Topic: Novel deep-learning-based techniques for design and optimization of photonic metastructures
Time：April 16, 2019 (Tuesday), at 9:30 am
Lecturer: Prof. Ali Adibi, School of Electrical and Computer Engineering, Georgia Institute of Technology, USA
Place: III-412 Lecture Hall, West Building
Abstract:
A computationally efficient new approach based on deep-learning techniques for analysis, design, and optimization of electromagnetic nanostructures will be presented. Using the strong correlation among features of an electromagnetic design problem, deep-learning techniques are employed to considerably reduce the dimensionality of the problem and thus, the computation complexity, without imposing considerable error. This approach reduces the computational complexity in both solving the forward problem (or analysis) and inverse problem (i.e., design) by orders of magnitude compared to conventional approaches. In addition, it provides analytic formulations that, despite their complexity, can be used to obtain intuitive understanding of the physics and dynamics of electromagnetic wave interaction with nanostructures with minimal computation requirements. In addition to explaining the fundamental properties of this approach, its application to designing a series of photonic metastructures, especially a new class of on-demand reconfigurable optical metasurfaces will be discussed and compared with more conventional design approaches.

Biography:
Ali Adibi received B.S. degree from Shiraz University in 1990 and received M. S. and Ph.D. degrees from Georgia Institute of Technology in 1994 and 1999.He is the directorof Bio and Environmental Sensing Technologies (BEST) and a professor and Joseph M. Pettit chair in the School of Electrical and Computer Engineering,Georgia Institute of Technology. He is the author of more than 150 journal papers and 400 conference papers. He is the editor-in-chief of the Journal of Nanophotonics, and the nanophotonic program track chair of the Photonics West meeting. He is the recipient of several awards including Presidential Early Career Award for Scientists and Engineers, NSF CAREER Award, and the SPIE Technology Achievement Award. He is also a fellow of OSA, SPIE and AAAS.