Christ D. Richmond (richmond.engineering.asu.edu) is an associate professor in the School of Electrical, Computer and Energy Engineering at Arizona State University. He is the Director of the Signals, Information, Inference, and Learning (SIIL) Group at ASU that focuses on the theory, application, and practice of statistical signal and array processing. The goal of the SIIL Group is to advance technology for existing and emerging next generation systems through innovative algorithm design, solid theory and analysis, performance bounding, and experimental validation of concepts. Multisensor / multichannel applications and topics of current interest include but are not limited to:
- Cooperative Radar-Communications (Shared-Spectrum / RF Convergence)
- Cognitive MIMO Radar / Sonar
- Machine and Deep Learning
- Bayesian Sparse Vector Recovery
- Information Theory–Estimation Theory Interplay
- Geolocation (positioning, navigation, and timing (PNT))
- Robust Adaptive Filtering / Beamforming
- Adaptive Radar Detection and Estimation
- Synthetic Aperture Radar (SAR) Image Change Detection
- Robust Parameter Estimation and Bounds Under Model Misspecification
- Communication Over Dynamic Channels
- Adaptive MIMO Communications
Richmond received a bachelor's degree in electrical engineering from the University of Maryland, College Park, and a bachelor's degree in mathematics from Bowie State University, Bowie, MD. He received master's and electrical engineer degrees and a doctorate in electrical engineering from the Massachusetts Institute of Technology (MIT), Cambridge. Prior to joining ASU, he was a senior staff in the Advanced Sensor Techniques Group at MIT Lincoln Laboratory where his research involved developing adaptive algorithms for detection and parameter estimation, and performance bounding for radar/sonar, communications and passive RF geolocation systems. He was a visiting lecturer and associate of the John A. Paulson School of Engineering and Applied Sciences at Harvard University where he taught information theory in the Fall 2014 and 2015, and a visiting lecturer at MIT EECS in the Fall of 2000 teaching the course Radar/Sonar Signal Processing.
He is a Fellow of the IEEE, the recipient of the IEEE Signal Processing Society 1999 Young Author Best Paper Award in area of Sensor Array and Multi-channel (SAM) Signal Processing, the Alan Berman Research Publications Award March 1994 (Naval Research Laboratory), and the Office of Naval Research Graduate Fellowship Award 1990–1994. He has served as the technical chairman of the Adaptive Sensor Array Processing (ASAP) Workshop, MIT Lincoln Laboratory, 2007, 2006, and 1998, and served as a member the IEEE Technical Committee on SAM Signal Processing. He served as an associate editor for the IEEE Transactions on Signal Processing from 2002 to 2005. He served an invited reviewer for the book "Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking," by Professor H. L. Van Trees and Professor K. Bell. Currently, Prof. Richmond serves as a Senior Editor for IEEE Signal Processing Letters and a Guest editor for a special issue on “Radar-Communications co-existence for IoT” in the Frontiers in Communications Journal, 2020—2021.
His research interests include statistical signal and array processing, detection and parameter estimation theory, information theory, and application of machine and deep learning to radar / sonar and communication systems.