Ongoing projects
Taming Nonconvexity in Structured Low-Rank Optimization
From model-based to data-driven design: Signal processing and control of noisy nonlinear systems
Embedded learning and optimization for the next generation of smart industrial control systems
Interaction-aware learning risk-averse MPC: ensuring safe interaction between automated vehicles and (vulnerable) road users
Learning to optimize nonconvex problems: provably and efficiently
Optimization frameworks for deep kernel machines
Risk-averse Control and Dynamic Optimization Bridging the Gap Between Robust and Stochastic Control
Completed projects
A unifying algorithmic framework for structured optimization
SeLMA - Structured Low-Rank Matrix/Tensor Approximation: Numerical Optimization-Based Algorithms and Applications
Real-time Learning/Risk-Averse Model Predictive Control for Autonomous Vehicle Motion Control