2017年6月9日上午，加拿大Alberta大学教授，加拿大工程院院士黄彪教授，应我院杨旭副教授的邀请，来到自动化学院，在机电信息楼1104会议室，做了题为“Bayesian Inference for Process Data Analytics from Control Engineering Perspective”的学术报告。我院尹怡欣教授、童朝南教授、陈先中教授、彭开香教授等出席会议，和自动化学院部分老师及研究生一同聆听了此次学术报告。
报告会开始，杨旭向在场师生简单介绍了黄彪的学术经历和学术成就，尹怡欣代表学院师生对黄彪的到访表示热烈的欢迎，之后，学术报告正式开始。
报告会上，黄彪从概率（后验分布）的角度入手，讲述了贝叶斯估计的一般顺序；然后结合其在状态估计、卡尔曼滤波器、故障诊断、因果分析、软测量等方面的具体应用，阐述了贝叶斯估计在过程控制中的可行性与重要性。整个报告过程简洁清晰，深深吸引了大家的注意。
报告会最后，与会的多位老师及同学们结合自己的研究领域有针对性的提出了自己的问题和想法，与黄彪进行了深入的交流与探讨。黄彪的学术报告，使我院师生对贝叶斯理论有了更多的认识，在今后的学术、科研方面有了更多的想法。报告会伴随着热烈的掌声圆满结束。
报告人简介：
Biao Huang obtained his PhD degree in Process Control from the University of Alberta, Canada, in 1997. He had 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 Professor, NSERC Senior Industrial Research Chair in Control of Oil Sands Processes and Alberta Innovates Industry Chair in Process Control. He is a Fellow of the Canadian Academy of Engineering, Fellow of the Chemical Institute of Canada, and recipient of Germany’s Alexander von Humboldt Research Fellowship and Chinese Education Ministry’s Changjiang Scholar. He received a best paper award from Journal of Process Control. Biao Huang’s research interests include: process data analytics, system identification, control performance assessment, fault detection and isolation, and soft sensors. He has applied his expertise extensively in industrial practice. He has published 5 books, 300+ peer-reviewed journal papers, and over 200 conference papers/presentations. Biao Huang currently serves as Deputy Editor-in-Chief for IFAC Journal Control Engineering Practice, Subject Editor for Journal of the Franklin Institute, Associate Editor for Journal of Process Control, and Associate Editor for Canadian Journal of Chemical Engineering.
（责编：贡星悦）
