Rate My Professor Christian Wagner

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.).