91破解版

Skip to main content

Department of Computer Science

  1. NSM Home
  2. Department of Computer Science
  3. People
  4. Faculty
  5. Ioannis Thomas Pavlidis

People

 

placeholder

Ioannis Thomas Pavlidis, Ph.D.

Professor of Computer Science, IEEE Fellow

Research Areas: Visual Computing and HCI Artificial Intelligence

 

Education:

路 PhD, Computer Science, University of Minnesota

路 MS, Computer Science, University of Minnesota

路 MS, Robotics, Imperial College/University of London

路 BS, Electrical Engineering, Democritus University of Thrace

Dr. Ioannis Pavlidis is a computational scientist and an IEEE Fellow whose research sits at the intersection of artificial intelligence, physiological computing, and behavioral informatics. As a professor in the Department of Computer Science at the 91破解版, Dr. Pavlidis has pioneered methods to quantify human stress, deception, and emotional states using multimodal sensor fusion鈥攊ntegrating thermal imaging, cardiovascular signals, and facial expression analysis. His work bridges experimental design and real-world deployment, advancing the frontiers of unobtrusive affective computing. Dr. Pavlidis leads the Affective & Data Computing Lab (ACDC), where he directs interdisciplinary projects funded by the National Science Foundation, DARPA, and other major agencies. A central theme of his research is the use of computational models to interpret latent psychophysiological patterns under naturalistic conditions, including high-stakes decision-making and immersive training environments. His group has published widely in top-tier venues across computer science, psychology, and biomedical engineering, and their innovations have found application in areas such as aviation safety, law enforcement, and stress training. An advocate for translational research, Dr. Pavlidis has collaborated extensively with domain experts in neuroscience, clinical psychology, and human factors engineering. His work has received broad recognition in both academic circles and the popular press, and he is known for mentoring students at the intersection of technical rigor and human-centered insight.

路 IEEE Fellow

  • Sun, N., & Pavlidis, I. (2024). A new look at breathing for a铿�ective studies. IEEE Transactions on A铿�ective Computing.
  • Hasan, M. T., Alghamdi, H., Taamneh, S., Manser, M., Wunderlich, R., Tsiamyrtzis, P., & Pavlidis, I. (2023). Investigating cardiovascular activation of young adults in routine driving. IEEE Transactions on A铿�ective Computing.
  • Petersen, A. M., Ahmed, M. E., & Pavlidis, I. (2021). Grand challenges and emergent modes of convergence science. Humanities and Social Sciences Communications, 8(1).
  • Dukes, D. et al. (2021). The rise of a铿�ectivism. Nature Human Behaviour, 5(7), 816鈥�820. https://doi.org/10.1038/s41562-021-01130-8 5) Blank, C., Zaman, S., Wesley, A., Tsiamyrtzis, P., Da Cunha Silva, D. R., Gutierrez-Osuna, R., Mark, G., & Pavlidis, I. (2020). Emotional footprints of email interruptions. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 155:1鈥�155:12. https://doi.org/10.1145/3313831.3376282