Khan, Faisal individual record
Research Professor
Positions:
selected publications
Academic Articles175
  • 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 & System Safety. 222, 108421-108421.
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  • Halil, N., Rusli, R., Zainal Abidin, M., 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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  • Chau, K., Djire, A., & Khan, F. (2022). Review and analysis of the hydrogen production technologies from a safety perspective. International Journal of Hydrogen Energy. 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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  • 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. Journal of Petroleum Exploration and Production Technology. 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 & 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 & 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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  • Mamudu, A., Khan, F., Zendehboudi, S., & Adedigba, S. (2021). A Connectionist Model for Dynamic Economic Risk Analysis of Hydrocarbons Production Systems. Risk Analysis.
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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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  • 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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  • 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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  • 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.
  • Bhadriraju, B., Kwon, J., & Khan, F. (2021). Risk-based fault prediction of chemical processes using operable adaptive sparse identification of systems (OASIS). Computers & 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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  • 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 Technology. 11(7), 3031-3043.
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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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  • Amin, M. T., Khan, F., Ahmed, S., & Imtiaz, S. (2020). A novel datadriven methodology for fault detection and dynamic risk assessment. The Canadian Journal of Chemical Engineering. 98(11), 2397-2416.
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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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  • 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.. Integr Environ Assess Manag. 16(5), 729-744.
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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.. Mar Pollut Bull. 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), 04020008-04020008.
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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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  • Yarveisy, R., Gao, C., & Khan, F. (2020). A simple yet robust resilience assessment metrics. Reliability Engineering & 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. Journal of Petroleum Exploration and Production Technology. 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.. Mar Pollut Bull. 153, 111001-111001.
  • 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. 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 & 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),
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  • Alauddin, M. d., Khan, F., Imtiaz, S., & Ahmed, S. (2020). A variable mosquito flying optimizationbased hybrid artificial neural network model for the alarm tuning of process fault detection systems. Process Safety Progress. 39(S1),
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  • 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 & Chemical Engineering. 134, 106697-106697.
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  • Tahoon, A. I., Rusli, R., Khan, F., & Zainal Abidin, M. (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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  • 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. 44(2), 165-179.
  • Musharraf, M., Smith, J., Khan, F., & Veitch, B. (2020). Identifying route selection strategies in offshore emergency situations using decision trees. Reliability Engineering & 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 & 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 & System Safety. 193, 106587-106587.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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-m3 test chambers. Journal of Loss Prevention in the Process Industries. 62, 103937-103937.
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  • 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.
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  • Fu, J., & Khan, F. (2019). Operational failure model for semi-submersible mobile units in harsh environments. Ocean Engineering. 191, 106332-106332.
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  • Moshtagh, B., Hawboldt, K., & Zhang, B. (2019). Optimization of biosurfactant production by Bacillus Subtilis N3-1P using the brewery waste as the carbon source.. Environ Technol. 40(25), 3371-3380.
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  • 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.
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  • 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.
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  • 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.
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  • 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 & System Safety. 189, 271-278.
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  • Anwar, S., Khan, F., Zhang, Y., & Caines, S. (2019). Optimization of zincnickel film electrodeposition for better corrosion resistant characteristics. The Canadian Journal of Chemical Engineering. 97(9), 2426-2439.
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  • 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.
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  • 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.
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  • Shekari, E., Khan, F., & Ahmed, S. (2019). Dynamic risk management of assets susceptible to pitting corrosion. Corrosion Engineering, Science and Technology. 54(6), 463-475.
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  • 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.
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  • Galagedarage Don, M., & Khan, F. (2019). Auxiliary codes for fault prognosis of Tennessee Eastman process using a hybrid model (CPL1.0). SoftwareX. 10, 100309-100309.
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  • Galagedarage Don, M., & Khan, F. (2019). Process Fault Prognosis Using Hidden Markov ModelBayesian Networks Hybrid Model. Industrial & Engineering Chemistry Research. 58(27), 12041-12053.
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  • Khan, M., Imtiaz, S. A., & Khan, F. (2019). Simultaneous Estimation of Hidden State and Unknown Input Using Expectation Maximization Algorithm. Industrial & Engineering Chemistry Research. 58(26), 11553-11565.
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  • 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.
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  • 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.
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  • Galagedarage Don, M., & 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.
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  • Fahd, F., Veitch, B., & Khan, F. (2019). Arctic marine fish 'biotransformation toxicity' model for ecological risk assessment.. Mar Pollut Bull. 142, 408-418.
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  • 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.
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  • Ghosh, A., Ahmed, S., & Khan, F. (2019). Modeling and Testing of Temporal Dependency in the Failure of a Process System. Industrial & Engineering Chemistry Research. 58(19), 8162-8171.
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  • 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 Trans. 88, 225-232.
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  • Aziz, A., Ahmed, S., Khan, F., Stack, C., & Lind, A. (2019). Operational risk assessment model for marine vessels. Reliability Engineering & System Safety. 185, 348-361.
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  • Li, X., Chen, G., & Khan, F. (2019). Analysis of underwater gas release and dispersion behavior to assess subsea safety risk.. J Hazard Mater. 367, 676-685.
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  • 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.
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  • 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.
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  • Li, X., Chen, G., Khan, F., & Xu, C. (2019). Dynamic risk assessment of subsea pipelines leak using precursor data. Ocean Engineering. 178, 156-169.
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  • Abimbola, M., & Khan, F. (2019). Resilience modeling of engineering systems using dynamic object-oriented Bayesian network approach. Computers & Industrial Engineering. 130, 108-118.
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  • Musharraf, M., Moyle, A., Khan, F., & Veitch, B. (2019). Using Simulator Data to Facilitate Human Reliability Analysis. Journal of Offshore Mechanics and Arctic Engineering. 141(2),
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  • Hashemi, S. J., Khan, F., & Ahmed, S. (2019). An Insurance Model for Risk Management of Process Facilities.. Risk Anal. 39(3), 713-728.
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  • 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.
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  • 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.
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  • Sule, I. O., Khan, F., & Butt, S. (2019). Experimental investigation of gas kick effects on dynamic drilling parameters. Journal of Petroleum Exploration and Production Technology. 9(1), 605-616.
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  • Song, G., Khan, F., & Yang, M. (2019). Integrated risk management of hazardous processing facilities. Process Safety Progress. 38(1), 42-51.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • Amin, M. T., Khan, F., & Imtiaz, S. (2019). Fault detection and pathway analysis using a dynamic Bayesian network. Chemical Engineering Science. 195, 777-790.
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  • 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.
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Conference Papers3
  • Amin, M. T., Khan, F., Imtiaz, S., & Ahmed, S. (2019). Robust Process Monitoring Methodology for Detection and Diagnosis of Unobservable Faults. Industrial & Engineering Chemistry Research. 58(41), 19149-19165.
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  • Amyotte, P., Irvine, Y., & Khan, F. (2018). Chemical safety board investigation reports and the hierarchy of controls: Round 2. Process Safety Progress. 37(4), 459-466.
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  • 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 & Engineering Chemistry Research. 57(11), 3990-4006.
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recent teaching activities
Email
fikhan@tamu.edu
First Name
Faisal
Last Name
Khan