Andrea Simonetto

Andrea Simonetto, PhD

Research Professor at UMA, ENSTA, Institut Polytechnique de Paris
828 Boulevard des Maréchaux, 91120 Palaiseau, France (room: 2.4.26)
E-mail: andrea.simonetto@ensta-paris.fr

Member of the OC team, CEDRIC lab, CNAM

[Google Scholar] [arXiv] [Hal] [Orcid]

I am a Research Professor (Enseignant Chercheur, avec HDR) within the applied mathematics department (UMA) at ENSTA Paris. I work at the intersection of optimization and learning for large-scale and streaming data, with a number of application domains as smart grids, intelligent transportation, personalized health, and quantum computing. I am also affiliated with the combinatorial optimization team (OC) in the CEDRIC lab at the CNAM.

Things I am working on currently

Online algorithms for time-varying optimization problems.
Personalized and flexible optimization for cyber-physical systems.
Quantum computing: variational algorithms for optimization problems.
Applications: intelligent transportation, personalized health, incentive design.

Things I have worked on

Convex and non-convex optimization: both from a theoretical perspective and algorithmic implementation. Recent works include prediction-correction algorithms to track the solution trajectory of time-varying convex programs. Older works include networked SDP convex relaxations of certain classes of non-convex programs.
Applications stemming from smart grids and shared mobility, especially optimal power flow and ridesharing.
Distributed optimization, especially in connection with robotic and wireless sensor networks.
Control theory in the context of distributed control design, model predictive control, embedded control systems.
Signal processing: distributed estimation, sparse reconstructions, compressive sensing, wireless sensor network localization, sensor selection, graph signal processing.
Parallel computing in the context of nonlinear estimation and specifically particle filtering.