John Mylopoulos received his BEng degree from Brown University in 1966 and his PhD degree from Princeton in 1970, the year he joined the faculty of the University of Toronto. His research interests include information modelling techniques, covering notations, implementation techniques and applications, knowledge based systems, semantic data models, information system design and requirements engineering.
Christos Papadimitriou works on the theory of algorithms and complexity, aiming to expand the field’s methodology and reach. His research often explores areas beyond computer science through what he calls the algorithmic lens: biology and the theory of evolution, economics and game theory (where he helped found the field of algorithmic game theory), artificial intelligence and robotics, networks and the Internet and, since 2013, the study of the brain and language. In this endeavor, Papadimitriou and his co-authors strive to bridge the gap between neurons and cognition — between the brain and the mind — by articulating formal models of the neural brain in which emergent behaviors can be proved formally, as well as brain-like artifacts capable of emulating complex cognitive phenomena, most recently natural language acquisition.
Ekaterini Panagiotou Sycara is a Greek computer scientist. She is an Edward Fredkin Research Professor of Robotics in the Robotics Institute, School of Computer Science at Carnegie Mellon University internationally known for her research in artificial intelligence, particularly in the fields of negotiation, autonomous agents, and multi-agent systems. She directs the Advanced Agent-Robotics Technology Lab at Robotics Institute, Carnegie Mellon University. She also serves as an academic advisor for PhD students at both Robotics Institute and Tepper School of Business.
Phokion Kolaitis is a Distinguished Research Professor at UC Santa Cruz and a Principal Research Staff Member at the IBM Almaden Research Center. His research interests include principles of database systems, logic in computer science, and computational complexity.
Christos Faloutsos is a Greek computer scientist and a professor at Carnegie Mellon University. He has received the Presidential Young Investigator Award by the National Science Foundation (1989), 22 best paper awards, and several teaching awards. He has served as a member of the executive committee of SIGKDD. He has published over 300 refereed articles, and one monograph, and holds five patents. His research interests include data mining for streams and networks, fractals, indexing for multimedia and bio-informatics databases, and performance.
Professor Aloimonos holds a Ph.D. in Computer Science from the University of Rochester. His research is devoted to the principles governing the design and analysis of real-time systems that possess perceptual capabilities, for the purpose of both explaining animal vision and designing seeing machines. Such capabilities have to do with the ability of the system to control its motion and the motion of its parts using visual input (navigation and manipulation) and the ability of the system to break up its environment into a set of categories relevant to its tasks and recognize these categories (categorization and recognition).
Professor of Cognitive Systems at Linköping University since 2016. His research interests are in situated and embodied cognition, with a focus on how people interact with autonomous systems, such as social robots and automated vehicles.
Demetri Terzopoulos (PhD ’84 MIT), Chancellor’s Professor of Computer Science at UCLA, holds the rank of Distinguished Professor and directs the UCLA Computer Graphics & Vision Laboratory. He is or was a Guggenheim Fellow, a Fellow of the ACM, a Life Fellow of the IEEE, a Fellow of the Royal Society (FRS) of London, a Fellow of the Royal Society of Canada (FRSC), a member of the European Academy of Sciences and the New York Academy of Sciences, and a life member of Sigma Xi. A highly cited author in engineering and computer science, his many awards include an Academy Award for Technical Achievement from the Academy of Motion Picture Arts and Sciences for his pioneering research on physics-based computer animation, and the IEEE’s Computer Pioneer Award, Helmholtz Prize, and inaugural Computer Vision Distinguished Researcher Award for his pioneering and sustained research on Deformable Models, a term he coined that is listed in the IEEE Taxonomy, and their applications to graphics, vision, healthcare, and other domains.
Constantinos S. Pattichis is Professor with the Dep. of Computer Science and Director of the Biomedical Engineering Research Centre at the University of Cyprus and Leader of HealthXR Group – Smart, Ubiquitous, and Participatory Technologies for Healthcare Innovation in the CYENS Centre of Excellence.
Lydia E. Kavraki is the Noah Harding Chair and professor of Computer Science, Electrical & Computer Engineering, Mechanical Engineering, and Bioengineering. She is the director of the Ken Kennedy Institute at Rice University. 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, working with Professor Jean-Claude Latombe. She was a research associate at Stanford University before moving to Rice. Kavraki works broadly in robotics, computational biomedicine, and physical AI. She has authored more than 300 peer-reviewed journal and conference publications and is one of the authors of the widely used robotics textbook “Principles of Robot Motion” published by MIT Press.
Fillia S. Makedon is a Greek-American computer scientist whose research has spanned a broad variety of areas in computer science, including VLSI design, graph algorithms, numerical linear algebra, sensor networks, algorithm visualization, bioinformatics, recommender systems, and human–robot interaction. She is Jenkins-Garrett Professor of Computer Science and Engineering at the University of Texas at Arlington.
Dr George Magoulas is Professor of Computer Science at Birkbeck’s Department of Computer Science, and Director of the Birkbeck Knowledge Lab, University of London. The Knowledge Lab pursues research on digital technologies, digital information and artificial intelligence and investigates how developments in these areas are transforming the way people learn, work and communicate.