Ciaran Bench
Research Scientist
Department of Data Science and AI, National Physical Laboratory
My work primarily focuses on uncertainty quantification in deep learning through applications in medicine.
Research Outputs:
Google Scholar
Key Papers
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C. Bench, Uncertainty quantification in deep learning is unsatisfactory for clinical applications and complex decision making, TechRxiv, 2026. (presented at IJCNN 2026)
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C. Bench, Trustworthy deep domain adaptation for wearable photoplethysmography signal analysis with decision-theoretic uncertainty quantification, arXiv:2604.17480, 2026.
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C. Bench et al., A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis, Machine Learning: Health, 2, 015011, 2026.
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Academic Service & Outreach
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Special Session Co-Chair, Physics-Informed Neural Networks: Advancements and Applications,
IJCNN 2026, Maastricht, The Netherlands.
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Special Session Chair, Trustworthy and Reliable Artificial Intelligence Applications in Healthcare Decision Making,
IJCNN 2025, Rome, Italy.
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Medium (@ciaranbench)
