Keynote Speakers

 Keynote Speakers 1:

Prof. Gary Tan
School of Computing, National University of Singapore

Gary Tan is an Associate Professor in the Department of Computer Science, School of Computing at the National University of Singapore. He is also a Vice Dean of Student Life at the school. He received his B.Sc (1st class Honours) from NUS, and his M.Sc and Ph.D from the University of Manchester , U.K.

“Crisis Management Simulation – Hindsight, Foresight and Symbiosis”

Symbiotic simulation is a promising new technique for providing “What-If?” analysis of systems in real-time. This kind of decision-support tool is exactly what crisis management
needs to enable a modern approach to managing crises through information superiority. Unfortunately, no tools at present focus on integrating the decision-support aspect of crisis management with the hindsight and foresight studies that comprise its remaining parts. In this talk, I will present a conceptual overview of a “perennial” framework for crisis management, and will conclude with a summary of implementation case studies, such as for evacuation, and traffic management. This framework acknowledges cutting-edge simulation techniques such as virtual worlds, and provides an excellent way of creating crisis management simulations to maximum effect.


Keynote Speakers 2:

Prof. Yun Bae Kim
School of Engineering, Sungkyunkwan University, Korea
Yun Bae KIM is a Professor in the Department of Systems Management Engineering, School of Engineering at the Sungkyunkwan University of Korea. He is also a Vice President of General Affairs and Academics, Athletic Director, and the Head of Department of Smart Factory. He received his B.Eng from SKKU, his M.Sc from the University of Florida, U.S. and Ph.D from the Rensselaer Polytechnic Institute, U.S.

“Pandemic Disease Simulation – Close Co-work is called to Predict and Prevent in Asia”

The spread of diseases caused by highly pathogenic influenza such as the Middle East Respiratory Syndrome (MERS) and avian influenza is threatening to cause a human pandemic of potentially devastating proportions and also inflicting significant socioeconomic problems. Agent-based disease diffusion model that reflects not only the nature of the disease, but also the structural and statistical characteristics of region’s population is used to investigate the effectiveness of targeted antiviral prophylaxis, quarantine, and pre-vaccination in containing an emerging influenza strain at the source(Suwon, Korea). Asian cities with very condensed population, such as Hong Kong, Shanghai, Tokyo, and Seoul are fragile to these pandemic. A close co-work is needed for a systematic analysis of disease spread patterns.


Keynote Speakers 3:

Prof. Yen-Wei Chen
College of Information Science and Engineering,
Ritsumeikan University, Japan
Yen-Wei Chen received the B.E. degree in 1985 from Kobe Univ., Kobe, Japan, the M.E. degree in 1987, and the D.E. degree in 1990, both from Osaka Univ., Osaka, Japan. He is currently a professor with the college of Information Science and Engineering, Ritsumeikan University, Japan. He is also a visiting professor with the College of Computer Science, Zhejiang University, China. He was a visiting researcher with the Oxford University, Oxford, UK in 2003 and a visiting professor with Pennsylvania State University, USA in 2010.

“Deep Learning for Medical Image Analysis”

Deep learning (DL) is one of key techniques of Artificial Intelligence (AI) and is playing today an important role in many academic and industrial areas. DL means using a neural network with many layers (deep structure) between input and output and DL can learn data-driven, highly representative and hierarchical features. DL can be used to model or simulate an intelligent system or process by the use of annotated training data (pairs of input and output). Recently, DL is widely used in medical applications, such as anatomic modeling (segmentation of anatomical structures), tumor detection, computer-aided diagnosis and surgical planning. In this keynote, I will talk about current progress and futures of deep learning and other machine learning for medical image analysis and medical applications. I will also introduce some research results and achievements in Research Center of Advanced ICT for Medicine and Healthcare, Ritsumeikan University, Japan.


Keynote Speakers 4:

Prof. Lin Zhang
School of Automation Science and Electrical Engineering,
Beihang University
Lin Zhang is a professor of Beihang Unversity, China. He received the B.S. degree in 1986 from Nankai University, China, the M.S. and the Ph.D. degree in 1989 and 1992 from Tsinghua University, China. From 2002 to 2005 he worked at the Naval Postgraduate School as a senior research associate of the US National Research Council, USA.

“Modeling & Simulation Technology in Manufacturing”

With the continuous deepening of applications of information technology in the manufacturing field, the informatization of manufacturing systems is developing from unit digitalization to networked integration, and then to the new generation intelligence. As a comprehensive information technology that integrates computer science, model theories, and scientific computing, modeling & simulation technology plays an irreplaceable role during the development of manufacturing informatization and is widely applied in all phases of the whole product lifecycle, such as design, manufacturing, testing, maintenance, purchase, sales and other phases. This talk will review and summarize the research and applications of M&S technology in manufacturing, and analyze typical simulation techniques in manufacturing from aspects of manufacturing unit simulation, manufacturing integrated simulation and manufacturing intelligent simulation. The development trend and challenges of manufacturing simulation technology will be prospected.