What is he best known for?
The fields of study he is best known for:
- Mechanical engineering
- Reliability engineering
- Chemical engineering
Rouzbeh Abbassi spends much of his time researching Bayesian network, Reliability engineering, Operations research, Risk analysis and Wastewater.
As part of the same scientific family, he usually focuses on Bayesian network, concentrating on Probabilistic logic and intersecting with Predictive maintenance.
His biological study spans a wide range of topics, including Pipeline transport, Data mining, Subsea, Risk analysis and Process.
His research in Subsea intersects with topics in Pipeline, Corrosion and Condition monitoring.
His Risk analysis research is multidisciplinary, incorporating elements of Floating liquefied natural gas, Pipeline and Robustness.
Rouzbeh Abbassi combines subjects such as Microcosm and Sewage treatment with his study of Wastewater.
His most cited work include:
- Performance assessment of innovative constructed wetland-microbial fuel cell for electricity production and dye removal (177 citations)
- Modelling of pitting corrosion in marine and offshore steel structures – A technical review (141 citations)
- Removal of fluoride from aqueous solution and groundwater by wheat straw, sawdust and activated bagasse carbon of sugarcane (127 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Reliability engineering, Bayesian network, Risk analysis, Submarine pipeline and Process.
The Reliability engineering study combines topics in areas such as Pipeline transport, Bayesian inference, Subsea and Condition monitoring.
He works mostly in the field of Subsea, limiting it down to concerns involving Corrosion and, occasionally, Pipeline.
His Bayesian network research incorporates themes from Failure probability, Predictive maintenance and Operations research.
His Risk analysis research is multidisciplinary, relying on both Human reliability, Fault tree analysis and Risk analysis.
His Submarine pipeline research integrates issues from Marine engineering and Hazardous waste.
He most often published in these fields:
- Reliability engineering (23.31%)
- Bayesian network (25.77%)
- Risk analysis (22.09%)
What were the highlights of his more recent work (between 2019-2021)?
- Risk analysis (22.09%)
- Bayesian network (25.77%)
- Microbial fuel cell (6.75%)
In recent papers he was focusing on the following fields of study:
Rouzbeh Abbassi mainly investigates Risk analysis, Bayesian network, Microbial fuel cell, Reliability engineering and Process.
His Risk analysis study incorporates themes from Pipeline transport, Human reliability and Pipeline.
His work carried out in the field of Bayesian network brings together such families of science as Limit state design and Applied mathematics.
The study incorporates disciplines such as Bayesian probability and Bayesian inference in addition to Reliability engineering.
His studies in Process integrate themes in fields like Control room and Failure mode and effects analysis.
His work in Sewage treatment tackles topics such as Wastewater which are related to areas like Process engineering.
Between 2019 and 2021, his most popular works were:
- Electrode dependent anaerobic ammonium oxidation in microbial fuel cell integrated hybrid constructed wetlands: A new process (26 citations)
- A novel extension of DEMATEL approach for probabilistic safety analysis in process systems (24 citations)
- Performance of pilot-scale horizontal subsurface flow constructed wetland coupled with a microbial fuel cell for treating wastewater (22 citations)
In his most recent research, the most cited papers focused on:
- Mechanical engineering
- Civil engineering
- Artificial intelligence
Rouzbeh Abbassi focuses on Risk analysis, Risk analysis, Microbial fuel cell, Electron transfer and Subject-matter expert.
His biological study spans a wide range of topics, including Fuzzy dematel, Robustness and Probabilistic risk assessment.
His Risk analysis research includes elements of Multiple-criteria decision analysis, Failure mode and effects analysis and Process.
A majority of his Microbial fuel cell research is a blend of other scientific areas, such as Sewage treatment and Environmental engineering.
His work on Constructed wetland, Hydraulic retention time and Chemical oxygen demand as part of general Sewage treatment research is often related to Subsurface flow, thus linking different fields of science.
His Bayesian network research extends to Subject-matter expert, which is thematically connected.
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