Dr. Pavlidis‚ current research interests involve computational medicine, where he is charting new territory. He developed a series of methods to compute vital signs of subjects in an automated, contact-free, and passive manner. Dr. Pavlidis originated multiple patents and is considered one of the founders of modern lie detection technology. His research is cited extensively in scientific literature and receives significant coverage from international media outlets, including CNN, the Discovery Channel, Reuters, Time magazine, and the L.A. Times. Dr. Pavlidis is a Fulbright Fellow, a senior member of IEEE, and a member of the ACM. He also serves as associate editor for the journal Pattern Analysis and Applications and has chaired numerous major IEEE conferences. Ioannis Pavlidis received his B.E. degree in Electrical Engineering from Democritus University of Thrace, Xanthi, Greece, in 1987, his first M.S. degree in Robotics from the University of London, London, U.K., in 1989, and a second M.S. and a Ph.D. degree in Computer Science from the University of Minnesota, in 1995 and 1996, respectively. He is currently the Eckhard-Pfeiffer Professor of Computer Science and the Director of the Computational Physiology Laboratory, in the University of Houston. His research has been supported by multiple sources including the National Science Foundation, the Department of Defense, and corporations. He is the author of many scientific articles on computational physiology and affective computing. Dr. Pavlidis is well-known for his work on facial signs of stress, which first appeared in Nature and Lancet.