Xiao-Jun Zeng

Xiao-Jun Zeng is a Professor of Machine Learning at the University of Manchester, Department of Computer Science. His research interests include computational intelligence, machine learning, decision support systems, computational finance and game theory, health informatics, and data mining. He has been with the Department of Computer Science at the University of Manchester since 2002. Prior to joining the university, he was with Knowledge Support Systems, Ltd. (KSS), Manchester, where he was a Scientific Developer, Senior Scientific Developer, and Head of Research. He has published nearly 200 journal and conference papers and has participated in several funded research projects. He has also served in various roles within scholarly and professional communities.

Xiao-Jun Zeng is a researcher in the Department of Computer Science at the University of Manchester, specializing in Computational Intelligence, Machine Learning, Functional Data Analysis, and Decision Support Systems. His work explores the intersection of these fields, with applications in areas such as financial forecasting, medical data analysis, and intelligent decision-making systems. Zeng's research includes the development of advanced fuzzy systems, hesitant fuzzy linguistic term sets, and multi-criteria decision-making frameworks. He has also contributed to the application of reinforcement learning in smart ship navigation and energy management in microgrids. His publications highlight the use of data-driven approaches for complex real-world problems.