Serdar Uckun, MD, PhD - President (email)
Dr. Serdar Uckun is founder and President of the PHM Society and Manager of the Embedded Reasoning Area at Palo Alto Research Center (PARC). Before joining PARC, Dr. Uckun was at NASA Ames Research Center where he led the largest organization in the U.S. Government focusing on PHM research. He has also served as Director of the Research Institute for Advanced Computer Science (RIACS), Director of Advanced Technology at Blue Pumpkin Software, and Assistant Director of Rockwell Science Center - Palo Alto Laboratory. He was Associate Editor of the Artificial Intelligence in Medicine Journal and the General Chair of the International Conference on PHM (2008). He is currently Associate Editor of the International Journal on Prognostics and Health Management.

Dr. Uckun has graduate degrees in Medicine and Biomedical Engineering. He earned his Ph.D. in Biomedical Engineering at Vanderbilt University and completed post-doctoral work in Computer Science at Stanford University. He holds 12 U.S. patents and has over 40 peer-reviewed publications on various technical topics.

Michael J. Roemer, PhD - Vice President (email)
Dr. Roemer is the Director of Engineering at Impact Technologies in Rochester, NY and Adjunct Professor of Mechanical Engineering at the Rochester Institute of Technology. He was formerly a Vice President of Engineering at STI Technologies prior to joining Impact Technologies. Mike has a Ph.D. in Mechanical Engineering, M.S. in Systems Engineering and B.S. in Electrical Engineering, all from the State University of New York at Buffalo. He has over 20 years of experience developing real-time, automated health management technologies for complex systems, including large steam and gas turbines, gas turbine engines, rotary/fixed-wing aircraft subsystems and naval propulsion systems. He has developed several diagnostic and prognostic capabilities for complex systems utilizing probabilistic methods that are directly linked to maintenance planning and system operation. He is the author or co-author of more than 50 technical papers in these subject areas. Previously, he served as Chairman of the Machinery Failure Prevention Technology (MFPT) Society, a Division of the Vibration Institute, and Prognostics Lead for the SAE-E32 Engine Condition Monitoring Committee.

Karl Reichard, PhD - Treasurer (email)
Dr. Karl Reichard is a Research Associate at the Applied Research Laboratory at The Pennsylvania State University and Deputy Department Head of the Advanced Sensors and Controls Department in the Multisensor Processing Division.
He has more than 15 years of experience in the development of advanced sensors, measurement systems, and signal processing algorithms. An Assistant Professor of Acoustics at Penn State and Head of the Condition-Based Maintenance Department at the University's Applied Research Laboratory, Dr. Reichard leads advanced research and development efforts in embedded systems, electro-optics, intelligent acoustic and vibration sensors, and signal processing and classification algorithms for active noise and vibration control, manufacturing machinery monitoring, and surveillance systems. Prior to joining Penn State ARL in 1991, he was employed by the U.S. Army Aberdeen Proving Grounds and Virginia Polytechnic Institute and State University, his alma mater. Dr. Reichard has published more than 25 papers in refereed journals, conference publications, and technical reports. Dr. Reichard serves as Associate Editor of the International Journal on Prognostics and Health Management.

Prof. J. Wesley Hines, PhD - Secretary (email)
Dr. J. Wesley Hines is a Professor of Nuclear Engineering at the University of Tennessee and is the director of the Reliability and Maintainability Engineering Education program. He received the BS degree in Electrical Engineering from Ohio University in 1985, and then was a nuclear qualified submarine officer in the Navy. He received both an MBA and an MS in Nuclear Engineering from The Ohio State University in 1992, and a Ph.D. in Nuclear Engineering from The Ohio State University in 1994.

Dr. Hines teaches and conducts research in artificial intelligence and advanced statistical techniques applied to process diagnostics, condition based maintenance, and prognostics. Much of his research program involves the development of algorithms and methods to monitor high value equipment, detect abnormalities, and predict time to failure. He has authored over 250 papers and has several patents in the area of advanced process monitoring and prognostics techniques. He is a director of the Prognostics and Health Management Society, and a member of the American Nuclear Society, American Society of Engineering Education. Dr. Hines has received numerous recognitions from the UT College of Engineering including the 2009 and 2006 College of Engineering Research Fellow Award; the 2007 Chancellor's Research and Creative Achievement Award, the 2005 Brooks Distinguished Professor Award; the 2004 COE Teaching Fellow Award; the 2004 Leon and Nancy Cole Superior Teaching Award; and the 2001-2002 Allen and Hoshall Engineering Faculty Award.