Juan José Miranda-Bront bio photo

Juan José Miranda-Bront

CS, OR, Math. Prog. Transportation. Researcher @ CONICET/UTDT. Basketball veteran.

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Students

Ph.D. students

  • Juan Pablo Lebón (2026 - expected 2030). Applied Science and Technology, Universidad Torcuato Di Tella.
  • Gonzalo Lera Romero (2018 - 2025). Thesis: Optimization Techniques applied to distribution problems under variable traffic conditions. Computer Science, Universidad de Buenos Aires.
    Grade: Sobresaliente (Outstanding)
  • Agustín Montero (2015 - 2022). Co-supervised with Isabel Méndez-Díaz. Thesis: Enhanced integer linear programming techniques for vehicle routing problems. Computer Science, Universidad de Buenos Aires.
    Grade: Sobresaliente (Outstanding)

M.Sc. students, MiM + AI, Universidad Torcuato Di Tella

Current

  • Ivo Nacucchio (2022 - expected 2026).
  • Juan José Zunino (2021 - expected 2026). On the estimation of travel time functions using Mixed Integer Linear Programming.
  • Marco Gonzalez Prieto (2020 - ongoing). Designing last-mile logistic networks with roaming delivery centers.

Completed

  • Matina Ramella (2022 - 2025). Asignación de recursos humanos a líneas de producción en autopartistas y la industria automotriz. Grade: Approved
  • Alan Hasman (2022 - 2025). Modelo de pronóstico de Demanda y Redistribución óptima del Inventario. Grade: Approved
  • Lucio Juarez (2023 - 2025). Co-advisor. Integrating a Pipeline of Diverse Data Sources to estimate CEO Overconfidence. Grade: Approved
  • Matías Gabriel Córdoba (2022 - 2024). Co-advisor. El impacto del fixture en el orden competitivo: Un estudio sobre el nuevo formato de la Champions League. Grade: Approved
  • Martín Saavedra Sanchez (2022 - 2024). Uso de técnicas de análisis prescriptivo para optimizar las rutas de distribución de una PYME. Grade: Approved
  • Matías Sciurano (2022 - 2024). Optimización de la política vehicular aplicada a la seguridad pública en la Ciudad Autónoma de Buenos Aires. Grade: Approved
  • Tatiana Rogatky (2022 - 2024). Operating room scheduling under resource constraints using Integer Linear Programming. Grade: Approved
  • Matías Albinati (2020 - 2024). Solving the Exam Timetabling Problem with clustering preferences at UTDT vía Integer Programming. Grade: Approved
  • Nicolás Cruces (2022 - 2023). Let’s shuffle: Facility Optimal Location for Stations within Bicycle Sharing Systems in the City of Buenos Aires after the pandemic. Grade: Approved
  • Tomás Insúa (2021 - 2023). Strategic design of sports tournaments: a mid-season tournament for the NBA. Grade: Approved
  • Pablo Piccoli-Bornia (2020 - 2021). Assessing the impact of jurisdictional constraints in police operations vía Analytics. Grade: Approved
  • Diego Voulimnot (2019 - 2020). Optimization algorithms applied to sustainable waste collection. Grade: Approved
  • Juan Pablo Santos (2019 - 2020). Large scale General Assignment Problems applied to logistic network design for e-commerce operations. Grade: Approved
  • Nicolás García Aramouni (2019 - 2020). Designing context-aware schedules for the LNB via Integer Linear Programming. Grade: Approved

M.Sc. students, Universidad de Buenos Aires

  • Jonás Levy (2019 - 2021). Co-advisor: Gonzalo Lera-Romero. An enhanced Branch-and-Price algorithm for the VRP over road networks. Grade: 10/10
  • Brian Bohe (2019 - 2021). Co-advisor: Gonzalo Lera-Romero. A Branch-and-Price algorithm for the VRP with locker boxes and variable capacity. Grade: 10/10
  • Gustavo Hurovich (2019 - 2020). Co-supervised with Isabel Méndez-Díaz. Computational methods for Pacing Equilibria in Auction Markets. Grade: 10/10
  • Gastón Requeni (2017 - 2021). Co-supervised with Isabel Méndez-Díaz. Methods for the integrated timetable and crew rescheduling problem in railway disruption management. Grade: 10/10
  • Federico Canay (2016 - 2018). Co-supervised with Isabel Méndez-Díaz and Paula Zabala. Train network design problem. Grade: 10/10
  • Santiago Aboy-Solanes (2016 - 2018). Co-supervised with Agustín Montero. Inventory Routing Problem. Grade: 10/10
  • Gonzalo Lera-Romero (2016 - 2017). Integer programming formulations for the time-dependent elementary shortest path problem with resource constraints. Grade: 10/10
  • Agustín Mosteiro (2015 - 2017). Co-supervised with Federico Pousa. ILP applied to the timetable rescheduling problem in railway disruption management. Grade: 10/10.
    [download] (in Spanish)
  • Agustín Montero (2013 - 2014). Co-supervised with Isabel Méndez-Díaz. An ILP-based local search for the VRP with pickup and deliveries. Grade: 10/10.
    [download] (in Spanish)