A.M. (Artur) Schweidtmann
A.M. (Artur) Schweidtmann
Profile
KDAI Knowledge-Driven AI Lab
Artur M. Schweidtmann and Qian Tao are leading the KDAI Knowledge-Driven AI Lab.
https://www.tudelft.nl/ai/kdai
Expertise
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Process Systems Engineering (PSE)
- Gobal Optimization
- Mathematical Programming
- Modeling
- Process Design
Biography
Artur M. Schweidtmann is starting as an tenure-track assistant professor at the department of chemical engineering in April 2021. He conducted his PhD in the Process Systems Engineering group of Prof. Mitsos at RWTH Aachen University. In 2016, he completed his M.Sc. in Chemical Engineering at RWTH Aachen University. During his studies, he spent one year abroad at Carnegie Mellon University and six months at the University of Cambridge in the group of Prof. Lapkin.
Expertise
Publications
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2024
A review and perspective on hybrid modeling methodologies
Artur M. Schweidtmann / Dongda Zhang / Moritz von Stosch
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2024
Data-driven product-process optimization of N-isopropylacrylamide microgel flow-synthesis
Luise F. Kaven / Artur M. Schweidtmann / Jan Keil / Jana Israel / Nadja Wolter / Alexander Mitsos
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2024
Deep reinforcement learning for process design
Review and perspective
Qinghe Gao / Artur M. Schweidtmann -
2024
Empirical assessment of ChatGPT’s answering capabilities in natural science and engineering
Lukas Schulze Balhorn / Jana M. Weber / Stefan Buijsman / Julian R. Hildebrandt / Martina Ziefle / Artur M. Schweidtmann
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2024
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Courses 2024
Courses 2023
Ancillary activities
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2023-04-01 - 2025-04-01
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2024-05-20 - 2026-05-19
Education
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2024-05-20 - 2026-05-19
Education
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2024-05-20 - 2026-05-19
Consultancy / research and other
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2024-06-21 - 2026-06-21
Education