People

Biography

Yuhong Yan obtained her Ph.D. in 1999. She joined NRC in 2002. She is an Adjunct Professor in the Faculty of Computer Science at the University of New Brunswick.

Currently she works on two topics:
1) Adaptive Web services
Web services function as middleware for application integration, as well as modeling and management tools for business processes. Adaptive Web service processes can change their topology and business partners according to changing environment and to recover from occurred faults. Yuhong is studying how to use formal models, such as automata, process algebra and Petri net, to model Web service processes, and investigating computing algorithms for Web service monitoring, diagnosis and reconfiguration.

2) Monotonicity analysis in model abstraction and data mining
A qualitative model is a kind of symbolic model used for model-based reasoning, or more generally, automatic reasoning. The objective is to study how to build the qualitative model from numerical data. The concept of scale-based monotonicity was developed in 2004. The results of this study can be used for feature points detection, knowledge representation and data mining.

Yuhong is an active researcher and has published numerous papers in journals and conferences. She is regularly invited to give talks and tutorials at conferences. She is a member of the Association for Computing Machinery (ACM), the Institute of Electrical and Electronics Engineers, Inc (IEEE) and the American Association for Artificial Intelligence (AAAI).