Distinguished professor of computer science at Naval Postgraduate School. Past president of ACM. Past editor in chief of Communications of ACM. Currently editor of ACM Ubiquity. Author of ten books, most recent Great Principles of Computing (MIT Press 2015). Author of over four hundred scientific papers and articles.
Professor Interrante is a recipient of the 1999 Presidential Early Career Award for Scientists and Engineers, "the highest honor bestowed by the U.S. government on outstanding scientists and engineers beginning their independent careers", and a 2001-2003 McKnight Land-Grant Professorship from the University of Minnesota.
She co-founded and served as the first general co-chair of the ACM/SIGGRAPH Symposium on Applied Perception, and is currently serving as co-editor-in-chief of the ACM Transactions on Applied Perception, as well as on the editorial boards of several other leading journals including the IEEE Transactions on Visualization and Computer Graphics.
Prof. Interrante is currently a member of the Steering Committee for the IEEE Virtual Reality Conference, for which she also served as co-General Chair in 2014 and co-Program Chair in 2015-2017. In recent years, she has also served as the co-General Chair of EuroVR 2017, and as co-Program Chair of the 2010 Joint Virtual Reality Conference of EGVE, EuroVR and VEC, and the 2008 Eurographics Workshop on Computational Aesthetics, as well as chair of the technical track on Graphics, Animation and Gaming at the 2015 Grace Hopper Celebration of Women in Computing.
At the University of Minnesota, Dr. Interrante is currently serving as the Director of the Center for Cognitive Sciences and the Graduate Program in Human Factors.
Lydia Kavraki received her B.A. in Computer Science from the University of Crete in Greece and her Ph.D. in Computer Science from Stanford University. Her research contributions are in physical algorithms and their applications in robotics as well as in computational structural biology and biomedciine. Kavraki is the recipient of the ACM Grace Murray Hopper Award; a Fellow of ACM, IEEE, AAAS, AAAI, and AIMBE; and a member of the Institute of Medicine of the National Academies.
I was trained in mathematics and computer science at Tel Aviv University, now I am chairing the computer science department at Ben Gurion University. I have worked in the areas of computational geometry and bioinformatics, being mostly interested in shape resemblance and matching. Now I apply it to computer vision and image processing in my work on historical document analysis. We segment highly degraded documents, identify lines, and recognize words using pattern matching.
Prof. Daniel Thalmann is with the Nanyang Technological University, Singapore. Pioneer in research on Virtual Humans, he is coeditor-in-chief of the Journal of Computer Animation & Virtual Worlds, & editor of 7 journals. He has published 600 papers in Graphics, Animation, & Virtual Reality. Dr.hc from University Paul-Sabatier, France (2003), he also received the Eurographics Distinguished Career Award (2010) and the 2012 Canadian Human Computer Communications Society Achievement Award.
Former faculty at Johns Hopkins University and Dartmouth College. My research expertise is in Internet phenomena: access, addiction, agency, control, dependency, governance, and policy; and engineering ethics in Science, Technology, and Society (STS) merging the Internet with physical bodies. My edited reference book, Androids, Cyborgs, and Robots in Contemporary Culture and Society, was published in 2017, and my edited reference book, Global Issues and Ethical Considerations in Human Enhancement Technologies, was published in 2014. I am on the Membership Committee of the Global Internet Governance Academic Network (GigaNet). I teach communication courses, including Media and Society, and Mass Media Law.
Professor of Computer Science at Simon Fraser University (SFU), Canada. Editor-in-chief of Computer Graphics Forum. Directs the graphics (GrUVi) lab. Obtained his Ph.D. from Dept. of Computer Science, University of Toronto, and his M.Math. and B.Math degrees from the University of Waterloo. Richard's research area is computer graphics with a focus on geometry modeling and processing, shape analysis, 3D content creation, and 3D printing.