Keynote Speakers

Professor Yoshifumi Manabe
Faculty of Informatics, Kogakuin University, Tokyo, Japan
  

Yoshifumi Manabe was born in 1960. He received his B.E., M.E., and Dr.E. degrees from Osaka University, Osaka, Japan, in 1983, 1985, and 1993, respectively. From 1985 to 2013, he worked for Nippon Telegraph and Telephone Corporation. From 2001 to 2013, he was a guest associate professor of Graduate School of Informatics, Kyoto University. Since 2013, he has been a professor of the Faculty of Informatics, Kogakuin University, Tokyo, Japan. His research interests include distributed algorithms, cryptography, game theory, and graph theory. Dr. Manabe is a member of ACM, IEEE, IEICE, IPSJ, and JSIAM.

  

Speech Title: Envy-Free Allocation of Divisible Goods

  

Abstract: Fair allocation is one of the fundamental problems in micro economics. Given a divisible good (or a set of indivisible goods), some part of the good is assigned to each person. The allocation must satisfy a fairness property, called envy-freeness, among the people. It models various real-life problems. The problem is not so easy because the utility of the good differs among people. Many researches have been done about the problem. This talk introduces the outline of envy-free allocation problems and shows several recent results about the problem.

  

Prof. Yin-Tien Wang
Department of Mechanical Engineering, Tamkang University, Taiwan
  

Yin-Tien Wang received the M.S. degree from Stevens Institute of Technology in 1988 and Ph.D. degree from University of Pennsylvania in 1992, both in mechanical engineering. He is currently a Professor with the Department of Mechanical and Electro-Mechanical Engineering, Tamkang University, New Taipei City, Taiwan, where he is in charge of Robotics and Machine Vision courses. His current interests include real-time vision localization and mapping research and the transference of this technology to robotic and nonrobotic application domains.

  

Speech Title: Visual Simultaneous Localization, Mapping, and Moving-Object Tracking (vSLAMMOT)

  

Abstract: This study presents an algorithm of robot visual simultaneous localization, mapping, and moving-object tracking (vSLAMMOT) based on estimation methods. Three major topics were investigated in the study including the moving object detection and tracking using probabilistic model, the development of visual landmark description for an environment map, and the improvement of state estimators. Firstly, the moving object detection was integrated with a pedestrian detector to set the location boundaries of image features belonged to an object. Therefore, different groups of moving features would be trained as separated moving objects. Secondly, the description of the visual landmarks was modified to ensure the robust representation of a persistent visual map. The procedures of detection, description and data association of the image feature would also be improved for processing speed and feature matching rate. Finally, two estimation methods based on filtering and non-filtering were carried out in this research to validate the performance of the developed systems.

  

  

Professor Yen-Wei Chen
Ritsumeikan University, Japan
  

Prof. 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 was a research fellow with the Institute of Laser Technology, Osaka, from 1991 to 1994. From Oct. 1994 to Mar. 2004, he was an associate Professor and a professor with the Department of Electrical and Electronic Engineering, Univ. of the Ryukyus, Okinawa, Japan. He is currently a professor with the college of Information Science and Engineering, and director of Research Center of Advanced ICT for Medicine and Healthcare, Ritsumeikan University, Japan. He is also a chair professor with the College of Computer Science, Zhejiang University, China (the Zhejiang Thousand Talents Plan). He was a visiting professor with the Oxford University, Oxford, UK in 2003 and a visiting professor with Pennsylvania State University, USA in 2010. His research interests include medical image analysis, computer vision and computational intelligence. He has published more than 300 research papers in a number of leading journals and leading conferences including IEEE Trans. Image Processing, IEEE Trans. SMC, Pattern Recognition. He has received many distinguished awards including ICPR2012 Best Scientific Paper Award, 2014 JAMIT Best Paper Award, Outstanding Chinese Oversea Scholar Fund of Chinese Academy of Science.

  

Speech Title: Artificial Intelligence and Virtual Reality in Medical Appications

  

Abstract: Artificial Intelligence (AI) and Virtual Reality (VR) have become key technologies and are playing today important roles in many academic and industrial areas. Applications of AI and VR in medicine and healthcare have received increasing attention in recent years. The AI technique has been widely used in computer-aided diagnosis (CAD) and the VR technique has been used in computer-aided surgery (CAS) such as surgery simulator. In this talk, I will introduce fundamental basis of AI for CAD and some applications of AI for diagnosis of hepatic disease. I will also introduce some applications of VR technique for support and simulations of hepatic surgery.


 

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