Directory of Experts
Back to search results
Thomas Hurtut
B.Ing. (CentraleSupélec), M.Ing. (Poly), Ph.D. (Télécom ParisTech/Poly), Postdoc (Inria)

Phone: (514) 340-4711 Ext. 7109 Fax: (514) 340-5139 Room: M-3113

Research interests and affiliations

Research interests
  • Data visualization
  • Information visualization
  • 2D computer graphics
  • Generative and descriptive modeling of images
  • Authoring tools for the stylization of image content
  • Expressive/Non-photorealistic rendering
Expertise type(s) (NSERC subjects)
  • 2603 Computer vision
  • 2707 Graphics


Recent publications
Journal article
Yaali, J., Gregoire, V. & Hurtut, T. (2022). HFTViz: Visualization for the exploration of high frequency trading data. Information Visualization, 21(2), 182-193. Retrieved from
Journal article
Girard, F., Hurtut, T., Kavalec, C. & Cheriet, F. (2021). Atlas-based score for automatic glaucoma risk stratification. Computerized Medical Imaging and Graphics, 87, 15 pages. Retrieved from
Journal article
Levesque, F. & Hurtut, T. (2021). MuzLink: Connected beeswarm timelines for visual analysis of musical adaptations and artist relationships. Information Visualization, 20(2-3), 170-191. Retrieved from
Conference paper
Levesque, F., St-Germain, M., Piche, D., Gauvin, J.-F., Gagnon, M. & Hurtut, T. (2020). MusX: Online exploring and visualizing graph-based musical adaptations. Paper presented at the 36th IEEE International Conference on Data Engineering (ICDE 2020), Dallas, TX (pp. 1734-1737). Retrieved from

Supervision at Polytechnique


  • Ph.D. Thesis (2)

    • Gutierrez Ortega, J.A. (2020). Example-Based Synthesis of 2D and Solid Textures (Ph.D. Thesis, Polytechnique Montréal). Retrieved from
    • Christodoulidis, A. (2017). Segmentation and Characterization of Small Retinal Vessels in Fundus Images Using the Tensor Voting Approach (Ph.D. Thesis, École Polytechnique de Montréal). Retrieved from
  • Master's Thesis (6)

News about Thomas Hurtut

NEWS | June 22, 2021
Discovery grants: Polytechnique Montréal obtains nearly $3,9 million for research programs | Read