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Daniel Aloise
M.Sc. (PUC-Rio, Brésil) et un Ph.D. (Poly)

Research interests and affiliations

Research interests

• Data Science • Big Data • Optimization • Mathematical Programming

Expertise type(s) (NSERC subjects)
  • 1601 Operations research and management science
  • 2510 Adaptive, learning and evolutionary systems
  • 2713 Algorithms
  • 2715 Optimization


Recent publications
Journal article
Silva, A., Aloise, D., Coelho, L.C. & Rocha, C. (2020). Heuristics for the dynamic facility location problem with modular capacities. European Journal of Operational Research, 46 pages. Retrieved from
Conference paper
Pinheiro, D.N., Xavier-de-Souza, S. & Aloise, D. (2020). Scaling Optimizations for Large-Scale Distributed Data with Lightweight Coresets. Paper presented at the IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW 2020), New Orleans, LA (pp. 426-429). Retrieved from
Conference paper
Fournier, Q., Ezzati-Jivan, N., Aloise, D. & Dagenais, M.R. (2019). Automatic cause detection of performance problems in web applications. Paper presented at the 30th IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW 2019), Berlin, Germany (pp. 398-405). Retrieved from

Supervision at Polytechnique


  • Master's Thesis (3)

    • Haouas, M.N. (2020). Résolution exacte du problème de partitionnement de données avec minimisation de variance sous contraintes de cardinalité par programmation par contraintes (Master's Thesis, Polytechnique Montréal). Retrieved from
    • Boucaud, L. (2019). Mécanismes d'attention pour les modèles convolutifs dans le cadre de la prédiction de trajectoires (Master's Thesis, Polytechnique Montréal). Retrieved from
    • Hulot, P. (2018). Towards Station-Level Demand Prediction for Effective Rebalancing in Bike-Sharing Systems (Master's Thesis, École Polytechnique de Montréal). Retrieved from