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. |

## AIML Visitors/Interns

Mustafa Abdelwahed | I am interested in topics related to Knowledge representation, automated reasoning, logic programming, and sequential decision-planning. | |

Matthew Whyte | Combining logic and neural networks for formal verification |

## Masters Students

Scott O’Donoghue | Interpretable machine learning models with applications in healthcare |

## 5th Year Undergraduates (MInf)

Michal Baczun | Business process simulation | |

Dimitris Christodoulou | Activity tracking and localisation using Wi-Fi data | |

Carlin Mackenzie | Developing an online proof archive for formalized mathematics |

## 4th Year Undergraduates (BSc)

Lars Werne | Formalisation of Newtonian Physics in Isabelle/HOL | |

Dawson Silkenat | Formalisation of Lagrangian Mechanics in Isabelle/HOL | |

Martin Lewis | Web development for business process simulation | |

Michal Sadowski | Workflow execution and management |

## Recent AIML Alumni

Callum Abbott (MSc, 2021) | Causal inference for developing explainable AI in healthcare (MSc in Statistics with Data Science thesis prize) |

Yefei Chen (MSc, 2021) | Designing checklists generated from process models |

Qi Chen (MSc, 2021) | Delay visualization in process timelines |

Mathis Gerdes (MSc, 2021) | Investigating causality in axiomatic Minkowski spacetime using Isabelle/HOL |

Cyan Hou (MSc, 2021) | A web framework for negotiation strategies in multi-agent meeting scheduling |

Shilin Li (MSc, 2021) | Incorporating cultural preferences in meeting scheduling applications |

Alice Johansen (BSc, 2021) | Formalisation of proofs from Euler’s Foundations of Differential Calculus using Nonstandard Analysis (I) |

Richard Stansfield (BSc, 2021) | Formalisation of proofs from Euler’s Foundations of Differential Calculus using Nonstandard Analysis (II) |

Richard Schmoetten (MSc, 2020) | Axiomatic Minkowski Spacetime in Isabelle/HOL |

Colleen Charlton (MSc, 2020) | Interpretable classifiers for brain tumour prediction |

Anita Klementiev (MSc, 2020) | Process mining techniques for modelling healthcare patients’ paths in the ICU/CCU |

Yannan Huang (MSc, 2020) | Process analytics for the training of future doctors |

Demetris Louca (MSc, 2020) | Analysis of process miners |

Yaqing Jiang (PhD, 2019) | Machine Learning for Inductive Theorem Proving |

Callum Biggs-O’May (MSc, 2019) | Investigating Brain Cancer Survival with Machine Learning (Outstanding Informatics MSc thesis 2019) |

Kezhi (Bill) Chen (MSc, 2019) | Delay Analysis in Manufacturing Process |

Ka Wing Pang (MSc, 2019) | Exploring Streams with Isabelle/HOL |

Jessika Rockel (MSc, 2019) | Exploring Euler’s Foundations of Differential Calculus in Isabelle/HOL using Nonstandard Analysis: Logarithms (Outstanding Informatics MSc thesis 2019) |

Simon Thorogood (MSc, 2019) | Predicting Transplant and Patient Survival Following Liver Transplantation using Machine Learning (MSc in Data Science thesis prize 2019) |

Zuzana Frankovska (BSc in Computer Science and Mathematics, 2019) | Exploring Euler’s Foundations of Differential Calculus in Isabelle/HOL using Nonstandard Analysis: Geometric Series and Arcsine |

Filip Smola (Summer Intern, 2019) | DigiFlow: Digitizing Industrial Workflow, Monitoring and Optimization |

Kyriakos Katsamaktsis (MMath, 2018; Summer Intern, 2019) | Exploring Euler’s Notions of Orders of Infinity in Isabelle/HOL using nonstandard analysis (MMaths Project Prize 2018) |

Nigel Hussain (MSc, 2018) | Business Process Modelling of Care Pathways for HIV Patients |

James Vaughan (MSc, 2018) | Learning over Isabelle’s Dependency Graphs |

Hristo Saev (BSc, 2018) | Developing a Social, Open, Peer Review Web Platform |

Ruitao Yi (Summer Intern, 2018) | Formalization of the Backpropagation Algorithm |

Steven Obua (Senior Research Fellow, 2014-2017) | ProofPeer: Collaborative Theorem Proving |

Phil Scott (Research Fellow, 2014-2017) | ProofPeer: Collaborative Theorem Proving |

Imogen Morris (BSc, 2017) | An Axiomatic Formalisation of Trigonometric Functions in Isabelle (BSc Maths Project Prize 2017) |

Jake Palmer (MSc, 2017) | A Mechanized Investigation of an Axiomatic System for Minkowski Spacetime |

Eirini Papakosta (MSc, 2017) | An Interactive, Web-based Platform for Pulmonary Rehabilitation |

Lie (Jessie) Ma (MSc, 2017) | An Interactive, Web-based Platform for Pulmonary Rehabilitation |

Daniel Raggi (Research Assistant, 2017) | Entailment Graphs in Isabelle/HOL |

Alisa Dewanti (MSc, 2016) | Developing workflow-based guidelines for burns care in Scotland |

Vanessa Hanschke (MSc, 2016) | A Social Machine for the Heart Manual Programme |

Sebastian Schulze (BSc, 2016; Summer Intern 2016) | Evolving Neural Networks for Natural Deduction Proofs |