Name:	Professor RH Clayton
Organisation:	University of Sheffield
Department:	Computer Science
Current EPSRC-Supported Research Topics:	Artificial Intelligence Digital Signal Processing Human-Computer Interactions Information & Knowledge Mgmt Med.Instrument.Device& Equip. Mobile Computing Statistics & Appl. Probability Theoretical biology

Current EPSRC Support

EP/X03075X/1 The South Yorkshire Digital Health Hub (C) EP/W000091/2 In-Procedure Personalized Atrial Digital Twin to Predict Outcome of Atrial Fibrillation Ablation (C) EP/T017899/1 The SofTMech Statistical Emulation and Translation Hub (C)

Previous EPSRC Support

EP/W000091/1 In-Procedure Personalized Atrial Digital Twin to Predict Outcome of Atrial Fibrillation Ablation (C) EP/P010741/1 Uncertainty Quantification in Prospective and Predictive Patient Specific Cardiac Models (P) EP/K037145/1 Forecasting personal health in an uncertain environment (P) EP/L001101/1 Network: POEMS - Predictive mOdelling for hEalthcare technologies through MathS (P) EP/F009461/2 Advancing Machine Learning Methodology for New Classes of Prediction Problems (C) EP/F009461/1 Advancing Machine Learning Methodology for New Classes of Prediction Problems (C) EP/C532759/1 High throughput electrophysiological, electromagnetic & electromechanical cardiac virtual tissue engineering (C) GR/S62338/01 The Epitheliome: computational modelling of epithelial tissue (C) GR/S62321/01 The Epitheliome: computational modelling of epithelial tissue (C) GR/S72023/01 eScience Pilot Project in Integrative Biology (C) GR/S43498/01 Large-scale parallelisation of electro-physiological and mechanical cardiac virtual tissues (C) GR/R92592/01 Virtual tissue engineering of gravid uterus (C) GR/R96231/01 Visualization Middleware for e-Science (C) GR/R40838/01 NETWORK: Enabling Techniques for Functional Genomics: Validation and Application (C) GR/N04324/01 NETWORK: ENGINEERING VIRTUAL TISSUES AND ORGANS (C)

Key: (P)=Principal Investigator, (C)=Co-Investigator, (R)=Researcher Co-Investigator