Biograph: Ozlem Kilic received her D.Sc. and M.S. degrees from the George Washington University,    Washington, DC in 1991   and 1996, respectively, and B.S. degree from the Bogazici University, Istanbul, Turkey in 1989, all in electrical engineering.  She  joined the Catholic University of America in 2005, where she is currently serving as the department chair.   Prior to that, she was  an Electronics Engineer at the U.S. Army Research Laboratory, Adelphi MD, where she managed Small Business Innovative  Research (SBIR) Programs for the development of hybrid numerical electromagnetic tools.  Dr. Kilic has over five years of  industry experience at COMSAT Laboratories as a Senior Member of the Technical Staff and a Program Manager with  specialization in satellite communications, link modeling and analysis, and phased arrays and reflector antennas for satellite  communications system.  Her research interests include antennas, wave propagation, satellite communications, numerical  electromagnetics, and microwave remote sensing.  She has been serving in leadership positions in a number of organizations such  as IEEE AP-S, USNC URSI, and ACES and has wide range of experience in education, membership development, technical  committees, government/industry interface, program management.

Title: Electromagnetic Modeling of Vital Sign Detection and Human Motion Sensing Validated by Non-Contact Radar Measurements

Abstract: The technology to analyze human motion activities has significantly advanced in the last few years.  Even some gait analyses techniques have been recognized, however, most of these analyses are quite expensive, inefficient, require multitude of wearable sensors and produce vast amounts of data.  On the other hand, it is still hard to understand these data and interpret them; while clinical use is hampered by the length of time and costs for carrying out these studies. Add to that in many biomedical applications, it is difficult to conduct realistic experiments or even obtain repeatable and identical experimental data due to the complex nature of human movements. Such capability is essential in understanding the human motion kinematics.  In situations like this, it is imperative to use accurate models emulating closely real-life and utilize wave interpretation.  Definitely, accurate electromagnetic (EM) modeling is essential for in depth analysis and prototyping and will significantly help in understanding the motion kinematics; but not for real-time testing. In this presentation, we have utilized such know-how capabilities to thoroughly investigate various human activities, ranging from tiny motions such as: vital signs detection in complex scenarios like victims under rubbles to the regular human activities such as walking and jogging. The models we have developed can be extended to investigate other activities like falling and motion abnormalities.  In this effort, we validate our EM model for non-contact vital sign detection, and gait analysis using our radar system and will be discussed in details.