Bevan Koopman

Bevan Koopman is an academic affiliated with Queensland University of Technology (QUT), holding a Lecturer position within the School of Computer Science's Department of Computer Science. He completed his PhD in 2014, focusing on semantic search applications in health informatics. His research emphasizes medical information retrieval, task-oriented search systems, and clinical query generation. Key contributions include developing the Relevation! open-source relevance assessment tool and advancing semantic inference models for healthcare applications. Koopman collaborates with the QUT ielab, contributing to projects like consumer health search systems and systematic review methodologies. His work bridges computer science and healthcare, addressing challenges in clinical data integration, medical terminology utilization, and evidence-based medicine systems.

• PhD in Semantic Search (2014, QUT)
• Co-developer of the Relevation! system
• Active contributor to TREC and CLEF health IR tracks

Research interests span medical informatics, health search systems, and natural language processing in clinical contexts. His work has been published in venues like Journal of the Association for Information Science and Technology and ECIR conferences.