Dr. Hui Yang
Research Fellow
Department of Computing and Communications
The Open University
Walton Hall
Milton Keynes, MK7 6AA
United Kingdom
Tel: +44-(0)1908-659033
Fax: +44-(0)1908-652140
Email: Hui.Yang@open.ac.uk
URL: http://users.mct.open.ac.uk/hy237
I am an research fellow in Department of Computing and Communications, The Open University. I am currently working on a JISC-Funded ComTax Project which is targeted to facilitate and improve the community-driven curation process of taxonomic databases by developing an automated tool to exploit the historic legacy of scientific literature.
My previous project was the EPSRC-Funded MaTREx project led by Prof. Bashar Nuseibeh and Prof. Anne De Roeck. MaTREx aims to investigate techniques for analysing natural language requirements, in order to discover, manage, and mitigate the negative effects of tacit knowledge in requirements.
Prior to moving to the Open University, I was a postdoctoral fellow in the Text Mining group at School of Computer Science, the University of Manchester. The BBSRC-Funded Bio-MITA project that I worked on was targeted to extract potentially useful term associations from biomedical literature for supporting biological knowledge discovery.
I obtained my PhD degree in Computer Science in University of Wollongong, Australia. My PhD project was concerned with distributed information retrieval (IR), which focused on the research issues on information source selection in distributed information environment.
My research mainly focuses on Natural Language Engineering, specifically Information Retrieval, Information Extraction, and Text Mining.
I collaborated with researchers from other disciplinary areas, and developed several intelligent information systems that make use of natural language processing (NLP) techniques combined with Machine Learning (ML), Data Mining (DM), and Artificial Intelligence (AI) approaches for information management and knowledge discovery.
These intelligent systems in particular are applied in Healthcare and Medical Informatics, Biodiversity, Bioinformatics, Requirements Engineering, and Web Search areas.