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Researcher Details
 
Name: Professor N Fenton
Organisation: Queen Mary University of London
Department: Sch of Electronic Eng & Computer Science
Current EPSRC-Supported Research Topics:
Artificial Intelligence Human-Computer Interactions
Information & Knowledge Mgmt Mobile Computing
Statistics & Appl. Probability

Current EPSRC Support
EP/P009964/1 PAMBAYESIAN: PAtient Managed decision-support using Bayesian networks(P)
Previous EPSRC Support
EP/G001987/1 DIADEM: Data Information and Analysis for clinical DEcision Making(P)
EP/E033954/1 DyFusion - Towards a Novel Universal tool for Modelling and Reasoning under Uncertainty(C)
EP/C005406/1 eXdecide: Quantified Risk Assessment and Decision Support for Agile Software Projects(P)
GR/R24197/01 SCORE (Sensing Changes In Operational Risk Exposure)(C)
GR/N39234/01 SIMP: SYSTEMS INTEGRATION FOR MAJOR PROJECTS(P)
GR/N00258/01 SCULLY SCALLING UP BAYESIAN NETS FOR SOFTWARE RISK ASSESSMENT(P)
GR/L06683/02 IMPRESS: IMPROVING THE SOFTWARE PROCESS USING BAYESIAN NETS(C)
GR/M02552/02 SOFTWARE ENGINEERING AND INFORMATION SYSTEMS NETWORK FOR IMPROVED BUSINESS PROCESSES(C)
GR/M02552/01 SOFTWARE ENGINEERING AND INFORMATION SYSTEMS NETWORK FOR IMPROVED BUSINESS PROCESSES(C)
GR/L57296/01 PETERS: PRE-EXPLOITATIVE TOOLS FOR EVALUATING RELIABILITY OF SOFTWARE(C)
GR/L07673/01 DISCS: DIVERSITY IN SAFETY CRITICAL SOFTWARE(C)
GR/L06683/01 IMPRESS: IMPROVING THE SOFTWARE PROCESS USING BAYESIAN NETS(C)
GR/H89944/01 DATUM: DEPENDABILITY ASSESSMENT OF SCS THROUGH THE UNIFICATION OF MEASURABLE EVIDENCE - IED4/1/9314(C)
GR/F98550/01 STANDARDS & METHODS ASSESSMENT USING RIGOROUS TECHNIQUES IN INDUSTRIAL ENVIRONMENTS(IED4/1/2160)(P)
Key: (P)=Principal Investigator, (C)=Co-Investigator, (R)=Researcher Co-Investigator