Hi! I'm Mario

I work in the field of signal processing and my main interests lay in numerical linear algebra, array processing, detection theory, submodular optimization, kernel methods, graph signal processing and large-scale networks.

Before starting my PhD, I spent a great year in Denmark doing room geometry estimation with Richard Heusdens and Martin Bo Møller at Bang & Olufsen. As intern, I worked on Information Geometry with Radmila Pribic at Thales . Not long ago, I was an undergraduate at University of Guadalajara, Mexico.

If you are interested, here is my old website.

Updates

  • [02/2019] Our work "State-Space Based Network Topology Identification" will appear at ITA 2019.
  • [01/2019] We are organizing the WIC Symposium "Compressing Sensing: Hype or Hope?" in Eindhoven, NL!
  • [12/2018] Our paper "Sampling and Reconstruction of Signals on Product Graphs" will be presented in GlobalSIP 2018.
  • [10/2018] Our paper "On the Limits of Finite-time Distributed Consensus through Successive Local Linear Operations" will be presented in ASILOMAR 2018.
  • [07/2018] Research Visit: Discrete Optimization Unit at AIP RIKEN (Tokyo)

Preprints / Tech Reports

  • J8. Asynchronous and Secure Distributed Graph Filtering
    Mario Coutino, et al.; In preparation, [Preprint]
  • J7. On the Approximation of Linear Operators by a Cascade of Generalized Graph Filters
    Mario Coutino, et al.; In preparation, [Preprint]
  • J6. State-Space Based Network Topology Identification
    Mario Coutino, et al.; In preparation, [Preprint]
  • J5. Fast Graph Spectral Approximation of Structured Graphs and Applications
    Mario Coutino, et al.; In preparation, [Preprint]
  • Identification of Room Boundaries for Sound Field Estimation
    Mario Coutino; Ms. Thesis, [Paper] [ppt]

Journals

  1. J4. Sparse Sampling for Inverse Problems with Tensors
    Guillermo Ortiz-Jiménez,, Mario Coutino, et al.; IEEE Trans. on Signal Processing (Accepted), May 2019, [Preprint]
  2. J3. Advances in Distributed Graph Filters
    Mario Coutino, Elvin Isufi, Geert Leus; IEEE Trans. on Signal Processing, (Accepted), May 2019, [Preprint]
  3. J2. Sparse Antenna and Pulse Placement for Colocated MIMO Radar
    Ehsan Tohidi, Mario Coutino, et al.; IEEE Trans. on Signal Processing, November 2018, [Paper]
  4. J1. Submodular Sparse Sensing for Gaussian Detection With Correlated Observations
    Mario Coutino S.P. Chepuri, Geert Leus; IEEE Trans. on Sig. Proc. August 2018, [Preprint] [Paper]

Conferences

  1. c17. On distributed consensus by a cascade of generalized graph filters (Invited paper)
    Mario Coutino, Geert Leus; Asilomar 2019, [Paper]
  2. c16. Asynchronous distributed edge-variant graph filters
    Mario Coutino, Geert Leus; DSW 2019, [Extended Paper]
  3. c15. State-Space Based Network Topology Identification
    Mario Coutino, Elvin Isufi, Takanori Maehara, Geert Leus; ITA 2019, [Paper]
  4. c14. Sampling and Reconstruction of Signals on Product Graphs
    Guillermo Ortiz-Jimenez, Mario Coutino, et al.; GlobalSIP 2018, [Paper]
  5. c13. On The Limits of Finite Time Distributed Consensus Through Graph Filters (Invited paper)
    Mario Coutino, Elvin Isufi, Geert Leus; Asilomar 2018, [Paper]
  6. c12. Joint Ranging and Clock Synchronization for a Dense Heterogeneous IoT Networks
    Tarik Kazaz, Mario Coutino, et al.; Asilomar 2018, [Paper]
  7. c11. Sparsest Network Support Estimation: A Submodular Approach
    Mario Coutino, S.P. Chepuri, Geert Leus; DSW 2018, [Paper][Code]
  8. c10. Subset Selection for Kernel-based Signal Reconstruction
    Mario Coutino, S.P. Chepuri, Geert Leus; ICASSP 2018, [Paper][Code][ppt]
  9. c9. Distributed Analytical Graph Identification
    S.P. Chepuri, Mario Coutino, Antonio Garcia Marques, Geert Leus; ICASSP 2018, [Paper][Code]
  10. c8. Distributed Edge-Variant Graph Filters (Best Paper Award)
    Mario Coutino, Elvin Isufi, Geert Leus; CAMSAP 2017, [Paper][ppt]
  11. c7. Sparse Sensing for Composite Matched Subspace Detection
    Mario Coutino, S.P. Chepuri, Geert Leus; CAMSAP 2017, [Paper][ppt]
  12. c6. DOA Estimation and Beamforming Using Spatially Under-Sampled AVS Arrays
    Krishnaprasad Nambur, Mario Coutino, S.P. Chepuri, Geert Leus; CAMSAP 2017, [Paper][Poster]
  13. c5. Near-Optimal Sensor Selection for MVDR Beamformer
    Mario Coutino, S.P. Chepuri, Geert Leus; EUSIPCO 2017, [Paper][ppt]
  14. c4. Greedy alternative for room geometry estimation from acoustic echoes: A subspace-based approach
    Mario Coutino, Martin Møller, Jasper Nielsen, Richard Heusdens; ICASSP 2017, [Paper] [poster]
  15. c3. Direction of arrival estimation based on information geometry
    Mario Coutino, Radmila Pribić, Geert Leus; ICASSP 2016, [Paper] [ppt]
  16. c2. Bound on the estimation grid size for sparse reconstruction in direction of arrival estimation
    Mario Coutino, Radmila Pribić, Geert Leus; SSP 2016, [Paper]
  17. c1. Stochastic resolution analysis of co-prime arrays in radar
    Radmila Pribić, Mario Coutino, Geert Leus; SSP 2016, [Paper]

Writing

On my free time, I enjoy writing. I'm not particularly good, but I keep on doing it. I maintain a site, but most of the content is not public -so it might look outdated. I write mostly snippets, hope you find them interesting.

"Every new love
comes as gift
wrapped in promises
we wish we can keep"
@fftmod
[windLair]

Contact Me

m dot a dot coutinominguez at tudelft dot nl