What is he best known for?
The fields of study he is best known for:
- Statistics
- Organic chemistry
- Enzyme
Krist V. Gernaey focuses on Biochemical engineering, Process, Environmental engineering, Process engineering and Benchmark.
His biological study spans a wide range of topics, including Bioprocess, Biotechnology, Industrial fermentation, Reliability and Calibration.
His studies deal with areas such as Control, Systems engineering and Product as well as Process.
His Environmental engineering research integrates issues from Sensitivity analysis and Nitrification.
Krist V. Gernaey interconnects Calibration, Base and Engineering drawing in the investigation of issues within Process engineering.
His research in Benchmark intersects with topics in Waste management, Benchmarking, Simulation and State variable.
His most cited work include:
- Activated sludge wastewater treatment plant modelling and simulation: state of the art (357 citations)
- Assessment of Recent Process Analytical Technology (PAT) Trends: A Multiauthor Review (189 citations)
- Benchmark simulation model no 2: general protocol and exploratory case studies (178 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Process engineering, Environmental engineering, Process, Biochemical engineering and Sewage treatment.
His Process engineering research is multidisciplinary, incorporating elements of Scientific method, Production and Granulation.
He works on Environmental engineering which deals in particular with Effluent.
Krist V. Gernaey has researched Process in several fields, including Control and Benchmark.
Particularly relevant to Activated sludge is his body of work in Sewage treatment.
His research combines Environmental chemistry and Activated sludge.
He most often published in these fields:
- Process engineering (22.21%)
- Environmental engineering (14.34%)
- Process (12.55%)
What were the highlights of his more recent work (between 2018-2021)?
- Process (12.55%)
- Biochemical engineering (11.86%)
- Process engineering (22.21%)
In recent papers he was focusing on the following fields of study:
Krist V. Gernaey mostly deals with Process, Biochemical engineering, Process engineering, Pulp and paper industry and Fermentation.
In his study, Biomass is inextricably linked to Process control, which falls within the broad field of Process.
Krist V. Gernaey regularly ties together related areas like Process design in his Biochemical engineering studies.
The study incorporates disciplines such as Scientific method and Work in addition to Process engineering.
In his research, Effluent is intimately related to Activated sludge, which falls under the overarching field of Pulp and paper industry.
His Fermentation research includes elements of Biorefinery, State, Yeast, Biosensor and Partial least squares regression.
Between 2018 and 2021, his most popular works were:
- An exploration of barriers for commercializing phosphorus recovery technologies (36 citations)
- Plant-wide model-based analysis of iron dosage strategies for chemical phosphorus removal in wastewater treatment systems (25 citations)
- Meta-modeling based efficient global sensitivity analysis for wastewater treatment plants – An application to the BSM2 model (16 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Organic chemistry
- Enzyme
Krist V. Gernaey spends much of his time researching Biochemical engineering, Computational fluid dynamics, Process, Monte Carlo method and Production.
His multidisciplinary approach integrates Biochemical engineering and Nanometrology in his work.
The various areas that Krist V. Gernaey examines in his Computational fluid dynamics study include Biomass, Bioreactor, Fluid dynamics, Mathematical model and Finite volume method.
His Process research is multidisciplinary, incorporating perspectives in Operational efficiency, Isolation, Control, Interdependence and Nonlinear system.
His research integrates issues of Stochastic process, Reliability engineering, Simulation-based optimization, Energy recovery and Robustness in his study of Monte Carlo method.
His study in Production is interdisciplinary in nature, drawing from both Automation, Biomanufacturing and Harmony.
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.
