2016年6月16日，浙江大学葛志强博士应邀访问我校。葛志强博士是实验室开放课题“基于机器学习的非稳态过程统计监测方法研究”的负责人。此次来访，为实验室有关师生作了题为“Semi-supervised data modeling and analytics in the process industry”的精彩学术报告。信息科学与工程学院院长、教育部重点实验室副主任杜文莉教授主持了报告会。
       在报告中，葛志强博士从流程工业中数据分析的重要性谈起，讲述了半监督数据结构的研究背景和动机，接着分别就几类常见的半监督数据的建模进行讲解，并结合自己近年来的研究成果，从理论到实验验证向在座的师生详细的进行了分析。最后对报告做了总结，并对未来的研究进行了展望。

葛志强博士简介：Dr. Zhiqiang Ge received his B.Eng. degree and Ph.D. degree in Department of Control Science and Engineering from Zhejiang University in 2004 and 2009, respectively.  He was a Research Associate in Department of Chemical and Biomolecular Engineering, HKUST during 2010.7 and 2011.12. Between 2013.1 and 2013.5, Dr. Ge was a Visiting Professor of Department of Chemical and Materials Engineering, University of Alberta, Canada. He was an Alexander von Humboldt Research Fellow between 2014.11 and 2016.04 at University of Duisburg-Essen, Germany. Currently, he is an Associate Professor at College of Control Science and Engineering, Zhejiang University. Dr. Ge’s research interests are in the general areas of data mining, modeling and analytics in industrial processes, with emphases on process monitoring and fault classification, soft sensing, KPI prediction and diagnosis, and big data applications.

图片说明：葛志强博士来访重点实验室