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Online versions of my CV and my research statement.

About me

I am an Associate Professor (Maître de Conférences) at CentraleSupélec, Université Paris-Saclay. I work with the Laboratory of Signals and Systems (L2S).

My research focuses on the theoretical and algorithmic foundations of data science, structured signal processing, and inverse problems. I am investigating novel problematics at the intersection of information theory, statistics, harmonic analysis, and optimization. More specifically, I am working on continuous, off-the-grid, inverse problems under sparsity constraints with applications in sensing and imaging systems, telecommunications, and physical layer security. I am particularly interested in quantifying the resolution limits of such problems and in deriving efficient algorithms guaranteeing a stable reconstruction. Additionally, I design communication protocols over the physical layer with mathematically provable privacy guarantees by exploiting the relative hardness of multilinear inverse problems.

Before that, I was a Research Associate at the University of Southern California working with Prof. Urbashi Mitra, and at Carnegie Mellon University, in the research group of Prof. Yuejie Chi. I received my Ph.D. degree from Imperial College London in 2018 under the supervision of Dr. Wei Dai. I obtained the Diplôme d'Ingénieur from CentraleSupélec and the M.Sc. degree in Electrical Engineering from Imperial College in 2012.

Maxime Ferreira Da Costa

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Contact

Email: maxime.ferreira@centralesupelec.fr

Landline: +33 1 75 31 78 84

Office: Bréguet A5.10

CentraleSupélec | Université Paris-Saclay
Laboratory of Signals and Systems
3 rue Joliot-Curie
Gif-sur-Yvette, F-91192, FRANCE