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Researcher Details
 
Name: Professor M Goldstein
Organisation: Durham, University of
Department: Mathematical Sciences
Current EPSRC-Supported Research Topics:
Energy Efficiency Sustainable Energy Networks
Sustainable Energy Vectors

Current EPSRC Support
EP/P001173/1 Centre for Energy Systems Integration(C)
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)
Key: (P)=Principal Investigator, (C)=Co-Investigator, (R)=Researcher Co-Investigator