Maxime Ferreira Da Costa
Associate Professor · CentraleSupélec, Université Paris-Saclay
Open research positions:
I have multiple ANR-funded Ph.D, PostDoc, and Master's internship opportunities in my research group to work on the mathematical foundations of data science, and physical layer security. If you wish to apply, please take a look at some of the group's recent publications and send me an email describing your interests along with your CV.
About me
I am an Associate Professor (Maître de Conférences) at CentraleSupélec, Université Paris-Saclay, and a member of the Laboratory of Signals and Systems (L2S). My research develops the mathematical and algorithmic foundations of data science, drawing on statistics, harmonic analysis, and structured signal processing.
Much of my current work concerns continuous, off-the-grid inverse problems and system calibration: recovering signals and physical parameters that do not lie on a predefined grid, using algorithms with provable guarantees. These questions arise in sensing and imaging systems, telecommunications, and physical layer security.
Before joining CentraleSupélec, 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. In 2018, I was a finalist for the IEEE Jack Keil Wolf Best Paper Award.
I hold an ANR Young Researcher grant from the French National Research Agency and serve as an Associate Editor for the IEEE Signal Processing Letters.
News
- Paper accepted in the IEEE Transactions on Communications with Trong Duy Tran on goal-oriented resource allocation for collaborative integrated sensing and communication.
- New preprint with Trong Duy Tran on clutter-aware robust beamforming for MIMO-OFDM ISAC.
- New preprint with Joseph Gabet and Kiryung Lee on optimal sampling density design for homotopic off-the-grid deconvolution.
- New patent application on calibration-free laser-induced breakdown spectroscopy.
- New preprint with Joseph Gabet on preconditioned gradient descent for spike deconvolution and sketched mixture learning.
- New preprint with Meghna Kalra and Kiryung Lee characterizing the basin of convexity of multi-snapshot spike deconvolution.
- Paper accepted at EUSIPCO 2026 on the global convergence of ESPRIT with preconditioned first-order methods.
- I started a term as an Associate Editor for the IEEE Signal Processing Letters.
- Three papers accepted at ICASSP 2026: with Joseph Gabet and Kiryung Lee on restricted isometry for variable-density continuous frequency sampling, with Lei Lyu and Urbashi Mitra on Cramér–Rao bounds on sparse-diffuse channel estimation, and with Santos Michelena and José Picheral on the strong basin of attraction of the variable projection method for unmixing kernels.
Contact
- maxime.ferreira@centralesupelec.fr
- Landline
- +33 1 75 31 78 84
- Office
- Breguet building, room C3.17
- Address
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CentraleSupélec, Université Paris-Saclay
Laboratoire des Signaux et Systèmes
3 rue Joliot-Curie
91190 Gif-sur-Yvette, France - Profiles
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