WE-A6.2P: AI for Antenna Appications
Wed, 17 Jul, 13:40 - 17:20
Location: Room 12
Session Co-Chairs: Christos G. Christodoulou, The University of New Mexico and Dan Jiao, Purdue University
Track: AP-S: Antenna Applications and Emerging Technologies
Wed, 17 Jul, 13:40 - 14:00

WE-A6.2P.1: Machine Learning Based Radio Environment Map Construction for Cellular Networks
Vasileios P. Rekkas, Sotirios P. Sotiroudis, Zaharias D. Zaharis, George Koudouridis, Aristotle University of Thessaloniki, Greece; Panagiotis Sarigiannids, University of Western Macedonia, Greece; George K. Karagiannidis, Aristotle University of Thessaloniki, Greece; Christos G. Christodoulou, The University of New Mexico, United States; Sotirios K. Goudos, Aristotle University of Thessaloniki, Greece
Wed, 17 Jul, 14:00 - 14:20

WE-A6.2P.2: Deep-Learning-Based Antenna Impedance Modeling With Output Nonlinear Normalization
Abdullah Muhammad Mahfouz Abdelrahman, Ahmed Kishk, Concordia University, Canada
Wed, 17 Jul, 14:20 - 14:40

WE-A6.2P.3: Explainable Planar Multiband Antenna Designer with Wasserstein Generative Adversarial Network
Hoin Jung, Vinicius Cabral Do Nascimento, Hongyang Liu, Xiaoqian Wang, Cheng-Kok Koh, Dan Jiao, Purdue University, United States
Wed, 17 Jul, 14:40 - 15:00

WE-A6.2P.4: Convolutionnal Neural Networks for Chipless RFID Classification in the Time-Frequency Domain
Jafait Junior Fodop Sokoudjou, Pablo Garcia Cardarelli, Ainhoa Rezola Garcíandia, Javier Díaz Dorronsoro, Idoia Ochoa Álvarez, University of Navarra, Spain
Wed, 17 Jul, 15:00 - 15:20

WE-A6.2P.5: An Efficient Approach to Predicting Performance Metrics of Reconfigurable Intelligent Surfaces
You-Cheng Chen, Chun-Wei Tseng, Pei-Chen Lin, Alan Liu, Shih-Cheng Lin, Sheng-Fuh Chang, National Chung Cheng University, Taiwan
Coffee Break
Wed, 17 Jul, 15:40 - 16:00

WE-A6.2P.6: A Progressive Sampling Method for 3-D Reconstruction of DPO-SDF
Ruoming Zhang, Yuhao Shen, Qianyan Shen, Lizhen Yang, Hai Lin, Zhejiang University, China
Wed, 17 Jul, 16:00 - 16:20

WE-A6.2P.7: Employing Deep Learning to Enhance Angle Resolution of Directional-of-Arrival (DoA) Systems using Rotman Lens
Donggeun An, Myeonggin Hwang, Suho Chang, Youngno Youn, Daehyeon Kim, Wonhyung Heo, Wonbin Hong, Pohang University of Science and Technology, Korea (South)
Wed, 17 Jul, 16:20 - 16:40

WE-A6.2P.8: Machine Learning-based Frequency Selection to Improve Breast Cancer Detection in MammoWave Device
Mehran Taghipour-Gorjikolaie, London South Bank University (LSBU), United Kingdom; Navid Ghavami, UBT - Umbria Bioengineering Technologies, Italy; Gianluigi Tiberi, London South Bank University (LSBU), United Kingdom; Mario Badia, Lorenzo Papini, Arianna Fracassini, Alessandra Bigotti, Gianmarco Palomba, UBT - Umbria Bioengineering Technologies, Italy; Mohammad Ghavami, London South Bank University (LSBU), United Kingdom
Wed, 17 Jul, 16:40 - 17:00

WE-A6.2P.9: Active Learning Based on Scattering Center Model for Target Recognition
Shaoran Wang, Mengmeng Li, Dazhi Ding, Nanjing University of Science and Technology, China
Wed, 17 Jul, 17:00 - 17:20

WE-A6.2P.10: An Efficient Approach for a Digital Twin model of Harsh EM Environments
Elisa Augello, Francesca Benassi, Diego Masotti, Alessandra Costanzo, Università di Bologna, Italy