Group
Control, Optimization and Learning Lab
for collaborative decision making
COLLAB is a research group in the Department of Engineering Cybernetics at NTNU, Trondheim. We work at the intersection of optimization, control and machine learning, developing methods that allow systems, and the many agents within them, to make good decisions together: safely, efficiently and in real time.
PhD Students
Master's Thesis Students
- Truls Korsmo Sæther ()
- Abdirahman Ahmed Yusuf ()
- Endre Kvitnes ()
- Rikke Torvanger (2026)
- Anders Tørresen (2026)
- Tom Minten (2025)
- Ceasar Kok (2024)
- Tom Vreugdenhil (2024)
- Jochem Baltussen (2023)
What we work on
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Our work combines rigorous theory with real applications, from process and energy systems to other large-scale engineered systems, where decisions must be coordinated across many interacting parts.
Learning-based control
Model predictive control with learned models and certified learning-based approximations of MPC, so that data-driven controllers come with guarantees.
Distributed optimization
Algorithms that let many agents, units or subsystems reach good collective decisions while sharing only limited information.
Safe Bayesian optimization
Sample-efficient, constraint-aware learning for systems where every experiment is expensive and unsafe actions are not an option.
Feedback-optimizing control
Driving large-scale interconnected systems to their economic optimum in real time, directly from measurements.
Join us
We are always interested in hearing from motivated students and researchers. Open PhD and postdoc positions are announced on Jobbnorge. NTNU master's students interested in a project or thesis are welcome to get in touch by email.