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Profil
Nøgleord
Optimization under uncertainty
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Machine learning/AI
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Global Sensitivity Analysis
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Process Modeling and Simulation
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Process Design and control
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Life science industries: water, biotechnology and biopharmaceuticals
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Monte Carlo Simulations
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Process Systems Engineering
The primary scope of the research is process innovation and
design in chemical and processing industries. Process design is by
nature interdisciplinary and requires use and synthesis of wider
spectrum of chemical engineering knowledge (material/energy
balances, separations, reaction kinetics, reactor design, etc)
and data sources (laboratory/pilot or full scale), process
synthesis and process simulators (modeling, simulation, databases,
information technology), applied mathematics (process and
property models, simulation, optimization,) and applied
statistics (uncertainty and sensitivity analysis, parameter
estimation, quantitaitve risk analysis), environmental
and process safety analysis.
The generic process design tools are then developed and applied
to various industrial applications to identify novel and
cost-competitive process solutions to wastewater treatment,
biorefinery, biotechnology and pharmaceuticals industries
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