BLISS Lab News
Presented talk virtually at Rice University: DASH – Enabling the Next Generation of Advanced Software-Defined RF Systems – 12/8/2020
My conversation with The Conversation “What’s cellular about a cellphone?” – 11/20/2020
Congratulations to my master’s student Pravallika Reddy Ketha Hazarath for successfully defending her thesis “Machine Learning-based Analysis of the Relationship between the Human Gut Microbiome and Bone Health” – 10/29/2020
Congratulations to my master’s student Huiwen Chu for successfully defending her thesis “Constant False Alarm Rate (CFAR) Detection Methods: Performance Comparisons and Computationally Efficient Implementations” – 10/28/2020
Congratulations – Dr. Sharanya Srinivas successfully defended her dissertation “Communications and High-Precision Positioning (CHP2): Enabling Joint Distributed Coherence and Precise Positioning for Resource-Limited Air Transport Systems” – 9/18/2020
Presented talk virtually at Temple University: The Future of RF Employment – 9/16/2020
Presented talk virtually at MIT Lincoln Laboratory: DASH – Enabling the Next Generation of Advanced Software-Defined RF Systems – 9/11/2020
Presented talk at DARPA ERI Summit, Domain-Focused Advanced Software-Reconfigurable Heterogeneous SoC (43:50 into video) – 8/18/2030
Presented talk virtually at University of California, Irvine: Future of RF Spectral Use – 5/15/2020
Congratulations – Dr. Owen Ma successfully defended his dissertation “Anticipating Postoperative Delirium During Cardiac Surgeries Involving Deep Hypothermia Circulatory Arrest” – 4/8/20
Congratulations – Dr. Justin Echols successfully defended his dissertation “Control and Estimation Theory In Timekeeping Applications” – 4/3/20
Congratulations – Dr. Hanguang Yu successfully defended his dissertation “The Architecture Design and Implementation of Communications and High Precision Positioning (CHP2) System” – 3/30/20
Congratulations – Dr. Andrew Herschfelt successfully defended his dissertation, “Simultaneous Positioning and Communications: Hybrid Radio Architecture, Estimation Techniques, and Experimental Validation” – 10/29/19
Best of Session Paper Award for “Joint Positioning-Communications System Design and Experimental Demonstration,” IEEE Digital Avionics Systems Conference, 2019
Congratulations – Dr. Christian Chapman successfully defended his dissertation, “Distributed Reception in the Presence of Gaussian Interference” – 8/29/19
Best Paper in Track, “Joint Sensing and Communications Multiple-Access System Design and Experimental Characterization,” IEEE Aerospace Conference, 2019
Spoke at Raytheon’s Multifunction RF Symposium at which I gave my Future of RF Systems talk – (5/11/19).
Attended the wonderful Interplanetary Initiative Annual Convening (4/6/19).
Secretary of the Air Force, Dr. Heather Wilson, stopped by our laboratory (8/25/18), and I had the opportunity to brief her on a number of our research projects.
Congratulations – Dr. Yu Rong successfully defended his dissertation, “Remote Sensing For Vital Signs Monitoring Using Advanced Radar Signal Processing Techniques” – 11/2/18
Congratulations – Dr. Arindam Dutta successfully defended his dissertation, “Signal Processing and Machine Learning Techniques Towards Various Real-World Applications” – 8/31/18
I was re-elected to IEEE AESS Radar System Panel, continuing from 2016-.
Appointed to Senior Editorial Board for IEEE Signal Processing Magazine
Congratulations – Dr. Richard M. Gutierrez successfully defended his dissertation – 4/13/18
ASU Now story on our autonomous vehicle joint communications and positioning research
Congratulations – Dr. Alex Chiriyath successfully defended his dissertation – 2/28/18
Received 2016-2017 Top 5% Teaching Award
Awarded 2017 ASU Fulton Engineering Exemplar Faculty
Congratulations – Dr. Bryan Paul successfully defended his dissertation – 3/24/17
Slate – Future Tense – I Help Create the Automated Technologies That Are Taking Jobs – And I feel guilty about it.
ASU Full Circle Article – Sending a message: Engineer calls for wireless communications revolution
Plenary talk given at 2015 International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) in Stockholm: Cooperative Radar and Communications Signaling
BLISS Lab is a member of the new Center for Wireless Information Systems and Computational Architectures (WISCA): wisca.asu.edu
Elevated to Fellow of the IEEE, 2015.
Selected Recent Publications:
O. Ma, A. Z. Crepeau, A. Dutta and D. Bliss, “Anticipating Postoperative Delirium During Burst Suppression Using Electroencephalography,” in IEEE Transactions on Biomedical Engineering, 2020. (Open Access)
A. R. Chiriyath, S. Ragi, H. D. Mittelmann and D. W. Bliss, “Novel Radar Waveform Optimization for a Cooperative Radar-Communications System,” in IEEE Transactions on Aerospace and Electronic Systems, June, 2019. (Open Access)
Arindam Dutta, Owen Ma, Meynard Toledo, Alberto Florez Pregonero, Barbara E. Ainsworth, Matthew P. Buman, Daniel W. Bliss, “Identifying Free-Living Physical Activities Using Lab-Based Models with Wearable Accelerometers,” MDPI Sensors Journal, Nov., 2018 (Open Access)
Virtual Rice University Distinguished Speaker – 12/8/2020
Talk at the 2020 DARPA ERI Summit
Online Defense of Dr. Sharanya Srinivas
Talk at Temple University
Talk on Giving Talks
Slides from my Future of RF Spectral Use talk “at” University of California, Irvine
My graduating Fall 2019 PhDs
Slides from my Future of RF Systems talk
Contributed to Interplanetary Initiative Annual Convening
Secretary of the Air Force, Dr. Wilson visits BLISS Lab.
My graduating 2018 PhDs
My talk on RF Convergence given at Mathworks Research Summit
Overview of Fluid Protocol Research
Bliss Laboratory of Information, Signals, and Systems
Daniel W. Bliss, the director of the BLISS lab, is a professor at ASU. Bliss is also the director of ASU’s center for Wireless Information Systems and Computational Architectures (WISCA). Bliss’s research is focused on developing novel and disruptive system concepts with new capabilities or dramatically improved performance. In particular, his research addresses wireless communications, remote sensing, and anticipatory medical analytics. As tools in pursuing these research goals, Bliss employs information theory, estimation theory, and signal processing, combined with thorough system analysis. Many of these system problems involve extracting information in noisy and difficult situations.
Bliss has made numerous significant research contributions. In adaptive wireless communications, both as an individual and as a leader of research teams, he has developed high-performance multiple-antenna receivers that have demonstrated experimentally communications performance dramatically better than traditional single antenna systems. Bliss invented and developed high-performance multiple-input multiple-output (MIMO) signal acquisition systems. Both the receiver and acquisition research led to patents.
In the field of remote sensing Bliss was one of the early and significant contributors to the theory of MIMO radar, particularly in its application to ground moving-target indicator radar. He led a team that was the first to demonstrate the performance benefits experimentally.
Before coming to ASU, Bliss performed research in a wide range of topics including rocket avionics for the Atlas-Centaur launch vehicle and superconducting magnet design for particle accelerators, both at General Dynamics, and particle physics during his doctoral work at University of California, San Diego. More recently, he was employed by MIT Lincoln Laboratory for 15 years, where much of his research and development effort was focused on high-performance wireless communications, novel remote sensing (such as radar and geolocation), and innovative statistical signal processing for biomedical applications.
University of California, San Diego
Ph.D. in Physics (1997)
M.S. in Physics (1995)
Arizona State University
B.S. in Electrical Engineering (1989)
- Advanced Wireless MIMO Communications
- In-Band Full-Duplex Communications
- Radar and Radio Coexistence
- Advanced Remote Sensing
- Anticipatory Physiological Analytics