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Rouzbeh Abbassi
Rouzbeh Abbassi
School of Engineering, Macquarie University
Verified email at mq.edu.au
Title
Cited by
Cited by
Year
Modelling of pitting corrosion in marine and offshore steel structures–A technical review
J Bhandari, F Khan, R Abbassi, V Garaniya, R Ojeda
Journal of Loss Prevention in the Process Industries 37, 39-62, 2015
3042015
Performance assessment of innovative constructed wetland-microbial fuel cell for electricity production and dye removal
AK Yadav, P Dash, A Mohanty, R Abbassi, BK Mishra
Ecological Engineering 47, 126-131, 2012
2982012
Removal of fluoride from aqueous solution and groundwater by wheat straw, sawdust and activated bagasse carbon of sugarcane
AK Yadav, R Abbassi, A Gupta, M Dadashzadeh
Ecological engineering 52, 211-218, 2013
2162013
Risk analysis of deepwater drilling operations using Bayesian network
J Bhandari, R Abbassi, V Garaniya, F Khan
Journal of Loss Prevention in the Process Industries 38, 11-23, 2015
1622015
The role of human error in risk analysis: Application to pre-and post-maintenance procedures of process facilities
A Noroozi, N Khakzad, F Khan, S MacKinnon, R Abbassi
Reliability Engineering & System Safety 119, 251-258, 2013
1292013
Marine transportation risk assessment using Bayesian Network: Application to Arctic waters
AA Baksh, R Abbassi, V Garaniya, F Khan
Ocean Engineering 159, 422-436, 2018
1182018
Corrosion induced failure analysis of subsea pipelines
Y Yang, F Khan, P Thodi, R Abbassi
Reliability Engineering & System Safety 159, 214-222, 2017
1162017
The removal of heavy metals in wetland microcosms: Effects of bed depth, plant species, and metal mobility
AK Yadav, R Abbassi, N Kumar, S Satya, TR Sreekrishnan, BK Mishra
Chemical Engineering Journal 211, 501-507, 2012
1112012
Review and analysis of fire and explosion accidents in maritime transportation
T Baalisampang, R Abbassi, V Garaniya, F Khan, M Dadashzadeh
Ocean Engineering 158, 350-366, 2018
872018
Improved DEMATEL methodology for effective safety management decision-making
M Yazdi, F Khan, R Abbassi, R Rusli
Safety science 127, 104705, 2020
862020
A hybrid model for human factor analysis in process accidents: FBN-HFACS
E Zarei, M Yazdi, R Abbassi, F Khan
Journal of loss prevention in the process industries 57, 142-155, 2019
822019
Human error probability assessment during maintenance activities of marine systems
R Islam, F Khan, R Abbassi, V Garaniya
Safety and health at work 9 (1), 42-52, 2018
792018
Vulnerability analysis of process plants subject to domino effects
N Khakzad, G Reniers, R Abbassi, F Khan
Reliability Engineering & System Safety 154, 127-136, 2016
772016
Dynamic risk analysis of offloading process in floating liquefied natural gas (FLNG) platform using Bayesian Network
CT Yeo, J Bhandari, R Abbassi, V Garaniya, S Chai, B Shomali
Journal of Loss Prevention in the Process Industries 41, 259-269, 2016
772016
An integrated method for human error probability assessment during the maintenance of offshore facilities
R Abbassi, F Khan, V Garaniya, S Chai, C Chin, KA Hossain
Process Safety and Environmental Protection 94, 172-179, 2015
752015
Explosion modeling and analysis of BP Deepwater Horizon accident
M Dadashzadeh, R Abbassi, F Khan, K Hawboldt
Safety science 57, 150-160, 2013
732013
Risk-based maintenance planning of subsea pipelines through fatigue crack growth monitoring
E Arzaghi, MM Abaei, R Abbassi, V Garaniya, C Chin, F Khan
Engineering Failure Analysis 79, 928-939, 2017
652017
A novel extension of DEMATEL approach for probabilistic safety analysis in process systems
M Yazdi, A Nedjati, E Zarei, R Abbassi
Safety science 121, 119-136, 2020
632020
Performance assessment of aeration and radial oxygen loss assisted cathode based integrated constructed wetland-microbial fuel cell systems
P Srivastava, S Dwivedi, N Kumar, R Abbassi, V Garaniya, AK Yadav
Bioresource technology 244, 1178-1182, 2017
622017
Development of a human reliability assessment technique for the maintenance procedures of marine and offshore operations
R Islam, R Abbassi, V Garaniya, F Khan
Journal of Loss Prevention in the Process Industries 50, 416-428, 2017
612017
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