Changzhi Li (S’06-M’09-SM’13) received the B.S. degree in electrical engineering from Zhejiang University, China, in 2004, and the Ph.D. degree in electrical engineering from the University of Florida, Gainesville, FL, in 2009. He is a Professor at Texas Tech University. His research interests include biomedical applications of microwave technology, wireless sensors, and RF/analog circuits.
Dr. Li was a recipient of the IEEE Microwave Theory and Techniques Society (MTT-S) Outstanding Young Engineer Award, the IEEE Sensors Council Early Career Technical Achievement Award, the ASEE Frederick Emmons Terman Award, the IEEE-HKN Outstanding Young Professional Award, the U.S. National Science Foundation (NSF) Faculty Early CAREER Award, and the IEEE MTT-S Graduate Fellowship Award. He was the chair of MTT-S TC-10 “Biological Effect and Medical Applications of RF and Microwave” in 2018 and 2019. He has published over 260 journal and conference papers, six book chapters, two books, and holds nine U.S. patents. He is an Associate Editor of the IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES and the IEEE JOURNAL OF ELECTROMAGNETICS, RF AND MICROWAVES IN MEDICINE AND BIOLOGY. He served as an Associate Editor of the IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I from 2016 to 2019, and an Associate Editor of the IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II from 2014 to 2015. He served as a TPC Co-Chair for the IEEE MTT-S International Microwave Biomedical Conference from 2018 to 2019, and the IEEE Wireless and Microwave Technology Conference from 2012 to 2013.
Portable radar systems with embedded control and signal processing have the potential to improve the quality of service in many healthcare, human-computer interface, and internet of things (IoT) applications. This talk provides an overview of some recent research activities in developing smart microwave radar sensors based on advanced technologies including digital/RF beamforming, multiple-input and multiple-output (MIMO) system, synthetic aperture radar (SAR), and hardware imperfection correction. A few radar systems operating in interferometry, Doppler, and frequency-modulated continuous-wave (FMCW) modes at 5.8 GHz, 24 GHz, and 120 GHz will be discussed. In addition, the use of nonlinear technologies for enhanced target identification, with a focus on intermodulation radar, will be reported. Case studies will be presented on bioengineering and Internet of Things (IoT) applications including life activity sensing, detection of anomaly such as a person with concealed weapons, and human-aware localization.