supervision

Supervised PhD and MSc Students.

Current

  • Amine Razig (PhD student, 2025-2028), working on Deep Learning for Spatio-Temporal Aggregation in Weather Forecasting. Co-supervised with Etienne Le Naour.

  • Gaspard Berthelier (PhD student, 2025-2028), working on Federated Learning for Time Series. Co-supervised with Etienne Le Naour.

Past

  • Applied Statistics Project at ENSAE Paris (2025, Project Page): supervision of a group of three MSc students working on Few-Shot Learning for Time Series Classification in the Energy Domain. Co-supervised with Etienne Le Naour.

  • Abdellahi Ebnou Oumar (MSc Student, 2023), on Learning from Irregular Time Series data.

  • Quoc Viet Nguyen (MSc Student, 2023), on Federated Learning for Time Series.

  • Ahmath Gadji (MSc Student, 2022), on Time Series Self-Supervised Learning.

  • Ye Liu (BSc Student, 2021), on Deep Graph Generative Models.

  • Sizhuo Yu (MSc Student, 2020) on Quantum Computing.

  • Adrien Le Coz (MSc Student, 2019), on Deep Learning for Process Synthesis.