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Achievement: YOLOAchievement: Pair Extraordinairex3Achievement: QuickdrawAchievement: Galaxy BrainAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Achievements

Achievement: YOLOAchievement: Pair Extraordinairex3Achievement: QuickdrawAchievement: Galaxy BrainAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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@scipopt

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Joao-Dionisio/README.md

I'm a PhD student working on maintenance-scheduling problems in complex machinery, focusing on Dantzig-Wolfe decompositions. I'm also the maintainer of PySCIPOpt, the Python interface for the academic solver SCIP. Update: This will largely be on hiatus for the year of 2025/2026, to focus on my PhD.

You can find me on LinkedIn and ResearchGate.

If some of my research interests you, feel free to message me!

As far as hobbies go, I'm somewhat serious about chess, mostly in organizing tournaments. You can check the chessresults of the latest edition of the Maia Chess Festival here. 330 players from 44 different countries, with 13 Grandmasters and 14 International masters, playing 9 days of classical chess.

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  1. scipopt/PySCIPOpt scipopt/PySCIPOpt Public

    Python interface for the SCIP Optimization Suite

    Cython 952 274

  2. scipopt/scip scipopt/scip Public

    SCIP - Solving Constraint Integer Programs

    C 542 93

  3. Production-maintenance-scheduling-in-complex-machinery Production-maintenance-scheduling-in-complex-machinery Public

    Paper and code for the Branch and price for nonlinear production-maintenance scheduling in complex machinery (available in Optimization Online)

    Python

  4. mmghannam/co-work2024 mmghannam/co-work2024 Public

    Jupyter Notebook 25 14

  5. An-optimization-model-for-power-transformer-maintenance An-optimization-model-for-power-transformer-maintenance Public

    Code for the paper An optimization model for power transformer maintenance. DOI: https://doi.org/10.1007/978-3-031-46439-3_5

    Python 1

  6. Intro_to_Optimization Intro_to_Optimization Public

    Repository with lecture notes, slides, and code for the Optimization Course

    Python 5