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Dr Mu Mu

Senior Research Associate

Mu Mu


Lancaster University


Lancaster LA1 4WA

United Kingdom


Research overview

Leveraging social information and information technologies to improve user experience in multimedia content retrieval, distribution and interaction.

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Dr. Mu Mu received his Bachelor's degree of Automation Engineering from Nanjing University of Aeronautics and Astronautics, China in 2002. His Master's degree of Science was awarded by the faculty of Electrical Engineering and Information Technology, Darmstadt University of Technology, Germany in 2006. In 2007, He joined the School of Computing and Communications at Lancaster University, where he conducted research on the topic of quality of experience (QoE) in content distribution networks. His degree of PhD in Computer Science was awarded by Lancaster University in July 2011. The title of his PhD thesis is "Parametric Assessment of Video Quality in Content Distribution Networks". He is now a Senior Research Associate at Lancaster University.

Dr. Mu has been a named researcher of European Commission (EC) Framework Programme 6 (FP6) Network of Excellence (NoE) project - CONTENT where he worked on integrated video quality assessment in content networks and EC FP7 project - P2P-Next where he designed a quality evaluation framework for P2P IPTV networks. His work also contributed to the UK Research Council’s Digital Economy Programme FIRM (Framework for Innovation and Research at MediaCityUK). Since 2013, he also takes on project management and research responsibilities in EC FP7 STEER (social informatics and media distribution) and EC FP7 FI-CONTENT 2 (future media internet). He also contributes to the EC FP7 project OFELIA (software defined networks).

Dr. Mu is the lead system designer of Lancaster Vision social IPTV system (vision.lancaster.ac.uk) and Storisphere storytelling platform (www.storisphere.com) enabling researches in the area of content analysis, content retrieval, multimedia authoring, multimedia distribution, software defined networks, and social network analysis.

His current research interests include creative media co-authoring, context-aware media systems and content networking, subjective/objective quality assessment/management, and social network analysis.

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