Portrait of Velasco 

Ph.D. / HDR
Permanent Researcher (Chargé de recherche)
Centre for Mathematical Morphology
MINES ParisTech
PSL Research University

About me:

Born in Colombia, I am currently Fellow Researcher (Chargé de Recherche in the French system) at Mines Paris PSL Research University. Before coming to Mines Paris, I have worked as a postdoc researcher at ITWM, which is part of the Fraunhofer Institute in Germany, and at the Mathematical Department of the National University of Singapore (NUS). In my research, I am interested in understanding and designing methods to solve problems on images, 3D cloud points and graphs. I have a preference for the method based on interactions between nonlinear operators with high geometric interpretation and those based on deep learning.

Interested in working with me?

  • To apply to work with me as a PhD student, email me your CV (pdf), and a statement of research interests, indicating if you are interested (or not) in doing research in the framework of a CIFRE thesis.

HDR (Habilitation à diriger des recherches)

Institut Polytechnique de Paris (26-09-2022)
Contributions to Mathematical Morphology

Isabelle BLOCH, Professeur, Sorbonne Université, Paris
Pierre SOILLE, Project Leader, HDR, Joint Research Centre of the European Commission
Yann GOUSSEAU, Professeur, Télécom Paris
Nicolas PASSAT, Professeur, Université de Reims Champagne-Ardenne
Jean-Michel MOREL, Professeur, École Normale Supérieure
Stephane MALLAT, Professeur, Collège de France


Complete List of Publications

Ph.D. Students

Master Student

  • Mehran Mohammadi

PostDoctoral Researchers


  • (01-04-2018) Ulrike Kuchner from University of Vienna is now a postdoc researcher at CMM working on applications of Deep Learning for Astronomy.


  • velasco at cmm dot ensmp dot fr

  • Office telephone: (+33) 1 64 69 47 06

  • Office: B-205 (Directions)

Research interests

I am interested in collaborating with mathematicians, statisticians, scientists and engineers on diverse projects including:

  • Image Processing

  • Pattern recognition

  • Multivariate Statistics

  • Graph Signal Processing

  • Artificial Intelligence / Deep Learning


  • (2020-2021-2022) Deep Learning for Image Analysis (MINES/ Master IASD - LAMSADE)

  • (2018-2019)-2022 Deep Learning for Image Analysis (MINES / ATHENS )

  • (2018) Introduction of Big Data and Applications


  • (18-01-2023) Martin Bauw (Coadvisor J.Angulo )
    Thesis title: “One-class classification for low resolution targets discrimination with limited supervision in pulse Doppler radars”
    Jury: Marius Kloft, TU Kaiserslautern, Germany
    Jean-Philippe Ovarlez, ONERA, France
    Florence Tupin, Télécom Paris, LTCI, Institut Polytechnique de Paris, France
    Claude ADNET, Thales LAS, France

  • (13-12-2022) Mateus Sangalli (Coadvisor J.Angulo and S. Blusseau)
    Thesis title: “Equivariant Deep Learning Based on Scale-Spaces and Moving Frames: Applications to Image Processing”
    Jury: Petros Maragos - University of Athens, Greece
    Tony Lindeberg - KTH Royal Institute of Technology, Sweden
    Nina Miolane - UC Santa Barbara, USA
    Marcos Eduardo Valle - University of Campinas, Brasil


Professional service: