Biography
Professor Paul Goulart joined the University of Oxford in 2014 as an Associate Professor in Engineering Science and was made full Professor in September 2024. He received his SB and MSc degrees in Aeronautics and Astronautics from the Massachusetts Institute of Technology (MIT). Following his undergraduate studies he was a software developer in the flight operations centre for the Chandra X-Ray Observatory at the Harvard-Smithsonian Centre for Astrophysics, and later an engineer in the Autonomous Systems group at the Charles Stark Draper Laboratory.
In 2003, Paul was selected as a Gates Scholar at the University of Cambridge, where he received a PhD in Control Engineering in 2007. From 2007 to 2011 he was a Lecturer in control systems in the Department of Aeronautics at Imperial College London, and from 2011 to 2014 a Senior Researcher in the Automatic Control Laboratory at ETH Zurich. He is a member of the Control Group in the department of Engineering Science.
Most Recent Publications
Synthesis of safety certificates for discrete-time uncertain systems via convex optimization
Synthesis of safety certificates for discrete-time uncertain systems via convex optimization
A neural network-based approach to hybrid systems identification for control
A neural network-based approach to hybrid systems identification for control
Predictive Control Barrier Functions: Bridging model predictive control and control barrier functions
Predictive Control Barrier Functions: Bridging model predictive control and control barrier functions
An Efficient Implementation of Interior-Point Methods for a Class of Nonsymmetric Cones
An Efficient Implementation of Interior-Point Methods for a Class of Nonsymmetric Cones
CuClarabel: GPU Acceleration for a Conic Optimization Solver
CuClarabel: GPU Acceleration for a Conic Optimization Solver
Research Interests
Paul’s research interests are mainly in robust and high speed optimisation and control, with a wide range of application areas including fluid flows, economics and traffic networks.
Research Groups
Most Recent Publications
Synthesis of safety certificates for discrete-time uncertain systems via convex optimization
Synthesis of safety certificates for discrete-time uncertain systems via convex optimization
A neural network-based approach to hybrid systems identification for control
A neural network-based approach to hybrid systems identification for control
Predictive Control Barrier Functions: Bridging model predictive control and control barrier functions
Predictive Control Barrier Functions: Bridging model predictive control and control barrier functions
An Efficient Implementation of Interior-Point Methods for a Class of Nonsymmetric Cones
An Efficient Implementation of Interior-Point Methods for a Class of Nonsymmetric Cones
CuClarabel: GPU Acceleration for a Conic Optimization Solver
CuClarabel: GPU Acceleration for a Conic Optimization Solver
DPhil Opportunities
I am interested in supervising research students working in control engineering and optimisation.
Most Recent Publications
Synthesis of safety certificates for discrete-time uncertain systems via convex optimization
Synthesis of safety certificates for discrete-time uncertain systems via convex optimization
A neural network-based approach to hybrid systems identification for control
A neural network-based approach to hybrid systems identification for control
Predictive Control Barrier Functions: Bridging model predictive control and control barrier functions
Predictive Control Barrier Functions: Bridging model predictive control and control barrier functions
An Efficient Implementation of Interior-Point Methods for a Class of Nonsymmetric Cones
An Efficient Implementation of Interior-Point Methods for a Class of Nonsymmetric Cones
CuClarabel: GPU Acceleration for a Conic Optimization Solver
CuClarabel: GPU Acceleration for a Conic Optimization Solver
