School of Electronic Engineering and Computer Science

Bayesian Artificial Intelligence for Optimal Decision Making

Supervisor: Dr Anthony Constantinou

Research group(s): Risk & Information Management

Do you enjoy working with probabilities, data, and algorithms? Are you interested in developing models that simulate real-world events for prediction, risk assessment and decision making under uncertainty? The project will focus on both the theory and application of Bayesian networks, and their extended form Bayesian Decision Networks, for intelligent decision making. Research may also extend to counterfactual reasoning. The project will be adjusted to the skills and interests of the successful candidate. For example, theoretical advancements may be evaluated by applying them to an area (or areas) of your interest, such as in economics, finance, medicine, gaming, and sports.