El Mehdi Er Raqabi
· Professor of the PracticeGeorgia Institute of Technology · Industrial and Systems Engineering
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About
My research focuses on primal techniques for large-scale optimization. Specifically, I have been exploring the full optimization spectrum that goes from using optimization solvers to using optimization proxies. The full spectrum can be decomposed into four overlapping perspectives: solver (commercial, open-source, etc.), metaheuristics (local search, simulated annealing, etc.), exact (decompositions, branch-and-price, etc.), and learning (supervised, unsupervised, etc.).
Awards & honors
- GERAD 2024 Best Thesis Competition
- MAGI 2024 Best Thesis Prize
- Best Thesis Prize at Polytechnique Montreal
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