Dr Xiaojun Zeng

Senior Lecturer

Affiliations:

Machine Learning and Optimisation

Email:

x.zeng@manchester.ac.uk

Phone: +44 (0) 161 306 3362

Full contact details

ORCID: 0000-0002-2320-2495

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Overview

Dr. Zeng’s message for potential research students:

I welcome enquires from prospective postgraduate students interested in my fields of research. I am particular interested in students with either good background in computing or good background in Mathematics (such as Operation Research, Control Engineering, Automatic Control, Statistics, Applied and Pure Mathematics etc)

Biography

Dr Xiao-Jun Zeng received the B.Sc. degree in Mathematics and the M.Sc. degree in Control Theory and Operation Research from Xiamen University, Xiamen, China, in respectively and the Ph.D. degree in Computation from the University of Manchester, Manchester, U.K..

He has been with the School of Computer Science at the University of Manchester since 2002, where he is currently a Senior Lecturer in Machine Learning and Optimisation. From 1996 to 2002, he was with Knowledge Support Systems, Ltd. (KSS), Manchester, where he was a Scientific Developer, Senior Scientific Developer, and Head of Research, developing intelligent decision support systems which won the European Information Society Technologies (IST) Award in 1999 and Microsoft European Retail Application Developer (RAD) Awards in 2001 and 2003.

His current research interests include computational intelligence, machine learning, decision support systems, computational finance and game theory, health Informatics, data mining. He has published nearly 100 journal and conference papers in these areas and taken part in a number of funded research projects including UK EPSRC project “Hierarchical Fuzzy Systems: Method and Its Application to Strategic Pricing Decision Support for Retails”, 6th EU Framework Programme project “QoSIPS (Quality of Service and Pricing Differentiation for IP Services)”, 7th EU Framework Programme project "Linked2Safety" and "ECO2Clouds", industrial funded research project “Data Mining Approach to Pricing Decision Support and Revenue Management for Retail” and “Pricing Decision Support Systems for Petroleum”.

He has served to scholarly and professional communities in various roles including an Associate Editor of the prestigious IEEE Transactions on Fuzzy Systems, Special Session Chair of 2008 IEEE World Congress on Computational Intelligence, Program Chair of 2009, 2011, 2013 IEEE Symposium on Computational Intelligence in Control and Automation, Program Co-Chair of the 9th Int Conference on Fuzzy Systems and Knowledge Discovery, and an elected member of the EPSRC College.