Roger Azevedo is a Professor in the Department of Psychology in the area of Human Factors and Applied Cognition at North Carolina State University. His main research area includes examining the role of cognitive, metacognitive, affective, and motivational self-regulatory processes during learning with advanced learning technologies (e.g., intelligent tutoring systems, hypermedia, multimedia, simulations, serious games). More specifically, his overarching research goal is to understand the complex interactions between humans and intelligent learning systems by using interdisciplinary methods to measure cognitive, metacognitive, emotional, and motivational processes and their impact on learning, performance, and transfer. To accomplish this goal, he conducts laboratory, classroom, and in-situ (e.g., medical simulator) studies and collects multi-channel data to develop models of human-computer interaction; examines the nature of temporally unfolding self- and other-regulatory processes (e.g., human-human and human-artificial agents); and, designs intelligent learning and training systems to detect, track, model, and foster learners, teachers, and trainers’ self-regulatory processes. He has published over 200 peer-reviewed papers, chapters, and refereed conference proceedings in the areas of educational, learning, cognitive, educational, and computational sciences. He is the editor of the Metacognition and Learning journal and also serves on the editorial board of several top-tiered learning and cognitive sciences journals (e.g.,Educational Psychologist, International Journal of AI in Education). His research is funded by the National science Foundation, Institute of Education Sciences, and the Social Sciences and the Humanities Research Council of Canada. He is a fellow of the American Psychological Association and the recipient of the prestigious Early Faculty Career Award from the National Science Foundation.




Guoying Zhao received the Ph.D. degree in computer science from the Chinese Academy of Sciences, Beijing, China, in 2005. She is currently an Associate Professor with the Center for Machine Vision Research, University of Oulu, Finland, where she has been a researcher since 2005. In 2011, she was selected to the highly competitive Academy Research Fellow position. She has authored or co-authored more than 120 papers in journals and conferences, and has served as a reviewer for many journals and conferences. She has lectured tutorials at ICPR 2006, ICCV 2009, and SCIA 2013, and authored/edited three books and four special issues in journals. Dr. Zhao was a Co-Chair of five International Workshops at ECCV, ICCV, CVPR and ACCV, and two special sessions at FG13 and FG15. She is editorial board member for Image and Vision Computing Journal, International Journal of Applied Pattern Recognition and ISRN Machine Vision. She is IEEE Senior Member. Her current research interests include image and videodescriptors, facial-expression and micro-expression recognition,gait analysis, dynamic-texture recognition, human motion analysis, and person identification. Her research has been reported by Finnish TV programs, newspapers and MIT Technology Review.

Last updated: 17.2.2020