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Engineering and Technology

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48
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4601
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Research.com Recognitions

  • 2010 - Member of the National Academy of Engineering For contributions to the development of Bayesian methods and computational tools in probabilistic risk assessment and reliability engineering.

Overview

Ali Mosleh is affiliated with the University of California, Los Angeles in the United States. Their research primarily focuses on Engineering and Decision Sciences, producing a body of work that spans topics such as Risk and Safety Analysis, Occupational Health and Safety Research, Software Reliability and Analysis Research, Human-Automation Interaction and Safety, Fault Detection and Control Systems, Probabilistic and Robust Engineering Design, and Nuclear Engineering Thermal-Hydraulics.

Their research includes significant contributions within the subfields of Statistics, Probability and Uncertainty, Control and Systems Engineering, Artificial Intelligence, Radiological and Ultrasound Technology, and Ocean Engineering.

Ali Mosleh has published extensively, with notable papers including:

  • "An uncertainty-informed framework for trustworthy fault diagnosis in safety-critical applications" (2022) in Reliability Engineering & System Safety
  • "Guided simulation for dynamic probabilistic risk assessment of complex systems: Concept, method, and application" (2021) in Reliability Engineering & System Safety
  • "A generic approach to analysing failures in human - System interaction in autonomy" (2020) in Safety Science
  • "Supervised dynamic probabilistic risk assessment: Review and comparison of methods" (2022) in Reliability Engineering & System Safety
  • "Analysis of human errors in human-autonomy collaboration in autonomous ships operations through shore control experimental data" (2024) in Reliability Engineering & System Safety

Ali Mosleh collaborates frequently with several researchers, including:

  • Tarannom Parhizkar
  • Marília Ramos
  • Ingrid Bouwer Utne
  • Enrique López Droguett
  • Christoph Thieme

Their publications appear regularly in key venues such as:

  • Reliability Engineering & System Safety
  • arXiv (Cornell University)
  • Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability
  • Journal of Marine Science and Engineering
  • 2022 Annual Reliability and Maintainability Symposium (RAMS)

Ali Mosleh received recognition as a Member of the National Academy of Engineering in 2010 for their contributions to the development of Bayesian methods and computational tools in probabilistic risk assessment and reliability engineering.

Best Publications

  • Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents: Part 1: Overview of the IDAC Model

    Y. H. J. Chang;Y. H. J. Chang;Ali Mosleh

  • Probabilistic Risk Assessment Procedures Guide for NASA Managers and Practitioners (Second Edition)

    Michael Stamatelatos;Homayoon Dezfuli;George Apostolakis;Chester Everline

  • Incorporating organizational factors into Probabilistic Risk Assessment (PRA) of complex socio-technical systems: A hybrid technique formalization

    Zahra Mohaghegh;Reza Kazemi;Ali Mosleh

  • Model-based human reliability analysis: prospects and requirements

    Ali Mosleh;Y. H. Chang;Y. H. Chang

  • The development and application of the accident dynamic simulator for dynamic probabilistic risk assessment of nuclear power plants

    Kae-Sheng Hsueh;Ali Mosleh

  • Incorporating organizational factors into probabilistic risk assessment of complex socio-technical systems: Principles and theoretical foundations

    Zahra Mohaghegh;Ali Mosleh

  • Collision avoidance on maritime autonomous surface ships: Operators’ tasks and human failure events

    Marilia Abilio Ramos;Ingrid Bouwer Utne;Ali Mosleh;Ali Mosleh

  • A data-informed PIF hierarchy for model-based Human Reliability Analysis

    Katrina M. Groth;Ali Mosleh

  • A critique of current practice for the use of expert opinions in probabilistic risk assessment

    A. Mosleh;V.M. Bier;G. Apostolakis

  • Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents. Part 2: IDAC performance influencing factors model

    Y. H. J. Chang;Y. H. J. Chang;Ali Mosleh

  • The Assessment of Probability Distributions from Expert Opinions with an Application to Seismic Fragility Curves

    Ali Mosleh;George Apostolakis

  • The SACADA database for human reliability and human performance

    Y. James Chang;Dennis Bley;Lawrence Criscione;Barry Kirwan

  • Common cause failures: An analysis methodology and examples

    Ali Mosleh

  • A systematic procedure for the incorporation of common cause events into risk and reliability models

    Karl N Fleming;Ali Mosleh;R Kenneth Deremer

  • On the use of the hybrid causal logic method in offshore risk analysis

    Willy Røed;Ali Mosleh;Jan Erik Vinnem;Terje Aven

  • Quantitative risk assessment system (QRAS)

    Robert M Weinstock;Carol S Smidts;Ali Mosleh;Yung-Hsien Chang

  • Phoenix – A model-based Human Reliability Analysis methodology: Qualitative Analysis Procedure

    Nsimah J. Ekanem;Ali Mosleh;Song-Hua Shen

  • Human-system concurrent task analysis for maritime autonomous surface ship operation and safety

    Marilia Abilio Ramos;Christoph Alexander Thieme;Ingrid Bouwer Utne;Ali Mosleh;Ali Mosleh

  • The IDA cognitive model for the analysis of nuclear power plant operator response under accident conditions. Part I: problem solving and decision making model

    C. Smidts;S.H. Shen;A. Mosleh

  • Deriving causal Bayesian networks from human reliability analysis data: A methodology and example model:

    Katrina M Groth;Katrina M Groth;Ali Mosleh

  • Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents: Part 5: Dynamic probabilistic simulation of the IDAC model

    Y. H. J. Chang;Y. H. J. Chang;Ali Mosleh

  • Bayesian methodology for model uncertainty using model performance data.

    Enrique López Droguett;Ali Mosleh

Frequent Co-Authors

Vicki M. Bier
Vicki M. Bier University of Wisconsin–Madison
Jason C. S. Woo
Jason C. S. Woo University of California, Los Angeles
Subramanian S. Iyer
Subramanian S. Iyer University of California, Los Angeles
Terje Aven
Terje Aven University of Stavanger
Xue Yang
Xue Yang Shanghai Jiao Tong University

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