学术活动发布与订制系统

Wil van der Aalst is a full professor at the Department of Mathematics & Computer Science of the Eindhoven University of Technology (TU/e) where he chairs the Architecture of Information Systems (AIS) group. He also has a part-time appointment in the BPM group of Queensland University of Technology (QUT).

Prof.dr.ir. Wil van der Aalst's research interests include workflow management, process mining, Petri nets, business process management, process modeling, and process analysis. Wil van der Aalst has published more than 130 journal papers, 16 books (as author or editor), 250 refereed conference/workshop publications, and 50 book chapters. Many of his papers are highly cited (he has an H-index of 83 according to Google Scholar, making him the Dutch computer scientist with the highest H-index).

He has been a co-chair of many conferences including the Business Process Management conference, the International Conference on Cooperative Information Systems. He is also editor/member of the editorial board of several journals, including the Distributed and Parallel Databases. He is a member of Academy of Europe and also a member of the Royal Holland Society of Sciences and Humanities.

Configurable Process Models

Process mining techniques are able to extract knowledge from event logs commonly available in today's information systems. These techniques provide new means to discover, monitor, and improve processes in a variety of application domains. There are two main drivers for the growing interest in process mining. On the one hand, more and more events are being recorded, thus, providing detailed information about the history of processes. On the other hand, there is a need to improve and support business processes in competitive and rapidly changing environments. This manifesto is created by the IEEE Task Force on Process Mining and aims to promote the topic of process mining. Moreover, by defining a set of guiding principles and listing important challenges, this manifesto hopes to serve as a guide for software developers, scientists, consultants, business managers, and end-users. The goal is to increase the maturity of process mining as a new tool to improve the (re)design, control, and support of operational business processes.