Prof Reyer Zwiggelaar

Ir (Groningen), PhD (University College London)

Prof Reyer Zwiggelaar

Professor

Department of Computer Science

Head of the Graduate School (Graduate Centre )

Graduate School

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
Tutor
Lecturer
Coordinator

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

Publications

Stone, K, Zwiggelaar, R, Jones, P, Mac Parthaláin, N & Yoon, D (ed.) 2022, 'A systematic review of the prediction of hospital length of stay: Towards a unified framework', PLOS Digital Health, vol. 1, no. 4. 10.1371/journal.pdig.0000017
Agarwal, R, Hoon Yap, M, Hasan, MK, Zwiggelaar, R & Marti, R 2022, Deep Learning in Mammography Breast Cancer Detection. in N Lidströmer & H Ashrafian (eds), Artificial Intelligence in Medicine. Artificial Intelligence in Medicine, Springer Nature, pp. 1287-1300. 10.1007/978-3-030-64573-1_157
Evans, G, Higgins, S, Thomas, C, Sauze, C & Zwiggelaar, R 2022, National-AI Enabled Repository for Wales: Focus Group Summary Report for Project Partners.
Evans, G, Thomas, C, Sauze, C, Zwiggelaar, R & Higgins, S 2022, National-AI Enabled Repository for Wales: AI Prototype Testing Sessions Report. Prifysgol Aberystwyth | Aberystwyth University. 10.20391/z11x-tw26
Maurya, L, Zwiggelaar, R, Chawla, D & Mahapatra, P 2022, 'Non-contact respiratory rate monitoring using thermal and visible imaging: A pilot study on neonates', Journal of Clinical Monitoring and Computing. 10.1007/s10877-022-00945-8
More publications on the Research Portal