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Ioannis Pavlidis

Ioannis Pavlidis
Eckhard Pfeiffer Professor, Department of Computer Science
Director, Computational Physiology Lab

Dr. Pavlidis’ research focuses on computational biomedicine and biometrics, with special emphasis on contact-free measurement of vital signs. His pioneering work has earned nine patents and has garnered international attention, most notably for his revolutionary technology “ATHEMOS” (Automatic THErmal Monitoring System). ATHEMOS is a touchless thermal imaging system capable of computing blood flow, cardiac pulse, and breathing rate through bioheat modeling. The method is revolutionary in that it allows these measurements to be taken at a distance of several feet and in a highly automated manner.

DSelected by Wired magazine and GE as one of the future’s top technologies, ATHEMOS is already being used by leading institutions, including the Mayo Clinic, to quantify stress and anxiety, and is expected to find applications in sleep studies and the monitoring of heart patients. It has also been highlighted by the Discovery Channel, at NextFest (a showcase of the world’s leading technological visionaries), and is on display at the London Historical Society and Technology Museum.

Prior to joining the UH Computer Science Faculty, Dr. Pavlidis was Senior Principal Research Scientist at Honeywell Laboratories. He has written and edited numerous books and journal articles, and is a frequent keynote speaker at international computing conferences. He has also received a number of awards and scientific citations over the past decade for his research.

Dr. Pavlidis is a member of the Association for Computing Machinery, a senior member of the Institute of Electrical and Electronics Engineers, and a member of the Technical Chamber of Greece. He holds a PhD from the University of Minnesota.

Ioannis Pavlidis

Research interests

Dr. Pavlidis’ research areas include computational biomedicine, biometrics, computer vision, and software engineering.

Research projects

MRI

The goal of this collaborative project (with the National Science Foundation) is to establish a state-of-the-art research facility that will serve a large community of users with common interests in the areas of bio-signal analysis and bio-computation.

Undergraduate research experience in computational science and cyber-security

TThis project team is working alongside National Science Foundation researchers to introduce undergraduates to research in computational science and cyber-security.

Interacting with human physiology

With the goal of adding a new dimension to human-computer interaction, this study is focused on monitoring the physiology of computer users using computing resources in conjunction with sensing, algorithmic and interface methods. The resulting interface will enhance the user’s experience and at the same time, empower the user to take preventive medical action when warranted.

Capacity Expansion in Information Assurance

This collaborative study (with the National Science Foundation) seeks to expand the capacity of Stony Brook University and the University of Houston to produce high-quality professionals in information assurance and computer security who can make a definitive contribution toward the problem of protecting our nation’s critical infrastructure.

Research partners

Dr. Pavlidis is currently partnering with the National Science Foundation on several projects. His research is funded by the Defense Advanced Research Projects Agency (DARPA), the DOD Polygraph Institute, the Technical Support Working Group (TSWG), and the UH Texas Learning and Computation Center.

Significant publications

“Biometrics: face recognition in thermal infrared” (with P. Buddharaju, C. Manohar and P. Tsiamyrtzis), in Biomedical Engineering Handbook, N. Diakides, editors, CRC Press, November 2005.

Computer Vision Beyond the Visible Spectrum (with B. Bhanu), Springer, November 2004.

“Video-based surveillance for chem-bio protection of buildings” (with T. Faltesek and C. Stathopoulos), in Multisensor Surveillance System: The Fusion Perspective, G.L. Foresti, C. Regazzoni, P. Varshney, editors, pp.94-114, Kluwer Academic Publishers, July 2003.

“Imaging Facial Physiology for the Detection of Deceit” (with J. Dowdall, D. Shastri and P. Tsiamyrtzsis), in International Journal of Computer Vision, to appear.