Dr Mike Edwards

Principal Data Linkage Architect

Health Data Science

+44 (0) 1792 518567

michael.edwards@abertawe.ac.uk

Siaradwr Cymraeg Sylfaenol

506
Pumed Llawr
Yr Adeilad Gwyddor Data
Campws Singleton

Dolenni Ymchwil

https://orcid.org/0000-0003-3367-969X

Trosolwg

Mae Dr Michael Edwards yn ddarlithydd yn yr Adran Gyfrifiadureg ym Mhrifysgol Abertawe.

Cyhoeddiadau

Uchafbwyntiau Ymchwil

Clarkson, C., Edwards, M., & Xie, X. (2023). Active Anchors: Similarity Based Refinement Learning. In International Conference on Applied Computing 2023 (pp. 47-56). IADIS.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64165
https://www.iadisportal.org/ac-icwi-2023-proceedings
Hepburn-Dickins, F. & Edwards, M. (2023). Noise Robustness of Data-Driven Star Classification. In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods (pp. 176-184). SCITEPRESS - Science and Technology Publications.
https://doi.org/10.5220/0011804000003411, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63778
http://dx.doi.org/10.5220/0011804000003411
Clarkson, C., Edwards, M., & Xie, X. (2023). Active Anchors. In Companion Proceedings of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing SystemsACM.
https://doi.org/10.1145/3596454.3597185, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63777
http://dx.doi.org/10.1145/3596454.3597185
Lloyd-Roberts, B., James, P., Edwards, M., Robinson, S., James, P., & Werner, T. (2023). Improving Railway Safety: Human-in-the-loop Invariant Finding. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing SystemsACM.
https://doi.org/10.1145/3544549.3573853, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62272
Thomas, L., Edwards, M., Capsey, A., Rahat, A., & Roach, M. (2022). Deep Visual Place Recognition for Waterborne Domains. In 2022 IEEE International Conference on Image Processing (ICIP). 16-19th October Bordeaux, France.IEEE.
https://doi.org/10.1109/icip46576.2022.9897962, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60685
https://ieeexplore.ieee.org/xpl/conhome/9897158/proceeding
Edwards, M., Edwards, M., & Xie, X. (2014). Footstep pressure signal analysis for human identification. In Int'l Conf. BioMedical Engineering and Informatics (pp. 307-312). 7th International Conference on Biomedical Engineering and Informatics.
https://doi.org/10.1109/BMEI.2014.7002790, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20982
Edwards, M., Edwards, M., Deng, J., & Xie, X. (2016). From pose to activity: Surveying datasets and introducing CONVERSE. Computer Vision and Image Understanding, 144, 73-105.
https://doi.org/10.1016/j.cviu.2015.10.010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa26730
Edwards, M., Deng, J., Xie, X., & Edwards, M. (2016). Combining Stacked Denoising Autoencoders and Random Forests for Face Detection. Advanced Concepts for Intelligent Vision Systems (pp. 349-360).
https://doi.org/10.1007/978-3-319-48680-2_31, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32104
Edwards, M., Deng, J., & Xie, X. (2017). Labeling subtle conversational interactions within the CONVERSE dataset. In 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) (pp. 140-145). IEEE.
https://doi.org/10.1109/percomw.2017.7917547, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa33105
Edwards, M., Xie, X., Palmer, R., Tam, G., Alcock, R., & Roobottom, C. (2020). Graph convolutional neural network for multi-scale feature learning. Computer Vision and Image Understanding, 194, 102881
https://doi.org/10.1016/j.cviu.2019.102881, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52916

Holl Ymchwil

Erthyglau Cylchgronau

Firman, N., North, L., Lyons, J., Wilk, M., Edwards, M., Johnson, R., Bailey, R., Davies, J., Harper, G., Dezateux, C., Fry, R., & Griffiths, L. (2026). Characterising residential mobility during childhood in the United Kingdom: a longitudinal study using linked electronic health records. Longitudinal and Life Course Studies, 0, 1-24.
https://doi.org/10.1332/17579597y2026d000000088, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa72749
Lloyd-Roberts, B., Pantekis, F., James, P., O'Reilly, L., & Edwards, M. (2025). Scaling Invariant Generation Using State Space Embeddings and GPU Streaming. Concurrency and Computation: Practice and Experience, 37(25-26), e70353
https://doi.org/10.1002/cpe.70353, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa70761
Lyons, J., Johnson, R., Edwards, M., Turner, S., Fry, R., Griffiths, L., & Lyons, R. (2025). Administrative data linkage to Census 2021 in Wales, UK: A cross-sectional study examining completeness and representativeness for population analytics. International Journal of Population Data Science, 10(1)
https://doi.org/10.23889/ijpds.v10i1.2994, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa70741
Clarkson, C., Edwards, M., & Xie, X. (2024). Dense Semantic Refinement Using Active Similarity Learning. International Journal on Computer Science and Information Systems, 19(1)
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66967
https://www.iadisportal.org/ijcsis/
Kenning, M., Deng, J., Edwards, M., & Xie, X. (2022). A directed graph convolutional neural network for edge-structured signals in link-fault detection. Pattern Recognition Letters, 153, 100-106.
https://doi.org/10.1016/j.patrec.2021.12.003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59018
Edwards, M., Xie, X., Palmer, R., Tam, G., Alcock, R., & Roobottom, C. (2020). Graph convolutional neural network for multi-scale feature learning. Computer Vision and Image Understanding, 194, 102881
https://doi.org/10.1016/j.cviu.2019.102881, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52916
Edwards, M., Edwards, M., Deng, J., & Xie, X. (2016). From pose to activity: Surveying datasets and introducing CONVERSE. Computer Vision and Image Understanding, 144, 73-105.
https://doi.org/10.1016/j.cviu.2015.10.010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa26730

Penodau Llyfrau

Clarkson, C., Edwards, M., & Xie, X. (2026). Active Deep Clustering: Exploratory Analysis to Assist in Decision-Making on Incremental Label Morphing Datasets. Lecture Notes in Computer Science (pp. 251-263). Springer Nature Switzerland
https://doi.org/10.1007/978-3-032-07343-3_20, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa70372
Edwards, M., Deng, J., Xie, X., & Edwards, M. (2016). Combining Stacked Denoising Autoencoders and Random Forests for Face Detection. Advanced Concepts for Intelligent Vision Systems (pp. 349-360).
https://doi.org/10.1007/978-3-319-48680-2_31, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32104

Cyfraniadau Cynadleddau

Edwards, M., Zamanidehkordi, A., Scully, S., Toby, R., & Thompson, S. (2026). Assessing Linkage Quality: Metrics, Insights, and a Reusable Python Toolkit. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v11i5.3597, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa72587
Edwards, M., Zamanidehkordi, A., Toby, R., Scully, S., & Thompson, S. (2026). Operationalising Graph-Based Linkage with Directory-Structured Project Frameworks. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v11i5.3549, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa72588
Toby, R., Edwards, M., Zamanidehkordi, A., Scully, S., & Thompson, S. (2026). SeRP Linkage Centre: A Scalable, Automated Architecture for Record Linkage. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v11i5.3548, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa72590
Atkins, C., Tam, G., Edwards, M., Aslam, M., & Zhang, J. (2026). Multi-scale WSI Analysis: A Cascade Framework for Efficient Breast Cancer Metastasis Detection. In Lecture Notes in Computer Science (pp. 87-101). Springer Nature Switzerland.
https://doi.org/10.1007/978-3-031-98691-8_7, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa69644
Hepburn-Dickins, F., Jones, M., Edwards, M., Morgan, J., & Bell, S. (2025). SIGNN – Star Identification Using Graph Neural Networks. In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (pp. 9063-9072). IEEE.
https://doi.org/10.1109/wacv61041.2025.00878, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa68091
https://doi.org/10.1109/wacv61041.2025.00878
Lloyd-Roberts, B., Pantekis, F., James, P., O'Reilly, L., & Edwards, M. (2024). Effective Candidate Invariant Generation Using GPGPUs and Optimisations. In 2024 Twelfth International Symposium on Computing and Networking (CANDAR) (pp. 77-86). IEEE.
https://doi.org/10.1109/candar64496.2024.00017, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa68671
Clarkson, C., Edwards, M., & Xie, X. (2023). Active Anchors: Similarity Based Refinement Learning. In International Conference on Applied Computing 2023 (pp. 47-56). IADIS.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64165
https://www.iadisportal.org/ac-icwi-2023-proceedings
Clarkson, C., Edwards, M., & Xie, X. (2023). Active Anchors. In Companion Proceedings of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing SystemsACM.
https://doi.org/10.1145/3596454.3597185, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63777
http://dx.doi.org/10.1145/3596454.3597185
Lloyd-Roberts, B., James, P., Edwards, M., Robinson, S., James, P., & Werner, T. (2023). Improving Railway Safety: Human-in-the-loop Invariant Finding. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing SystemsACM.
https://doi.org/10.1145/3544549.3573853, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62272
Hepburn-Dickins, F. & Edwards, M. (2023). Noise Robustness of Data-Driven Star Classification. In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods (pp. 176-184). SCITEPRESS - Science and Technology Publications.
https://doi.org/10.5220/0011804000003411, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63778
http://dx.doi.org/10.5220/0011804000003411
Thomas, L., Edwards, M., Capsey, A., Rahat, A., & Roach, M. (2022). Deep Visual Place Recognition for Waterborne Domains. In 2022 IEEE International Conference on Image Processing (ICIP). 16-19th October Bordeaux, France.IEEE.
https://doi.org/10.1109/icip46576.2022.9897962, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60685
https://ieeexplore.ieee.org/xpl/conhome/9897158/proceeding
Edwards, M., Deng, J., & Xie, X. (2017). Labeling subtle conversational interactions within the CONVERSE dataset. In 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) (pp. 140-145). IEEE.
https://doi.org/10.1109/percomw.2017.7917547, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa33105
Edwards, M., Edwards, M., & Xie, X. (2014). Footstep pressure signal analysis for human identification. In Int'l Conf. BioMedical Engineering and Informatics (pp. 307-312). 7th International Conference on Biomedical Engineering and Informatics.
https://doi.org/10.1109/BMEI.2014.7002790, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20982

Goruchwyliaeth

Human Interfaces with Machine Learning Recognition Systems (dyfarnwyd 2025)

PhD

Goruchwyliwr arall: Prof Xianghua Xie
Untitled (cyfredol)

PhD

Goruchwyliwr arall: Dr Daniele Cafolla
Histopathology Image Processing within the Colorectal Cancer Diagnosis Pathway (cyfredol)

PhD

Goruchwyliwr arall: Prof Jiaxiang Zhang
Explainability and Uncertainty Quantification in Networks and Social Systems (dyfarnwyd 2024)

PhD

Goruchwyliwr arall: Prof Xianghua Xie
Mining Invariants from Reachability Traces (cyfredol)

PhD

Goruchwyliwr arall: Prof Xianghua Xie

Goruchwyliwr arall: Dr Liam O'Reilly
Mass labelling Remote Sensing Images: A visualisation and machine learning combinatory approach. (dyfarnwyd 2026)

PhD

Goruchwyliwr arall: Prof Mark Jones
Irregular Domain Deep Learning (dyfarnwyd 2023)

PhD

Goruchwyliwr arall: Dr Gary Tam

Goruchwyliwr arall: Prof Xianghua Xie

Dr Mike Edwards

Rhif ffôn

Cyfeiriad ebost

Welsh language proficiency

Dolenni Ymchwil

Trosolwg

Cyhoeddiadau

Uchafbwyntiau Ymchwil

Holl Ymchwil

Erthyglau Cylchgronau

Penodau Llyfrau

Cyfraniadau Cynadleddau

Goruchwyliaeth

Human Interfaces with Machine Learning Recognition Systems (dyfarnwyd 2025)

Untitled (cyfredol)

Histopathology Image Processing within the Colorectal Cancer Diagnosis Pathway (cyfredol)

Explainability and Uncertainty Quantification in Networks and Social Systems (dyfarnwyd 2024)

Mining Invariants from Reachability Traces (cyfredol)

Mass labelling Remote Sensing Images: A visualisation and machine learning combinatory approach. (dyfarnwyd 2026)

Irregular Domain Deep Learning (dyfarnwyd 2023)