Luca Furieri
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Associate Professor of Engineering Science Email: luca.furieri@eng.ox.ac.uk |
Prospective students, postdoctoral researchers, and visitors: I welcome enquiries from prospective DPhil students interested in starting in October 2027, postdoctoral researchers seeking fellowship support, and Master's or doctoral students proposing a research visit. Please read the current opportunities and application guidance before writing.
Brief Biography
I am an Associate Professor of Engineering Science at the University of Oxford and Tutorial Fellow at St Hugh's College.
My group develops architectures and coordinates for reliable control, learning, and optimization. We study how dynamical systems and algorithms can learn from data and adapt over time while retaining rigorous guarantees. We look for mathematical descriptions that make stability, robustness, convergence, and scalability easier to establish. Our current research interests include:
Coordinates for reliable and adaptive control: nonlinear Youla and system-level parametrizations, stabilizing neural policies, reinforcement learning with closed-loop guarantees.
Distributed control and networked systems: information constraints, graph neural network policies, multi-agent coordination.
System theory for learning and optimization: learning to optimize with convergence guarantees, characterizations of convergent algorithms.
See the research page for details, figures, and selected publications.
Updates
09/2026: Honoured to receive a Bronze Teaching Award from the University of Oxford, Department of Engineering Science.
08/2026: Delighted to receive a research grant from Amazon Robotics for our project on learning-enhanced control of large-scale multi-robot systems with closed-loop guarantees.
07/2026: Our invited session on System Level Synthesis and the tutorial paper Learning, Adapting, and Certifying Control Policies in System-Level Coordinates were accepted for the 66th IEEE Conference on Decision and Control. The tutorial paper and session website will be added soon.
07/2026: Technical presentation at ECC 2026, in the workshop Control Theory: Yesterday's News or Tomorrow's Foundation?
06/2026: Invited talk at the SIAM Conference on Optimization: Learning to Optimize: Guarantees from Convex to Non-Convex Landscapes.
04/2026: Three papers accepted at the IFAC World Congress 2026.