Daniel W. Bliss is an Associate Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University. Dan received his Ph.D. and M.S. in Physics from the University of California at San Diego (1997 and 1995), and his BSEE in Electrical Engineering from Arizona State University (1989). His current research topics include statistical signal processing, multiple-input multiple-output (MIMO) wireless communications, MIMO radar, cognitive radios, radio network performance bounds, geolocation techniques, channel phenomenology, and signal processing and machine learning for anticipatory physiological monitoring. Dan has been the principal investigator on numerous programs with applications to radio, radar, and medical monitoring. He has made significant contributions to robust multiple-antenna communications including important theoretical results, multiple patents, and the development of advanced fieldable prototype systems. He is responsible for some of the seminal MIMO radar literature, and was the principal investigator on an experimental airborne ground moving target indicator (GMTI) MIMO radar that demonstrated the validity of the theoretical results.
Before moving to ASU Dan was a senior member of the technical staff at MIT Lincoln Laboratory (1997-2012) in the Advanced Sensor Techniques group. Between his undergraduate and graduate degrees Dan was employed by General Dynamics (1989-1991), where he designed avionics for the Atlas-Centaur launch vehicle, and performed research and development of fault-tolerant avionics. As a member of the superconducting magnet group at General Dynamics (1991-1993), he performed magnetic field calculations and optimization for high-energy particle-accelerator superconducting magnets. His doctoral work (1993-1997) was in the area of high-energy particle physics, searching for bound states of gluons, studying the two-photon production of hadronic final states, and investigating innovative techniques for lattice-gauge-theory calculations. He is a senior member of the IEEE. He has published over 70 technical articles and conference papers, and he received the Best Lecture Award for his 2008 Tri-Service radar paper that discussed MIMO radar.