Jeffrey Nanzer

Jeffrey Nanzer


  • Member, ICMIM ExCom, Meetings and Symposia Committee, Standing Committees**
  • Speakers bureau, MTT-24 MICROWAVE/MM-WAVE RADAR, SENSING AND ARRAY SYSTEMS, Technical Committees**
  • 2019, Outstanding Young Engineer Award, Past Awardees**


Jeffrey Nanzer (S’02-M’08-SM’14) received the B.S. degree in electrical engineering and computer engineering from Michigan State University, East Lansing, MI, USA, in 2003, and the M.S. and Ph.D. degrees in electrical engineering from The University of Texas at Austin, Austin, TX, USA, in 2005 and 2008, respectively. From 2008 to 2009, he was a Postdoctoral Fellow with Applied Research Laboratories, The University of Texas at Austin, where he was involved in designing electrically small HF antennas and communication systems. From 2009 to 2016, he was with The Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA, where he created and led the Advanced Microwave and Millimeter-Wave Technology Section. In 2016, he joined the Department of Electrical and Computer Engineering, Michigan State University, where he is currently a Dennis P. Nyquist Assistant Professor. He has authored or co-authored more than 100 refereed journal and conference papers, authored the book Microwave and Millimeter-Wave Remote Sensing for Security Applications (Artech House, 2012), and co-authored chapters in the books Wireless Transceiver Circuits (Taylor and Francis, 2015) and Short-Range Micro-Motion Sensing: Hardware, signal processing and machine learning (IET, 2019). His current research interests include distributed arrays, radar and remote sensing, antennas, electromagnetics, and microwave photonics.

Prof. Nanzer was a Founding Member and the First Treasurer of the IEEE APS/MTT-S Central Texas Chapter. From 2013 to 2015, he served as the Vice-Chair of the IEEE Antenna Standards Committee. From 2016 to 2018, he was the Chair of the Microwave Systems Technical Committee (previously MTT-16), IEEE Microwave Theory and Techniques Society. He is currently an Associate Editor of the IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, a member of the AP-S Education Committee, and a member of USNC/URSI Commission B. He received the DARPA Director’s Fellowship in 2019, the Outstanding Young Engineer Award from the IEEE Microwave Theory and Techniques Society in 2019, the NSF CAREER Award in 2018, the DARPA Young Faculty Award in 2017, and the JHU/APL Outstanding Professional Book Award in 2012.


Recent Advances in Microwave and Millimeter-Wave Remote Sensing for Security Applications

Microwave and millimeter-wave remote sensing techniques are fast becoming a necessity in many aspects of security as it becomes more difficult to counter new threats. The requirement for faster detection of objects and humans, improved spatial resolution in imaging, and more precise classification demands the use of novel sensor applications. This talk focuses on recent developments in remote sensing for security, and highlights two recently developed techniques: human micro-Doppler radar detection and millimeter-wave interferometric imaging.

Micro-Doppler refers to the frequency sidebands imparted by the motion of non-rigid objects, such as a moving human body, on the scattered radar signal. By analyzing certain aspects of the micro-Doppler signature, researchers have been able to discriminate humans from vehicles and animals. Much work has also been done in determining human activity from micro-Doppler signatures, which may be used to assess intent and thereby classify potential threats. The basic theory of human micro-Doppler detection will be discussed in this talk, and simulations and measurements will be presented.

Millimeter-wave remote imaging systems, both passive and active, have been shown to successfully detect weapons and other contraband hidden beneath clothing. While most systems rely on mechanical scanning apertures, the use of interferometric imaging has recently been investigated. Initially developed in the radio astronomy and satellite remote sensing communities, interferometric processing can provide images of equivalent quality to filled apertures while using sparse arrays. In addition to reduced aperture area, interferometric imagers require no scanning and are easier to integrate than fully populated phased arrays. This talk will explain the theory behind interferometric imaging, and will describe the effect of implementing various antenna geometries. Recent work from researchers in the field will be reviewed.