What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Mechanical engineering
Faisal Khan mainly investigates Risk assessment, Reliability engineering, Risk analysis, Process and Risk analysis.
His Risk assessment research is multidisciplinary, incorporating perspectives in Process safety, Forensic engineering, Unit, Work in process and Predictive maintenance.
His study focuses on the intersection of Reliability engineering and fields such as Risk analysis with connections in the field of Underbalanced drilling and Reliability.
He interconnects Computer security, Accident and Chemical industry in the investigation of issues within Risk analysis.
His Process study combines topics from a wide range of disciplines, such as Control, Hazard analysis, Accident analysis and Operations research.
His studies deal with areas such as Probability distribution, Bayesian network and Data mining as well as Fault tree analysis.
His most cited work include:
- Removal of Volatile Organic Compounds from polluted air (744 citations)
- An overview and analysis of site remediation technologies (607 citations)
- Safety analysis in process facilities: Comparison of fault tree and Bayesian network approaches (370 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Risk analysis, Reliability engineering, Risk assessment, Bayesian network and Process.
His Risk analysis research integrates issues from Process safety, Inherent safety, Risk management and SAFER.
He has researched Reliability engineering in several fields, including Reliability, Probabilistic logic and Pipeline transport.
Faisal Khan has included themes like Work, Arctic and Forensic engineering in his Risk assessment study.
His research investigates the connection with Bayesian network and areas like Data mining which intersect with concerns in Fault detection and isolation.
His Process study incorporates themes from Work in process and Operations research.
He most often published in these fields:
- Risk analysis (26.96%)
- Reliability engineering (24.17%)
- Risk assessment (21.38%)
What were the highlights of his more recent work (between 2019-2021)?
- Risk analysis (26.96%)
- Bayesian network (18.46%)
- Risk assessment (21.38%)
In recent papers he was focusing on the following fields of study:
Faisal Khan focuses on Risk analysis, Bayesian network, Risk assessment, Risk analysis and Reliability engineering.
The study incorporates disciplines such as Accident, Work in process, Process and SAFER in addition to Risk analysis.
His Bayesian network research is multidisciplinary, incorporating elements of Data mining, Fault detection and isolation, Statistical model, Risk management and Multilayer perceptron.
His research in Data mining intersects with topics in Data-driven and Fuzzy logic.
His work deals with themes such as Waste management, Arctic and Petroleum industry, which intersect with Risk assessment.
He usually deals with Reliability engineering and limits it to topics linked to Submarine pipeline and Subsea and Computational fluid dynamics.
Between 2019 and 2021, his most popular works were:
- Bayesian Stochastic Petri Nets (BSPN) - A new modelling tool for dynamic safety and reliability analysis (24 citations)
- A Dynamic Bayesian Network model for ship-ice collision risk in the Arctic waters (18 citations)
- Improved DEMATEL methodology for effective safety management decision-making (18 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Mechanical engineering
Faisal Khan mainly focuses on Risk analysis, Bayesian network, Artificial neural network, Risk management and Risk analysis.
The various areas that Faisal Khan examines in his Risk analysis study include Process and Resilience.
His work carried out in the field of Bayesian network brings together such families of science as Data mining, Data-driven, Statistical model, Complex system and Stochastic Petri net.
His study in Data mining is interdisciplinary in nature, drawing from both Copula, Multivariate statistics, Risk assessment and Nonlinear system.
His Risk management research incorporates elements of Environmental resource management and Extreme weather.
In his work, Submarine pipeline is strongly intertwined with Human reliability, which is a subfield of Reliability engineering.
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