Maximilian Theisen

Project

As a Ph.D. student at TU Delft in Process Systems Engineering, I am part of a team that is developing novel, AI based, methods to develop and optimize processes using production data. Today, smart process plants are also data factories due to the huge amounts of sensors, but the collected data often remains unused. Meanwhile, reaching climate goals for the process industries is challenging, as chemistry plays a major role in every aspect of our life, let it be fertilizer on farms, colours for our clothes or even baby formula.

In my Ph.D. work, I concentrate on combining AI and process knowledge. I focus on powder-related production processes, a very energy intensive industry. The research insights from this specific application area are generalizable to other parts of the process industries as well.

About me

I obtained my bachelor's degree in Mechanical Engineering from RWTH Aachen University. I spent one year of my bachelors as a visiting students at the University of California, Davis. For my master’s, I studied Chemical Engineering at TU Delft. Through previous internships, I have gained first experiences in the chemical and food industries.

Student projects

Students who are interested in Artificial Intelligence (AI), Machine Learning and process operations are more than welcome to contact me about opportunities for a thesis project!

Maximilian Theisen

PhD candidate