Prof Reyer Zwiggelaar

Ir (Groningen), PhD (University College London)

Prof Reyer Zwiggelaar

Professor

Department of Computer Science

Assistant Faculty Pro Vice-Chancellor (Research)

Contact Details

Profile

Reyer Zwiggelaar received the Ir. Degree in Applied Physics from the State University Groningen, Groningen, The Netherlands, in 1989, and the Ph.D. Degree in Electronic and Electrical Engineering from the University College London, London, UK, in 1993. He is currently a Professor at the Department of Computer Science, Aberystwyth University, UK. He is the author or co-author of more than 180 conference and journal papers. His current research interests include Medical Image Understanding, especially Focusing on Mammographic and Prostate Data, Pattern Recognition, Statistical Methods, Texture-Based Segmentation, and Feature-Detection Techniques.

Additional Information

Responsibilities

As Head of the Graduate School, Professor Reyer Zwiggelaar is responsible for the provision of postgraduate education within the University as a whole, and also has a coordinating role in relation to the development of policy on postgraduate matters; the provision of facilities for postgraduates; and the monitoring of academic progress of postgraduate students.

Teaching

Module Coordinator
Coordinator
Tutor

Professor of the Department of Computer Science, Aberystwyth University, UK.

Publications

Li, G, Zhou, M, Fu, Y, Alam, N, Denton, ERE & Zwiggelaar, R 2025, 'An interpretable CNN-based model for mass classification in mammography', Knowledge-Based Systems, vol. 316, 113372. 10.1016/j.knosys.2025.113372
Maurya, L, Zwiggelaar, R, Chawla, D & Mahapatra, P 2025, 'Contactless apnea event detection using visible-thermal imaging', Signal, Image and Video Processing, vol. 19, no. 5, 389. 10.1007/s11760-025-03959-2
Suchak, T, Aliu, AE, Harrison, C, Zwiggelaar, R, Geifman, N & Spick, M 2025, 'Explosion of formulaic research articles, including inappropriate study designs and false discoveries, based on the NHANES US national health database', PLoS Biology, vol. 23, no. 5, e3003152. 10.1371/journal.pbio.3003152
Dutta, SJ, Boongoen, T & Zwiggelaar, R 2025, 'Human activity recognition: A review of deep learning-based methods', IET Computer Vision, vol. 19, no. 1, e70003. 10.1049/cvi2.70003
Dutta, S, Boongoen, T & Zwiggelaar, R 2025, 'Human Activity Recognition with Noise-Injected Time-Distributed AlexNet', Biomimetics, vol. 10, no. 9, 613. 10.3390/biomimetics10090613
More publications on the Research Portal