Abstract: Satellite communications experience many unique challenges in closing the link budget and providing reliable and resilient data throughput. These challenges range from overcoming the vast distances to managing atmospheric perturbations to generating unique modulations that are both spectrally and power efficient. In this discussion we will briefly cover these various topics including some modulation basics and dive into some of the only communications standards that exist for satellite communications and why they are used to overcome these challenges. This will lead to a brief introduction of some test and measurement solutions that enable these challenging networks to be created and maintained from concept to launch.

BIO: Ian is currently a Hardware R&D Engineer for Keysight Labs, helping develop and validate industry leading technologies for new signal analysis products. Prior to this Ian was an Applications Development Engineer in Keysight’s Space and Satellite Solutions group, focused on helping commercial and government entities accelerate their missions in the Low Earth Orbit (LEO) mega-constellation new space race. Ian’s areas of expertise spans signal analysis and generation, particularly tackling design and test challenges in Digital Video Broadcasting - Satellite Second Generation Extended (DVB-S2X), DVB - 2nd Generation Return Channel via Satellite (RCS2), custom Orthogonal Frequency-Division Multiplexing (OFDM), and 5th Generation Non-Terrestrial Networks (5G NTN) at frequencies from Ku- and Ka-band through V- and W-band and beyond.

Abstract: A survey of the new artificial-intelligence (AI)-based approaches for analysis, design, optimization, and knowledge discovery in electromagnetic nanostructures will be presented. Recent advances in using both deep-learning (DL) techniques and machine-learning (ML) techniques and their application to practical problems will be covered. These techniques will not only enable more efficient designs of the electromagnetic nanostructures (e.g., metasurfaces), but also provide valuable insight about the physics of light-matter interactions in such structures. Details of the training process for these algorithms as well as the challenges and limitations of these techniques for different classes of nanostructures will be discussed. Knowledge discovery using these techniques includes the study of feasibility of a certain response from a given nanostructure and comparing the roles of different design parameters to facilitate the training process.

Bio: Ali Adibi is the director of 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. His research group has pioneered several structures in the field of integrated nanophotonics for information processing, sensing, and quantum photonic applications. He is the author of more than 230 journal papers and 550 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, Packard Fellowship, NSF CAREER Award, and the SPIE Technology Achievement Award. He is also a fellow of OSA, SPIE, and AAAS.