A
Ali Mosleh
Researcher at University of California, Los Angeles
Publications - 224
Citations - 5580
Ali Mosleh is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Probabilistic risk assessment & Human reliability. The author has an hindex of 37, co-authored 214 publications receiving 4746 citations. Previous affiliations of Ali Mosleh include University of Maryland, College Park & Concordia University.
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Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents: Part 1: Overview of the IDAC Model
TL;DR: An overview of the IDAC architecture and principles of implementation as a HRA model is provided, developed to probabilistically predict the responses of the nuclear power plant control room-operating crew during an accident for use in probabilistic risk assessments.
Probabilistic Risk Assessment Procedures Guide for NASA Managers and Practitioners (Second Edition)
Michael Stamatelatos,Homayoon Dezfuli,George Apostolakis,Chester J. Everline,Sergio Guarro,Donovan Mathias,Ali Mosleh,Todd Paulos,David S. Riha,Curtis Smith,William E. Vesely,Robert Youngblood +11 more
TL;DR: Probabilistic Risk Assessment (PRA) is a comprehensive, structured, and logical analysis method aimed at identifying and assessing risks in complex technological systems for the purpose of cost-effectively improving their safety and performance.
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Incorporating organizational factors into Probabilistic Risk Assessment (PRA) of complex socio-technical systems: A hybrid technique formalization
TL;DR: The hybrid approach integrates deterministic and probabilistic modeling perspectives, and provides a flexible risk management tool for complex socio-technical systems and an application of the hybrid technique is provided in the aviation safety domain, focusing on airline maintenance systems.
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Model-based human reliability analysis: prospects and requirements
TL;DR: It is argued that a model-based approach that provides explicit cognitive causal links between operator behaviors and directly or indirectly measurable causal factors should be at the core of the advanced methods for human reliability analysis.
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A critique of current practice for the use of expert opinions in probabilistic risk assessment
TL;DR: In this paper, a review of the use of expert opinion in probabilistic risk assessment of nuclear power plants is presented, in light of the available empirical and theoretical results on expert opinion use.