Duncan Mullier

Duncan Mullier is a Senior Lecturer at Leeds Beckett University within the School of Built Environment, Engineering and Computing. He teaches across a range of computing programs including BSc (Hons) Computing, BSc (Hons) Computer Forensics, and MSc Software Engineering, focusing on programming in Java and C#.

His research interests lie in Artificial Intelligence, particularly neural networks and pattern recognition. He has contributed to advanced projects such as the DSCENT project, which applies AI techniques to identify terrorist behavior. His background also includes significant software engineering contributions across academic and applied domains.

Duncan earned his PhD in 1999 for research in artificial intelligence and neural networks. Before entering academia, he worked professionally as a games programmer for PlayStation and as an engineering programmer for Network Rail, bringing substantial industry experience into his teaching and research.

The recent research trends reflect a strong focus on applying machine learning to security and behavioral analysis, with software engineering serving as a foundational skill across all projects.

• PhD: Artificial Intelligence and Neural Networks for Pattern Recognition (1999)

Professional Background:

• Games Programmer, PlayStation
• Engineering Programmer, Network Rail

He is actively engaged in teaching and research with no indication of part-time status, retirement, or former affiliation. His office is located at Leighton, G13, Headingley Campus, Beckett Park.