Smart Radar Motion Sensors for Biomedical and Civil Applications

Thursday, October 03, 2013
7:00 PM
POB 2.402
Free and open to the public

Smart sensors with embedded control and communication links have the potential to improve the quality of service in healthcare, infrastructure maintenance, and energy conservation. This presentation provides an overview of our research activities on smart radar sensors based on Doppler, interferometry, and frequency-modulated continuous-wave (FMCW) technologies.

Starting from basic motion measurements, the scope of applications extends to sleep study, baby monitor, triage, and civil engineering. Specifically, our recent research efforts on smart house, tumor tracking, and structural health monitoring will be discussed.

In a smart house, radar provides localization, health condition, occupancy and human gesture information, benefiting the human well-being and energy efficiency.

In cancer radiotherapy, because lung tumors can move significantly with respiratory motion, it is difficult for radiotherapy to deliver sufficient radiation dose without damaging the surrounding healthy lung tissue. We investigate radar-based accurate tumor tracking, which provides a method to dynamically target tumors with the radiation beam.

In structural health monitoring, we use sensors with active transponders to advance infrastructure maintenance, as aging infrastructure remains a national concern with widespread impacts on the quality of our daily lives.

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Changzhi Li

Changzhi Li

Assistant Professor
Texas Tech University

Dr. Changzhi Li received the B.S. degree in electrical engineering from Zhejiang University, Hangzhou, China, in 2004, the M.S. and Ph.D. degrees in electrical engineering from the University of Florida, Gainesville, FL, in 2007 and 2009, respectively.

In the summers of 2007 and 2008, he worked at Alereon Inc., Austin, TX, on ultrawideband (UWB) transceiver. In the summer of 2009, he worked at Coherent Logix Inc., Austin, TX, on software-defined radio. His research interests include analog integrated circuits, microwave/millimeter-wave circuits, wireless sensor, frequency synthesizers, and biomedical applications of microwave/RF.

Dr. Li received the NSF CAREER Award in 2013, the Texas Tech Alumni Association New Faculty Award in 2012, and the IEEE MTT-S Graduate Fellowship Award in 2008. He is the advisor/author/co-author of several best paper awards.