Kewen Wang

Professor Kewen Wang is a faculty member in the School of Information and Communication Technology at Griffith University, where he has been actively working in computational logic, knowledge representation, and their applications in artificial intelligence for over 30 years. His research has led to the development of novel logics, computer languages, and systems for knowledge representation and reasoning.

• Broad research areas: Computational Logic, Knowledge Representation, Artificial Intelligence, Programming, Knowledge Graphs, Explainable AI, Ontology Reasoning, Rule Learning
• Key contributions: RLvLR (scalable rule learner for KGs), TyRuLe (typed rule learning), Drewer (Datalog+- query engine), ALBERT+CCR (CommonsenseQA model), auction design algorithms

His research has been widely cited in top venues like Artificial Intelligence, JAIR, ACM Transactions on Computational Logic, and conferences AAAI (Area Chair 2022-2025), IJCAI, KR. He has secured six ARC Grants (five Discovery, one Linkage) and smaller grants from NICTA, CSIRO, and Griffith University.

• Editorial roles: Area Chair for AAAI (2022-2025), Associate Editor for Journal of Web Semantics, TGDK
• Supervision: Has supervised over 15 PhD students including Hong Wu, Peng Xiao, and Pouya Omran
• Teaching: Courses in Intelligent Systems, Data Structures, Discrete Mathematics, and Robotics