What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Organic chemistry
Gürkan Sin focuses on Biochemical engineering, Environmental engineering, Uncertainty analysis, Identifiability and Process.
His biological study spans a wide range of topics, including Control, Industrial fermentation and Process design.
His research integrates issues of Denitrification, Calibration and Anaerobic ammonium oxidation in his study of Environmental engineering.
His work on Sensitivity analysis as part of general Uncertainty analysis study is frequently linked to Entropy of vaporization, bridging the gap between disciplines.
Gürkan Sin combines subjects such as Cellulose hydrolysis, Calibration, Estimation theory, Activated sludge model and Reliability with his study of Identifiability.
Gürkan Sin has researched Estimation theory in several fields, including Biomass, Range, Activated sludge and Process engineering.
His most cited work include:
- Good modeling practice for PAT applications: Propagation of input uncertainty and sensitivity analysis (153 citations)
- Group-contribution+ (GC+) based estimation of properties of pure components: Improved property estimation and uncertainty analysis (150 citations)
- Multienzyme-Catalyzed Processes: Next-Generation Biocatalysis (126 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Process engineering, Uncertainty analysis, Sensitivity, Environmental engineering and Process.
As a part of the same scientific family, he mostly works in the field of Process engineering, focusing on Sewage treatment and, on occasion, Effluent.
The various areas that he examines in his Uncertainty analysis study include Estimation theory and Monte Carlo method.
His Environmental engineering research includes themes of Aeration, Nitrification and Calibration.
His research on Process often connects related areas such as Biochemical engineering.
His work in Biochemical engineering addresses issues such as Process design, which are connected to fields such as Chemical process.
He most often published in these fields:
- Process engineering (20.83%)
- Uncertainty analysis (14.95%)
- Sensitivity (13.48%)
What were the highlights of his more recent work (between 2017-2021)?
- Monte Carlo method (10.54%)
- Sensitivity (13.48%)
- Sewage treatment (10.05%)
In recent papers he was focusing on the following fields of study:
Monte Carlo method, Sensitivity, Sewage treatment, Uncertainty analysis and Materials science are his primary areas of study.
His Monte Carlo method research is multidisciplinary, relying on both Data mining, Biological system, Process design, Propagation of uncertainty and Robustness.
Gürkan Sin has included themes like Process engineering, Applied mathematics and Polynomial chaos in his Sensitivity study.
His work on Activated sludge is typically connected to Belt filter as part of general Sewage treatment study, connecting several disciplines of science.
His Uncertainty analysis study incorporates themes from Equation of state, Process and Air conditioning.
His research in Scientific method intersects with topics in Production and Biochemical engineering.
Between 2017 and 2021, his most popular works were:
- Nitrite effect on the phosphorus uptake activity of phosphate accumulating organisms (PAOs) in pilot-scale SBR and MBR reactors (21 citations)
- Nitrite effect on the phosphorus uptake activity of phosphate accumulating organisms (PAOs) in pilot-scale SBR and MBR reactors (21 citations)
- Organic carbon recovery modeling for a rotating belt filter and its impact assessment on a plant-wide scale (19 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Organic chemistry
The scientist’s investigation covers issues in Monte Carlo method, Anoxic waters, Sensitivity, Sewage treatment and Activated sludge.
His Monte Carlo method study incorporates themes from Uncertainty analysis, Data mining, Process engineering, Propagation of uncertainty and Robustness.
His Uncertainty analysis research is multidisciplinary, incorporating perspectives in Reliability, Process analytical technology, SIMPLE algorithm and Identifiability.
The Anoxic waters study combines topics in areas such as Nitrogen, Polyphosphate-accumulating organisms, Inorganic chemistry, Nitrate and Sequencing batch reactor.
His Sewage treatment study combines topics in areas such as Wastewater and Biogas.
Activated sludge is the subject of his research, which falls under Environmental engineering.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
