Özlem

Computational Electromagnetics (CEM) is an interdisciplinary field combining electrical engineering, physics, mathematics, and computer science to simulate and analyse electromagnetic phenomena. It plays a critical role in the design and optimisation of systems like antennas, radars, satellites, wireless devices, and emerging fields like nanophotonics and biomedical imaging. With modern systems becoming increasingly complex, featuring irregular geometries and multiscale behaviours, CEM has adapted to meet the challenges posed by large structures and high-frequency regimes. Recent advancements in computing, especially with GPUs and specialised hardware, have enabled researchers to solve complex problems with billions of unknowns. Hybrid numerical schemes, parallel implementations, and machine learning-based surrogate models are key trends in improving simulation efficiency and speed without sacrificing accuracy. This lecture will cover advanced techniques like hybrid methods, domain decomposition, and large-scale parallel solvers, and discuss how machine learning is shaping the future of CEM. Practical case studies will also be shared to demonstrate the real-world application of: these methods in electromagnetic radiation and scattering problems.

Biography:

Özlem Özgün is a Full Professor in the Department of Electrical and Electronics Engineering and Vice Dean at Hacettepe University, Ankara, Turkey. She holds a B.Sc. and M.Sc. from Bilkent University and a Ph.D. from Middle East Technical University (METU). Her research interests include computational electromagnetics, radiowave propagation, numerical methods, domain decomposition, transformation electromagnetics, and stochastic electromagnetic problems. She has authored 130+ refereed articles and a book on finite element programming in electromagnetics. Dr. Özgün is a Senior Member of IEEE and URSI, and a former chair of the URSI Turkey steering committee. She received the METU Best Ph.D. Thesis Award (2007), Felsen Fund Excellence in Electromagnetics Award (2009), and the IEEE AP-S Outstanding Reviewer Award (2023-2024).