Neal Snooke

Neal Snooke is a Lecturer in the Department of Computer Science at Aberystwyth University. His research focuses on Artificial Intelligence, model-based reasoning, temporal logic, and software analysis, with applications in UAV technology for environmental monitoring and failure analysis. He maintains the Marking Scheme and Feedback tool and has contributed to over 34 publications since 1997. Snooke has led projects such as the 2011–2014 EADS-funded study on Model Driven Architecture failure analysis.

Education: PhD (Wales), BSc.

Research Interests: Snooke’s work integrates AI with practical systems like UAVs for ecological tracking, glacier monitoring, and vegetation analysis. His recent studies include low-cost animal tracking systems and high-resolution ice sheet photogrammetry.

Publications: Over 30 peer-reviewed articles since 1997, with recent emphases on UAV applications, environmental modeling, and failure mode analysis. Key areas include UAV-based ice sheet dynamics and vegetation classification.

Grants/Projects: PI of the 2011–2014 EADS Innovation Works project on Model Driven Architecture failure analysis.

Personal: Enjoys kite surfing, mountain biking, and FPV drone building.