HR job title
- Professor and Interim Head
- Contact Info
Khan, Faisal Research Professor
Positions
- Research Professor, Chemical Engineering, College of Engineering
- Overview
- Publications
- Teaching
- Contact
- Other
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Overview
Publications
selected publications
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academic article
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Behie, S., Pasman, H., Halim, S. Z., Shell, K., El-Kady, A., & Khan, F.
(2023).
The business case for process safety: The foundational requirements to sustain success. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
85, 105159-105159.
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Huffman, M., Wang, Q., & Khan, F.
(2023).
Analysis of sustainability metrics from a process design and operation perspective. 177, 1351-1365.
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Dao, U., Sajid, Z., Khan, F., & Zhang, Y.
(2023).
Dynamic Bayesian network model to study under-deposit corrosion. 237, 109370-109370.
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Dao, U., Yarveisy, R., Anwar, S., Khan, F., Zhang, Y., & Ngo, H. H.
(2023).
A Bayesian approach to assess under-deposit corrosion in oil and gas pipelines. Process Safety and Environmental Protection.
176, 489-505.
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Shah, S., Khan, F., Zendehboudi, S., & Abbas, M.
(2023).
A hybrid connectionist enhanced oil recovery model with real-time probabilistic risk assessment. 227, 211760-211760.
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Yarveisy, R., Khan, F., & Abbassi, R.
(2023).
Data-driven Model to Predict Burst Pressure in the Presence of Interacting Corrosion Pits. 100146-100146.
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Norazahar, N., Khan, F., Rahmani, N., & Ahmad, A.
(2023).
Degradation modelling and reliability analysis of PEM electrolyzer. International Journal of Hydrogen Energy.
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Li, X., Chen, G., Amyotte, P., Alauddin, M., & Khan, F.
(2023).
Modeling and analysis of domino effect in petrochemical storage tank farms under the synergistic effect of explosion and fire. Process Safety and Environmental Protection.
176, 706-715.
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Dao, U., Sajid, Z., Khan, F., & Zhang, Y.
(2023).
Safety analysis of blended hydrogen pipelines using dynamic object-oriented bayesian network. International Journal of Hydrogen Energy.
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Saeed, M. S., Fahd, F., Khan, F., Chen, B., & Sadiq, R.
(2023).
Human health risk model for microplastic exposure in the Arctic region. Science of the Total Environment.
895, 165150-165150.
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Domeh, V., Obeng, F., Khan, F., Bose, N., & Sanli, E.
(2023).
An operational risk awareness tool for small fishing vessels operating in harsh environment. 234, 109139-109139.
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Alauddin, M., Khan, F., Imtiaz, S., Ahmed, S., & Amyotte, P.
(2023).
Integrating process dynamics in data-driven models of chemical processing systems. Process Safety and Environmental Protection.
174, 158-168.
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Dao, U., Sajid, Z., Khan, F., Zhang, Y., & Tran, T.
(2023).
Modeling and analysis of internal corrosion induced failure of oil and gas pipelines. Reliability Engineering and System Safety.
234, 109170-109170.
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Daley, J., Khan, F., & Amin, M. T.
(2023).
Process safety analysis using operational data and Bayesian network. Process Safety Progress.
42(2), 269-280.
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Chen, X. i., Bose, N., Brito, M., Khan, F., & Zou, T.
(2023).
A copula-based method of risk prediction for autonomous underwater gliders in dynamic environments. Risk Analysis: an international journal.
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Ramadhani, A., Khan, F., Colbourne, B., Ahmed, S., & Taleb-Berrouane, M.
(2023).
A multivariate model to estimate environmental load on an offshore structure. OCEAN ENGINEERING.
274, 114067-114067.
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Wen, H. e., Khan, F., Ahmed, S., Imtiaz, S., & Pistikopoulos, S.
(2023).
Risk assessment of human-automation conflict under cyberattacks in process systems. Computers and Chemical Engineering.
172, 108175-108175.
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Wen, H. e., Amin, M. T., Khan, F., Ahmed, S., Imtiaz, S., & Pistikopoulos, E.
(2023).
Assessment of Situation Awareness Conflict Risk between Human and AI in Process System Operation. Industrial and Engineering Chemistry Research.
62(9), 4028-4038.
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Okoro, A., Khan, F., & Ahmed, S.
(2023).
Dependency effect on the reliability-based design optimization of complex offshore structure. Reliability Engineering and System Safety.
231, 109026-109026.
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Zarei, E., Khan, F., & Abbassi, R.
(2023).
How to account artificial intelligence in human factor analysis of complex systems?. Process Safety and Environmental Protection.
171, 736-750.
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Adumene, S., Khan, F., Adedigba, S., Mamudu, A., & Rosli, M. I.
(2023).
Offshore oil and gas development in remote harsh environments: engineering challenges and research opportunities. Safety in Extreme Environments.
5(1), 17-33.
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Asif, M., Khan, F., Hawboldt, K., & Anwar, S.
(2023).
Sulfide (H2S) Corrosion Modeling of Cr-Doped Iron (Fe) Using a Molecular Modeling Approach. ACS Omega.
8(8), 7395-7406.
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Yazdi, M., Khan, F., & Abbassi, R.
(2023).
A dynamic model for microbiologically influenced corrosion (MIC) integrity risk management of subsea pipelines. OCEAN ENGINEERING.
269(Reliab. Eng. Syst. Saf. 193 2020), 113515-113515.
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Kamil, M. Z., Khan, F., Halim, S. Z., Amyotte, P., & Ahmed, S.
(2023).
A methodical approach for knowledge-based fire and explosion accident likelihood analysis. Process Safety and Environmental Protection.
170, 339-355.
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Wang, Y., Wang, T., Wang, C., & Khan, F.
(2023).
Modeling and risk analysis of large-scale crude oil pool fire on an offshore facility
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Sardar, A., Anantharaman, M., Garaniya, V., & Khan, F.
(2023).
Optimization of Daily Operations in the Marine Industry Using Ant Colony Optimization (ACO)-An Artificial Intelligence (AI) Approach. TransNav : International Journal on Marine Navigation and Safety of Sea Transportation.
17(2), 289-295.
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Kamil, M. Z., Taleb-Berrouane, M., Khan, F., Amyotte, P., & Ahmed, S.
(2023).
Textual data transformations using natural language processing for risk assessment. Risk Analysis: an international journal.
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Arif, M., Khan, F., Ahmed, S., & Imtiaz, S.
(2022).
Extreme wind load analysis using non-stationary risk-based approach. Safety in Extreme Environments.
4(3), 247-255.
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Amin, M. T., & Khan, F.
(2022).
Dynamic Process Safety Assessment Using Adaptive Bayesian Network with Loss Function. Industrial and Engineering Chemistry Research.
61(45), 16799-16814.
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Elsanoose, A., Abobaker, E., Khan, F., Rahman, M. A., Aborig, A., & Butt, S. D.
(2022).
Characterization of a Non-Darcy Flow and Development of New Correlation of NON-Darcy Coefficient. Energies.
15(20), 7616-7616.
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Sarkar, S., Halim, S. Z., El-Halwagi, M. M., & Khan, F. I.
(2022).
Electrochemical models: methods and applications for safer lithium-ion battery operation. Journal of Electrochemical Society.
169(10), 100501-100501.
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Bergstrom, M., Browne, T., Ehlers, S., Helle, I., Herrnring, H., Khan, F., ... Veitch, B.
(2022).
A comprehensive approach to scenario-based risk management for Arctic waters. Ship Technology Research.
69(3), 129-157.
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Wen, H. e., Amin, M. T., Khan, F., Ahmed, S., Imtiaz, S., & Pistikopoulos, S.
(2022).
A methodology to assess human-automated system conflict from safety perspective. Computers and Chemical Engineering.
165, 107939-107939.
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Mamudu, A., Khan, F., Zendehboudi, S., & Adedigba, S.
(2022).
Logic-based data-driven operational risk model for augmented downhole petroleum production systems. Computers and Chemical Engineering.
165, 107914-107914.
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Mamudu, A., Khan, F., Zendehboudi, S., & Adedigba, S.
(2022).
A Connectionist Model for Dynamic Economic Risk Analysis of Hydrocarbons Production Systems. Risk Analysis: an international journal.
42(7), 1541-1570.
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Yazdi, M., Khan, F., Abbassi, R., Quddus, N., & Castaneda-Lopez, H.
(2022).
A review of risk-based decision-making models for microbiologically influenced corrosion (MIC) in offshore pipelines. Reliability Engineering and System Safety.
223, 108474-108474.
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Okoro, A., Khan, F., & Ahmed, S.
(2022).
A methodology for time-varying resilience quantification of an offshore natural gas pipeline. 2(2), 100054-100054.
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Domeh, V., Obeng, F., Khan, F., Bose, N., & Sanli, E.
(2022).
A novel methodology to develop risk-based maintenance strategies for fishing vessels. OCEAN ENGINEERING.
253, 111281-111281.
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Yazdi, M., Khan, F., Abbassi, R., & Quddus, N.
(2022).
Resilience assessment of a subsea pipeline using dynamic Bayesian network. 2(2), 100053-100053.
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Ramadhani, A., Khan, F., Colbourne, B., Ahmed, S., & Taleb-Berrouane, M.
(2022).
Resilience assessment of offshore structures subjected to ice load considering complex dependencies. Reliability Engineering and System Safety.
222, 108421-108421.
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Halil, N., Rusli, R., Abidin, M. Z., Jamen, S., & Khan, F.
(2022).
An integrated health risk assessment with control banding for nanomaterials exposure. Process Safety Progress.
41(S1), S84-S97.
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Obeng, F., Domeh, V., Khan, F., Bose, N., & Sanli, E.
(2022).
Analyzing operational risk for small fishing vessels considering crew effectiveness. OCEAN ENGINEERING.
249, 110512-110512.
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Sardar, A., Garaniya, V., Anantharaman, M., Abbassi, R., & Khan, F.
(2022).
Comparison between simulation and conventional training: Expanding the concept of social fidelity. Process Safety Progress.
41(S1), S27-S38.
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Anantharaman, M., Islam, R., Garaniya, V., & Khan, F.
(2022).
Efficiency, safety, and reliability analysis of turbocharging in a large container vessel. Process Safety Progress.
41(S1), S168-S177.
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Chau, K., Djire, A., & Khan, F.
(2022).
Review and analysis of the hydrogen production technologies from a safety perspective. 47(29), 13990-14007.
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Elsanoose, A., Abobaker, E., Khan, F., Rahman, M. A., Aborig, A., & Butt, S. D.
(2022).
Estimating of Non-Darcy Flow Coefficient in Artificial Porous Media. Energies.
15(3), 1197-1197.
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Amin, M. T., Khan, F., Halim, S. Z., & Pistikopoulos, S.
(2022).
A holistic framework for process safety and security analysis. Computers and Chemical Engineering.
165, 107963-107963.
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Saeed, M. S., Halim, S. Z., Fahd, F., Khan, F., Sadiq, R., & Chen, B.
(2022).
An ecotoxicological risk model for the microplastics in arctic waters. Environmental Pollution.
315, 120417-120417.
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Zarei, E., Gholamizadeh, K., Khan, F., & Khakzad, N.
(2022).
A dynamic domino effect risk analysis model for rail transport of hazardous material. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
74, 104666-104666.
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Abobaker, E., Elsanoose, A., Khan, F., Rahman, M. A., Aborig, A., Noah, K., & Butt, S.
(2022).
A new assessment of perforation skin factor for vertical perforated wells in near-wellbore region. 12(1), 117-133.
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Ding, L., Khan, F., & Ji, J.
(2022).
A novel vulnerability model considering synergistic effect of fire and overpressure in chemical processing facilities. Reliability Engineering and System Safety.
217, 108081-108081.
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Arunthavanathan, R., Khan, F., Ahmed, S., & Imtiaz, S.
(2022).
Autonomous Fault Diagnosis and Root Cause Analysis for the Processing System Using One-Class SVM and NN Permutation Algorithm. Industrial and Engineering Chemistry Research.
61(3), 1408-1422.
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Obeng, F., Domeh, V., Khan, F., Bose, N., & Sanli, E.
(2022).
Capsizing accident scenario model for small fishing trawler. SAFETY SCIENCE.
145, 105500-105500.
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Browne, T., Veitch, B., Taylor, R., Smith, J., Smith, D., & Khan, F.
(2021).
A knowledge elicitation study to inform the development of a consequence model for Arctic ship evacuations: Qualitative and quantitative data. Data in Brief.
39, 107612-107612.
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Arif, M., Khan, F., Ahmed, S., & Imtiaz, S.
(2021).
Evolving extreme events caused by climate change: A tail based Bayesian approach for extreme event risk analysis. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability.
235(6), 963-972.
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Shi, J., Li, J., Khan, F., Chang, Y., Zhu, Y., & Chen, G.
(2021).
Explosion risk-based water spray mitigation analysis of ultra-deep-water semi-submersible platforms. OCEAN ENGINEERING.
239, 109716-109716.
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Bhadriraju, B., Kwon, J., & Khan, F.
(2021).
OASIS-P: Operable Adaptive Sparse Identification of Systems for fault Prognosis of chemical processes. Journal of Process Control.
107, 114-126.
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Arunthavanathan, R., Khan, F., Ahmed, S., & Imtiaz, S.
(2021).
A deep learning model for process fault prognosis. Process Safety and Environmental Protection.
154, 467-479.
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Osarogiagbon, A. U., Oloruntobi, O., Khan, F., Venkatesan, R., & Gillard, P.
(2021).
Combining porosity and resistivity logs for pore pressure prediction. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING.
205, 108819-108819.
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Anwar, S., Khan, F., Caines, S., & Zhang, Y.
(2021).
Corrosion behavior of aluminium alloys 2024 and 7075 under simulated marine environment. Safety in Extreme Environments.
3(3), 237-251.
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Wang, W., He, T., He, S., You, T., & Khan, F.
(2021).
Modeling of thermal runaway propagation of NMC battery packs after fast charging operation. Process Safety and Environmental Protection.
154, 104-117.
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Abobaker, E., Elsanoose, A., Khan, F., Rahman, M. A., Aborig, A., & Noah, K.
(2021).
A New Evaluation of Skin Factor in Inclined Wells with Anisotropic Permeability. Energies.
14(17), 5585-5585.
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Okoro, A., Khan, F., & Ahmed, S.
(2021).
An Active Learning Polynomial Chaos Kriging metamodel for reliability assessment of marine structures. OCEAN ENGINEERING.
235, 109399-109399.
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Yan, X., Rahman, S., Rostami, M., Tabasi, Z. A., Khan, F., Alodhayb, A., & Zhang, Y.
(2021).
Carbon Quantum Dot-Incorporated Chitosan Hydrogel for Selective Sensing of Hg2+ Ions: Synthesis, Characterization, and Density Functional Theory Calculation. ACS Omega.
6(36), 23504-23514.
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Kamil, M. Z., Taleb-Berrouane, M., Khan, F., & Amyotte, P.
(2021).
Data-driven operational failure likelihood model for microbiologically influenced corrosion. Process Safety and Environmental Protection.
153, 472-485.
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Anwar, S., Khan, F., Zhang, Y., & Djire, A.
(2021).
Recent development in electrocatalysts for hydrogen production through water electrolysis. International Journal of Hydrogen Energy.
46(63), 32284-32317.
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Bhadriraju, B., Sang-Il Kwon, J., & Khan, F.
(2021).
Risk-based fault prediction of chemical processes using operable adaptive sparse identification of systems (OASIS). Computers and Chemical Engineering.
152, 107378-107378.
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Abobaker, E., Elsanoose, A., Khan, F., Rahman, M. A., Aborig, A., & Butt, S.
(2021).
Comparison of Crushed-Zone Skin Factor for Cased and Perforated Wells Calculated with and without including a Tip-Crushed Zone Effect. Geofluids.
2021, 1-13.
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Mamudu, A., Khan, F., Zendehboudi, S., & Adedigba, S.
(2021).
Dynamic risk modeling of complex hydrocarbon production systems. Process Safety and Environmental Protection.
151, 71-84.
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Ramadhani, A., Khan, F., Colbourne, B., Ahmed, S., & Taleb-Berrouane, M.
(2021).
Environmental load estimation for offshore structures considering parametric dependencies. Safety in Extreme Environments.
3(2), 75-101.
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Abobaker, E., Elsanoose, A., Khan, F., Rahman, M. A., Aborig, A., & Noah, K.
(2021).
Quantifying the partial penetration skin factor for evaluating the completion efficiency of vertical oil wells. Journal of Petroleum Exploration and Production Technologies.
11(7), 3031-3043.
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Amin, M. T., Khan, F., Ahmed, S., & Imtiaz, S.
(2021).
A data-driven Bayesian network learning method for process fault diagnosis. Process Safety and Environmental Protection.
150, 110-122.
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Alauddin, M. d., Khan, F., Imtiaz, S., Ahmed, S., & Amyotte, P.
(2021).
Pandemic risk management using engineering safety principles. Process Safety and Environmental Protection.
150, 416-432.
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Aghatise, O., Khan, F., & Ahmed, S.
(2021).
Reliability assessment of marine structures considering multidimensional dependency of the variables. OCEAN ENGINEERING.
230, 109021-109021.
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Domeh, V., Obeng, F., Khan, F., Bose, N., & Sanli, E.
(2021).
Risk analysis of man overboard scenario in a small fishing vessel. OCEAN ENGINEERING.
229, 108979-108979.
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Amin, M. T., Khan, F., Ahmed, S., & Imtiaz, S.
(2021).
Risk-based fault detection and diagnosis for nonlinear and non-Gaussian process systems using R-vine copula. Process Safety and Environmental Protection.
150, 123-136.
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Dawuda, A., Taleb-berrouane, M., & Khan, F.
(2021).
A probabilistic model to estimate microbiologically influenced corrosion rate. Process Safety and Environmental Protection.
148, 908-926.
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Yazdi, M., Khan, F., & Abbassi, R.
(2021).
Microbiologically influenced corrosion (MIC) management using Bayesian inference. OCEAN ENGINEERING.
226, 108852-108852.
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Osarogiagbon, A. U., Khan, F., Venkatesan, R., & Gillard, P.
(2021).
Review and analysis of supervised machine learning algorithms for hazardous events in drilling operations. Process Safety and Environmental Protection.
147, 367-384.
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Anwar, S., Khan, F., Zhang, Y., & Caines, S.
(2021).
Zn composite corrosion resistance coatings: What works and what does not work?. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
69, 104376-104376.
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Yang, L., Li, K., Song, G., & Khan, F.
(2021).
Dynamic Railway Derailment Risk Analysis with Text-Data-Based Bayesian Network. Applied Sciences.
11(3), 994-994.
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Mamudu, A., Khan, F., Zendehboudi, S., & Adedigba, S.
(2020).
A hybrid intelligent model for reservoir production and associated dynamic risks. Journal of Natural Gas Science and Engineering.
83, 103512-103512.
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Ding, L., Khan, F., & Ji, J.
(2020).
A novel approach for domino effects modeling and risk analysis based on synergistic effect and accident evidence. Reliability Engineering and System Safety.
203, 107109-107109.
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Alauddin, M. d., Islam Khan, M. A., Khan, F., Imtiaz, S., Ahmed, S., & Amyotte, P.
(2020).
How can process safety and a risk management approach guide pandemic risk management?. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
68, 104310-104310.
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Altuwair, I. A., & Khan, F.
(2020).
Safety analysis of instantaneous release of compressed natural gas from a cylinder. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
68, 104284-104284.
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Oliveira, G., Khan, F., & James, L.
(2020).
Ecological Risk Assessment of Oil Spills in Ice-Covered Waters: A Surface Slick Model Coupled with a Food-Web Bioaccumulation Model. Integrated Environmental Assessment and Management.
16(5), 729-744.
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Song, G., Rossi, P. S., Khan, F., Paltrinieri, N., & BahooToroody, A.
(2020).
Model-based information fusion investigation on fault isolation of subsea systems considering the interaction among subsystems and sensors. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
67, 104267-104267.
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Babaleye, A., Kurt, R. E., & Khan, F.
(2020).
Dataset for estimating occurrence probability of causations for plugged, abandoned and decommissioned oil and gas wells. Data in Brief.
31, 105988-105988.
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Yazdi, M., Khan, F., Abbassi, R., & Rusli, R.
(2020).
Improved DEMATEL methodology for effective safety management decision-making. SAFETY SCIENCE.
127, 104705-104705.
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Fahd, F., Veitch, B., & Khan, F.
(2020).
Risk assessment of Arctic aquatic species using ecotoxicological biomarkers and Bayesian network. MARINE POLLUTION BULLETIN.
156, 111212-111212.
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Smith, D., Veitch, B., Khan, F., & Taylor, R.
(2020).
Integration of Resilience and FRAM for Safety Management. ASCE - ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering.
6(2), 04020008.
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Niazi, U. M., Nasif, M. S., Muhammad, M., & Khan, F.
(2020).
Investigating Vapour Cloud Explosion Dynamic Fatality Risk on Offshore Platforms by Using a Grid-Based Framework. Processes.
8(6), 685-685.
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Shi, J., Chang, Y., Khan, F., Zhu, Y., & Chen, G.
(2020).
Methodological improvements in the risk analysis of an urban hydrogen fueling station. Journal of Cleaner Production.
257, 120545-120545.
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Amin, M. T., Khan, F., Ahmed, S., & Imtiaz, S.
(2020).
A novel data-driven methodology for fault detection and dynamic risk assessment. Canadian Journal of Chemical Engineering.
98(11), 2397-2416.
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Yarveisy, R., Gao, C., & Khan, F.
(2020).
A simple yet robust resilience assessment metrics. Reliability Engineering and System Safety.
197, 106810-106810.
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Rahman, M. S., Colbourne, B., & Khan, F.
(2020).
Conceptual development of an offshore resource centre in support of remote harsh environment operations. OCEAN ENGINEERING.
203, 107236-107236.
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Pike, H., Khan, F., & Amyotte, P.
(2020).
Precautionary Principle (PP) versus As Low As Reasonably Practicable (ALARP): Which one to use and when. Process Safety and Environmental Protection.
137, 158-168.
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Shi, J., Chang, B. o., Khan, F., Chang, Y., Zhu, Y., Chen, G., & Zhang, C.
(2020).
Stochastic explosion risk analysis of hydrogen production facilities. International Journal of Hydrogen Energy.
45(24), 13535-13550.
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Browne, T., Taylor, R., Veitch, B., Kujala, P., Khan, F., & Smith, D.
(2020).
A Framework for Integrating Life-Safety and Environmental Consequences into Conventional Arctic Shipping Risk Models. Applied Sciences.
10(8), 2937-2937.
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Onalo, D., Adedigba, S., Oloruntobi, O., Khan, F., James, L. A., & Butt, S.
(2020).
Data-driven model for shear wave transit time prediction for formation evaluation. 10(4), 1429-1447.
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Sajid, Z., Khan, F., & Veitch, B.
(2020).
Dynamic ecological risk modelling of hydrocarbon release scenarios in Arctic waters. MARINE POLLUTION BULLETIN.
153, 111001-111001.
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Zare, M., Kondori, J., Zendehboudi, S., & Khan, F.
(2020).
PC-SAFT/UNIQUAC model assesses formation condition of methane hydrate in the presence of imidazolium-based ionic liquid systems. Fuel: the science and technology of fuel and energy.
266, 116757-116757.
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Shi, J., Chang, Y., Xu, C., Khan, F., Chen, G., & Li, C.
(2020).
Real-time leak detection using an infrared camera and Faster R-CNN technique. Computers and Chemical Engineering.
135, 106780-106780.
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Islam, R., Anantharaman, M., Khan, F., Abbassi, R., & Garaniya, V.
(2020).
A hybrid human reliability assessment technique for the maintenance operations of marine and offshore systems. Process Safety Progress.
39(S1),
-
Alauddin, M. d., Khan, F., Imtiaz, S., & Ahmed, S.
(2020).
A variable mosquito flying optimization-based hybrid artificial neural network model for the alarm tuning of process fault detection systems. Process Safety Progress.
39(S1),
-
Arunthavanathan, R., Khan, F., Ahmed, S., Imtiaz, S., & Rusli, R.
(2020).
Fault detection and diagnosis in process system using artificial intelligence-based cognitive technique. Computers and Chemical Engineering.
134, 106697-106697.
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Tahoon, A. I., Rusli, R., Khan, F., & Abidin, M. Z.
(2020).
Logic-based probabilistic network model to detect and track faults in a process system. Process Safety Progress.
39(S1),
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Tan, J. W., Garaniya, V., Baalisampang, T., Abbassi, R., Khan, F., & Dadashzadeh, M.
(2020).
Modeling impacts of combustion products on humans in complex processing facilities. Process Safety Progress.
39(S1),
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Fu, J., & Khan, F.
(2020).
Monitoring and modeling of environmental load considering dependence and its impact on the failure probability. OCEAN ENGINEERING.
199, 107008-107008.
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Ghosh, A., Ahmed, S., Khan, F., & Rusli, R.
(2020).
Process Safety Assessment Considering Multivariate Non-linear Dependence Among Process Variables. Process Safety and Environmental Protection.
135, 70-80.
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Ding, L., Ji, J., Khan, F., Li, X., & Wan, S.
(2020).
Quantitative fire risk assessment of cotton storage and a criticality analysis of risk control strategies. Fire and Materials: an international journal.
44(2), 165-179.
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Musharraf, M., Smith, J., Khan, F., & Veitch, B.
(2020).
Identifying route selection strategies in offshore emergency situations using decision trees. Reliability Engineering and System Safety.
194, 106179-106179.
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Li, F., Wang, W., Xu, J., Dubljevic, S., Khan, F., & Yi, J.
(2020).
A CAST-based causal analysis of the catastrophic underground pipeline gas explosion in Taiwan. Engineering Failure Analysis.
108, 104343-104343.
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Rahman, M. S., Khan, F., Shaikh, A., Ahmed, S., & Imtiaz, S.
(2020).
A conditional dependence-based marine logistics support risk model. Reliability Engineering and System Safety.
193, 106623-106623.
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Yang, R., Khan, F., Taleb-Berrouane, M., & Kong, D.
(2020).
A time-dependent probabilistic model for fire accident analysis. Fire Safety Journal.
111, 102891-102891.
-
Taleb-Berrouane, M., Khan, F., & Amyotte, P.
(2020).
Bayesian Stochastic Petri Nets (BSPN) - A new modelling tool for dynamic safety and reliability analysis. Reliability Engineering and System Safety.
193, 106587-106587.
-
Mamudu, A., Khan, F., Zendehboudi, S., & Adedigba, S.
(2020).
Dynamic risk assessment of reservoir production using data-driven probabilistic approach. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING.
184, 106486-106486.
-
Gunasekera, M., Ahmed, S., & Khan, F.
(2020).
Integration of process safety in equipment design: A framework for academic learning activity. Education for Chemical Engineers.
30, 32-39.
-
Amin, M. T., Khan, F., & Zuo, M. J.
(2019).
A bibliometric analysis of process system failure and reliability literature. Engineering Failure Analysis.
106, 104152-104152.
-
Danial, S. N., Smith, J., Veitch, B., & Khan, F.
(2019).
On the realization of the recognition-primed decision model for artificial agents. Human-centric Computing and Information Sciences.
9(1), 36.
-
Danial, S. N., Smith, J., Khan, F., & Veitch, B.
(2019).
Situation awareness modeling for emergency management on offshore platforms. Human-centric Computing and Information Sciences.
9(1), 37.
-
Bhatia, K., Khan, F., Patel, H., & Abbassi, R.
(2019).
Dynamic risk-based inspection methodology. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
62, 103974-103974.
-
Babaleye, A. O., Kurt, R. E., & Khan, F.
(2019).
Hierarchical Bayesian model for failure analysis of offshore wells during decommissioning and abandonment processes. Process Safety and Environmental Protection.
131, 307-319.
-
Baalisampang, T., Khan, F., Abbassi, R., & Garaniya, V.
(2019).
Methodology to analyse LNG spill on steel structure in congested marine offshore facility. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
62, 103936-103936.
-
Addo, A., Dastidar, A. G., Taveau, J. R., Morrison, L. S., Khan, F. I., & Amyotte, P. R.
(2019).
Niacin, lycopodium and polyethylene powder explosibility in 20-L and 1-m(3) test chambers. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
62, 103937-103937.
-
Lim, J. W., Baalisampang, T., Garaniya, V., Abbassi, R., Khan, F., & Ji, J.
(2019).
Numerical analysis of performances of passive fire protections in processing facilities. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
62, 103970-103970.
-
Fu, J., & Khan, F.
(2019).
Operational failure model for semi-submersible mobile units in harsh environments. OCEAN ENGINEERING.
191, 106332-106332.
-
Moshtagh, B., Hawboldt, K., & Zhang, B.
(2019).
Optimization of biosurfactant production by Bacillus Subtilis N3-1P using the brewery waste as the carbon source. Environmental Technology.
40(25), 3371-3380.
-
Sule, I., Imtiaz, S., Khan, F., & Butt, S.
(2019).
Risk analysis of well blowout scenarios during managed pressure drilling operation. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING.
182, 106296-106296.
-
Baalisampang, T., Abbassi, R., Garaniya, V., Khan, F., & Dadashzadeh, M.
(2019).
Accidental release of Liquefied Natural Gas in a processing facility: Effect of equipment congestion level on dispersion behaviour of the flammable vapour. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
61, 237-248.
-
Li, F., Wang, W., Dubljevic, S., Khan, F., Xu, J., & Yi, J.
(2019).
Analysis on accident-causing factors of urban buried gas pipeline network by combining DEMATEL, ISM and BN methods. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
61, 49-57.
-
Ding, L., Khan, F., Abbassi, R., & Ji, J.
(2019).
FSEM: An approach to model contribution of synergistic effect of fires for domino effects. Reliability Engineering and System Safety.
189, 271-278.
-
Anwar, S., Khan, F., Zhang, Y., & Caines, S.
(2019).
Optimization of zinc-nickel film electrodeposition for better corrosion resistant characteristics. Canadian Journal of Chemical Engineering.
97(9), 2426-2439.
-
Shekari, E., Khan, F., & Ahmed, S.
(2019).
Dynamic risk management of assets susceptible to pitting corrosion. 54(6), 463-475.
-
Khan, B., Khan, F., & Veitch, B.
(2019).
A cellular automation model for convoy traffic in Arctic waters. Cold Regions Science and Technology.
164, 102783-102783.
-
Shi, J., Li, X., Khan, F., Chang, Y., Zhu, Y., & Chen, G.
(2019).
Artificial bee colony Based Bayesian Regularization Artificial Neural Network approach to model transient flammable cloud dispersion in congested area. Process Safety and Environmental Protection.
128, 121-127.
-
Baalisampang, T., Abbassi, R., Garaniya, V., Khan, F., & Dadashzadeh, M.
(2019).
Modelling an integrated impact of fire, explosion and combustion products during transitional events caused by an accidental release of LNG. Process Safety and Environmental Protection.
128, 259-272.
-
Don, M. G., & Khan, F.
(2019).
Process Fault Prognosis Using Hidden Markov Model-Bayesian Networks Hybrid Model. Industrial and Engineering Chemistry Research.
58(27), 12041-12053.
-
Khan, M., Imtiaz, S. A., & Khan, F.
(2019).
Simultaneous Estimation of Hidden State and Unknown Input Using Expectation Maximization Algorithm. Industrial and Engineering Chemistry Research.
58(26), 11553-11565.
-
Don, M. G., & Khan, F.
(2019).
Auxiliary codes for fault prognosis of Tennessee Eastman process using a hybrid model (CPL1.0). SoftwareX.
10, 100309-100309.
-
Kong, D., He, X. u., Khan, F., Chen, G., Ping, P., Yang, H., & Peng, R.
(2019).
Small scale experiment study on burning characteristics for in-situ burning of crude oil on open water. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
60, 46-52.
-
Amin, M. T., Khan, F., & Amyotte, P.
(2019).
A bibliometric review of process safety and risk analysis. Process Safety and Environmental Protection.
126, 366-381.
-
Don, M. G., & Khan, F.
(2019).
Dynamic process fault detection and diagnosis based on a combined approach of hidden Markov and Bayesian network model. Chemical Engineering Science.
201, 82-96.
-
Ghosh, A., Ahmed, S., & Khan, F.
(2019).
Modeling and Testing of Temporal Dependency in the Failure of a Process System. Industrial and Engineering Chemistry Research.
58(19), 8162-8171.
-
Fahd, F., Veitch, B., & Khan, F.
(2019).
Arctic marine fish 'biotransformation toxicity' model for ecological risk assessment. MARINE POLLUTION BULLETIN.
142, 408-418.
-
Danial, S. N., Smith, J., Khan, F., & Veitch, B.
(2019).
Human-Like Sequential Learning of Escape Routes for Virtual Reality Agents. Fire Technology.
55(3), 1057-1083.
-
Amin, A. l., Imtiaz, S., Rahman, A., & Khan, F.
(2019).
Nonlinear model predictive control of a Hammerstein Weiner model based experimental managed pressure drilling setup. ISA TRANSACTIONS.
88, 225-232.
-
Aziz, A., Ahmed, S., Khan, F., Stack, C., & Lind, A.
(2019).
Operational risk assessment model for marine vessels. Reliability Engineering and System Safety.
185, 348-361.
-
Li, X., Chen, G., & Khan, F.
(2019).
Analysis of underwater gas release and dispersion behavior to assess subsea safety risk. JOURNAL OF HAZARDOUS MATERIALS.
367, 676-685.
-
Onalo, D., Oloruntobi, O., Adedigba, S., Khan, F., James, L., & Butt, S.
(2019).
Dynamic data driven sonic well log model for formation evaluation. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING.
175, 1049-1062.
-
Kamil, M. Z., Taleb-Berrouane, M., Khan, F., & Ahmed, S.
(2019).
Dynamic domino effect risk assessment using Petri-nets. Process Safety and Environmental Protection.
124, 308-316.
-
Li, X., Chen, G., Khan, F., & Xu, C.
(2019).
Dynamic risk assessment of subsea pipelines leak using precursor data. OCEAN ENGINEERING.
178, 156-169.
-
Abimbola, M., & Khan, F.
(2019).
Resilience modeling of engineering systems using dynamic object-oriented Bayesian network approach. Computers and Industrial Engineering.
130, 108-118.
-
Musharraf, M., Moyle, A., Khan, F., & Veitch, B.
(2019).
Using Simulator Data to Facilitate Human Reliability Analysis. Journal of Offshore Mechanics and Arctic Engineering: Transactions of the ASME.
141(2),
-
Hashemi, S. J., Khan, F., & Ahmed, S.
(2019).
An Insurance Model for Risk Management of Process Facilities. Risk Analysis: an international journal.
39(3), 713-728.
-
Aziz, A., Ahmed, S., & Khan, F. I.
(2019).
An ontology-based methodology for hazard identification and causation analysis. Process Safety and Environmental Protection.
123, 87-98.
-
Guo, C., Khan, F., & Imtiaz, S.
(2019).
Copula-based Bayesian network model for process system risk assessment. Process Safety and Environmental Protection.
123, 317-326.
-
Sule, I. O., Khan, F., & Butt, S.
(2019).
Experimental investigation of gas kick effects on dynamic drilling parameters. 9(1), 605-616.
-
Song, G., Khan, F., & Yang, M.
(2019).
Integrated risk management of hazardous processing facilities. Process Safety Progress.
38(1), 42-51.
-
Sule, I., Imtiaz, S., Khan, F., & Butt, S.
(2019).
Nonlinear model predictive control of gas kick in a managed pressure drilling system. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING.
174, 1223-1235.
-
Chen, K., Liu, D., Fan, Z., Chen, X. u., & Khan, F.
(2019).
Risk Analysis of Oilfield Gathering Station. Process Safety Progress.
38(1), 71-77.
-
Musharraf, M., Khan, F., & Veitch, B.
(2019).
Validating Human Behavior Representation Model of General Personnel During Offshore Emergency Situations. Fire Technology.
55(2), 643-665.
-
Rahman, M. S., Khan, F., Shaikh, A., Ahmed, S., & Imtiaz, S.
(2019).
Development of risk model for marine logistics support to offshore oil and gas operations in remote and harsh environments. OCEAN ENGINEERING.
174, 125-134.
-
Amin, M. T., Khan, F., & Imtiaz, S.
(2019).
Fault detection and pathway analysis using a dynamic Bayesian network. Chemical Engineering Science.
195, 777-790.
-
Zarei, E., Yazdi, M., Abbassi, R., & Khan, F.
(2019).
A hybrid model for human factor analysis in process accidents: FBN-HFACS. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
57, 142-155.
-
Shi, J., Zhu, Y., Khan, F., & Chen, G.
(2019).
Application of Bayesian Regularization Artificial Neural Network in explosion risk analysis of fixed offshore platform. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
57, 131-141.
-
Shi, J., Zhu, Y., Kong, D., Khan, F., Li, J., & Chen, G.
(2019).
Stochastic analysis of explosion risk for ultra-deep-water semi-submersible offshore platforms. OCEAN ENGINEERING.
172, 844-856.
-
Fletcher, T., Garaniya, V., Chai, S., Abbassi, R., Yu, H., Van, T. C., Brown, R. J., & Khan, F.
(2018).
AN APPLICATION OF MACHINE LEARNING TO SHIPPING EMISSION INVENTORY. 160(A4), A381-A395.
-
Ehlers, U. C., Ryeng, E. O., McCormack, E., Khan, F., & Ehlers, S.
(2018).
Bowtie Analysis without Expert Acquisition for Safety Effect Assessments of Cooperative Intelligent Transport Systems. ASCE - ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering.
4(4), 04018036.
-
Ibrahim, A., Hawboldt, K., Bottaro, C., & Khan, F.
(2018).
Review and analysis of microbiologically influenced corrosion: the chemical environment in oil and gas facilities. 53(8), 549-563.
-
Wang, H., Khan, F., & Abimbola, M.
(2018).
A new method to study the performance of safety alarm system in process operations. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
56, 104-118.
-
Onalo, D., Adedigba, S., Khan, F., James, L. A., & Butt, S.
(2018).
Data driven model for sonic well log prediction. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING.
170, 1022-1037.
-
Sarwar, A., Khan, F., James, L., & Abimbola, M.
(2018).
Integrated offshore power operation resilience assessment using Object Oriented Bayesian network. OCEAN ENGINEERING.
167, 257-266.
-
Cloney, C. T., Ripley, R. C., Pegg, M. J., Khan, F., & Amyotte, P. R.
(2018).
Lower flammability limits of hybrid mixtures containing 10 micron coal dust particles and methane gas. Process Safety and Environmental Protection.
120, 215-226.
-
Amin, M. T., Imtiaz, S., & Khan, F.
(2018).
Process system fault detection and diagnosis using a hybrid technique. Chemical Engineering Science.
189, 191-211.
-
Arzaghi, E., Abbassi, R., Garaniya, V., Binns, J., & Khan, F.
(2018).
An ecological risk assessment model for Arctic oil spills from a subsea pipeline. MARINE POLLUTION BULLETIN.
135, 1117-1127.
-
Gunasekera, M., Khan, F., & Ahmed, S.
(2018).
Learning process safety principles through practice. Process Safety Progress.
37(3), 347-354.
-
Shadbahr, J., Zhang, Y., Khan, F., & Hawboldt, K.
(2018).
Multi-objective optimization of simultaneous saccharification and fermentation for cellulosic ethanol production. Renewable Energy.
125, 100-107.
-
Alauddin, M. d., Khan, F., Imtiaz, S., & Ahmed, S.
(2018).
A Bibliometric Review and Analysis of Data-Driven Fault Detection and Diagnosis Methods for Process Systems. Industrial and Engineering Chemistry Research.
57(32), 10719-10735.
-
Arzaghi, E., Abaei, M. M., Abbassi, R., Garaniya, V., Binns, J., Chin, C., & Khan, F.
(2018).
A hierarchical Bayesian approach to modelling fate and transport of oil released from subsea pipelines. Process Safety and Environmental Protection.
118, 307-315.
-
Anwar, S., Zhang, Y., & Khan, F.
(2018).
Electrochemical behaviour and analysis of Zn and Zn-Ni alloy anti-corrosive coatings deposited from citrate baths. RSC Advances: an international journal to further the chemical sciences.
8(51), 28861-28873.
-
Taleb-Berrouane, M., Khan, F., Hawboldt, K., Eckert, R., & Skovhus, T. L.
(2018).
Model for microbiologically influenced corrosion potential assessment for the oil and gas industry. 53(5), 378-392.
-
Baksh, A., Abbassi, R., Garaniya, V., & Khan, F.
(2018).
Marine transportation risk assessment using Bayesian Network: Application to Arctic waters. OCEAN ENGINEERING.
159, 422-436.
-
Oloruntobi, O., Adedigba, S., Khan, F., Chunduru, R., & Butt, S.
(2018).
Overpressure prediction using the hydro-rotary specific energy concept. Journal of Natural Gas Science and Engineering.
55, 243-253.
-
Song, G., Khan, F., & Yang, M.
(2018).
Security assessment of process facilities - Intrusion modeling. Process Safety and Environmental Protection.
117, 639-650.
-
Danial, S. N., Khan, F., & Veitch, B.
(2018).
A Generalized Stochastic Petri Net model of route learning for emergency egress situations. Engineering Applications of Artificial Intelligence.
72, 170-182.
-
Yang, R., Khan, F., Yang, M., Kong, D., & Xu, C.
(2018).
A numerical fire simulation approach for effectiveness analysis of fire safety measures in floating liquefied natural gas facilities. OCEAN ENGINEERING.
157, 219-233.
-
Abaei, M. M., Arzaghi, E., Abbassi, R., Garaniya, V., Chai, S., & Khan, F.
(2018).
A robust risk assessment methodology for safety analysis of marine structures under storm conditions. OCEAN ENGINEERING.
156, 167-178.
-
Adedigba, S. A., Khan, F., & Yang, M.
(2018).
An integrated approach for dynamic economic risk assessment of process systems. Process Safety and Environmental Protection.
116, 312-323.
-
Sajid, Z., Khan, F., & Zhang, Y.
(2018).
A novel process economics risk model applied to biodiesel production system. Renewable Energy.
118, 615-626.
-
ALNabhani, K., Khan, F., & Yang, M.
(2018).
Dynamic modeling of TENORM exposure risk during drilling and production. 8(1), 175-188.
-
Sule, I., Khan, F., Butt, S., & Yang, M.
(2018).
Kick control reliability analysis of managed pressure drilling operation. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
52, 7-20.
-
Khan, B., Khan, F., Veitch, B., & Yang, M.
(2018).
An operational risk analysis tool to analyze marine transportation in Arctic waters. Reliability Engineering and System Safety.
169, 485-502.
-
Deyab, S. M., Taleb-Berrouane, M., Khan, F., & Yang, M.
(2018).
Failure analysis of the offshore process component considering causation dependence. Process Safety and Environmental Protection.
113, 220-232.
-
Adedigba, S. A., Khan, F., & Yang, M.
(2017).
Dynamic failure analysis of process systems using neural networks. Process Safety and Environmental Protection.
111, 529-543.
-
Yu, H., & Khan, F.
(2017).
Improved latent variable models for nonlinear and dynamic process monitoring. Chemical Engineering Science.
168, 325-338.
-
Khalezad, S., Khan, F., Abbassi, R., & Khakzad, N.
(2017).
Accident risk-based life cycle assessment methodology for green and safe fuel selection. Process Safety and Environmental Protection.
109, 268-287.
-
Fahd, F., Khan, F., Veitch, B., & Yang, M.
(2017).
Aquatic ecotoxicological models and their applicability in Arctic regions. MARINE POLLUTION BULLETIN.
120(1-2), 428-437.
-
Norazahar, N., Khan, F., Veitch, B., & MacKinnon, S.
(2017).
Prioritizing safety critical human and organizational factors of EER systems of offshore installations in a harsh environment. SAFETY SCIENCE.
95, 171-181.
-
Caines, S., Khan, F., Zhang, Y., & Shirokoff, J.
(2017).
Simplified electrochemical potential noise method to predict corrosion and corrosion rate. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
47, 72-84.
-
Adedigba, S. A., Khan, F., & Yang, M.
(2017).
Dynamic Failure Analysis of Process Systems Using Principal Component Analysis and Bayesian Network. Industrial and Engineering Chemistry Research.
56(8), 2094-2106.
-
Gharahbagheri, H., Imtiaz, S. A., & Khan, F.
(2017).
Root Cause Diagnosis of Process Fault Using KPCA and Bayesian Network. Industrial and Engineering Chemistry Research.
56(8), 2054-2070.
-
El-Gheriani, M., Khan, F., Chen, D., & Abbassi, R.
(2017).
Major accident modelling using spare data. Process Safety and Environmental Protection.
106, 52-59.
-
Xin, P., Khan, F., & Ahmed, S.
(2017).
Dynamic hazard identification and scenario mapping using Bayesian network. Process Safety and Environmental Protection.
105, 143-155.
-
Smith, D., Veitch, B., Khan, F., & Taylor, R.
(2017).
Understanding industrial safety: Comparing Fault tree, Bayesian network, and FRAM approaches. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
45, 88-101.
-
Khan, F., Hashemi, S. J., Paltrinieri, N., Amyotte, P., Cozzani, V., & Reniers, G.
(2016).
Dynamic risk management: a contemporary approach to process safety management. Current Opinion in Chemical Engineering.
14, 9-17.
-
Afenyo, M., Khan, F., Veitch, B., & Yang, M.
(2016).
Dynamic fugacity model for accidental oil release during Arctic shipping. MARINE POLLUTION BULLETIN.
111(1-2), 347-353.
-
Hashemi, S. J., Khan, F., & Ahmed, S.
(2016).
Multivariate probabilistic safety analysis of process facilities using the Copula Bayesian Network model. Computers and Chemical Engineering.
93, 128-142.
-
van Staalduinen, M. A., Khan, F., & Gadag, V.
(2016).
SVAPP methodology: A predictive security vulnerability assessment modeling method. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
43, 397-413.
-
Khan, F., Wang, H., & Yang, M.
(2016).
Application of loss functions in process economic risk assessment. 111, 371-386.
-
Abinibola, M., & Khan, F.
(2016).
Development of an integrated tool for risk analysis of drilling operations. Process Safety and Environmental Protection.
102, 421-430.
-
Adedigba, S. A., Khan, F., & Yang, M.
(2016).
Dynamic safety analysis of process systems using nonlinear and non-sequential accident model. 111, 169-183.
-
Adedigba, S. A., Khan, F., & Yang, M.
(2016).
Process accident model considering dependency among contributory factors. Process Safety and Environmental Protection.
102, 633-647.
-
ALNabhani, K., Khan, F., & Yang, M.
(2016).
The importance of public participation in legislation of TENORM risk management in the oil and gas industry. Process Safety and Environmental Protection.
102, 606-614.
-
Afenyo, M., Veitch, B., & Khan, F.
(2016).
A state-of-the-art review of fate and transport of oil spills in open and ice-covered water. OCEAN ENGINEERING.
119, 233-248.
-
Song, G., Khan, F., Wang, H., Leighton, S., Yuan, Z., & Liu, H.
(2016).
Dynamic occupational risk model for offshore operations in harsh environments. Reliability Engineering and System Safety.
150, 58-64.
-
Afenyo, M., Khan, F., Veitch, B., & Yang, M.
(2016).
Modeling oil weathering and transport in sea ice. MARINE POLLUTION BULLETIN.
107(1), 206-215.
-
Hameed, A., Khan, F., & Ahmed, S.
(2016).
A risk-based shutdown inspection and maintenance interval estimation considering human error. Process Safety and Environmental Protection.
100, 9-21.
-
Yuan, Z., Khalezad, N., Khan, F., & Amyotte, P.
(2016).
Domino effect analysis of dust explosions using Bayesian networks. Process Safety and Environmental Protection.
100, 108-116.
-
Wang, H., Khan, F., Ahmed, S., & Imtiaz, S.
(2016).
Dynamic quantitative operational risk assessment of chemical processes. Chemical Engineering Science.
142, 62-78.
-
Nayeem, A. A., Venkatesan, R., & Khan, F.
(2016).
Monitoring of down-hole parameters for early kick detection. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
40, 43-54.
-
ALNabhani, K., Khan, F., & Yang, M.
(2016).
Scenario-based risk assessment of TENORM waste disposal options in oil and gas industry. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
40, 55-66.
-
Shekari, E., Khan, F., & Ahmed, S.
(2016).
A predictive approach to fitness-for-service assessment of pitting corrosion. International Journal of Pressure Vessels and Piping.
137, 13-21.
-
Sajid, Z., Zhang, Y., & Khan, F.
(2016).
Process design and probabilistic economic risk analysis of bio-diesel production. Sustainable Production and Consumption.
5, 1-15.
-
AL Nabhani, K., Khan, F., & Yang, M.
(2016).
Technologically Enhanced Naturally Occurring Radioactive Materials in oil and gas production: A silent killer. Process Safety and Environmental Protection.
99, 237-247.
-
Sulistiyono, H., Khan, F., Lye, L., & Yang, M.
(2015).
A risk-based approach to developing design temperatures for vessels operating in low temperature environments. OCEAN ENGINEERING.
108, 813-819.
-
Jujuly, M. M., Rahman, A., Ahmed, S., & Khan, F.
(2015).
LNG pool fire simulation for domino effect analysis. Reliability Engineering and System Safety.
143, 19-29.
-
Yu, H., Khan, F., & Garaniya, V.
(2015).
Nonlinear Gaussian Belief Network based fault diagnosis for industrial processes. Journal of Process Control.
35, 178-200.
-
Bhandari, J., Abbassi, R., Garaniya, V., & Khan, F.
(2015).
Risk analysis of deepwater drilling operations using Bayesian network. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
38, 11-23.
-
Bhandari, J., Khan, F., Abbassi, R., Garaniya, V., & Ojeda, R.
(2015).
Modelling of pitting corrosion in marine and offshore steel structures - A technical review. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
37, 39-62.
-
Aljaroudi, A., Khan, F., Akinturk, A., Haddara, M., & Thodi, P.
(2015).
Risk assessment of offshore crude oil pipeline failure. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
37, 101-109.
-
Yu, H., Khan, F., & Garaniya, V.
(2015).
Risk-based fault detection using Self-Organizing Map. Reliability Engineering and System Safety.
139, 82-96.
-
Caines, S., Khan, F., Shirokoff, J., & Qiu, W.
(2015).
Experimental design to study corrosion under insulation in harsh marine environments. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
33, 39-51.
-
Musharraf, M., Bradbury-Squires, D., Khan, F., Veitch, B., MacKinnon, S., & Imtiaz, S.
(2014).
A virtual experimental technique for data collection for a Bayesian network approach to human reliability analysis. Reliability Engineering and System Safety.
132, 1-8.
-
Norazahar, N., Khan, F., Veitch, B., & MacKinnon, S.
(2014).
Human and organizational factors assessment of the evacuation operation of BP Deepwater Horizon accident. SAFETY SCIENCE.
70, 41-49.
-
Hameed, A., & Khan, F.
(2014).
A framework to estimate the risk-based shutdown interval for a processing plant. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
32, 18-29.
-
Ahmed, Q., Khan, F., & Ahmed, S.
(2014).
Improving safety and availability of complex systems using a risk-based failure assessment approach. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
32, 218-229.
-
Hashemi, S. J., Ahmed, S., & Khan, F. I.
(2014).
Risk-based operational performance analysis using loss functions. Chemical Engineering Science.
116, 99-108.
-
Abimbola, M., Khan, F., & Khakzad, N.
(2014).
Dynamic safety risk analysis of offshore drilling. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
30, 74-85.
-
Hassan, J., Khan, F., Amyotte, P., & Ferdous, R.
(2014).
A model to assess dust explosion occurrence probability. JOURNAL OF HAZARDOUS MATERIALS.
268, 140-149.
-
Khan, F. I., Haddara, M. M., & Bhattacharya, S. K.
(2006).
Risk-based integrity and inspection modeling (RBIIM) of process components/system. Risk Analysis: an international journal.
26(1), 203-221.
-
Behie, S., Pasman, H., Halim, S. Z., Shell, K., El-Kady, A., & Khan, F.
(2023).
The business case for process safety: The foundational requirements to sustain success. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES.
85, 105159-105159.
-
chapter
-
Sulistiyono, H., Khan, F. I., Saidah, H., Setiawan, E., Yasa, I. W., Suteja, I. W., Salehudin, .., & Negara, I.
(2023).
The Development of the SARIMA Model for Flood Disaster Resilience. Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Civil and Architecture).
(pp. 211-222).
Atlantis Press.
-
Sulistiyono, H., Khan, F. I., Saidah, H., Setiawan, E., Yasa, I. W., Suteja, I. W., Salehudin, .., & Negara, I.
(2023).
The Development of the SARIMA Model for Flood Disaster Resilience. Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Civil and Architecture).
(pp. 211-222).
Atlantis Press.
-
conference paper
-
Amin, M. T., Khan, F., Imtiaz, S., & Ahmed, S.
(2019).
Robust Process Monitoring Methodology for Detection and Diagnosis of Unobservable Faults. Industrial and Engineering Chemistry Research.
19149-19165.
-
Amyotte, P., Irvine, Y., & Khan, F.
(2018).
Chemical safety board investigation reports and the hierarchy of controls: Round 2. Process Safety Progress.
459-466.
-
Ji, J., Tong, Q. i., Khan, F., Dadashzadeh, M., & Abbassi, R.
(2018).
Risk-Based Domino Effect Analysis for Fire and Explosion Accidents Considering Uncertainty in Processing Facilities. Industrial and Engineering Chemistry Research.
3990-4006.
-
Amin, M. T., Khan, F., Imtiaz, S., & Ahmed, S.
(2019).
Robust Process Monitoring Methodology for Detection and Diagnosis of Unobservable Faults. Industrial and Engineering Chemistry Research.
19149-19165.
Teaching
teaching activities
- CHEN491 Hnr-research Instructor
- CHEN684 Prof Internship: In-ab Instructor
- CHEN685 Directed Studies Instructor
- CHEN691 Research Instructor
- ICPE626 Safety In Energy Systems Instructor
- ITDE691 Research Instructor
- SENG422 Fire Protection Fac Des Instructor
- SENG677 Fire Protection Instructor
- SENG681 Seminar Instructor
- SENG685 Directed Studies Instructor
- SENG689 Sptp: Reliability Engineering Instructor
- SENG691 Research Instructor
Contact
first name
- Faisal
has last name
- Khan
Other
- fikhan@tamu.edu