10-15 July 2022 • Denver, Colorado, USA


10-15 July 2022 • Denver, Colorado, USA

TH-A3.2P: Macromodeling and Optimization Methods
Thu, 14 Jul, 13:20 - 15:00 Denver Time (UTC -6)
Location: Capitol Ballroom 5
Session Chair: Gaeron Friedrichs, University of Colorado Boulder
Track: AP-S: Computational & Numerical Techniques
Thu, 14 Jul, 13:20 - 13:40 Denver Time (UTC -6)

TH-A3.2P.1: An Augmented Y-parameter Method for Macromodeling Electromagnetic Structures in the Presence of Plane-Waves

Arkaprovo Das, Sawyer D. Campbell, Douglas H. Werner, The Pennsylvania State University, United States
Thu, 14 Jul, 13:40 - 14:00 Denver Time (UTC -6)

TH-A3.2P.2: Machine-Learning-Based Deep-Sub-Wavelength Metrology with Uncertainty Quantification

Yanan Liu, Lynford L. Goddard, Jian-Ming Jin, University of Illinois at Urbana-Champaign, United States; Jinlong Zhu, Huazhong University of Science and Technology, China
Thu, 14 Jul, 14:00 - 14:20 Denver Time (UTC -6)

TH-A3.2P.3: Machine Learning Augmentation of Wideband Spectrum Sensors for Polarimetry

Gaeron Friedrichs, Mohamed Elmansouri, Dejan Filipovic, University of Colorado Boulder, United States
Thu, 14 Jul, 14:20 - 14:40 Denver Time (UTC -6)

TH-A3.2P.4: Expansion in Exponential Sums with Application to Discrete Complex Image Theory

David Tonn, Naval Undersea Warfare Center, Newport, United States; Bourama Toni, Howard University, United States
Virtual Presentation
Thu, 14 Jul, 14:40 - 15:00 Denver Time (UTC -6)

TH-A3.2P.5: Surrogate Modeling for Designing and Optimizing MIMO Antennas

Lida Kouahlvandi, Dogus, Turkey; Ladislau Matekovits, Politecnico di Torino, Italy