Bilevel optimization
Leader–follower problems in which a pricing decision anticipates the optimal reaction of consumers; models, reformulations and algorithms.
Ph.D. candidate in applied mathematics · École Polytechnique & EDF Lab Paris-Saclay
I am a Ph.D. candidate at École Polytechnique, working on bilevel optimization and principal–agent models, with applications to the design of electricity pricing schemes for the residential market.
My thesis, “Bilevel Optimization and Principal–Agent Approach for Designing Incentive Models Applied to Electricity Pricing”, is supervised by Stéphane Gaubert (Inria & CMAP, École Polytechnique) and Luce Brotcorne (Inria), in collaboration with EDF, where I am advised by Wim van Ackooij and Quentin Jacquet.
Leader–follower problems in which a pricing decision anticipates the optimal reaction of consumers; models, reformulations and algorithms.
Incentive design under information asymmetry, value-function approximation, and links with optimal quantization of measures.
Design of time-of-use tariffs and price levels for the residential market, accounting for client participation and load flexibility.
Column generation and Dantzig–Wolfe decomposition for large-scale mixed-integer programs.
Joint Design of Time-of-Use Schedules and Price Levels: a Bilevel Model with Client Participation and Load Flexibility
arXiv preprint arXiv:2609.15496, 2026
Duality between polyhedral approximation of value functions and optimal quantization of measures
2025 IEEE 64th Conference on Decision and Control (CDC), Dec. 2025, pp. 2842–2849
Pricing filtering in Dantzig–Wolfe decomposition
Operations Research Letters, vol. 58 (2025), p. 107207
Email: abdellah.bulaich-mehamdi@polytechnique.edu
Address: EDF Lab Paris-Saclay, 7 Boulevard Gaspard Monge, 91120 Palaiseau, France