I am a Postdoctoral Researcher at ETH Zürich. I work at the Automatic Control Laboratory with Prof. John Lygeros. My research interests include dynamical systems, optimal control, Markov decision processes, mathematical programming, and numerical algorithms for high-speed and large-scale optimization.
May 2020: Our paper GPU acceleration of ADMM for large-scale quadratic programming has been accepted for publication in the Journal of Parallel and Distributed Computing.
April 2020: Our new paper On the asymptotic behavior of the Douglas-Rachford and proximal-point algorithms for convex optimization is now available.
February 2020: Our paper Real-time solution to quadratically constrained quadratic programs for predictive converter control has been accepted for presentation at IFAC World Congress.
February 2020: Our paper OSQP: an operator splitting solver for quadratic programs has been accepted for publication in Mathematical Programming Computation.
December 2019: I have presented our paper A data-driven policy iteration scheme based on linear programming at the CDC 2019.
November 2019: I will be teaching a course on Large-Scale Convex Optimization in Spring 2020.
October 2019: Our paper Stochastic convex optimization for provably efficient apprenticeship learning has been accepted for presentation at NeurIPS 2019 Optimization Foundations for Reinforcement Learning Workshop.
July 2019: Our paper Infeasibility detection in the alternating direction method of multipliers for convex optimization has been accepted for publication in the Journal of Optimization Theory and Applications (JOTA).
July 2019: I have presented our paper Decentralized resource allocation via dual consensus ADMM at the ACC 2019.