Keynote Speakers
Prof. Han-Chieh Chao
President, Fo Guang University
Chair Professor of Applied Informatics , Fo Guang University
Biography
Han-Chieh Chao received his M.S. and Ph.D. degrees in Electrical Engineering from Purdue University, West Lafayette, Indiana, in 1989 and 1993, respectively. He is currently a distinguished chair professor with the Department of Artificial Intelligence, Tamkang University and the Department of Applied Informatics, Fo Guang University, Yilan, Taiwan. He is also the emeritus chair professor with the Department of Electrical Engineering, National Dong Hwa University, Hualien, Taiwan where he also holds the honorary president title.
Title
Towards a Secure IoT Future: Federated Learning in 5G Networks
Abstract
This talk will introduce the concept of Federated Learning (FL) as a solution to security and privacy concerns in the rapidly expanding Internet of Things (IoT) landscape powered by 5G. It will cover the advantages of FL in enabling local model training without exposing sensitive information, thereby reducing the risks associated with centralized data collection, such as data breaches and misuse. Furthermore, the talk will explore key challenges in FL implementation, including asynchronous updates due to varying computational capabilities of IoT devices, heterogeneous data distributions that can impact model convergence, and the need for optimized performance in resource-constrained environments. Additionally, we will discuss potential strategies to overcome these challenges, such as personalized FL, model compression techniques, and adaptive aggregation methods.
Professor Qiang Chen
Tohoku University, Japan
Biography
Dr. Qiang Chen received the B.E. degree from Xidian University, Xi'an, China, in 1986, the M.E. and D.E. degrees from Tohoku University, Sendai, Japan, in 1991 and 1994, respectively. He is currently Chair Professor of Electromagnetic Engineering Laboratory with the Department of Communications Engineering, Faculty of Engineering, Tohoku University. His primary research interests include antennas, microwave and millimeter wave, electromagnetic measurement and computational electromagnetics.
He received the Best Paper Award and Zen-ichi Kiyasu Award from the Institute of Electronics, Information and Communication Engineers (IEICE). He served as the Chair of IEICE Technical Committee on Photonics-applied Electromagnetic Measurement from 2012 to 2014, the Chair of IEICE Technical Committee on Wireless Power Transfer from 2016 to 2018, the Chair of IEEE Antennas and Propagation Society Tokyo Chapter from 2017 to 2018, the Chair of IEICE Technical Committee on Antennas and Propagation from 2019 to 2021. IEICE Fellow.
Title
Development of Liquid Crystal-Based Beam-Steerable Reflectarray Antennas
Abstract
This report outlines our research on the development of liquid crystal-based beam-steerable reflectarray antennas. The study addresses key challenges, including the characterization of the dielectric constant of liquid crystals at RF frequencies, the design of a bias circuit network for 2D beam steering, and the development of a unit cell with low reflection loss and fast response time.
Prof. Gia Khanh Tran
Institute of Science Tokyo, Japan
Biography
Dr. Gia Khanh Tran received D.E. degrees in electrical and electronic engineering from Tokyo Institute of Technology, Japan, in 2010. In 2012, he became a faculty member of the Department of Electrical and Electronic Engineering, Tokyo Institute of Technology (that changed its name into Institute of Science Tokyo from Oct. 2024), and now he is working as Associate Professor. He received IEEE VTS Japan 2006 Young Researcher’s Encouragement Award from IEEE VTS Japan Chapter in 2006 and the Best Paper Awards in Software Radio from IEICE SR technical committee in 2009, 2012 and 2024. His research interests are MIMO transmission algorithms, multiuser MIMO, MIMO mesh network, wireless power transmission, cooperative cellular networks, sensor networks, mm-waves and UAV-based wireless networks. He is a Senior Member of IEEE.
Title
Research on UAV based Smart Wireless Systems
Abstract
In B5G/6G, mobile communication systems are expected to function as the basic infrastructure of society. On the other hand, UAVs (Unmanned Aerial Vehicles, drones) have become familiar in recent years, and are expected to be used in various fields such as infrastructure monitoring, delivery, and disaster investigation. Towards the realization of the coming cyber-physical super smart society (Society 5.0), we are attempting to establish smart wireless systems that utilize the mobility of drones. Functioning as a wireless infrastructure, our proposed system consists of a group of UAVs as temporary base stations for deploying wireless networks. Functioning as a wireless sensor network, the system can be deployed to localize radio emitters using radio fingerprint methods. We also proposed to deploy UAVs as a secondary user system that can reuse the frequency of incumbent users via the application of reinforcement learning. Research results so far for our proposed systems will be introduced and future prospects are to be discussed.