Tito Homem-de-Mello
Affiliations: | Industrial Engineering and Management Sciences | Northwestern University, Evanston, IL |
Area:
Operations Research, Industrial EngineeringGoogle:
"Tito Homem-de-Mello"Children
Sign in to add traineeShane S. Drew | grad student | 2007 | Northwestern |
Jian Hu | grad student | 2011 | Northwestern |
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Publications
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Silva T, Valladão D, Homem-de-Mello T. (2021) A data-driven approach for a class of stochastic dynamic optimization problems. Computational Optimization and Applications. 1-43 |
Guevara E, Babonneau F, Homem-de-Mello T, et al. (2020) A machine learning and distributionally robust optimization framework for strategic energy planning under uncertainty Applied Energy. 271: 115005 |
Gamboa C, Silva T, Valladão D, et al. (2020) A stochastic optimization model for short-term production of offshore oil platforms with satellite wells using gas lift Top. 1-26 |
Lagos T, Armstrong M, Homem-de-Mello T, et al. (2020) A framework for adaptive open-pit mining planning under geological uncertainty Optimization and Engineering. 1-36 |
Arpón S, Homem-de-Mello T, Pagnoncelli BK. (2020) An ADMM algorithm for two-stage stochastic programming problems Annals of Operations Research. 286: 559-582 |
Rahimian H, Bayraksan G, Homem-de-Mello T. (2019) Controlling risk and demand ambiguity in newsvendor models European Journal of Operational Research. 279: 854-868 |
Cadre HL, Pagnoncelli BK, Homem-de-Mello T, et al. (2019) Designing coalition-based fair and stable pricing mechanisms under private information on consumers’ reservation prices European Journal of Operational Research. 272: 270-291 |
Rahimian H, Bayraksan G, Homem-de-Mello T. (2019) Identifying effective scenarios in distributionally robust stochastic programs with total variation distance Mathematical Programming. 173: 393-430 |
Arpón S, Homem-de-Mello T, Pagnoncelli BK. (2018) Scenario reduction for stochastic programs with Conditional Value-at-Risk Mathematical Programming. 170: 327-356 |
Zhang L, Homem-de-Mello T. (2017) An Optimal Path Model for the Risk-Averse Traveler Transportation Science. 51: 518-535 |