Paula Chanfreut is an Assistant Professor in the Control Systems Technology section of the Department of Mechanical Engineering. Her research is framed within the field of model predictive control (MPC), with emphasis on its non-centralized implementations. She is particularly interested in designing control methods for large-scale interconnected systems, including renewable energy plants, traffic networks, and smart grids. In this context, she has explored the use of flexible cooperation mechanisms to improve performance and scalability in multi-agent systems based on MPC. Additionally, she is interested in studying data-driven predictive control methods.

Paula Chanfreut received her B.Sc. and M.Sc. in Industrial Engineering from the University of Seville (Spain) in 2017 and 2019, respectively. She pursued her Ph.D. in Automation Engineering at the same university from 2018 to 2022, working under the supervision of Prof. José M. Maestre and Eduardo F. Camacho. She was a visiting scholar at the University of California at Berkeley in 2021, and at Massachusetts Institute of Technology in 2022. Between 2022 and 2023, she worked for ERC Advanced Grant OCONTSOLAR (Optimal Control of Thermal Solar Energy Systems). In February 2023, she joined TU/e.