Rate My Professor Ioannis Pavlidis

Ioannis Pavlidis is the Eckhard-Pfeiffer Distinguished Professor in the Department of Computer Science at the University of Houston, a position he has held since 2006 after serving as Associate Professor there from 2002 to 2006. He earned a Ph.D. in Computer Science from the University of Minnesota in 1996, an M.S. in Computer Science from the same institution in 1995, an M.S. in Robotics from Imperial College/University of London in 1989, and a B.S. in Electrical Engineering summa cum laude from Democritus University of Thrace in 1987. Prior to academia, Pavlidis held progressive research roles at Honeywell Laboratories from 1996 to 2002, advancing from Research Associate to Senior Principal Research Scientist, where he contributed to developments in human-computer interaction and sensor technologies. In 2002, he founded the Computational Physiology Lab at the University of Houston, now known as the Affective & Data Computing Lab, which he continues to direct.

Dr. Pavlidis's research lies at the intersection of artificial intelligence, physiological computing, and behavioral informatics. He has pioneered methods to quantify human stress, deception, and emotional states using multimodal sensor fusion, including thermal imaging, cardiovascular signals, and facial expression analysis, with applications in aviation safety, law enforcement, distracted driving biofeedback, and computational medicine. His projects are funded by the National Science Foundation, DARPA, and other agencies, fostering collaborations with experts in neuroscience, clinical psychology, and human factors engineering. An IEEE Fellow since 2024, Pavlidis has received the Fulbright Fellowship in 1991, the Eckhard-Pfeiffer Distinguished Professorship in 2006, multiple University of Houston Faculty Research Awards in 2004, 2014, and 2017, and several Honeywell technical awards. He serves on editorial boards for IEEE Transactions on Affective Computing, Scientific Data, and others. Key publications include "A new look at breathing for affective studies" (IEEE Transactions on Affective Computing, 2024), "Investigating cardiovascular activation of young adults in routine driving" (IEEE TAFFC, 2023), "Grand challenges and emergent modes of convergence science" (Humanities and Social Sciences Communications, 2021), "The rise of affectivism" (Nature Human Behaviour, 2021), and "Emotional footprints of email interruptions" (CHI Conference, 2020). His contributions have earned recognition in top academic venues and media outlets such as CNN and Time magazine.