报告地点：信息楼自动化学院310报告厅
ZOOM（会议ID：983 8099 5221，密码：201126）
报告时间：11月26日（星期四）10:30
报 告 人：黄彪，阿尔伯塔大学教授
报告题目：Robustness in Data Analytics
内容简介：Modern industry is awash with a large amount of data. While useful information may be buried in some of data waiting for discovery, others may simply be noises. Extraction of information and knowledge discovery from data, particularly from day by day routine process operating data, is challenging. There are numerous issues such as data nonlinearity, non-Gaussian, high dimensionality, collinearity, multiple modes, outliers, missing measurement etc that must be considered during the information extraction process. This presentation will focus on one of the most important issues in Data Analytics from theoretical perspective, namely the robustness. The presentation introduces probabilistic approaches to coping with robustness issues in data analytics.
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 is currently a Professor with the University of Alberta, IEEE Fellow and Fellow of the Canadian Academy of Engineering. He is 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.