Today's optimisation problems are too complex to be solved without AI.

Laurens Bliek is an Assistant Professor in the Information Systems group at the Department of Industrial Engineering & Innovation Sciences at Eindhoven University of Technology (TU/e). His main research interest is in the combination of AI and optimisation, especially in optimising expensive cost functions using machine learning. Expensive cost functions often appear in optimisation problems that depend on computationally intensive simulators, human decisions, or other algorithms.
Laurens is interested in applying this research to all kinds of applications ranging from logistics to communications to healthcare, but mostly in sustainable applications such as public transport, electric vehicles or CO2 reduction. His research is published in journals such as IEEE Transactions on Neural Networks and Learning Systems and Annals of Mathematics and Artificial Intelligence.

Laurens Bliek obtained his MSc in Applied Mathematics in 2014, and his PhD in Systems & Control in 2019, both from Delft University of Technology. His PhD topic was on developing a learning-based automatic tuning algorithm for antenna control. Before joining TU/e in 2021, he worked as a postdoctoral researcher at the Algorithmics group of Delft University of Technology.

Laurens has collaborated with several industrial partners such as LioniX and NS. He is a PC member of IJCAI, a major AI conference, and serves as a reviewer for several AI journals and conferences.