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Antoine Lesage-Landry
B.Eng. (Poly), Ph.D. (Toronto)

Research interests and affiliations

Research interests
  • Modeling of power systems
  • Decision-making under uncertainty
  • Optimization
  • Online optimization
  • Online learning
  • Machine learning
  • Electric energy systems
  • Renewable energy systems
  • Smart grids
Affiliation(s)
Expertise type(s) (NSERC subjects)
  • 2501 Power systems
  • 2715 Optimization
  • 2805 Learning and inference theories
  • 2956 Optimization and optimal control theory
  • 2960 Mathematical modelling

Publications

Recent publications
Journal article
Lesage-Landry, A., Taylor, J.A. & Callaway, D.S. (2021). Online convex optimization with binary constraints. IEEE Transactions on Automatic Control, 66(12), 6164-6170. Retrieved from https://doi.org/10.1109/TAC.2021.3061625
Journal article
Lesage-Landry, A., Taylor, J.A. & Shames, I. (2021). Second-order online nonconvex optimization. IEEE Transactions on Automatic Control, 66(10), 4866-4872. Retrieved from https://doi.org/10.1109/TAC.2020.3040372
Journal article
Lesage-Landry, A. & Taylor, J.A. (2020). A second-order cone model of transmission planning with alternating and direct current lines. European Journal of Operational Research, 281(1), 174-185. Retrieved from https://doi.org/10.1016/j.ejor.2019.08.016
Journal article
Lesage-Landry, A. & Callaway, D.S. (2020). Dynamic and distributed online convex optimization for demand response of commercial buildings. IEEE Control Systems Letters, 4(3), 632-637. Retrieved from https://doi.org/10.1109/LCSYS.2020.2989110

Biography

Antoine Lesage-Landry is an Assistant Professor in the Department of Electrical Engineering at Polytechnique Montréal, QC, Canada. He received the B.Eng. degree in Engineering Physics from Polytechnique Montréal, in 2015, and the Ph.D. degree in Electrical Engineering from the University of Toronto, ON, Canada, in 2019. From 2019 to 2020, he was a Postdoctoral Scholar in the Energy & Resources Group at the University of California, Berkeley, CA, USA. His research interests include optimization, online learning, and their application to power systems with renewable generation.

Education

  • Ph.D., Electrical Engineering, University of Toronto
  • B.Eng., Engineering Physics, Polytechnique Montréal