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The Telfer School welcomes Xing Tan, a Post-Doctoral Scholar and expert in the area of Process Knowledge Representation and Reasoning. His research involves a sub-area of Artificial Intelligence dealing with how process knowledge can be represented symbolically and manipulated in order to allow computers to make automated inferences. Xing received his Ph.D in Industrial Engineering (Information Studies) from the University of Toronto. Most recently, as a Post-Doctoral Fellow at the Center for Technology in Government, University of Albany-SUNY, Xing contributed to the development of information-sharing networks to support consumer choice as part of research funded by the US National Science Foundation. In the past few years, he also worked for high-tech companies on projects funded by, among others, the Ontario Centres of Excellence and the Canadian Space Agency.

Xing's doctoral work involved formal descriptions of dynamic processes, complexity-theoretical analysis of processes, and their applications to graphical process modeling languages such as Petri nets and UML activity diagrams. Aside from its theoretical contributions, the work has practical implications in broad areas such as manufacturing, web services, enterprise modelling, and business process management. At the Telfer School, he is a member of the Mobile Emergency Triage (MET) research group which is headed by Professor Wojtek Michalowski. He will conduct research in health informatics, more precisely, in the area of automatic customization of multiple clinical practice guidelines. Xing is keen in interdisciplinary collaboration and is looking forward to extend his research into areas that employ Operational Research or/and Artificial Intelligence.

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