APE Weekly Seminar Outside Speaker Biographies - Spring 2002

(About J.C Chun)

1995.3 -currently, Associate Professor at Department of Computer Science, Kyonggi University, Korea
Principal Investigator of Computer Graphics & Image processing Lab. at Kyonggi University.
Visiting scholar at PRIP with Dr. Stockman until January, 2001
Major Research Area: Medical Image Analysis and Modeling., Content-Based Image Retrieval
Received Ph.D from the University of Connecticut, 1995.

Keechul Jung received the BS degree in Computer Engineering from Kyungpook National University, Korea, in 1994, and MS degree and Ph.D. degree from the same university, in 1996 and 2000, respectively.

He received the 'Grants for Doctoral Candidates' funded by Korea Research Foundation (KRF), in 1999. He worked as a visiting researcher in the `Intelligent User Interfaces' group at DFKI(The German Research Center for Artificial Intelligence, GmbH), Germany, in 1999, and worked as a visiting researcher in the Machine Understanding Division, ElectroTechnical Laboratory in Japan, 2000.

He is currently a visiting scholar at the PRIP lab., Michigan State University.

Ronald C. Arkin received his Ph.D. in Computer Science from the University of Massachusetts, Amherst after which he joined the College of Computing at the Georgia Institute of Technology. He holds the rank of Professor and is the Director of the Mobile Robot Laboratory. Dr. Arkin's research interests include behavior-based control and action-oriented perception for mobile robots and unmanned aerial vehicles, hybrid deliberative/reactive software architectures, robot survivability, multiagent robotic systems, biorobotics, human-robot interaction, and learning in autonomous systems. Prof. Arkin has written a textbook entitled Behavior-based Robotics and co-edited a book entitled Robot Colonies. Funding sources have included NSF, DARPA, U.S. Army, Savannah River Technology Center, Honda, Draper Labs, SAIC, and ONR. Dr. Arkin serves/served on the Editorial Boards of IEEE Intelligent Systems, Environmentally Conscious Manufacturing, Autonomous Robots, Machine Intelligence and Robotic Control, and Applied Intelligence. He is the Series Editor for the MIT Press book series Intelligent Robotics and Autonomous Agents. He also is a consultant for several major companies in the area of intelligent robotic systems. Prof. Arkin currently serves on the Administrative Committee of the IEEE Robotics and Automation Society and on the National Science Foundation's Robotics Council.

Prof. Rama Chellappa received his Ph.D. degree from Purdue University in 1981. During 1981-1991, he was an assistant and associate professor at University of Southern California and served as the Director of Signal and Image Processing Institute during 1988-1990. Since 1991, he has been a Professor of Electrical and Computer Engineering Department and an affiliate Professor of Computer Science Department at University of Maryland. In July 2001, he became the Director of Center for Automation Research as well as a Permanent member of the Institute for Advanced Computer Studies. He has published numerous papers in image processing, analysis and understanding. Professor Chellappa has received several awards including the NSF PYI Award, the IBM Faculty Development Award, Excellence in Teaching Award, the IEEE Signal Processing Society Technical Achievement Award and the Distinguished Faculty Research Fellow Award. He is the EIC of the IEEE Transactions on Pattern Analysis and Machine Intelligence and the Vice President of IEEE Signal Processing Society in charge of Awards and Membership.

Takeshi Kurata is a research scientist at the Intelligent Systems Institute in the National Institute of Advanced Industrial Science and Technology (AIST) in Japan. There he leads the VizWear team, which focuses on exploring applications and technologies of computer vision for making wearable systems and interfaces easy to use. His research interests include computer vision, wearable/pervasive computing, human interface, augmented reality, context awareness, and user modeling.