Jun Wang is Senior Lecturer in University College London. His main research interests are in the areas of information retrieval and intelligent multimedia systems. His research has been dedicated to building an Intelligent (text and non-textual media) System that can access, retrieve, change and design the media content and its representation in such a way that it is adaptive to the environment and context, and suitable for an individual person. To achieve the goal, Dr. Wang has studied statistical modelling of information retrieval, social “the wisdom of crowds” approaches for content understanding and access (collaborative filtering (recommendation)), peer-to-peer information retrieval and filtering, and, multimedia content analysis. Recently, he has developed an interest in “Web Economy” where he intends to unify information retrieval and economic models for Web ecosystems.

Dr. Wang has published over 50 research papers in leading journals and conference proceedings including ACM Trans.on Information Systems, IEEE Trans. on Multimedia, ACM Multimedia System Journal, ACM SIGMM, ACM SIGIR. He was a recipient of the Beyond Search – Semantic Computing and Internet Economics award sponsored by Microsoft Research, USA in 2007; he also received the Best Doctoral Consortium award in ACM SIGIR06 for his work on collaborative filtering, the Best Paper Prize in ECIR09 for his work on applying Modern Portfolio Theory of Finance (Mean-variance Analysis) to document ranking in Information Retrieval, and the Best Paper Prize in ECIR12 for top-k retrieval modelling.