讲座题目: Machine Learning for Microwaves - Highlight of Past, Present and Future Trends
报告人: Qi-Jun Zhang（张齐军）教授，卡尔顿大学校长讲席教授，IEEE Fellow，加拿大工程院院士，加拿大工程研究院院士
时间：2024年3月13日， 10:00-11:00am
地点：无线谷A1319会议室
摘要: Machine learning has experienced phenomenal success in the past decade in signal processing, image and speech recognition, robotics, autonomous systems, and more. This success is also coupled with the expanding applications of machine learning in broad areas of science and engineering. The microwave community is among the earliest in exploring machine learning and artificial neural networks (ANN) for wireless and wireline electronic devices, circuits, and system designs. Presently, machine learning has become one of the most active topic areas in microwaves, with applications ranging from microwave design automation to biomedical, security, intelligent wireless systems, and more. This presentation starts with a brief description of historical developments and highlights some of the state-of-the-art research and emerging directions in the area.
报告人简介: QI-JUN ZHANG received the BEng degree from Nanjing University of Science and Technology, Nanjing, China in 1982, and the Ph.D. degree in electrical engineering from McMaster University, Hamilton, ON, Canada, in 1987. He was a Research Engineer with Optimization Systems Associates Inc., Dundas, ON, Canada, during 1988–1990, developing advanced optimization software for microwave modeling and design. In 1990, he joined the Department of Electronics, Carleton University, Ottawa, ON, Canada, where he is currently a Chancellor’s Professor. He is an Author of the book Neural Networks for RF and Microwave Design (Boston, MA, USA: Artech House, 2000), a co-editor of Modeling and Simulation of High-Speed VLSI Interconnects (Boston, MA, USA: Kluwer, 1994), and a co-editor of Simulation-Driven Design Optimization and Modeling for Microwave Engineering (London, U.K.: Imperial College Press, 2013). His research interests include modeling, optimization, and machine learning for high-speed/high-frequency electronic design. He was twice a Guest-Editor for the Special Issues on Applications of ANN for RF/Microwave Design for the International Journal of RF/Microwave Computer-Aided Engineering (1999, 2002), a Guest Co-Editor for the Special Issue on Machine Learning in Microwave Engineering for the IEEE Microwave Magazine (2021) and a Guest-Editor for the Special Issue on AI and Machine Learning Based Technologies for Microwaves for the IEEE Transactions on Microwave Theory and Techniques (2022).
Dr. Zhang is a Fellow of the IEEE, a Fellow of the Canadian Academy of Engineering, and a Fellow of the Engineering Institute of Canada. He is a Topic Editor for the IEEE Journal of Microwaves. He is a founding co-chair of the Working Group on AI and Machine Learning-Based Technologies for Microwaves in the Future Directions Committee of the IEEE Microwave Theory and Technologies (MTT) Society.
