9月12日上午，应自动化学院杨旭教授的邀请，加拿大工程院院士、IFAC Journal Control Engineering Practice主编、加拿大阿尔伯塔大学化工系黄彪教授在机电信息楼1104会议室做了题为“机器学习基本方法及其在控制过程的应用”的学术报告会。本次报告会为自动化学院名家讲坛第十七讲，由杨旭教授主持，自动化学院副院长彭开香教授，院长助理丁大伟教授以及学院多名老师和40余名学生参加了本次报告会。
报告会伊始，杨旭教授向到场师生介绍了黄彪教授的学术经历和学术成就，我院副院长彭开香教授对黄彪教授的到访表示热烈欢迎并致辞。
在本次报告会上，黄彪教授从人工智能的历史出发，详细介绍了机器学习的发展过程和目前获得的主要研究成果。简明扼要的介绍深度学习核心算法和强化学习算法的基本原理，生动形象的展示了强化学习的示例应用，并且举实例说明强化学习在过程控制中的推广意义。全场报告结构清晰，逻辑严谨，通俗易懂，报告结束后全场掌声雷动，在场师生受益良多。
在讨论提问环节，在场老师和同学积极提问，思维火花迸发，黄彪教授一一耐心解答，并认为许多问题都非常有价值。在此次报告会中，黄彪教授和自动化学院师生进行了亲切的学术交流，丰富了同学们的知识，拓宽了他们在学术和科研上的眼界。最后，报告会在全场师生雷鸣般的掌声中圆满结束。
报告人简介：
Biao Huang received his Ph.D. degree in Process Control from the University of Alberta, Canada, in 1997. He held MSc degree (1986) and BSc degree (1983) in Automatic Control from the Beijing University of Aeronautics and Astronautics. He joined the University of Alberta in 1997 as an Assistant Professor in the Department of Chemical and Materials Engineering and is currently a Full Professor, and NSERC Senior Industrial Research Chair in Control of Oil Sands Processes. He is an IEEE Fellow, Fellow of the Canadian Academy of Engineering, and Fellow of the Chemical Institute of Canada. He is a recipient of many awards including Alexander von Humboldt Research Fellowship from Germany, Best Paper award from IFAC Journal of Process Control, APEGA Summit Award in Research Excellence, and Bantrel Award in Design and Industrial Practice, etc. He has published five books and many peer-reviewed journal papers. His research interests include process control, data analytics, machine learning, Bayesian inference. He is currently the Editor-in-Chief for IFAC Journal Control Engineering Practice, Subject Editor for Journal of the Franklin Institute, and Associate Editor for Journal of Process Control.
