Andrea Simonetto

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Andrea Simonetto, PhD

Research Professor at UMA, ENSTA Paris, Institut Polytechnique de Paris
828 Boulevard des Maréchaux, 91120 Palaiseau, France (room: 2.4.26)

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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.

Things I am working on currently

  • Online algorithms for time-varying optimization problems (prediction-correction, correction-only, feedback-based).

  • Personalized optimization with kernels.

  • Online algorithms for dynamic ridesharing and shared mobility.

  • Optimization algorithms on quantum computers.

  • Applications: smart grids, intelligent transportation, personalized health, quantum computing.

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.

  • 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.