Keynote Speakers



Stephen John Turner is Expert / Professor in the Computer Engineering Department at King Mongkut's University of Technology Thonburi (Thailand). He was Professor of Computer Science in the School of Computer Engineering at Nanyang Technological University (Singapore) until 2015, having joined the University as an Associate Professor in 2000. During that time, he was Director of the Parallel and Distributed Computing Centre and subsequently Head of the Networks and Distributed Systems Division. He currently teaches courses in Simulation and Modeling, GPU Computing, Computer Architecture and Operating Systems.

He received his MA in Mathematics and Computer Science from Cambridge University (UK) and his MSc and PhD in Computer Science from Manchester University (UK). He is a Chartered IT Professional and Chartered Engineer (UK). His current research interests include: Complex Systems, Agent-Based Simulation, Parallel and Distributed Simulation, High Performance Computing, and Cloud Computing. He has published around 300 research papers in these areas and has received a number of best paper awards at international conferences for his research.


Agent-Based Simulation on GPU Architectures:
Agent-based simulation has become increasingly important in recent years as a way of analyzing complex systems. A complex system is composed of many connected and interacting components (agents), e.g. biological systems, social systems, weather systems, etc. To understand such systems, we must understand not only the behaviour of individual agents, but also how they interact, and how they act together as a whole. Speed of execution is thus a fundamental issue in agent-based simulation, as the number of agents and the complexity of their behavior increases. Massively parallel processors, such as graphics processing units (GPU), can provide a solution to this problem.

This talk will start with a brief introduction to agent-based models and the motivation of using GPU architectures for their simulation. This will be followed by an overview of the main features of the GPU and how these features affect performance considerations. Some case studies will be presented, including the simulation of information propagation over complex networks on both single and multi-GPU architectures. Performance results will be given showing the benefits of using GPU, and performance issues discussed, including factors that can limit the speed up obtained.

An important part of agent-based simulation is parameter space exploration. This can be used to evaluate different strategies, as well as for sensitivity analysis and model calibration. Parameter space exploration involves the execution of multiple simulation instances, each evaluating a different parameter configuration. Cloning is a technique that can significantly speed up the exploration task by sharing the execution paths of different simulation instances in a parallel execution. This talk will briefly discuss the efficient cloning of agent-based simulations and how this can further exploit the massive parallelism of GPU architectures.



Prof. Dr. Tharek A. Rahman currently is a professor in wireless communication at faculty of electrical engineering, Universiti Teknologi Malaysia. He obtained his BSc (Hons) (Electrical Engineering) from University of Strathclyde, UK , MSc in Communication Engineering from UMIST, Manchester, UK and PhD in Mobile Communication from University of Bristol, UK. He is the Director of Wireless Communication Centre (WCC), Faculty of Electrical Engineering, Universiti Teknologi Malaysia and currently conducting research related to mobile communications, antenna and propagation. He has also conducted various short courses related to mobile and satellite communication to the telecommunication industry and government agencies since 1988. Prof. Tharek has published more than 300 scientific papers in journals and conferences and obtained many national and international awards. He is also a consultant for many communication companies and an active member in several research academic entities.


Title : Evolution towards 5G