Prof. Haiming WANG

Southeast University, Nanjing, China

Abstract: With the rapid development of modern wireless communications, radars, and other radio systems, antennas and arrays are becoming more complex, therein having, e.g., more degrees of design freedom, integration and fabrication constraints, and design objectives. While full-wave electromagnetic simulation can be very accurate and therefore essential to the design process, it is also very time consuming, which leads to many challenges for antenna design, optimization, and sensitivity analysis. In this talk, we first elaborate on the concept of AI-powered antenna design and related research background. Secondly, we present the machine-learning-assisted optimization for accelerating the design process of antennas and arrays. Next, five design cases of antennas and arrays are also introduced to help understand the algorithms. We proposed the multi-stage collaborative machine learning, which can be used to further accelerate antenna optimization. And we also proposed the multilayer machine-learning-assisted optimization to cope with the extreme-high computational complexity of sensitivity analysis and robust design. Finally, we discuss future works and conclude this talk.

Date: 2:00pm – 3:00pm, 1 FEB 2021

Venue: Zoom meeting