Bernie Tiddeman

Bernie Tiddeman is a Professor in the Department of Computer Science at Aberystwyth University. His research focuses on computer vision, machine learning, and their applications in fisheries technology, anomaly detection, and data analysis. He has led projects funded by DEFRA, the European Maritime and Fisheries Fund, and the Welsh Government, addressing challenges in environmental monitoring, automated data capture, and heritage preservation. His work contributes to UN Sustainable Development Goals related to sustainable fisheries and responsible consumption.

Key research interests include deep learning for object detection (e.g., crabs and lobsters), reinforcement learning in non-stationary environments, and neural architecture search. He collaborates with researchers like Dr. Seb Gregory Dal Toe and Muhammad Iftikhar on fisheries data automation and computer vision systems. Notable projects include the Automated Video-Based Capture of Crustacean Fisheries Data and the Improved Shellfish Data Collection Project.

His recent publications (2023-2025) highlight advancements in anomaly detection, crustacean identification, and low-power hardware solutions. Tiddeman has supervised over a dozen PhD candidates and actively participates in educational initiatives like the Wales Collaborative for Learning Design.