معرفی
Dr James Dunn is a Lecturer and ARC DECRA Research Fellow in the School of Psychology at UNSW Sydney. His research focuses on face and person recognition, forensic science applications, and individual differences in cognitive performance, utilizing behavioral methods, machine learning, and eye-tracking technologies.
- Education: BSc(Adv) (Psychology) 2012, Ph.D. 2018 - UNSW Sydney
- Research Themes: Face Recognition, AI Applications, Forensic Science, Cognitive Assessment, Individual Differences, Visual Processing
- Grants: ARC DECRA (2025-2028), Royal Society Marsden Fund (2024-2027), Office of National Intelligence Postdoctoral Grant (2023-2025)
His work bridges theoretical research with practical applications in high-stakes environments, particularly focusing on improving accuracy in identity verification and criminal investigations through collaborations with Australian Federal Police and NSW Police. He is also a member of the Psychology Equity, Diversity & Inclusion team at UNSW.
Dr Dunn's publications demonstrate a consistent focus on face recognition expertise, visual information sampling, and forensic applications of AI. His research has been featured in top journals including Psychological Science, Journal of Experimental Psychology, and Scientific Reports, with recent work exploring AI-hyperrealism detection and computational value of facial information sampling.
Scientific Awards
- Australian Research Council (ARC) Discovery Early Career Researcher Award (DECRA)
- Royal Society Te Apārangi Marsden Fund Grant
- Office of National Intelligence National Intelligence Postdoctoral Grant
- Early Career Impact Award - 2024
- Community, Health & Safety, and Wellbeing Impact Award - 2023
- UNSW Science Early Career Academic Award - 2021
As an educator, Dr Dunn coordinates courses in forensic psychology and psychology & law, while lecturing on perception and cognition topics. He supervises PhD students including Daniel Chu, and contributes to professional training programs for forensic practitioners. His research has significant implications for security systems, law enforcement practices, and AI development in facial recognition technologies.
