Title

Automated Antenna Design and Optimization

Speaker

Dr. Jason Lohn>

Abstract

Current methods of designing and optimizing antennas by hand are time and labor intensive, limit complexity, and require significant expertise and experience. Evolutionary design techniques can overcome these limitations by searching the design space and automatically finding effective solutions that would ordinarily not be found. In this talk, we present automated antenna design and optimization methods based on evolutionary algorithms. We present evolved antennas for a variety of aerospace applications, focusing on a project that produced antennas that flew on NASA's Space Technology 5 (ST5) mission. We discuss the software tools we developed to automate the design of these evolved antennas which are the first ever artificially-evolved objects to fly in space.

Biography

Dr. Lohn is a Sr. Systems Scientist at Carnegie Mellon, Silicon Valley Campus, and recently co-founded a startup to commercialize his automated antenna design technology. Previously he led Evolvable Systems research at NASA Ames Research Center, worked at Google, held a Visiting Scholar appointment in the Computer Science Department at Stanford University, and worked at IBM. He received his MS and PhD in Electrical Engineering from the University of Maryland at College Park, and his BS in Electrical Engineering from Lehigh University. He has over 50 technical publications and his work has been featured in Wired magazine, MIT Tech Review, and Popular Science. Dr. Lohn is a member of the IEEE, ACM, and Sigma Xi. He was a co-founder and co-chair of six NASA/DoD Conferences on Evolvable Hardware, and serves as an Associate Editor of IEEE Transactions on Evolutionary Computation.

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