Dr. Xing Tan is an Assistant Professor of Computer Science at Lakehead University. He earned his Ph.D. in Industrial Engineering from the University of Toronto. Dr. Tan's research spans the intersection of Operations Research, Artificial Intelligence, and Computer Science. Meanwhile, he has several years of teaching experience at Canadian universities, specializing in a diverse range of subjects related to Computer Science and Information Technology.
Complexity Analysis and Algorithm Design for AI and OR problems, Knowledge Representation and Reasoning, Ontologies, Processing Modeling
Specifically, Dr. Tan's active research focuses on process knowledge representation and reasoning, emphasizing symbolic representation of complex process knowledge, knowledge manipulation for automated inferences, and computational complexity analysis. This research combines optimization, complexity analysis, and algorithmic approaches to address various problem domains. His work has been published in top-tier venues in Artificial Intelligence and Information Technology, such as AAAI, IJCAI, ECAI, SIGIR, ICAPS, and FOIS.