TALK    [MERL Seminar Series 2026] Artur Schweidtmann presents talk titled Transforming Process Engineering with generative AI

Date & Time:

Wednesday, September 30, 2026; 11:00 AM

Abstract:

Generative Artificial Intelligence (GenAI) has achieved groundbreaking success in domains like computer vision and strategy games, often surpassing human performance. However, its adoption in the process industries remains limited despite immense potential. This presentation focuses on developing GenAI for process engineering. It begins by introducing an AI software tool for digitizing legacy flowsheets, including Process Flow Diagrams (PFDs) and Piping and Instrumentation Diagrams (P&IDs) (https://www.digitization-companion.com). Then, I will highlight innovative AI-driven solutions tailored to process engineering and operations, such as P&ID autocompletion, automated PFD-to-P&ID translation, P&ID error correction, and AI-assisted HAZOPs. The presentation concludes with real-world examples drawn from collaborative research projects with industry partners, showcasing the practical impact of these advancements.

Speaker:

Artur Schweidtmann
Delft University of Technology

Dr. Artur M. Schweidtmann is a tenured assistant professor for Process Systems Engineering at the Department of Chemical Engineering at Delft University of Technology, The Netherlands. His research focuses on Artificial Intelligence (AI) and its applications in chemical process engineering. His research group – the Process Intelligence Research group - develops algorithms and decision support tools for process development and engineering.
Dr. Schweidtmann received his Ph.D. in 2021 and a Master of Science in Chemical Engineering in 2017, both from RWTH Aachen in Germany. During his studies, he spent the academic year 2013/2014 at Carnegie Mellon University and performed his Master thesis at the University of Cambridge. He received W. David Smith Graduate Publication Award from AIChE (2024) and the Senior Moulton medal from IChemE (2024).

MERL Host:

Tanuj Karia

Research Areas:

Artificial Intelligence, Machine Learning