Mathieu Tanneau

Mathieu Tanneau

Research Engineer

Georgia Institute of Technology


I am a research engineer at Georgia Tech and the AI Institute for Advances in Optimization (AI4OPT), working with Pr. Pascal Van Hentenryck. My work focuses on optimization and machine learning and their application to power systems. I received my PhD in 2020 from Polytechnique Montréal, where I was advised by Prs. Andrea Lodi and Miguel F. Anjos.

  • Mixed-Integer Optimization
  • Power Systems
  • Machine Learning
  • PhD in Applied Mathematics, 2020

    Polytechnique Montréal

  • M.S., 2015

    Ecole polytechnique


Georgia Tech
Post-doctoral Fellow
Georgia Tech
Feb 2021 – Present Atlanta, GA

Responsibilities include:

  • Project management
  • Undergraduate and graduate students supervision
  • Interactions with industrial partner
Visiting PhD Student
Massachusetts Institute of Technology
May 2019 – Aug 2019 Cambridge, MA


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(2023). End-to-End Feasible Optimization Proxies for Large-Scale Economic Dispatch. IEEE TPWRS.

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(2022). Just-In-Time Learning for Operational Risk Assessment in Power Grids. Submitted to IEEE Transactions on Power Systems.

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(2022). Active Bucketized Learning for ACOPF Optimization Proxies. Submitted to AAAI 2023.

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(2022). Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch. In EPSR.

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(2022). A Linear Outer Approximation of Line Losses for DC-based Optimal Power Flow Problems. EPSR.

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