Daniel Mimouni

I am a PhD student in Applied Mathematics at Mines Paris (CMA) and IFP énergies nouvelles (Applied Mathematics Department), under the supervision of Welington de Oliveira, Paul Malisani and Jiamin Zhu.

Through our objective of solving optimization problems under uncertainty in energy management, we explore, leverage, and enhance techniques in optimal transport, machine learning (mostly RL), convex optimization, and stochastic optimization algorithms.

I am dedicated to combining theoretical research in optimization with practical applications across industries, including energy, biomedical sciences, and technology-driven fields.

Contact: daniel.mimouni@ifpen.fr

News

• [May 19th-31st, 2025] Working on OT projects at the Optimal Transport Summer School with Gabriel Peyré, Filippo Santobrogio, Guillaume Carlier.
• [November 19th-20th, 2024] Presentation during the PGMO days, the annual conference of the Optimization, OR, and Data Science program of the FMJH Fondation Mathématiques Jacques Hadamard. I present my lattest works about a new approach for Scenario Tree Reduction via Wasserstein Barycenters.
  
• [July 21st-28th, 2024] I take part in the 25th International Symposium on Mathematical Programming in Montreal, Canada, where I present my work on a new approach to efficiently compute the Wasserstein Barycenter for discrete probability measures (balanced and unbalanced and with extending settings). I present in the session Advances in Variational Analysis and Nonsmooth Optimization.
  
• [April, 2024] I visit the Centre of Applied Mathematics in Sophia Antipolis to work closely with Welington de Oliveira and Gregorio Martinez about non-convex and non-smooth extensions within the Douglas-Rachford method framework.
  
• [Nov 28th-29th, 2023] Presentation during the PGMO days, the annual conference of the Optimization, OR, and Data Science program of the FMJH Fondation Mathématiques Jacques Hadamard. I presented a first new method to compute the Wasserstein Barycenter in the balanced setting.