Research interests and affiliations
The research interests of Professor Anjos are in the theory, algorithms and applications of mathematical optimization, especially the area of conic, semidefinite and polynomial optimization which is a major and thriving research area. He is particularly interested in the application of mathematical optimization techniques to engineering problems. He currently works on applying optimization in the areas of smart grids and facility layout.
- 1601 Operations research and management science
- 2956 Optimization and optimal control theory
- 2960 Mathematical modelling
Publications
Biography
Miguel F. Anjos is Adjunct Professor in the Department of Mathematics and Industrial Engineering of Polytechnique Montreal and holds the NSERC-Hydro-Québec-Schneider Electric Senior Industrial Research Chair on Optimization for Smart Grids. He received the B.Sc. degree in 1992 from McGill University, the M.S. in 1994 from Stanford University, and the Ph.D. degree in 2001 from the University of Waterloo. Prior to joining Polytechnique in 2010, he was Lecturer in Operational Research at the University of Southampton, and then Professor of Management Sciences at Waterloo, cross-appointed to Electrical and Computer Engineering.
His research interests are in the theory, algorithms and applications of mathematical optimization. He is particularly interested in the application of optimization to problems in power systems management and smart grid design, including electricity market models, hydropower generation, unit commitment, capacity expansion, electric transportation, and demand response. His research in these areas is supported by Hydro-Québec, Schneider Electric Canada, and Rio Tinto, and has been published in the IEEE Transactions on Power Systems, Mathematical Programming, IEEE Transactions on Smart Grid, and The Electricity Journal.
Professor Anjos was the Founding Director of Polytechnique's Trottier Institute for Energy. The Institute was inaugurated in May 2013 and is concerned with promoting sustainable solutions to secure the future of energy in Québec, Canada, and the world. He served as Expert Reviewer for the Trottier Energy Futures Project.
He is Editor-in-Chief of Optimization and Engineering and serves on the editorial boards of several other journals. He has served on the Council of the Mathematical Optimization Society, as Program Director for the SIAM Activity Group on Optimization, as Vice-Chair of the INFORMS Optimization Society, and as a member of the Research Review Committee of Mitacs. He received the Méritas Teaching Award from Ecole Polytechnique in 2012. He was awarded a Humboldt Research Fellowship for Experienced Researchers in 2009, and the Queen Elizabeth II Diamond Jubilee Medal for significant contributions to mathematical optimization and its industrial applications.
Professor Anjos is a fellow of EUROPT and of the Canadian Academy of Engineering (CAE). He is a past holder of a Canada Research Chair, and he currently holds an Inria International Chair on power peak minimization for the smart grid.
Supervision at Polytechnique
COMPLETED
-
Ph.D. Thesis (15)
- Faria Pires Gama Rocha, M. (2023). Mixed-integer Programming Models for Maintenance Scheduling in Power Transmission Systems [Ph.D. thesis, Polytechnique Montréal].
- Neves Motta, V. (2022). Optimal Allocation of Demand Response Through Aggregators Considering the Transmission System Topology [Ph.D. thesis, Polytechnique Montréal].
- Sliwak, J. (2021). Résolution de problèmes d'optimisation pour les réseaux de transport d'électricité de grande taille avec des méthodes de programmation semi-définie positive [Ph.D. thesis, Polytechnique Montréal].
- Besançon, M. (2020). Bilevel models for demand response in smart grids [Ph.D. thesis, Polytechnique Montréal].
- Tanneau, M. (2020). Exploiting structure in Mixed-Integer Linear and Non-linear Programming [Ph.D. thesis, Polytechnique Montréal].
- Bingane, C. (2019). Application de l'optimisation conique au problème d'écoulement de puissance optimal [Ph.D. thesis, Polytechnique Montréal].
- De Souza Dutra, M. D. (2019). Demand response for smart homes [Ph.D. thesis, Polytechnique Montréal].
- Etebarialamdari, N. (2019). A Data-driven Approach to Revenue Management Problem with Behavioral Considerations [Ph.D. thesis, Polytechnique Montréal].
- Barbier, T. (2018). Optimisation et simulation pour la gestion de disponibilite sous comportement d'achat [Ph.D. thesis, École Polytechnique de Montréal].
- Rodrigues de Sousa, V. J. (2018). Global Optimization of the Maximum K-Cut Problem [Ph.D. thesis, École Polytechnique de Montréal].
- Rodríguez Sarasty, J. A. (2018). Mixed-Integer Programming Approaches for Hydropower Generator Maintenance Scheduling [Ph.D. thesis, École Polytechnique de Montréal].
- Gomez Herrera, J. A. (2017). User-Oriented Demand Response for Smart Buildings [Ph.D. thesis, École Polytechnique de Montréal].
- Gillett, P. L. (2016). Semidefinite programming approaches and software tools for quadratic programs with linear complementarity constraints [Ph.D. thesis, École Polytechnique de Montréal].
- Tammam, A. I. (2016). Lissage optimal de la charge électrique en présence de sources d'énergies renouvelables via le pilotage de la consommation des chauffe-eau [Ph.D. thesis, École Polytechnique de Montréal].
- Adams, E. (2015). A Novel Approach to Tightening Semidefinite Relaxations for Certain Combinatorial Problems [Ph.D. thesis, École Polytechnique de Montréal].
- Faria Pires Gama Rocha, M. (2023). Mixed-integer Programming Models for Maintenance Scheduling in Power Transmission Systems [Ph.D. thesis, Polytechnique Montréal].
-
Master's Thesis (14)
- Proulx, L.-P. (2022). Optimisation sous incertitude de la demande d'un réseau électrique à l'aide d'une batterie virtuelle de chauffe-eau intelligents [Master's thesis, Polytechnique Montréal].
- Aubin, V. (2020). Modélisation de ressources hydroélectriques dans un contexte d'intégration des énergies renouvelables variables [Master's thesis, Polytechnique Montréal].
- Edom, É. (2020). Évaluation de l'impact de l'approximation de la fonction de production hydroélectrique sur le calendrier de maintenance de groupes turbo-alternateurs [Master's thesis, Polytechnique Montréal].
- Provost, V. (2020). Intégration au marché du stockage énergétique résidentiel après le compteur [Master's thesis, Polytechnique Montréal].
- Pedroli, F. (2019). Optimisation du déséquilibre de phase sur un réseau de distribution électrique grâce à de la gestion de la demande [Master's thesis, Polytechnique Montréal].
- Pied, M. (2019). Schémas de valorisation économique de grands ensembles de chauffe-eau électriques coordonnés par un agrégateur au sein d'un réseau intelligent [Master's thesis, Polytechnique Montréal].
- Salerno, I. (2019). Adaptable Thermal Storage Façade Design to Optimize Energy Use [Master's thesis, Polytechnique Montréal].
- Chénier, É. (2018). Agrégation d'un grand nombre de petites charges en incluant l'incertitude de la disponibilité des ressources [Master's thesis, École Polytechnique de Montréal].
- K. Bourque, M. (2018). Reformulation du problème d'estimation des paramètres d'un réseau électrique [Master's thesis, École Polytechnique de Montréal].
- Barbry, A. (2017). Évaluation des opportunités économiques pour une unité de stockage de grande taille sur le marché de l'électricité de New-York [Master's thesis, École Polytechnique de Montréal].
- Barris, N. (2015). Stratégie de commande optimale de la production électrique dans un site isolé [Master's thesis, École Polytechnique de Montréal].
- Barbier, T. (2013). Optimisation de la stratégie et du dimensionnement des systèmes hybrides éoliens, diesel, batterie pour sites isolés [Master's thesis, École Polytechnique de Montréal].
- Xu, X. (2013). Modélisation et analyse du fonctionnement d'un système de stockage intégré au réseau électrique [Master's thesis, École Polytechnique de Montréal].
- Costanzo, G. T. (2011). Demand Side Management in the Smart Grid [Master's thesis, École Polytechnique de Montréal].
- Proulx, L.-P. (2022). Optimisation sous incertitude de la demande d'un réseau électrique à l'aide d'une batterie virtuelle de chauffe-eau intelligents [Master's thesis, Polytechnique Montréal].
News about Miguel F. Anjos
Press review about Miguel F. Anjos

