Amin Arbabian (Stanford University): "Overview and Design of Large-aperture mm-wave Imaging Systems"



Amin Arbabian (Stanford)

Overview and Design of Large-aperture mm-wave Imaging Systems



Silicon-based millimeter-wave systems have now moved from research labs to products. Commercial CMOS solutions are now addressing a wide variety of applications in communications as well as some areas of classical radar.  The new research frontiers are now moving to higher frequencies, designing larger arrays (for example to obtain higher resolution in imaging systems), and achieving higher power levels, which is critical in closing the link budget gaps above 100 GHz. This talk will review mm-wave imaging systems, and focus on resolution limits and corresponding design challenges. The concept of spatial bandwidth in large-aperture imaging systems will be reviewed.  Finally, an overview of implementation challenges and proposed solutions for large-aperture imaging systems will be discussed. This includes the use of dielectric waveguides for signal distribution across large baselines.    


Amin Arbabian received his Ph.D. degree in EECS from UC Berkeley in 2011 and in 2012 joined Stanford University, where he is now an associate professor of Electrical Engineering. His current research interests include mm-wave and high-frequency circuits and systems, imaging technologies, Internet-of-Everything devices including wireless power delivery techniques, and medical implants.


Prof. Arbabian has served on the steering committee of RFIC, the technical program committees of RFIC VLSI, CICC, and ESSCIRC, and as associate editor of the IEEE Solid-State Circuits Letters (SSC-L) and the IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology (J-ERM). He is the recipient or co-recipient of the 2016 Stanford University Tau Beta Pi Award for Excellence in Undergraduate Teaching, 2015 NSF CAREER award, 2014 DARPA Young Faculty Award (YFA) including the Director’s Fellowship in 2016, 2013 Hellman faculty scholarship, and best paper awards from several conferences and journals including IEEE Transactions on Biomedical Circuits and Systems (2020), ISSCC (2010), VLSI Circuits (2014), RFIC symposium (2008 and 2011, 2nd place), ICUWB (2013), PIERS (2015), MTT-S BioWireless symposium (2016), and BioCAS (2017).
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