TOCS Event-Silicon Valley Campus - Carnegie Mellon University

TOCS Event


Jason Lohn

Jason Lohn
Associate Research Professor, ECE Dept.
Director, Innovations Laboratory
Carnegie Mellon Silicon Valley


January 31, 1:30 pm



CMUSV, Rm 118 [directions]

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Title: Evolving Antenna Systems: Strange yet High-performance AI Designs
Abstract: Current methods of designing and optimizing antennas by hand are time and labor intensive, limit complexity, and require significant expertise and experience. AI search algorithms can overcome these limitations by automatically searching the design space and finding effective solutions that are closer to limits imposed by physics. For example, our algorithms have discovered counter-intuitive antenna designs that out-perform traditionally designed systems. While optimization modules are commonly available in commercial RF CAD tools, they are typically simple parametric methods, and no system yet offers an antenna synthesis capability. We discuss the SaaS/cloud-based antenna synthesis system we are developing and its use in a variety of applications, including a project that produced antennas that flew in space on a NASA mission.
Speaker Bio: Dr. Lohn is an Associate Research Professor in Electrical and Computer Engineering at Carnegie Mellon University. He has worked at Google, NASA Ames Research Center, Stanford University, and IBM Corporation. He received his M.S. and Ph.D. in Electrical Engineering from the University of Maryland at College Park and his B.S. in Electrical Engineering from Lehigh University. He leads research in Evolvable Systems at Carnegie Mellon and NASA Ames and is closely affiliated with the growing field called evolvable hardware -- the study of how stochastic search algorithms can be used to design and configure electronic and mechanical hardware. He co-founded and chaired a series of successful NASA/DoD evolvable hardware workshops and conferences. He led a team of scientists and engineers to successfully evolve, develop and fly three evolved X-band antennas in space aboard NASA's Space Technology 5 mission in 2006.His main interests are to research and develop search algorithms that can automatically design and optimize hardware systems to achieve increased performance and reliability in application areas such as antenna design, microelectromechanical systems, robotics, and spacecraft design. He has co-founded a Silicon Valley startup company called X5 Systems to commercialize his work on advanced antenna synthesis and optimization algorithms. Dr. Lohn is a member of the IEEE, ACM, Sigma Xi, and Phi Kappa Phi. He has over 50 technical publications and has made contributions in automated hardware design, self-replicating systems, parallel processing, and neural networks. Dr. Lohn serves as an Associate Editor of IEEE Transactions on Evolutionary Computation.