Rate My Professor Zhe Wang

Dr. Zhe Wang is a Senior Lecturer in the School of Information and Communication Technology at Griffith University. He received his PhD degree in Computer Science from Griffith University, completing his doctoral studies from 2007 to 2011 in the School of Information and Communication Technology. Since 29 June 2015, he has held a lecturer position at the university, advancing to Senior Lecturer. His research centers on artificial intelligence, with specific focus areas including knowledge graphs, semantic technologies, knowledge representation and reasoning, and explainable AI technologies applied to decision-critical domains.

Dr. Wang teaches undergraduate and postgraduate courses, including Introduction to Artificial Intelligence (7006ICT) and Introduction to Cyber Security. He is dedicated to providing students with the knowledge and confidence needed for successful careers in technology fields. His scholarly work has garnered over 2,500 citations on Google Scholar. Notable publications include 'Rule Learning over Knowledge Graphs: A Review' (2023), 'Forgetting for Knowledge Bases in DL-Lite' (2010), 'Query Abduction for ELH⊥ Ontologies' at the 29th AAAI Conference on Artificial Intelligence (2015), 'DL-Lite Contraction and Revision' (2016), and 'An Embedding-based Approach to Rule Learning in Knowledge Graphs' (2020). These contributions highlight his influence in semantic technologies, ontology evolution, and knowledge-based reasoning systems. Additional research outputs address rule mining via transfer learning (PAKDD 2019) and type-enhanced inductive knowledge graph completion (2023), further demonstrating his impact on AI advancements.