Biography
Dr. Xianghua Xie is an Associate Professor in the Visual Computing Group at the Department of Computer Science, Swansea University. He held an RCUK Academic Fellowship between September 2009 and March 2012, and he was a Senior Lecturer between October 2012 and March 2013. Prior to his position at Swansea, he was a Research Associate in the Computer Vision Group, Department of Computer Science, University of Bristol, where he obtained his PhD in Computer Science and MSc in Advanced Computing (with commendation) in 2006 and 2002, respectively. He has strong research interests in video analysis, stereo systems, active contour models, level set methods, texture analysis, and medical image understanding. He leads a team of researchers at Swansea University in these areas, and has published just under 100 papers in computer vision and pattern recognition. He is associate editor of IET Computer Vision, and general chair of BMVC2015 and MIUA2012. He is a senior member of IEEE.
Research Interest
Video analysis, Stereo systems, Active contour models, Level set methods, Texture analysis, and Medical image understanding
Biography
Henry Hexmoor received the M.S. degree from Georgia Tech, Atlanta, and the Ph.D. degree in computer science from the State University of New York, Buffalo, in 1996. He is a long time IEEE senior member. He has taught at the University of North Dakota before a stint at the University of Arkansas. Currently, he is an associate professor with the Computer Science Department, Southern Illinois University, Carbondale, IL. He has published widely in artificial intelligence and multiagent systems.
Research Interest
Multiagent systems, artificial intelligence, cognitive science, mobile robotics, and predictive models for transportation systems. His work has sought to take a principled approach to the development of agent principles including robotic systems.
Biography
David Novick is a Professor of Computer Science at The University of Texas, USA.
Research Interest
My research focuses on interactive systems and, especially, building rapport in multimodal conversation. Current research projects include (1) making conversations with embodied conversational agents more effective through modeling and implementing conversation control acts and (2) improving the effectiveness of cross-functional teams by identifying the conversation-control origins of team misunderstandings.