I have 2 papers accepted for publication at AAMAS 2019, a premier AI conference.
Paper on medical decision support using Assumption-Based Argumentation with Preferences.
Paper on complexity and implementations of Bipolar Assumption-Based Argumentation.
I work on the following
I am particularly interested in explainable reasoning using symbolic AI, in applications ranging from optimisation to medical decision support.
I am part of the mAchine arguIng consortium.
We build Transparent Argumentative Intelligence for explainable AI.
EPSRC project: Resource Optimisation, Argumentation, Decision support and Knowledge Transfer to create Value via Learning Health Systems.
I apply computational argumentation methods to explainable reasoning with clinical guidelines and integration with optimisation.
I have driven the development of a methodology to explain primary legislation outcomes.