Tim Faruss joined the Process Intelligence Research group for his MSc thesis in April 2023. His research interests include machine learning and numerical optimization to improve the sustainability and performance of chemical processes. He specialized in chemical engineering during his BSc studies and in process systems engineering, including process modeling, machine learning, and thermodynamics, during his MSc studies.
Interests
- Process Modeling
- Numerical Optimization
- Machine learning
- Energy Efficiency
- Process Development
Education
MSc in Chemical Engineering, 2023
RWTH Aachen University
BSc in Environmental Engineering, 2019
RWTH Aachen University