About
Pontus Giselsson is an Associate Professor at the Department of Automatic Control within the Faculty of Engineering, LTH at Lund University. His research focuses on optimization theory and its applications to control systems, machine learning, and robotics.
He teaches advanced courses including:
- Optimization for Learning (Master’s level, held annually)
- Large-Scale Convex Optimization (PhD level, last held 2015)
His research projects span:
- Scalable control of interconnected systems
- Nonlinear control theory
- Robot learning and control
- Cloud-native control systems
- Autonomous real-time systems
- Optimal transport and numerical optimization
His scientific work emphasizes:
- Operator splitting algorithms
- Convergence analysis
- Low-rank optimization
- Applications to machine learning and control systems
Pontus leads research initiatives in the RobotLab LTH and contributes to national projects such as WASP (Wallenberg AI, Autonomous Systems and Software Program) and ELLIIT (Excellence Center at Linköping–Lund in Information Technology).
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