摘要： This talk explores how Automated Machine Learning (AutoML) can enhance cybersecurity in next-generation 6G networks and Internet of Things (IoT) systems, with a focus on Intrusion Detection Systems (IDS). As 6G and IoT technologies evolve, they introduce increasingly complex and dynamic security challenges. 
主講人： Dr. Abdallah-Shami, Professor, IEEE Fellow, Western University, Canada
Abdallah Shami ([email protected]) is a Professor in the Electrical and Computer Engineering Department, Western University, London, ON, Canada, where he is also the Director of the Optimized Computing and Communications Laboratory. Dr. Shami is a fellow of the Canadian Academy of Engineering (CAE). He has chaired key symposia for the IEEE GLOBECOM, IEEE International Conference on Communications, and IEEE International Conference on Computing, Networking and Communications. He was the elected Chair of the IEEE Communications Society Technical Committee on Communications Software and the IEEE London Ontario Section Chair. He is currently an Associate Editor of the IEEE Transactions on Information Forensics and Security and IEEE Communications Surveys and Tutorials journals..
報(bào)告時(shí)間：2025年5月15日 14：00-16：00，地點(diǎn)：楊詠曼樓717
主要與會(huì)者：信息學(xué)院相關(guān)專業(yè)的老師和學(xué)生。