Daniel Bliss

Associate Professor
d.w.bliss@asu.edu
(480) 965-3913
GWC 302D

Expertise: Adaptive multiple-input multiple-output (MIMO) wireless communications, distributed cooperative communications, full-duplex relays, MIMO radar, information theory, estimation bounds, channel phenomenology, statistical signal processing for anticipatory medical applications

Daniel Bliss is the director of the Bliss Laboratory for Information, Signals, and Systems, which brings together three researchers, eight doctoral, two master’s and three undergraduate students. BLISS Lab currently has eight funded research programs. Bliss’s research focuses on innovative system design based on information theory, estimation theory and statistical signal processing for the applications of adaptive wireless communications, remote sensing and physiological prediction. Bliss is also the director of the newly formed Center for Wireless Information Systems and Computational Architectures (wisca.asu.edu). During the 2014-2015 fiscal year, Bliss won four new research awards and one new phase for over $3 million. He joined ASU in 2012 from the Massachusetts Institute of Technology Lincoln Laboratory where he was a senior member of the technical staff in the Advanced Sensor Techniques Group. He also brings prior experience from General Dynamics, where he was a member of the superconducting magnet group and designed avionics for the Atlas-Centaur launch vehicle. In 2015 Bliss was named an IEEE Fellow and elected to the Radar System Panel of the IEEE AESS.

Selected publications:

D. W. Bliss and S. Govindasamy, “Adaptive Wireless Communications: MIMO Channels and Networks,” Cambridge University Press, Cambridge, 2013.

K. W. Forsythe and D. W. Bliss, “MIMO Radar: Concepts, Performance Enhancements, and Applications,” Signal Processing for MIMO Radar, Ed. Jian Li and Petre Stoica, Wiley Publishing, 2009.

A. Sabharwal, P. Schniter, D. Guo, D. W. Bliss, S. Rangarajan, and R. Wichman, “In-band Full-duplex Wireless: Challenges and Opportunities,” IEEE Journal on Selected Areas in Communication (JSAC), Sept., 2014.

J. M. Kantor, C. D. Richmond, D. W. Bliss, B. Correll, “Mean-Squared-Error Prediction for Bayesian Direction-of-Arrival Estimation,” IEEE Journal on Signal Processing, Oct., 2013.

S. Govindasamy, D. W. Bliss and D. H. Staelin, “Asymptotic Spectral Efficiency of the Uplink in Spatially Distributed Wireless Networks with Multi-Antenna Base Stations,” IEEE Transactions on Communications, July, 2013.

J. R. Williamson, D. W. Bliss, D. W. Browne and J. T. Narayananb, “Seizure prediction using EEG spatiotemporal correlation structure,” Epilepsy & Behavior, Oct., 2012.

D. W. Bliss, “Optimal SISO and MIMO Spectral Efficiency to Minimize Hidden- Node Network Interference,” IEEE Communications Letters, July, 2010.

D. W. Bliss and K. W. Forsythe, “Multiple-Input Multiple-Output (MIMO) Radar and Imaging: Degrees of Freedom and Resolution,” IEEE Asilomar Conference on Signals, Systems & Computers, Pacific Grove, Calif., Nov. 2003.