Date(to be decided)
Machine Learning Applications in Digital Sensing and B5G/6G Wireless Communications
Invited Speaker
Prof. Koichi Ichige
Yokohama National University Graduate School of Engineering Science & Faculty of Engineering.
Abstract
In this talk, two recent results on the application of machine learning are introduced. The first is millimeter-wave (MM-wave) radar-based digital sensing for advanced driver-assistance system (ADAS) applications, such as detecting objects around vehicles and identifying adults or infants inside vehicles. These targets can be clearly detected and/or classified from the radar-received signals using machine learning. Moreover, this MM-wave radar technique can also be applied to hand gesture recognition for touchless operation. The second result is electromagnetic-wave (EM-wave) propagation estimation for beyond 5th generation (B5G) and 6th generation (6G) wireless communications. By using actual city maps and propagation parameters, propagation loss can be accurately estimated through learning-based methods. Furthermore, a virtual 3D city model can be created and used in machine learning to augment the training datasets.
Biography
Koichi Ichige received his B.E., M.E. and Dr.Eng. degrees in Electronics and Computer Engineering from the University of Tsukuba, Japan, in 1994, 1996, and 1999, respectively. He became a research associate in the Department of Electrical and Computer Engineering at Yokohama National University, Japan, in 1999, where he is currently a professor. He was a visiting researcher at the Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland, from 2001 to 2002. His research interests include signal processing, sensing, and their applications to wireless communications and image/video processing. He served as the chair of the Signal Processing Technical Committee of the Institute of Electronics, Information and Communication Engineers (IEICE) in 2024, and currently serves as the chair of the IEICE Signal Processing and Its Applications Sub-Society.