个人简介:

工学博士。于2002年毕业于浙江工业大学工业工程专业；于2009年1月毕业于上海交通大学工业工程与物流工程系，并获博士学位。曾于2007年4月至2008年4月，在美国俄亥俄州辛辛那提大学任访问学者。目前研究领域包括供应链运行优化，基于统计技术和人工智能算法的系统或过程优化，生产运作和调度优化等。

在《Robotics and Computer-Integrated Manufacturing》，《International Journal of Production Research》， 《Engineering Application of Artificial Intelligence》，《Expert Systems with Applications》等国内外期刊上以第一作者共计发表论文11篇，其中4篇SCI检索，7篇EI检索。受邀成为一些国际期刊审稿人，包括《International Journal of Advanced Manufacturing Technology》、《IEEE Transaction on Knowledge and Data Engineering》、《International Journal of Physical Sciences》、《Information Sciences》、《IEEE Transaction on Industrial Informatics》和《International Journal of Production Research》。曾作为主要研究人员参加了2项国家863项目和1项国家自然科学基金项目。将为本科生和研究生讲授《供应链管理》和《应用统计学》课程。

Shijin Wang, Male, received the B.S. degree in Industrial Engineering from Zhejiang University of Technology, Hangzhou, China, in 2002; and Ph.D. degree in Mechanical Engineering (Industrial Engineering) from Shanghai Jiao Tong University, China, in Jan. 2009. During the period from April.2007 to April2008, he worked in University of Cincinnati, Ohio, USA, as a visiting scholar. He is currently an assistant professor in Department of Management Science and Engineering, School of Economics & Management, Tongji University, China. His research interests include supply chain operation optimization, intelligent process control and optimization based on statistics and artificial intelligent techniques, production planning, scheduling and control optimization.

As the first author, Shijin Wang published 11 papers(Among them, 4 is SCI indexed and 7 is EI indexed) in Journals including “Robotics and Computer-Integrated Manufacturing”, “International Journal of Production Research”, “Engineering Application of Artificial Intelligence” and ”Expert Systems with Applications” etc. He was also invited to be a reviewer for these Journals: “International Journal of Advanced Manufacturing Technology”, ”IEEE Transaction on Knowledge and Data Engineering”, ”International Journal of Physical Sciences”, “Information Sciences”, “IEEE Transaction on Industrial Informatics” and “International Journal of Production Research”. As one of main participants, he was involved in two projects supported by National “863” High-Tech and one project supported by National Science Foundation of China (NSFC).

In the new semester, he will teach “Supply Chain Management” and “Applied Statistics” for undergraduate and graduate students.