Daniel Bliss
Professor, School of Electrical, Computer and Energy Engineering
Prof. Daniel W. Bliss ([email protected], https://bliss.asu.edu) is a Professor in the School of Electrical, Computer, and Energy Engineering at Arizona State University. He is also the Director of ASU’s Center for Wireless Information Systems and Computational Architectures (https://wisca.asu.edu). Dan received his Ph.D. and M.S. in Physics from the University of California at San Diego (1997 and 1995), and his B.S. in Electrical Engineering from ASU (1989). Dan is a Fellow of the IEEE and received the 2021 IEEE Warren D. White Award for Excellence in Radar Engineering. He has published two textbooks and more than 200 technical articles and conference papers.
His research focuses on advanced systems – from theory through implementation – in the areas of radar, communications, precision positioning, advanced computational systems, and medical monitoring. Dan has served as Principal Investigator on numerous projects including sponsored programs with DARPA, ONR, Google, Airbus, and many others. As principal investigator, he has received more than $50 million in research awards. He is responsible for foundational work in electronic protection, adaptive multiple-input multiple-output (MIMO) radar, MIMO communications, distributed-coherent systems, and RF convergence. During his time at ASU, he has founded two startup companies: DASH Tech Integrated Circuits Company, which focuses on developing high-performance systems-on-chip for advanced embedded processing, and the Big Little Sensor Company, which focuses on using small-scale radars to remotely extract physiological data such as breathing and heart rate.
Before moving to ASU, Dan was a Senior Member of the Technical Staff at MIT Lincoln Laboratory (1997-2012). Between his undergraduate and graduate degrees, Dan was employed by General Dynamics (1989-1993), where he designed avionics for the Atlas-Centaur launch vehicle and performed magnetic field optimization for high-energy particle-accelerator superconducting magnets. His doctoral work (1993-1997) was in the area of high-energy particle physics and lattice-gauge-theory calculations. Dan is a member of the IEEE AES Radar Systems Panel and is a member of the IEEE Signal Processing Magazine Editorial Board.