Scholar
Artur M. Schweidtmann
Google Scholar ID: g-GwouoAAAAJ
Delft University of Technology, Department of Chemical Engineering, Process Intelligence Research
Citations & Impact
Citations
3,661
H-index
33
i10-index
57
Publications
20
Co-authors
135
list available
Publications
Resume (English only)
Academic Achievements
- Published articles on the application of AI in process systems engineering; Developed a digital tool named DigiCo - Digitization Companion.
Research Experience
- Research projects focus on using machine learning, computer vision, natural language processing, etc., to advance the field of Chemical Engineering.
Background
- Research interests include integrating Artificial Intelligence with Chemical Engineering, particularly in Process Systems Engineering to enhance model accuracy, efficiency, and predictive capabilities.
Miscellany
- Team members are enthusiastic about AI technology and believe it is crucial for achieving national and international climate goals.
