Glenn Ceusters

Glenn obtained his Bachelor degree in Energy Technology from the Thomas More University College in 2012. While working full-time as an engineer, turning knowledge into experience, he then later obtained his Master of Science degree in Energy Engineering Technology from the University of Leuven in 2018. His work focused on the optimal control of multi-energy systems through model-predictive control and reinforcement learning, which laid the foundation for joining EVERGI and the AI Lab as a PhD candidate in 2020. Here, Glenn's research focusses on safe reinforcement learning by combining AI with basic domain knowledge so that stability can be guaranteed during online learning.