Dynamic Probabilistic Risk Assessment Professors in Global

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Daniel Straub
Technical University of Munich Germany
risk assessment
probabilistic modeling
dynamic information
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Annette Petersen
Technical University of Denmark Denmark
cumulative risk assessment
probabilistic modeling
chemical risk assessment
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Sue Greco
University of Toronto Canada
probabilistic risk assessment
risk analysis
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Robin Preece
University of Manchester United Kingdom
probabilistic dynamic security assessment
dynamic performance
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Guotao Ma
University of Warwick United Kingdom
risk assessment
probabilistic analysis
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Abdel-salam Niazy
University of Southern California United States of America
risk assessment
dynamic stability identification
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Kostas Papakonstantinou
Pennsylvania State University United States of America
probabilistic analysis
risk assessment and management
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Charles Kenley
Purdue University United States of America
risk analysis
programmatic risk management
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Rachel Zhang
University of New South Wales Australia
dynamic security analysis
real-time stability assessment
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Michèle Bouchard
Université de Montréal Canada
risk assessment
toxicological risk analysis
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Ji-eun Byun
University of Glasgow United Kingdom
risk assessment
probabilistic modelling
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Ming-chien Sung
University of Southampton United Kingdom
risk analysis
risk taking decision making
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Katsu Goda
Western University Canada
risk assessment
financial risk analysis
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Wei Peng
University of Regina Canada
risk assessment
decision analysis
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Katerina Papadaki
London School of Economics and Political Science United Kingdom
dynamic resource allocation
dynamic programming
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Mary Schoen
University of Washington United States of America
risk assessment
microbial risk assessment
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Mark Burgman
University of Cambridge United Kingdom
risk assessment
decision analysis
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Andreas Lindhe
Chalmers University of Technology Sweden
risk assessment
decision analysis
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Jian-bo Yang
University of Manchester United Kingdom
risk analysis
probabilistic inference
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Simon Papalexiou
University of Saskatchewan Canada
risk assessment
probabilistic tools
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Matteo Pozzi
Carnegie Mellon University United States of America
risk analysis
probabilistic models
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