2019年10月24日下午2：30在学科二号楼报告厅，我院邀请加拿大皇家科学院、工程研究院院士、滑铁卢大学教授庄卫华为我院师生作了题为“Reinforcement Learning-based Computing and Transmission Scheduling for LTE-U-Enabled IoT”的学术报告。此次报告由院长黑新宏教授主持，我院师生百余人参加了报告会。

会上，庄教授首先简单介绍了她的研究内容，阐述了基于5G发展、无线传输技术、边缘计算以及机器学习相关理论的研究状况，进而介绍了团队的现阶段工作进展。接着，重点介绍机器学习在无许可频谱（LTE-U）的物联网设备边缘计算中的应用，通过解决任务调度利用传输信道的最大化，介绍了一种基于Q-learning的可证明收敛任务调度算法，大大的提高了系统性能。

会后，我院师生与庄教授就边缘计算及深度学习相关问题展开了热烈的讨论，报告会在愉悦的氛围中完满结束。

专家简介：

Dr. Weihua Zhuang has been with the Department of Electrical and Computer Engineering, University of Waterloo, Canada, since 1993, where she is a Professor and a Tier I Canada Research Chair in Wireless Communication Networks. She is the recipient of 2017 Technical Recognition Award from IEEE Communications Society Ad Hoc & Sensor Networks Technical Committee, and a co-recipient of several best paper awards from IEEE conferences. Dr. Zhuang was the Editor-in-Chief of IEEE Transactions on Vehicular Technology (2007-2013), Technical Program Chair/Co-Chair of IEEE VTC Fall 2017 and Fall 2016, and the Technical Program Symposia Chair of the IEEE Globecom 2011. She is a Fellow of the IEEE, the Royal Society of Canada, the Canadian Academy of Engineering, and the Engineering Institute of Canada. Dr. Zhuang is an elected member in the Board of Governors and VP Publications of the IEEE Vehicular Technology Society.