Rate My Professor Christian Wagner

Christian Wagner is a Professor of Computer Science in the School of Computer Science, Faculty of Science, at The University of Nottingham. He completed his BSc in Computer Science and MSc in Robotics and Embedded Systems at the University of Essex, UK, in 2004 and 2005 respectively, before receiving his PhD in Computer Science in 2009. He has held visiting professor appointments at the Institute of Computing and Cybersystems, Michigan Technological University, and the Department of Social and Decision Sciences, Carnegie Mellon University, USA. At Nottingham, Wagner co-leads the Intelligent Modelling and Analysis (IMA) research group and is the founding director of the Lab for Uncertainty in Data and Decision Making (LUCID). LUCID specializes in capturing, modelling, and reasoning with uncertain data using fuzzy logic approaches, including type-2 fuzzy sets, non-stationary fuzzy sets, intuitionistic fuzzy sets, and rough sets.

Wagner's research focuses on modelling uncertain data from heterogeneous sources, including domain experts and stakeholders, to design interpretable and interactive AI-based decision support systems. His interdisciplinary work bridges computer science, social sciences, and psychology, with applications in cyber security, environmental management, smart product design, and manufacturing control. He has developed open-source software frameworks such as Juzzy and JuzzyOnline. In 2017, he was recognized as a RISE Connector by the UK Engineering and Physical Sciences Research Council. Wagner serves as Associate Editor for IEEE Transactions on Artificial Intelligence and Mathematics, Vice President for Technical Activities of the IEEE Computational Intelligence Society (2024-2025), elected member-at-large of the IEEE CIS AdCom, IEEE CIS climate lead, and Vice-Chair of IEEE CIS Task Forces on Cyber Security and Affective Computing. He was General Co-Chair of the Fuzz-IEEE 2021 conference. Key publications include 'Toward general type-2 fuzzy logic systems based on zSlices' (IEEE Transactions on Fuzzy Systems, 2010, with H. Hagras), 'Juzzy – A Java based toolkit for Type-2 Fuzzy Logic' (2013), 'Towards data-driven environmental planning and policy design—leveraging fuzzy logic to operationalize a planning framework' (2014, with A. Pourabdollah et al.), and 'Input Uncertainty Sensitivity Enhanced Non-Singleton Fuzzy Logic Controllers for Long-Term Navigation of Quadrotor UAVs' (IEEE/ASME Transactions on Mechatronics, 2018, with C. Fu et al.).