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Daniel W. Bliss

  • Ira A. Fulton Schools of Engineering
  • School of Electrical, Computer, and Energy Engineering

Daniel Bliss uses mathematics, algorithms, signal processing techniques, and machine-learning to improve the quality of life by equipping people with more effective tools and capabilities.

Bliss is an associate professor of electrical engineering and director of the Center for Wireless Information Systems and Computational Architecture. He created a framework for designing more capable and power-efficient computer processors to achieve broader technological capabilities to control unmanned aerial vehicles, grow the internet of things and advance consumer electronics. Prior to ASU, Bliss worked at MIT Lincoln Laboratory and General Dynamics, where he designed avionics for the Atlas-Centaur launch vehicle and performed research and development of fault-tolerant avionics.

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(480) 965-3913


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(480) 727-4058

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In the news

Over the last two decades, I have observed a fundamental change in how we can apply advanced algorithms to sensing and controlling systems — the kinds of technology that enable more sophisticated robotic manufacturing. I can remember discussing various algorithms and believing they were well beyond what we could ever implement. Now these same algorithms are considered elementary. They are just some of the changes that have fueled the revolution in manufacturing.

— Daniel Bliss, Slate