2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting

5-10 July 2020 • Montréal, Québec, Canada

2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting

5-10 July 2020 • Montréal, Québec, Canada

NOTE: Displayed times are in EDT - Montréal Time

Technical Program

MO-SP.1A: Artificial Intelligence Applications in Electromagnetics

Track: Special Sessions
Session Chairs: Paolo Rocca, ELEDIA Research Center, University of Trento, Randy Haupt, Colorado School of Mines and Payam Nayeri, Colorado School of Mines
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MO-SP.1A.1: ON ANTENNA Q-FACTOR CHARACTERIZATION WITH GENERATIVE ADVERSARIAL NETWORKS
Jayakrishnan Vijayamohanan, Oameed Noakoasteen, Arjun Gupta, Manel Martínez-Ramón, Christos Christodoulou, University of New Mexico, United States
MO-SP.1A.3: DEEP LEARNING FOR NANOSCALE ARBITRARY META-ELEMENT ROBUSTNESS
Ronald Jenkins, Philip O'Connor, Sawyer Campbell, Pingjuan Werner, Douglas Werner, Penn State University, United States
MO-SP.1A.5: APPLICATION OF SUPERVISED DESCENT METHOD IN ELECTROMAGNETIC DATA INVERSION
Maokun Li, Rui Guo, Ke Zhang, Zekui Jia, Zhichao Lin, Fan Yang, Shenheng Xu, Tsinghua University, China; Aria Abubakar, Schlumberger, United States
MO-SP.1A.6: DUALBAND PATCH ANTENNA DESIGN USING BINARY GREY WOLF OPTIMIZER
Sotirios Goudos, Achilles Boursianis, Aristotle University of Thessaloniki, Greece; Marco Salucci, Paolo Rocca, University of Trento, Italy
MO-SP.1A.7: SORTING OF ARCHAEOLOGICAL SAMPLES IN D-BAND
Flora Zidane, Claire Migliaccio, Jérôme Lanteri, Laurent Brochier, Université Côte d'Azur, France; Vanna Lisa Coli, Didier Binder, Louise Gomart, Université Côte d'Azur - CNRS, France
MO-SP.1A.8: DEEP LEARNING BASED MODELING OF TUNABLE BST COMPOSITES FOR FREQUENCY RECONFIGURABLE ANTENNAS
Achintha Ihalage, Yang Hao, Queen Mary University of London, United Kingdom
MO-SP.1A.9: SUPERVISED STATISTICAL LEARNING FOR CANCER DETECTION IN DEHYDRATED EXCISED TISSUE WITH TERAHERTZ IMAGING
Tanny Chavez, Nagma Vohra, Jingxian Wu, Narasimhan Rajaram, University of Arkansas, United States; Keith Bailey, University of Illinois at Urbana-Champaign, United States; Magda El-Shenawee, University of Arkansas, United States
MO-SP.1A.10: MACHINE LEARNING-ASSISTED TOLERANCE ANALYSIS AND ITS APPLICATION TO ANTENNAS
Qi Wu, Weiqi Chen, Haiming Wang, Wei Hong, Southeast University, China
MO-SP.1A.11: MACHINE LEARNING BUILDING RECOGNITION FOR CAPACITY AND RF COVERAGE
Nicholas Buris, Hangtian Chen, Shanghai University, China