主题：Process prediction based on interpretable machine learning

主讲人：欧阳春 副教授 澳大利亚昆士兰科技大学

讲座时间：11月04日（星期一）13:30-15:00

讲座地点：校本部诚明楼213会议室

主办单位：管理工程学院

主讲人简介：

Associate Professor Chun Ouyang is the Academic Lead in International and Engagement at the School of Information Systems and an Associate Investigator of the Centre for Data Science at Queensland University of Technology (QUT). As an active researcher in process mining, she is particularly interested in developing explainable analytics for process intelligence. She is the co-founder and leader of the "eXplainable Analytics for Machine Intelligence" research team (xami-lab.org), driven by a vision to foster fairness, transparency, and trust in data-centric Artificial Intelligent systems.

In the past decade, Associate Professor Ouyang has been awarded numerous grants and projects, including three Australian Research Council Discovery projects, two major research-industry projects funded by Australian Cooperative Research Centers, and three joint research-industry grants with Sun Yat-Sen University. To date, she has published over 100 research papers in international academic journals and conference proceedings, with a Google Scholar H-index of 30, an i10-index of 60, and a citation count about 6000. Among her research endeavors, she also serves as an assessor for national research grants from the Australian Research Council and international grants from the Netherlands Organization for Scientific Research and the Austrian Science Fund.