Eckhard Pfeiffer Professor of Computer Science
Director, Computational Physiology Lab (CPL)

Ioannis Pavlidis has achieved global recognition for numerous research discoveries that yielded pioneering consumer, medical, and military applications. He founded the Computational Physiology Laboratory (CPL) in 2002 to evolve and expand his collaborative interdisciplinary research. The foundation of CPL's work issued from Dr. Pavlidis' novel methodological approach to measuring physiological variables in human subjects.

Dr. Pavlidis has originated ten patents to date 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, Wired magazine and the L.A. Times. He is an associate editor for the journal Pattern Analysis and Applications and has chaired several IEEE conferences.

CPL is world-renowned for groundbreaking research in stress quantification, lie detection, sleep studies, and behavioral gaming. The lab is dedicated to scientific and engineering excellence and achieving tangible social impact. Research projects focus on unobtrusive and sustained monitoring of physiological variables. The lab's research synthesizes elements from mathematics, computing, statistics, medicine, and physiology as an effective interdisciplinary foundation for its work. Research results have been published in several prestigious science journals, including Nature, Lancet, New England Journal of Medicine, and CHI.

Current Projects

Remote Human Identification and Intent Determination from Thermal Imagery I

This pilot program aims to design imaging technology to identify individuals and determine their intent at a distance.

Spectral Imaging Sensor for Improved Biometric and Human Intent Analysis II

This is Phase II of a program that involves developing spectral imaging techniques and hardware for biometric analysis of human subjects. The goal is to produce a system that can determine harmful personnel intent in uncontrolled environments.

Air Quality Mapping and Related Data Management

The program aims to provide data management and web/iPhone interfaces of animated ozone maps superimposed on physical activity and other applications.

Recent Publications

Fei, J., & Pavlidis, I. (2010). Thermistor at a distance: Unobtrusive measurement of breath. IEEE Transactions on Biomedical Engineering, 57(4), 988-998.

Levine, J., Pavlidis, I., MacBride, L., Zhu, Z., & Tsiamyrtzis, P. (2009). Description and clinical studies of a device for the instantaneous detection of office-place stress. WORK: A Journal of Prevention, Assessment, and Rehabilitation, 34(3), 359-364.

Manohar, C., McCrady, S., Pavlidis, I., & Levine, J. A. (2009). An accelerometer-based earpiece to monitor and quantify physical activity. Journal of Physical Activity and Health, 6(6), 781-789.

Murthy, J. N., Jaarsveld, J. v., Fei, J., Pavlidis, I., Harrykissoon, R. I., Lucke, J. F., & Castriotta, R. J. (2009). Thermal infrared imaging: A novel method to monitor airflow during polysomnography. Sleep, 32(11), 1521-1527.