerging area of research in August 2007. Recently, he also received the 2014 IEEE Computational Intelligence Magazine Outstanding Paper Award and the 2012 IEEE Transactions on Evolutionary Computation Outstanding Paper Award for his work pertaining to Memetic Computing. In teaching, he has also received teaching awards including the Nanyang Excellence Award for Teaching in 2008, Most Popular Lecturer Award 2009, and recently invited as Fellow of Renaissance Engineering Programme at Nanyang Technological University. |
| Opportunities for ICT an ETP perspective [Abstract] The Economic Transformation Programme has been in place for more than three years since 2011. Coming into its 4th year, the ETP has gained significant impact on the economy which will be shared in detail as evidence. However, the question on ICT continues vis-à -vis in the context of ETP. Malaysia being a country that has a mature ICT ecosystem has been a strong user of ICT. The strategy that needs to be addressed is what will the focus be for ICT now? The ETP has shown that focus on the strong qualities of an industry generates better success rates, though less sexy from a pioneering perspective. As a user, can Malaysia refocus on generating opportunities in areas that are economically stronger and has the potential to grow globally? This paper attempts to elucidate the huge potential of ICT use in a new industry that has seen tremendous growth as a result of ETP whilst maintaining the need to continue the growth in traditional industries. [Biography]TBA. |
| ETP The ICT Opportunities for Businesses and Researchers [Abstract] The Economic Transformation Programme (ETP) is part of the National Transformation Programme, launched in September 2010. The ETP objectives are achieved through the implementation of 12 National Key Economic Areas. Amongst the NKEAs, ICT is most prominent in NKEA Communications Content and Infrastructure. This NKEA looks at serving tomorrow‘s usage of ICT, pushing boundaries within typical industries such as healthcare, education and government, and enhancing the foundation to support utilization of ICT. This session focuses on the ICT opportunities within the ETP specifically NKEA CCI and other areas such as big data analytics. [Biography]TBA. |
| Establishing A Big Data-driven and Analytic Culture in Public Service [Abstract] TBA. [Biography]TBA. |
| Software Testing in Public Sector [Abstract] TBA. [Biography]TBA. |
| Enhancing Service Delivery in Public Sector Through Big Data Analytic - BDA Initiative [Abstract] TBA. [Biography]TBA. |