西安交大beat365亚洲体育在线官网大数据管理与应用系列讲座之——

澳大利亚昆士兰科技大学Prof. Arthur ter Hofstede学术讲座

【讲座题目】 Business Process Management Research at Queensland University of Technology

【讲座嘉宾】Prof. Arthur ter Hofstede, 澳大利亚昆士兰科技大学

【讲座时间】9月12日（星期六）上午10:00-11:30

【讲座地点】 beat365亚洲体育在线官网七楼7002室

【摘要】：Business Process Management (BPM) is a discipline that takes a process-oriented lens on organizations. 

Formal models of business processes play a key role in this field. A process model captures the tasks of a business process 

and the order in which they need to be performed, the data that is used and/or produced by these tasks, and the resources, 

human or otherwise, that are involved in these tasks. Research in BPM has focussed on a wide range of topics, empirical

and technical, including modelling concepts (e.g. the workflow patterns, www.workflowpatterns.com), process automation

 (e.g. YAWL, www.yawlfoundation.org), and, more recently, process mining (www.processmining.org). In this talk, research 

at Queensland University of Technology in the area of BPM will be showcased and some prominent open-source software 

artifacts will be demonstrated.

【讲座人简介】：

Arthur ter Hofstede is a Professor in the Information Systems School in the Science and Engineering Faculty, Queensland 

University of Technology, Brisbane, Australia, and is Head of the Business Process Management Discipline. He is also a 

Professor in the Information Systems Group of the School of Industrial Engineering of Eindhoven University of Technology, 

Eindhoven, The Netherlands. His research interests are in the areas of business process automation and process mining.  

He has been a visiting professor of Sapienza University of Rome (Rome, Italy) and a senior visiting scholar at Tsinghua 

University (Beijing, China).  In September 2015, he was awarded the "BPM Test of Time Award" together with Professors 

Alistair Barros and Marlon Dumas for a paper on Service Interaction Patterns which was published in the BPM 2005 

proceedings. According to Google Scholar, his h-index is 64 and his work attracted more than 21,000 citations.