Artur Schweidtmann

Artur M. Schweidtmann is a tenured Assistant Professor in Chemical Engineering at Delft University of Technology, where he has led the Process Intelligence Research group (PI Research) since April 2021. His research aims to advance chemical engineering through artificial intelligence (AI), machine learning, and process systems engineering. The group develops algorithms for optimization, hybrid modeling, digital twins, and knowledge-based systems, with applications in chemical process design, engineering, and operation. It combines generative AI, computer vision, and natural language processing with core chemical engineering principles.

Artur initiates and leads industry-funded research projects, and research results of the group are being transferred into practice through the Digitization Companion (DigiCo), a platform for Smart P&IDs. Together with Qian Tao, he is co-director of the Chemical Engineering & Medical Imaging AI Lab (CHEME AI Lab), established through the TU Delft AI Initiative. He teaches graduate courses including Numerical Methods and Machine Learning in Chemical Engineering, and supervises MSc theses.

Roles

• Subject Editor, Chemical Engineering Research & Design (ChERD), for process systems engineering
• Vice Chair of the Scientific Advisory Board, DEXPI Initiative (since 2025)
• Member of the Scientific Advisory Board, Aixelo Inc. (since 2024)
• Visiting Professor, Leibniz Universität Hannover (February–April 2023), with the Open Research Knowledge Graph (ORKG) team of Prof. Sören Auer, working on semantic web technologies and FAIR research data

Honors

• NWO Veni grant (2023) for research on reinforcement learning for chemical process design
• IChemE Senior Moulton Medal (2024), with Maximilian Theisen, Lukas Schulze Balhorn, and Kenji Flores, for the paper on digitization of process flow diagrams
• AIChE W. David Smith, Jr. Graduate Publication Award (2024)
• Faculty Open Science Award, TU Delft Faculty of Applied Sciences, received by the group's pyDEXPI team (Achmad Alimin, Lukas Schulze Balhorn, and Dominik Goldstein)

Career

Artur received his BSc in mechanical engineering (2015) and his MSc in chemical engineering (2017) from RWTH Aachen University. During his studies, he spent the academic year 2013/2014 at Carnegie Mellon University as a visiting student via the DAAD ISAP program, and he carried out his Master's thesis at the University of Cambridge. From 2017 to 2021, he completed his PhD at RWTH Aachen University on "Global optimization of processes through machine learning", advised by Prof. Alexander Mitsos (Process Systems Engineering, AVT.SVT).