Xiaojun Zeng

Prof

Personal profile

Biography

Google Scholar Publication and Citation Records 

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, respectively and the Ph.D. degree in Computation from the University of Manchester, Manchester, U.K..

 He has been with the Department of Computer Science at the University of Manchester since 2002, where he is currently a Professor of 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 200 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", EU H2020 Project "Big Data in Finance", 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.  

Research interests

  • Computational intelligence
  • Machine learning
  • Decision support systems
  • Computational finance and game theory
  • Energy demand side mangement
  • Health Informatics
  • Data mining

My group

Other research

EU Project: (IoTrain ERASMUS+) Master of Engineering in Internet of Things

The IoTRAIN project is an EU-funded consortium-based project towards capacity building in higher education (see more). IoTRAIN aims to achieve the modernization and internationalization of higher education in Iran and Iraq, taking into account the huge changes introduced by Internet technologies in society and business, and to design, develop and enact teaching, peer-production and continuous improvement processes. The project has started at 15-11-2020 and will end at 14-11-2023.

About Project

According to the survey of World Economic Forum, IoT aims to train one of the top technological drivers of change for the future of jobs, employment, skills and workforce strategy in the 4th Industrial Revolution. Forbes considers big data, data analytics, embedded smart sensors, remote monitoring systems, and machine learning as top 5 engineering skills in 2020. In order to prepare the society for such an enormous diversity, modernising Higher Education (HE) towards integrating IoT skills for engineers is an extreme need. Consequently, providing a series of educational training that improves competitiveness and employability of engineers by 2025 is a must to address. The technological revolution happening by IoT as well as associated skills and expertise gaps by 2020 are not limited to Europe, but also influencing developing countries. As evidence, the middle-east and Africa is expected to invest USD 14.3 Billion on IoT by 2020 to keep up with the fast pace of development in this regard. The main goal of the IoTRAIN project is to achieve the modernization and internationalization of higher education in Iran, taking into account the huge changes introduced by Internet technologies in society and business, and to design, develop and enact teaching, peer-production and continuous improvement processes. IoTRAIN is particularly designed to target the growing demand of professional IIoT skills by enhancing the IIoT-related trainings in Iranian HE institutions (HEI). In this regard, IoTRAIN covers a careful analysis of existing and future technological gaps in IIoT and provides required trainings towards improving competitiveness of future Iranian engineers. IoTRAIN delivers an IIoT competence model consisting of the state-of-the-art skills in IIoT at the European and international standard levels. The provided model adopts up-to-date training materials of the European partners of the project and provides necessary high-level training with the aim of improving competitiveness of future Iranian. Furthermore, IoTRAIN delivers a Digital Engineering competence model consisting of the state-of-the-art skills in digitalization for engineers and experts following European and international standards.

Project Web Site: https://www.iotrain.eu/

Project Team:

Prof. Xiao-Jun Zeng
Prof. John Keane
Dr Chai Yuan

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy

Research Beacons, Institutes and Platforms

  • Sustainable Futures
  • Digital Futures
  • Christabel Pankhurst Institute

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