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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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Agricultural application of life cycle iNdeX (LInX) for effective decision making

TL;DR: In this paper, a small anaerobic digestion (AD) unit on a dairy farm in Clymer, New York was used to generate electricity from the combustion of biogas produced from organic waste.
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The use of a virtual environment in managing risks associated with human responses in emergency situations on offshore installations

TL;DR: In this paper, the use of a virtual environment for investigating risks associated with human responses in emergency situations on offshore installations has been presented, where the virtual environment and the risk management can be used to analyze risks of human responses by investigating the effectiveness of existing safety measures and identifying areas of improvement.
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Situation awareness modeling for emergency management on offshore platforms

TL;DR: This study presents a Markov Logic Network to model SA focusing on fire accidents and emergency evacuation, which can be used to develop a repertoire of situations for agents so that the repertoire can act as an agent’s experience for later decision-making.
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Modeling and simulation of offshore personnel during emergency situations

TL;DR: This paper presents a behavior model that can simulate the response of general personnel during emergency situations and identifies the sources of variability that are encoded in the agents to allow a realistic range of human behaviors.

Explosibility of nontraditional dusts: Experimental and modeling challenges

TL;DR: In this article, the authors describe experimental and modeling research for a series of nontraditional particulate fuel/air systems: nanomaterials, fiocculent materials and hybrid mixtures.