 | Jacques Fleuriot | My main field of research lies in AI Modelling, which spans areas such as interactive theorem proving, formal verification, process modelling, and machine learning and Explainable AI techniques applied to healthcare and other complex domains. |
 | Petros Papapanagiotou | AI for collaborative workflow management. This includes formal verification, process modelling, analysis and optimisation, IoT, event-based and distributed systems, and social machines. |
 | Guillermo Romero Moreno | Interdisciplinary research in AI, ML, and network science applied to various areas, such as politics, health, biology, robotics, etc. |
 | Imogen Morris | Formalising mathematical proofs, in particular from Euler's Introductio, with the aid of the proof assistant Isabelle/HOL. |
 | Jake Palmer | Formalising and verifying voting methods using interactive theorem proving in Isabelle/HOL. |
 | Mark Chevallier | Formal verification of machine learning algorithms and their properties. |
 | Jorge Gaete Villegas | Explainable AI for healthcare. |
 | James Vaughan | Applications of ML and Network Theory in Automated Theorem Proving; Business Process Modelling and IoT. |
 | Filip Smola | Interactive theorem proving and formal verification, with application to automatic differentiation, category theory and process calculi. |
 | Jiawei Zheng | Uncertainty in complex event processing, process mining, and conformance checking. |
 | Lauren DeLong | Artificial Intelligence and medicine/healthcare. |
 | Zonglin Ji | Artificial Intelligence for the care of older people. |
 | Richard Schmoetten | Formalising Haag-Kastler Nets in Higher-order Logic. |
