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| Name: |
Professor RH Clayton |
| Organisation: |
University of Sheffield |
| Department: |
Computer Science |
| Current EPSRC-Supported Research
Topics: |
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Med.Instrument.Device& Equip.
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Statistics & Appl. Probability
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| Current EPSRC Support |
| EP/T017899/1 | The SofTMech Statistical Emulation and Translation Hub | (C) |
| EP/P010741/1 | Uncertainty Quantification in Prospective and Predictive Patient Specific Cardiac Models | (P) |
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| Previous EPSRC Support |
| 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) |
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Key: (P)=Principal Investigator, (C)=Co-Investigator, (R)=Researcher Co-Investigator
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