Christos Christodoulou on bringing intelligence in antenna design
28 APRIL 2021
In the first episode of OJAP TALKS, Christos Christodoulou, a true pioneer of Artificial Intelligence (AI) applications in electromagnetics, engages in a conversation with Sotirios Goudos, the lead Guest-Editor of the IEEE OJAP Special Section on “Computational Intelligence in Antennas and Propagation: Emerging Trends and Applications”, around the incredible advances enabled by AI in antenna design and propagation modelling. They describe how machine learning has become the key enabler for applications like smart radio environments and reconfigurable intelligent surfaces, and discuss the ways in which the antenna engineer can adapt to current and emerging AI trends.
Christos Christodoulou is Distinguished Professor and Jim and Ellen King Dean of Engineering and Computing at the University of New Mexico, USA. Sotirios Goudos is Associate Professor at the Aristotle University of Thessaloniki, Greece.
Read Christos Christodoulou’s article entitled “Physics-Informed Deep Neural Networks for Transient Electromagnetic Analysis”.
The podcast is also available in an audio-only format below.
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