F
Faisal Khan
Researcher at Memorial University of Newfoundland
Publications - 785
Citations - 28657
Faisal Khan is an academic researcher from Memorial University of Newfoundland. The author has contributed to research in topics: Risk assessment & Risk analysis. The author has an hindex of 70, co-authored 705 publications receiving 21281 citations. Previous affiliations of Faisal Khan include Royal Hobart Hospital & Australian Maritime College.
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Effective environmental management through life cycle assessment
TL;DR: In this article, the authors discuss how to develop an effective environmental management system through life cycle assessment and demonstrate through a real life case study how an industry has achieved landmark success in managing its environment, production, as well as winning the good faith of society.
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Integrated offshore power operation resilience assessment using Object Oriented Bayesian network
TL;DR: This paper identifies the main requirements for an improved resilience of an offshore power management scheme and adopts the object-oriented Bayesian network format to model resilience as a function of anticipated reactions, system adaptability, absorptive capability and restoration.
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Risk based integrity modeling of offshore process components suffering stochastic degradation
TL;DR: In this article, a risk-based integrity model for the optimal replacement of offshore process components, based on the likelihood and consequence of failure arising from time-dependent degradation mechanisms, is developed.
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Modelling of Buckingham Canal water quality.
TL;DR: A case study of the modelling of the water quality of a canal situated in a petrochemical industrial complex, which receives wastewaters from Madras Refineries Limited, and Madras Fertilizers Limited, which enables development of water management strategies.
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Dynamic risk-based inspection methodology
TL;DR: This study presents an innovative method to assess risk for a dynamically changing system based on the system parameters that are continuously monitored that can be used to plan optimal inspection and maintenance intervals more efficiently.