About
Dr Michael Edwards is a Lecturer in the Department of Computer Science, Swansea University.
Dr Mike Edwards
Principal Data Linkage Architect
Health Data Science
Telephone number
+44 (0) 1792 518567
Welsh language proficiency
Basic Welsh Speaker
Cellular Office - 506
Fifth Floor
Data Science Building
Singleton Campus
Fifth Floor
Data Science Building
Singleton Campus
Research Links
Publications
Research Highlights
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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
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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.
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Clarkson, C., Edwards, M., & Xie, X. (2023). Active Anchors. In Companion Proceedings of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing SystemsACM.
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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.
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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.
All Research
Journal Articles
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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
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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)
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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
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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.
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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
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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.
Book Chapters
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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
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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).
Conference Contributions
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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.
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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.
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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.
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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
-
Clarkson, C., Edwards, M., & Xie, X. (2023). Active Anchors. In Companion Proceedings of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing SystemsACM.
-
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.
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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.
-
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.
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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.
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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.
Supervision
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Human Interfaces with Machine Learning Recognition Systems (awarded 2025)
PhDOther supervisor: Prof Xianghua Xie -
HIVE: Harvesting and Intelligent Versatile Equipment (current)
PhDOther supervisor: Dr Daniele Cafolla -
Histopathology Image Processing within the Colorectal Cancer Diagnosis Pathway (current)
PhDOther supervisor: Prof Jiaxiang Zhang -
Explainability and Uncertainty Quantification in Networks and Social Systems (awarded 2024)
PhDOther supervisor: Prof Xianghua Xie -
Mining Invariants from Reachability Traces (current)
PhDOther supervisor: Prof Xianghua XieOther supervisor: Dr Liam O'Reilly -
Mass labelling Remote Sensing Images: A visualisation and machine learning combinatory approach. (awarded 2026)
PhDOther supervisor: Prof Mark Jones -
Irregular Domain Deep Learning (awarded 2023)
PhDOther supervisor: Dr Gary TamOther supervisor: Prof Xianghua Xie