Teaching

Creating an AI Challenge — M1 Artificial Intelligence, Université Paris-Saclay

Lecturer · 2025–2026

Task: wheat grain classification for varietal proportion estimation.
Teach students to design, implement, and run a complete ML competition on Codabench.
Mentor students to a CAp 2026 publication.

Creating an AI Challenge (Natural Language Processing) — M1 Artificial Intelligence, Université Paris-Saclay

Lecturer · 2023–2024

Task: benchmarking AI reviewers for survey paper relevance.
Teach students to design, implement, and run a complete ML competition on Codabench.
Mentor students to a CAp 2024 publication.

Student publications

Estimating Varietal Proportions in Wheat Grain Mixtures with Fine-Tuned Deep Vision Models O.A. Houmed, Q.-P. Ho, A. Moujar, O. Oloruntobi Paul, G.D.M. Okou, R. Lu, T.G.H. Khuong, M. Ecarnot, S. Chevallier, T. Flutre, L. Sun-Hosoya, F.P. Landes — CAp 2026
RelevAI-Reviewer: A Benchmark on AI Reviewers for Survey Paper Relevance P.H. Couto, Q.-P. Ho, N. Kumari, B.K. Rachmat, I. Ullah, L. Sun-Hosoya, T.G.H. Khuong — CAp 2024