Zhengyou Zhang / Microsoft Research, Redmond, USA
Title: Toward Immersive Telepresence

Zhengyou Zhang is a Principal Research and the Research Manager of the “Multimedia, Interaction, and Communication” research group at Microsoft Research, Redmond, WA, USA. He is a Fellow of the Institute of Electrical and Electronic Engineers (IEEE). He is the Founding Editor-in-Chief of the IEEE Transactions on Autonomous Mental Development (IEEE T-AMD), and is on the Editorial Board of the International Journal of Computer Vision (IJCV), the Machine Vision and Applications, and the Journal of Computer Science and Technology (JCST). He was on the Editorial Board of the IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE T-PAMI) from 1999 to 2005, the IEEE Transactions on Multimedia (IEEE T-MM) from 2004 to 2009, the International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI) from 1997 to 2008, among others. He is listed in Who's Who in the World, Who's Who in America and Who's Who in Science and Engineering.

Before joining Microsoft in 1998, Zhengyou worked at INRIA (French National Institute for Research in Computer Science and Control) for 11 years, and was a Senior Research Scientist since 1991. In 1996-1997, he spent one-year sabbatical as anInvited Researcher at the Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan. He holds about 100 US patents and has about 20 patents pending. He has published over 200 papers in refereed international journals and conferences, and is the co-author of five books. His homepage is at
Greg Welch / Dept of Computer Science, University of Central Florida, USA
Title: Making the Virtual Real

Greg Welch is a Research Professor in the Institute for Simulation & Training and the Department of Computer Science at The University of Central Florida, and the Department of Computer Science at The University of North Carolina at Chapel Hill. In 1986 he received a degree in Electrical Technology from Purdue University (with Highest Distinction), and in 1996 a Ph.D. in Computer Science from UNC-Chapel Hill. Prior to UNC he worked on the Voyager Spacecraft Project at NASA's Jet Propulsion Laboratory, and on airborne electronic countermeasures at Northrop-Grumman's Defense Systems Division. His current research interests include virtual and augmented reality, human tracking systems, 3D telepresence, computer vision, and stochastic estimation. He has co-authored over 50 publications in these areas, and is a co-inventor on multiple patents. He has served on numerous international program committees, co-chaired workshops and seminars, and is an Associate Editor for the journal Presence: Teleoperators and Virtual Environments. He maintains an internationally-recognized web site dedicated to the Kalman filter. He is a member of the IEEE Computer Society and ACM. He is a Co-General Chair of ISMAR 2012 in Atlanta, Georgia, USA with Blair MacIntyre (Georgia Tech), and a Co-General Chair of IEEE VR 2013 in Orlando, Florida, USA with Ben Lok (University of Florida).
His homepage is at
Kiyoshi Kiyokawa / Cybermedia Center, Osaka University, Japan
Title: Trends and Vision of Head Mounted Displays for Augmented Reality

Kiyoshi Kiyokawa is an Associate Professor at Cybermedia Center, Osaka University, since 2002. He received his M.S. and Ph.D. degrees in information systems from Nara Institute of Science and Technology in 1996 and 1998, respectively. He was a Research Fellow of the Japan Society for the Promotion of Science in 1998. He worked for Communications Research Laboratory (current National Institute of Information and Communications Technology) from 1999 to 2002. He was a visiting researcher at Human Interface Technology Laboratory of the University of Washington from 2001 to 2002. His research interests include virtual reality, augmented reality, 3D user interface, CSCW, and context awareness. He has been involved in organizing IEEE and ACM conferences, such as IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR), IEEE International Symposium on Wearable Computers (ISWC), IEEE Symposium on 3D User Interfaces (3DUI), IEEE Virtual Reality and ACM Virtual Reality Software and Technology (VRST). He is a board member of the Virtual Reality Society of Japan. His homepage is at
Didier Stricker / DFKI, Gerymany
Title: From Interactive to Adaptive Augmented Reality

Didier Stricker is Scientific Director and member of the Management Board of the German Research Center for Artificial Intelligence (DFKI GmbH) in Kaiserslautern where he leads the new research department "Augmented Vision."

He was appointed in 2008 as Professor at the Computer Science Department of the University of Kaiserslautern, where he holds the chair "Augmented Vision." From 2002 to June 2008 Didier Stricker lead the department "Virtual and Augmented Reality" at the Fraunhofer Institute for Computer Graphics (Fraunhofer IGD) in Darmstadt, Germany. In this function he initiated and participated to many national and international projects in the area of virtual and augmented reality. He was e.g. initiator and coordinator of the European projects MATRIS (Markerless real-time Tracking for Augmented Reality Image Synthesis) and ULTRA (Ultra Portable Augmented Reality System for Augmented Reality Maintenance Applications). In 2006 he received the Innovation Prize of the German Society of Computer Science for the Augmented Reality Telescope.

Didier Stricker serves as reviewer for different European or National research organizations. He organized as general chair the first "IEEE&ACM International Symposium on Mixed and Augmented Reality (ISMAR)" 2002 in Darmstadt, Germany, and was member of the steering committee from 2000 to 2007. He is reviewers of different journals and conferences in the area of VR/AR and Computer Vision. His research interests are virtual and augmented reality, computer vision, human computer interaction and user monitoring. His homepage is at
Tae-Kyun Kim / Dept of EEE, Imperial College London, UK
Title: Machine Learning for Computer Vision
 - Randomised Decision Forest and Its Novel Applications

Tae-Kyun Kim received the B.Sc. and the M.Sc. degrees from the Korea Advanced Institute of Science and Technology in 1998 and 2000, respectively, and the Ph.D. degree in computer vision from the University of Cambridge, U.K., in 2007. He had been a fellow of Sidney Sussex College, Univ. of Cambridge, during 2007-2010, until he joined the faculty of Imperial College.
Dr T-K Kim is a Lecturer (Assistant Professor) at the Department of EEE, Imperial College London, UK. His research interests are in computer vision, learning and perception, and include 2D/3D object detection, categorisation and tracking, action and posture recognition, face recognition and surveillance, semantic image segmentation and man-machine interface. He has given tutorials on Randomised Decision Forests/Boosting and on-line learning in ICCV09 and ICVSS09 and his co-authored algorithm on face image descriptor is MPEG7 ISO/IEC standard. He has coauthored more than 40 papers and 10 international patents. More about the Computer Vision and Learning Lab led by T-K is found at

Si-Jung Kim / Dept of Digital Media, University of Central Florida, USA
Title: Incorporating Empirical Usability Testing into AR/VR Research

Si-Jung Jun is with the Department of Digital Media, University of Central Florida and his current research areas include embodied user interfaces and wearable interactions. He received a Ph.D. in Human-Computer Interaction and Human Factors from the Grado Department of Industrial and Systems Engineering (ISE) at Virginia Tech. He also received a M.S. from the School of Information and Communications at Sungkyunkwan University and a B.S. from the Department of Electronic Engineering at Kyonggi University. In addition, he was a Ph.D. student at KAIST and ICU and an exchange student at the Far Eastern National University, Russia. He conducted various multi-disciplinary projects in the area of user interface design, interactive media, augmented reality and 3D applications for over 10 years. His current research areas include interactive user interfaces/media, augmented reality and wearable interactions including game and robotics.