What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Reliability engineering
Ali Mosleh spends much of his time researching Operations research, Human reliability, Probabilistic risk assessment, Probabilistic logic and Cognitive model.
His Operations research research is multidisciplinary, relying on both Risk analysis and Decision support system.
His research investigates the connection with Human reliability and areas like Data mining which intersect with concerns in Likelihood function and Estimation.
His Probabilistic risk assessment research includes themes of System safety, Risk analysis and Fault tree analysis.
His Probabilistic logic research is multidisciplinary, incorporating elements of Reliability engineering, Common cause and special cause and Risk analysis.
His study looks at the relationship between Reliability engineering and topics such as Risk assessment, which overlap with Ranking.
His most cited work include:
- Probabilistic Risk Assessment Procedures Guide for NASA Managers and Practitioners (Second Edition) (197 citations)
- Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents: Part 1: Overview of the IDAC Model (157 citations)
- Incorporating organizational factors into Probabilistic Risk Assessment (PRA) of complex socio-technical systems: A hybrid technique formalization (148 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Reliability engineering, Risk analysis, Probabilistic risk assessment, Reliability and Human reliability.
His Reliability engineering study also includes
- Probabilistic logic which connect with Risk assessment,
- Bayesian network and related Value of information.
Ali Mosleh is studying Risk analysis, which is a component of Risk analysis.
His work deals with themes such as System safety, Machine learning and Operations research, which intersect with Probabilistic risk assessment.
His study in Reliability is interdisciplinary in nature, drawing from both Failure mode and effects analysis, Bayesian probability and Failure rate.
His Human reliability research is multidisciplinary, incorporating elements of Control room, Task analysis and Crew.
He most often published in these fields:
- Reliability engineering (29.56%)
- Risk analysis (22.17%)
- Probabilistic risk assessment (19.21%)
What were the highlights of his more recent work (between 2017-2021)?
- Risk analysis (22.17%)
- Reliability engineering (29.56%)
- Human reliability (17.73%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Risk analysis, Reliability engineering, Human reliability, Bayesian network and Fault tree analysis.
Ali Mosleh has included themes like Reliability, Structural health monitoring and Resilience in his Risk analysis study.
Much of his study explores Reliability engineering relationship to Reliability.
His research on Human reliability also deals with topics like
- Key, Distributed computing and Phase most often made with reference to Task analysis,
- Collision avoidance that intertwine with fields like Risk assessment.
His research in Bayesian network focuses on subjects like Entropy, which are connected to Data mining, Pareto principle, Multi-objective optimization and Mathematical optimization.
His studies deal with areas such as Risk analysis, Oil refinery, Decision support system and Domain as well as Fault tree analysis.
Between 2017 and 2021, his most popular works were:
- Collision avoidance on maritime autonomous surface ships: Operators’ tasks and human failure events (36 citations)
- Collision avoidance on maritime autonomous surface ships: Operators’ tasks and human failure events (36 citations)
- Human-system concurrent task analysis for maritime autonomous surface ship operation and safety (19 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Reliability engineering
Ali Mosleh focuses on Risk analysis, Task analysis, Control, Component and Human reliability.
His Risk analysis research incorporates elements of Control room and Fault tree analysis.
The study incorporates disciplines such as Domain, Risk analysis, Oil refinery and Decision support system in addition to Fault tree analysis.
Task analysis is frequently linked to Visualization in his study.
His studies in Component integrate themes in fields like Collision, Phase, Distributed computing and Identification.
His Human reliability study integrates concerns from other disciplines, such as Key, Collision avoidance and Refinery.
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