报告题目：Novel deep-learning-based techniques for design and optimization of photonic metastructures

报告时间：2019年4月16日（周二）上午9:30

报告人：Prof. Ali Adibi, School of Electrical and Computer Engineering, Georgia Institute of Technology,USA

报告地点：西大楼4楼Ⅲ区412

报告摘要：

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.

报告人简介：

Ali Adibireceived B.S.degree from Shiraz University in 1990andreceived M. S. andPh.D. degrees from Georgia Institute of Technology (Georgia Tech.)and California Institute of Technology (Caltech)in 1994 and 1999.Heis the directorof Bio andEnvironmental 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.