Prof Bernie Tiddeman

BSc Applied Mathematics (St Andrews), MSc Computer Science (Manchester), PhD Computing and Electrical Engineering (Heriot-Watt)

Prof Bernie Tiddeman

Professor in Computer Science

Department of Computer Science

Contact Details

2021-present Professor, Aberystwyth University

2015-2021 Reader, Aberystwyth University

2010-2015 Senior Lecturer, Aberystwyth University

2002-2010 Lecturer, Computer Science, University of St Andrews

1999-2002 Postdoctoral Research Assistant, Psychology, University of St Andrews: developed improved texture analysis and synthesis for research in facial perception.

1994-1998 PhD Facial Morphanalysis, Heriot-Watt University

1993-1994 MSc Computer Science, University of Manchester

1989-1992 BSc Applied Mathematics, University of St Andrews

  • Departmental Director of Learning and Teaching
  • Director of Vision, Graphics and Visualisation Group
  • University Disciplinary Investigating Officer

My research is mostly in the area of Computer Vision, but also touches on other areas including Machine Learning, Computer Graphics, Augmented Reality,  Psychology, and Robotics.  Some recent projects have included automatic counting, measuring ans sexing crabs and lobsters for stock monitoring in Welsh fisheries, development of a vision / control system for a strawberry picking robot, developing a risk model for the out-of-distribution problem in medical image analysis, investigating efficient proxies for neural arichetecture search, and developing improved methods for the segmentation and measurement of 3D point clouds of plants.

CymruFluency - A Fusion Technique and a 4D Welsh Dataset for Welsh Fluency Analysis. / Bali, Arvinder Pal Singh; Tam, Gary K.L.; Siris, Avishek et al.
Advanced Concepts for Intelligent Vision Systems - 22nd International Conference, ACIVS 2025, Proceedings. ed. / Jacques Blanc-Talon; Patrice Delmas; Hiroki Takahashi; Minami Yasuhiro. Springer Nature, 2026. p. 96-108 (Lecture Notes in Computer Science; Vol. 15656 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (ISBN)

Adversarial diffusion for few-shot scene adaptive video anomaly detection. / Zahid, Yumna; Zarges, Christine; Tiddeman, Bernard et al.
In: Neurocomputing, Vol. 614, 128796, 21.01.2025.

Research output: Contribution to journalArticlepeer-review

Evolutionary Neural Architecture Search using Random Weight Distributions. / Gregory Dal Toe, Seb; Tiddeman, Bernard; Zarges, Christine.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2025, Málaga, Spain, July 14-18, 2025. ed. / Gabriela Ochoa. Association for Computing Machinery, 2025. p. 723-726 (GECCO 2025 Companion - Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion).

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (ISBN)

Testing stimulus generalisation as a mechanism for impression formation. / Masroujah, Leoni S.; Wilcke, Stephanie; Jeffery, Linda et al.
In: Cognition, Vol. 270, 106414, 31.05.2026.

Research output: Contribution to journalArticlepeer-review

Using currere to consider past and future landscapes of technology use in learning and teaching: a view from the Wales Collaborative for Learning Design (WCLD). / Chapman, Sammy; Beauchamp, Gary ; Evans, Ross et al.
In: Cylchgrawn Addysg Cymru | Wales Journal of Education, Vol. 27, No. 1, 03.06.2025, p. 128-153.

Research output: Contribution to journalArticlepeer-review

More publications on the Research Portal