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| Name: |
Professor M Goldstein |
| Organisation: |
Durham, University of |
| Department: |
Mathematical Sciences |
| Current EPSRC-Supported Research
Topics: |
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Energy Efficiency
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Sustainable Energy Networks
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Sustainable Energy Vectors
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| Current EPSRC Support |
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| Previous EPSRC Support |
| EP/K03832X/2 | Uncertainty analysis of hierarchical energy systems models: Models versus real energy systems | (C) |
| EP/K03832X/1 | Uncertainty analysis of hierarchical energy systems models: Models versus real energy systems | (C) |
| EP/I031650/1 | The Autonomic Power System | (C) |
| EP/H007377/1 | MUCM2 | (C) |
| EP/E046983/1 | Evidence-based Practices Informing Computing (EPIC) | (C) |
| EP/P503345/1 | DTA - Durham University | (C) |
| EP/P502438/1 | DTA - Durham University | (C) |
| EP/E00931X/1 | Uncertainty Analysis for Random Computer Models | (C) |
| EP/D048893/1 | Managing Uncertainty in Complex Models: a step change in understanding how models perform | (C) |
| EP/P50175X/1 | DTA - University of Durham | (C) |
| EP/P500184/1 | DTA - University of Durham | (C) |
| GR/P02851/01 | DTA - University of Durham | (C) |
| GR/P01434/01 | DTA - University of Durham | (C) |
| GR/P00864/01 | DTA - University of Durham | (C) |
| GR/M76775/01 | HIGH RELIABILITY TESTING FOR COMPLEX SOFTWARE USING BAYESIAN GRAPHICAL MODELLING AND PROGRAM COMPREHENSION | (P) |
| GR/L10031/01 | BAYES LINEAR FORECASTING AND DECISION MAKING FOR LARGE SCALE PHYSICAL SYSTEMS IN THE PETROLEUMINDUSTRY | (P) |
| GR/H52177/01 | BAYES LINEAR STRATEGIES FOR HISTORY MATCHING OF HYDROCARBON RESERVOIRS | (C) |
| GR/F76862/01 | FOUNDATIONS AND METHODS FOR SUBJECTIVIST ANALYSIS OF PARTIALLY SPECIFIED STOCHASTIC SYSTEMS | (P) |
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Key: (P)=Principal Investigator, (C)=Co-Investigator, (R)=Researcher Co-Investigator
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