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Antoine Lesage-LandryDepartment of Electrical Engineering
Profile in the Directory of Experts of Polytechnique Montréal
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Aziz, M., Suprême, H., Dagdougui, H., & Lesage-Landry, A. (2025). Optimal energy trading in residential prosumer clusters via graphon mean field games. (Technical Report n° G-2025-80). External link
Almekhlafi, M., Lesage-Landry, A., & Karabulut Kurt, G. (2025). Access Inequality in LEO Satellite Networks: A Case Study of High-Latitude Coverage in Northern Québec. IEEE Open Journal of Vehicular Technology, 6, 1613-1630. Available
Audet, X., Qako, K., & Lesage-Landry, A. (2025). A distributionally robust optimization strategy for virtual bidding in two-settlement electricity markets. (Technical Report n° G-2025-31). External link
Almekhlafi, M., Lesage-Landry, A., & Karabulut Kurt, G. (2025, September). Connectivity-Aware Task Offloading for Remote Northern Regions: a Hybrid LEO-MEO Architecture [Paper]. 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2025), Istanbul, Turkiye (6 pages). External link
Audet, X., Qako, K., & Lesage-Landry, A. (2025). A Distributionally Robust Optimization Strategy for Virtual Bidding in Two-Settlement Electricity Markets. Sustainable Energy, Grids and Networks, 101904. External link
Afif, Y., Almekhlafi, M., Lesage-Landry, A., & Karabulut Kurt, G. (2025, October). Joint Satellite Power Consumption and Handover Optimization for LEO Constellations [Paper]. International Conference on Wireless for Space and Extreme Environments (WiSEE 2025), Halifax, NS, Canada (6 pages). External link
Bélanger, O., Lupien, J.-L., Ben Yahia, O., Martel, S., Lesage-Landry, A., & Benchoubane, N. (2026). Online Convex Optimization for On-Board Routing in High-Throughput Satellites. Journal of Aerospace Information Systems, 8 pages. External link
Ben Yahia, O., Garroussi, Z., Sanso, B., Frigon, J.-F., Martel, S., Lesage-Landry, A., & Karabulut Kurt, G. (2024). A scalable architecture for future regenerative satellite payloads. (Technical Report n° G-2024-40). External link
Ben Yahia, O., Garroussi, Z., Sanso, B., Frigon, J.-F., Martel, S., Lesage-Landry, A., & Karabulut Kurt, G. (2024). A Scalable Architecture for Future Regenerative Satellite Payloads. IEEE Wireless Communications Letters, 1-1. External link
Ben Yahia, O., Garroussi, Z., Bélanger, O., Sanso, B., Frigon, J.-F., Martel, S., Lesage-Landry, A., & Karabulut Kurt, G. (2024). Evolution of High-Throughput Satellite Systems: A Vision of Programmable Regenerative Payload. IEEE Communications Surveys & Tutorials, 3450292 (34 pages). External link
Bélanger, O., Lupien, J.-L., Ben Yahia, O., Martel, S., Lesage-Landry, A., & Karabulut Kurt, G. (2024, July). Online Convex Optimization for On-Board Routing in High-Throughput Satellites [Abstract]. 25th International Symposium on Mathematical Programming (ISMP 2024), Montréal, QC, Canada. External link
Bélanger, O., Ben Yahia, O., Martel, S., Lesage-Landry, A., & Karabulut Kurt, G. (2024, March). Quality of Service-Constrained Online Routing in High Throughput Satellites [Paper]. 2024 IEEE Aerospace Conference, Big Sky, MT, USA (9 pages). External link
Ben Yahia, O., Garroussi, Z., Bélanger, O., Sanso, B., Frigon, J.-F., Martel, S., Lesage-Landry, A., & Karabulut Kurt, G. (2023). Evolution of high throughput satellite systems: Vision, requirements, and key technologies. (Technical Report n° G-2023-44). External link
Coulombe, M., Berger, M., & Lesage-Landry, A. (2025). Simulation of a closed-loop dc-dc converter using a physics-informed neural network-based model. Electric Power Systems Research, 252, 112408 (8 pages). External link
Coulombe, M.-A., Berger, M., & Lesage-Landry, A. (2025). Simulation of a closed-loop dc-dc converter using a physics-informed neural network-based model. (Technical Report n° G-2025-41). External link
Durette, J., Karabulut Kurt, G., & Lesage-Landry, A. (2025). Task mapping strategies for electric power system simulations on heterogeneous clusters. (Technical Report n° G-2025-32). External link
Durette, J., Karabulut Kurt, G., & Lesage-Landry, A. (2025, September). Task Mapping Strategies for Electric Power System Simulations on Heterogeneous Clusters [Paper]. International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm 2025), North York, ON, Canada. External link
Daoust, O., Nayir, H., Azam, I., Lesage-Landry, A., & Karabulut Kurt, G. (2024, June). Tensor-Based Space Debris Detection for Satellite Mega-constellations [Paper]. 2024 IEEE International Conference on Communications Workshops (ICC Workshops 2024), Denver, CO, USA. External link
Farzin, A. A., Pun, Y.-M., Lesage-Landry, A., Diouane, Y., & Shames, I. (2025). Min-max optimisation for nonconvex-nonconcave functions using a random zeroth-order extragradient algorithm. Transactions on Machine Learning Research, 59 pages. Available
Garroussi, Z., Ben Yahia, O., Sanso, B., Frigon, J.-F., Martel, S., Mantelet, G., Lesage-Landry, A., & Karabulut Kurt, G. (2025, June). Multi-Priority Scheduling for Traffic Management in Future Scalable Payloads [Paper]. IEEE International Conference on Communications Workshops (ICC Workshops 2025), Montreal, QC, Canada. External link
Henriquez, R., Lesage-Landry, A., Taylor, J. A., Olivares, D., & Negrete-Pincetic, M. (2017, November). Managing load contract restrictions with online learning [Paper]. IEEE Global Conference on Signal and Information Processing (GlobalSIP 2017), Montréal, Qc, Canada. External link
Kim, J., Mahseredjian, J., Karaagac, U., Lesage-Landry, A., Grilo, A. P., & Kim, C.-H. (2024, November). State-Space Models for Control Interaction Analysis of DFIG and FSC Wind Parks [Paper]. 50th Annual Conference of the IEEE Industrial Electronics Society (IECON 2024), Chicago, IL, USA. External link
Li, F., Kocar, I., & Lesage-Landry, A. (2026). Practical Solutions to Volt-var Optimization under Uncertainty via Blackbox Optimization. IEEE Transactions on Power Delivery, 12 pages. External link
Le Digabel, S., Lesage-Landry, A., Salomon, L., & Tribes, C. (2025). Efficient search strategies for constrained multiobjective blackbox optimization. (Technical Report n° G-2025-28). External link
Laurentin, T., Coirault, P., Moulay, E., Lesage-Landry, A., & Le Ny, J. (2025, December). Distributed Combined Space Partitioning and Network Flow Optimization: an Optimal Transport Approach [Paper]. 64th Conference on Decision and Control (CDC 2025), Rio de Janeiro, Brazil. External link
Lupien, J.-L., & Lesage-Landry, A. (2025). Ex post conditions for the exactness of optimal power flow conic relaxations. Electric Power Systems Research, 238, 111130 (4 pages). External link
Lauzon, J.-W., Kocar, I., & Lesage-Landry, A. (2025). Reliability Assessment of Distribution Systems With Microgrids Using Discrete-Time Markov Chains. IEEE Transactions on Power Delivery, 12 pages. External link
Li, F., Kocar, I., & Lesage-Landry, A. (2024, July). A Rapid Method for Impact Analysis of Grid-edge Technologies on Power Distribution Networks [Paper]. IEEE Power & Energy Society General Meeting (PESGM), Seattle, WA, USA. External link
Li, F., Kocar, I., & Lesage-Landry, A. (2024). A Rapid Method for Impact Analysis of Grid-Edge Technologies on Power Distribution Networks. IEEE Transactions on Power Systems, 39(1), 1530-1542. External link
Li, F., Campeau, É., Kocar, I., & Lesage-Landry, A. (2024). Inferring electric vehicle charging patterns from smart meter data for impact studies. (Technical Report n° G-2024-02). External link
Li, F., Campeau, É., Kocar, I., & Lesage-Landry, A. (2024). Inferring electric vehicle charging patterns from smart meter data for impact studies. Electric Power Systems Research, 235, 110789 (6 pages). External link
Lesage-Landry, A., & Pallage, J. (2024). Online dynamic submodular optimization. Automatica, 167, 111758 (9 pages). External link
Lupien, J.-L., Shames, I., & Lesage-Landry, A. (2024). Online Interior-Point Methods for Time-Varying Equality-Constrained Optimization. IEEE Transactions on Automatic Control, 8 pages. External link
Lesage-Landry, A., Lupien, J.-L., & Shames, I. (2024, July). Online Interior-point Methods for Time-Varying Equality-constrained Optimization [Abstract]. 25th International Symposium on Mathematical Programming (ISMP 2024), Montréal, QC, Canada. External link
Lesage-Landry, A., Pellerin, F., Callaway, D. S., & Taylor, J. A. (2023). Optimally scheduling public safety power shutoffs. Stochastic systems, 19 pages. Available
Li, F., Kocar, I., & Lesage-Landry, A. (2023). Mitigating equipment overloads due to electric vehicle charging using customer incentives. (Technical Report n° G-2023-01). External link
Lesage-Landry, A., & Callaway, D. S. (2023). Approximated multi-agent fitted Q iteration. Systems & Control Letters, 177, 105563 (10 pages). External link
Li, F., Kocar, I., & Lesage-Landry, A. (2023, July). Mitigating Equipment Overloads due to Electric Vehicle Charging Using Customer Incentives [Paper]. IEEE Power & Energy Society General Meeting (PESGM 2023), Orlando, FL, USA (5 pages). External link
Lupien, J.-L., & Lesage-Landry, A. (2023). An Online Newton's Method for Time-Varying Linear Equality Constraints. IEEE Control Systems Letters, 7, 1423-1428. External link
Lupien, J.-L., & Lesage-Landry, A. (2022). Online Newton's method with linear time-varying equality constraints. (Technical Report n° G-2022-49). External link
Lesage-Landry, A., Pellerin, F., Taylor, J. A., & Callaway, D. (2022). Optimally scheduling public safety power shutoffs. (Technical Report n° G-2022-09). External link
Li, F., Kocar, I., & Lesage-Landry, A. (2022). Rapid method for impact analysis of grid-edge technologies on power distribution networks. (Technical Report n° 2022-45). External link
Lesage-Landry, A., & Callaway, D. S. (2022). Approximated multi-agent fitted Q iteration. (Technical Report n° G-2022-02). External link
Lesage-Landry, A., & Callaway, D. S. (2022). Batch reinforcement learning for network-safe demand response in unknown electric grids. (Technical Report n° G-2021-55). External link
Lesage-Landry, A., & Callaway, D. S. (2022). Batch reinforcement learning for network-safe demand response in unknown electric grids. Electric Power Systems Research, 212, 108375 (7 pages). External link
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. External link
Lesage-Landry, A., Taylor, J. A., & Shames, I. (2021). Second-order online nonconvex optimization. IEEE Transactions on Automatic Control, 66(10), 4866-4872. External link
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. External link
Lesage-Landry, A., Chen, S., & Taylor, J. A. (2020). Estimating the frequency coupling matrix from network measurements. IEEE Transactions on Control of Network Systems, 7(2), 724-733. External link
Lesage-Landry, A., Wang, H., Shames, I., Mancarella, P., & Taylor, J. (2020). Online convex optimization of multi-energy building-to-grid ancillary services. IEEE Transactions on Control Systems Technology, 28(6), 2416-2431. External link
Lesage-Landry, A., Shames, I., & Taylor, J. A. (2020). Predictive online convex optimization. Automatica, 113, 108771 (9 pages). External link
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. External link
Lesage-Landry, A., & Taylor, J. A. (2018). The multi-armed bandit with stochastic plays. IEEE Transactions on Automatic Control, 63(7), 2280-2286. External link
Lesage-Landry, A., & Taylor, J. A. (2018). Setpoint tracking with partially observed loads. IEEE Transactions on Power Systems, 33(5), 5615-5627. External link
Lesage-Landry, A., & Taylor, J. A. (2017, January). Learning to shift thermostatically controlled loads [Paper]. 5th Hawaii International Conference on System Science (HICSS 2017), Big Island, Hawaii. External link
Lesage-Landry, A., & Taylor, J. A. (2017, August). Online convex optimization for demand response [Paper]. IREP 2017 Symposium : X Bulk Power Systems Dynamics and Control Symposium (IREP 2017), Espinho, Portugal (8 pages). Unavailable
Loranger, S., Lesage-Landry, A., Soares De Lima Filho, E., Nemova, G., Dantas, N., Morais, P., & Kashyap, R. (2013, February). Spectroscopic and life-time measurements of quantum dot doped glass for optical refrigeration: a feasibility study [Paper]. SPIE OPTO 2013, San Francisco, California (8 pages). External link
Molénat, M. C., Mahseredjian, J., Rashidirad, N., & Lesage-Landry, A. (2025). On the frequency variation in load-flow calculations for islanded alternating current microgrids. Mathematics and Computers in Simulation. Presented at International Conference on Modeling and Simulation of Electric Machines, Converters and Systems (ElectrIMACS 2024), Castelló, Spain. External link
Muhindo, S. M., Dagdougui, H., Lesage-Landry, A., & Suprême, H. (2025, October). A Comprehensive Review of Transmission and Distribution Optimal Power Flow Problems for the Integration of Distributed Energy Resources [Paper]. Electrical Power and Energy Conference (EPEC 2025), Waterloo, ON, Canada. External link
Merrigan, H., Wu, Y. H., Lesage-Landry, A., Shigematsu, K., Yamamoto, M., & Imaoka, J. (2025, September). Unlocking Free-Position Electric Vehicle Charging: A Neural Network-Driven Approach for Optimisation of Multi-coil Wireless Power Transfer Systems [Paper]. Energy Conversion Congress & Expo Europe (ECCE Europe 2025), Birmingham, United Kingdom. External link
Mai, V., Maisonneuve, P., Zhang, T., Nekoei, H., Paull, L., & Lesage-Landry, A. (2024). Correction to: Multi-agent reinforcement learning for fast-timescale demand response of residential loads. Machine Learning, 113, 3355-3355. External link
Maisonneuve, P., & Lesage-Landry, A. (2024). Learning-accelerated mixed-integer quadratic programming for unit commitment. (Technical Report n° G-2024-08). External link
Molénat, M., Mahseredjian, J., Rashidirad, N., & Lesage-Landry, A. (2024). On the frequency variation in load-flow calculations for islanded AC microgrid. (Technical Report n° G-2024-26). External link
Merrigan, H., Yu-Hsin, W., Shigematsu, K., Yamamoto, M., Imaoka, J., & Lesage-Landry, A. (2024, November). Optimising Electric Vehicle Wireless Charging Systems Using Neural Networks to Enable Free-Position Parking [Paper]. 13th International Conference on Renewable Energy Research and Applications (ICRERA 2024), Nagasaki, Japan. External link
Mendoza, S., Le Digabel, S., & Lesage-Landry, A. (2024, July). Parallel versions of the mesh adaptive direct search algorithm [Abstract]. 25th International Symposium on Mathematical Programming (ISMP 2024), Montréal, QC, Canada. External link
Mai, V., Maisonneuve, P., Zhang, T., Nekoei, H., Paull, L., & Lesage-Landry, A. (2023). Multi-agent reinforcement learning for fast-timescale demand response of residential loads. Machine Learning, 113, 5203-5234. External link
Mai, V., Maisonneuve, P., Zhang, T., Nekoei, H., Paull, L., & Lesage-Landry, A. (2023, May). Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads [Poster]. 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023), London, UK. Published in Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems. External link
Mai, V., Zhang, T., & Lesage-Landry, A. (2021, December). Multi-agent reinforcement learning for renewable integration in the electric power grid [Paper]. NeurIPS Workshop on Tackling Climate with Machine Learning. Unavailable
Mohamed, A., Lesage-Landry, A., & Taylor, J. A. (2017, October). Dispatching thermostatically controlled loads for frequency regulation using adversarial multi-armed bandits [Paper]. IEEE Electrical Power and Energy Conference (EPEC 2017), Saskatoon, Sk (6 pages). External link
N'Zi, K., Rashidirad, N., Mahseredjian, J., & Lesage-Landry, A. (2025, October). Modified and Augmented Nodal Analysis-based Optimal Power Flow [Paper]. 51st Annual Conference of the IEEE Industrial Electronics Society (IECON 2025), Madrid, Spain (6 pages). External link
Ouellette, O., Lesage-Landry, A., Scheffel, B., Hoogland, S., García de Arquer, F. P., & Sargent, E. H. (2020). Spatial collection in colloidal quantum dot solar cells. Advanced Functional Materials, 30(1), 1908200 (7 pages). External link
Pallage, J., & Lesage-Landry, A. (2025). Wasserstein Distributionally Robust Shallow Convex Neural Networks. INFORMS Journal on Optimization. External link
Paré, M.-C., Dermardiros, V., & Lesage-Landry, A. (2025, October). Efficient Data-Driven Model Predictive Control for Demand Response of Commercial Buildings [Paper]. 51st Annual Conference of the IEEE Industrial Electronics Society (IECON 2025), Madrid, Spain (8 pages). External link
Pallage, J., & Lesage-Landry, A. (2025, December). Sliced-Wasserstein Distance-based Data Selection [Paper]. International Conference on Machine Learning and Applications (ICMLA 2025), Boca Raton, FL, USA. External link
Pallage, J., & Lesage-Landry, A. (2024). (Trustworthy) AI for Québec's virtual power plant. (Technical Report n° G-2024-23). External link
Pallage, J., & Lesage-Landry, A. (2024, July). Wasserstein Distributionally Robust Shallow Convex Neural Networks [Abstract]. 25th International Symposium on Mathematical Programming (ISMP 2024), Montréal, QC, Canada. External link
Ricaux, V., Legrain, A., & Lesage-Landry, A. (2025, July). On the Clique Decomposition Impact to the Optimal Power Flow Semidefinite Relaxation Solve Time [Paper]. Power & Energy Society General Meeting (PESGM 2025), Austin, TX, USA (5 pages). External link
Ricaux, V., Legrain, A., & Lesage-Landry, A. (2024). On the clique decomposition impact to the optimal power flow semidefinite relaxation solve time. (Technical Report n° G-2024-77). External link
Soldati, C., Le Digabel, S., & Lesage-Landry, A. (2025). Blackbox optimization for loss minimization in power distribution networks using feeder reconfiguration. (Technical Report n° G-2025-52). External link
Sepho, L., Anjos, M. F., Dems, A., Dagdougui, H., & Lesage-Landry, A. (2024, July). Hierarchical optimization of cooperative distributed energy resource aggregations in power distribution systems [Abstract]. 25th International Symposium on Mathematical Programming (ISMP 2024), Montréal, QC, Canada. External link
Tekbiyik, K., Hossein Fahim Raouf, A., Güvenç, İ., Chen, M., Karabulut Kurt, G., & Lesage-Landry, A. (2026). AI-Driven Low-Altitude Economy: Spectrum, Mobility, and Validation. IEEE Network. External link
Tekbiyik, K., Karabulut Kurt, G., & Lesage-Landry, A. (2025, September). Federated Learning for UAV-based Spectrum Sensing: Enhancing Accuracy Through SNR-Weighted Model Aggregation [Paper]. 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2025), Istanbul, Turkiye (6 pages). External link
Xue, T., Zhao, M., Kocar, I., Ghafouri, M., Lesage-Landry, A., Bu, S., & Zhu, Z. (2025). Efficient Deep Reinforcement Learning-Based Supplementary Damping Control with a Coordinated RMS Training and EMT Testing Scheme. IEEE Transactions on Power Delivery, 1-14. External link
