What is he best known for?
The fields of study he is best known for:
- Organic chemistry
- Catalysis
- Carbon dioxide
His primary scientific interests are in Mass transfer, Computational fluid dynamics, Contactor, Chemical engineering and Finite element method.
His Mass transfer study incorporates themes from Environmental engineering, Extraction, Multiphysics, Analytical chemistry and Gas separation.
His research integrates issues of Laminar flow, Transport phenomena, Boundary layer, Chromatography and Computer simulation in his study of Computational fluid dynamics.
His Chemical engineering research includes themes of Activated carbon, Langmuir adsorption model, Adsorption and Excipient.
His work focuses on many connections between Finite element method and other disciplines, such as Pervaporation, that overlap with his field of interest in Chemical substance and Toluene.
In his work, Membrane technology is strongly intertwined with Aqueous solution, which is a subfield of Hollow fiber membrane.
His most cited work include:
- Activated lignin-chitosan extruded blends for efficient adsorption of methylene blue (324 citations)
- CFD simulation of natural gas sweetening in a gas–liquid hollow-fiber membrane contactor (138 citations)
- Simulation of ammonia removal from industrial wastewater streams by means of a hollow-fiber membrane contactor (114 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Chemical engineering, Computational fluid dynamics, Mass transfer, Adsorption and Adaptive neuro fuzzy inference system.
The various areas that Saeed Shirazian examines in his Chemical engineering study include Porosity, Membrane technology, Zeolite, Catalysis and Aqueous solution.
He has included themes like Nanofluid, Laminar flow, Turbulence, Computer simulation and Fluid dynamics in his Computational fluid dynamics study.
His Mass transfer research is multidisciplinary, relying on both Extraction, Volumetric flow rate, Finite element method and Analytical chemistry.
His Adsorption research is multidisciplinary, incorporating elements of Mesoporous silica, Mesoporous material, Nanocomposite and Nuclear chemistry.
His research investigates the connection between Adaptive neuro fuzzy inference system and topics such as Algorithm that intersect with problems in Fuzzy logic.
He most often published in these fields:
- Chemical engineering (39.79%)
- Computational fluid dynamics (28.72%)
- Mass transfer (24.22%)
What were the highlights of his more recent work (between 2019-2021)?
- Chemical engineering (39.79%)
- Computational fluid dynamics (28.72%)
- Adaptive neuro fuzzy inference system (17.99%)
In recent papers he was focusing on the following fields of study:
Saeed Shirazian focuses on Chemical engineering, Computational fluid dynamics, Adaptive neuro fuzzy inference system, Adsorption and Solubility.
His work deals with themes such as Mass transfer, Porosity, Membrane technology, Volumetric flow rate and Catalysis, which intersect with Chemical engineering.
Saeed Shirazian carries out multidisciplinary research, doing studies in Mass transfer and Contactor.
In his research, Data set is intimately related to Algorithm, which falls under the overarching field of Computational fluid dynamics.
His work carried out in the field of Adaptive neuro fuzzy inference system brings together such families of science as Artificial neural network, Bubble column reactor, Membership function and Cluster analysis.
His studies in Adsorption integrate themes in fields like Mesoporous silica, Mesoporous material, Nanocomposite and Nuclear chemistry.
Between 2019 and 2021, his most popular works were:
- Hierarchical multi-shell hollow micro-meso-macroporous silica for Cr(VI) adsorption. (33 citations)
- Synthesis and characterization of novel N-methylimidazolium-functionalized KCC-1: A highly efficient anion exchanger of hexavalent chromium. (30 citations)
- Effect of graphene oxide on modifying polyethersulfone membrane performance and its application in wastewater treatment. (23 citations)
In his most recent research, the most cited papers focused on:
- Organic chemistry
- Catalysis
- Carbon dioxide
Saeed Shirazian mainly investigates Chemical engineering, Adsorption, Adaptive neuro fuzzy inference system, Computational fluid dynamics and Solubility.
His research in Chemical engineering intersects with topics in Mass transfer, Water treatment and Aqueous solution.
Saeed Shirazian performs multidisciplinary study on Mass transfer and Contactor in his works.
The Adsorption study combines topics in areas such as Catalysis, Mesoporous material, Surface modification and Nuclear chemistry.
His Adaptive neuro fuzzy inference system study combines topics in areas such as Bubble column reactor, Membership function, Turbulence, Sigmoid function and Algorithm.
His Computational fluid dynamics research incorporates themes from Flow velocity, Artificial neural network, Cluster analysis, Fluid dynamics and Lattice Boltzmann methods.
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