Hi, I'm Thomas Chambon

I have a PhD in computer science and am currently a post-doc in computer vision.
During my thesis, I worked on the impact of information transmitted to the user and its influence on the evolution of his behavior.
I'm interested in improving image segmentation using community detection methods (Louvain Method, SBM) in graphs, but also with dedicated neural networks (GNN).

Thomas Chambon
Contact Me!

My main skills

Data analysis

Pandas, Matplotlib, Numpy, Statistical testing

ML/DL

SciKit-Learn, Pytorch & Pytorch Lightning, XGBoost, Auto-sklearn

Deployment

Docker, SLURM, Apptainer

Mobile Developpement

I've created a mobile app to estimate the carbon footprint of users'commutes (IOS/Android)

Eye-tracking

Complete eye-tracking experiment, from protocol to results analysis

Marketing

My thesis has given me the opportunity to work and learn in the field of marketing

Neurosciences

I worked and acquired notions in
the field of visual attention and
human decision process

Project Management

My various experiences have enabled me to manage a project from the design phase through to delivery

My Publications

  • 2024: T. Chambon, U. Soulat, J. Lallement, and J. Guillaume, “L'effet de la complexité visuelle de l'information sur l'intention et le comportement de mobilité urbaine” in INFORSID 2024 (Nancy)
    Available here!
  • 2023: Mesure des effets de la complexité de l’information sur les intentions et les comportements de mobilité urbaine : Construction d’un outil d’aide au changement de comportement. THESIS
    Available here!
  • 2023: T. Chambon, J.-L. Guillaume, and J. Lallement, “Information complexity ranking: A new method of ranking images by algorithmic complexity” Entropy, vol. 25, no. 3. (SJR Q2 / IF 2.1)
    Available here!
  • 2023: T. Chambon, U. Soulat, J. Lallement, and J. Guillaume, “The effect of visual information complexity on urban mobility intention and behavior” in RCIS 2023, Proceedings. (CORE ranking B)
    Available here!

Visit my Google Scholar profile
Ecomob project
Research
Ecomob Project

In the context of sustainable mobility, how can information have an impact on user behaviour?

PhD student on the project
Video presentation of ecomob project
Scientific communication
Presentation video of my research work in the ECOMOB project with Ulysse Soulat
FFPTS2020
Scientific communication
FFPTS 2020

Popular science film festival

Scriptwriting and shooting of a short film

Click to view the short!
Graph for image segmentation
Research
Improving Image segmentation with graphs

Evaluation of different community detection methods, consensus methods and graph neural network methods

Post-doctoral position
PhD seminar of the French computer science society
Scientific conference
Société informatique de France 2021 doctoral students' seminar

National event for France's young researchers in computer science

Presentation of my thesis work
PFIA2024
Other
PFIA 2024

French conferences on AI

Member of the organizing committee in charge of sponsorship and website
Young researchers seminars logo (generated by DALL-E 3)

Seminars for young researchers

Once a month, I organize seminars to discuss issues relating to science in general (epistemology, scientometrics, ethics). I also invite researchers to share their research work and methods in computer science, mainly with young researchers.

  • January 2024: Seminar on ontology and knowledge graphs by Georgeta Bordea

Contact

Don't hesitate to contact me!

thomaschambon

chambon.thomas.pro

Thomas-Chambon

Thomas Chambon

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