Dr. Mohammed Majthoub Almoghrabi

 

Fakultät II - Mathematik und Naturwissenschaften
Institut für Mathematik, Sekr. MA 5-2
Technische Universität Berlin
Straße des 17. Juni 136
10623 Berlin

Büro: IMOS 4004 (Wegbeschreibung)
Telefon: +49 30 314 21095
Email: majthoub # at # math.tu-berlin.de

Publikationen

2026

• Integer and Unsplittable Multiflows in Series-Parallel Digraphs (Mohammed Majthoub Almoghrabi, Martin Skutella und Philipp Warode)
  Math. Program., 2026.
  erscheint bald. Extended abstract appeared in Proc. of IPCO 2025
  Bibtex
  @article{MajthoubSkutellaWarode-MathProg,
  author = {Almoghrabi, Mohammed Majthoub and Skutella, Martin and Warode, Philipp},
  title = {Integer and Unsplittable Multiflows in Series-Parallel Digraphs},
  journal = {Math. Program.},
  year = {2026},
  }
  

2025

• Surgery scheduling in flexible operating rooms by using a convex surrogate model of second-stage costs (Mohammed Majthoub Almoghrabi und Guillaume Sagnol)
  Eur. J. Oper. Res., Elsevier, 321(1):23–40, 2025.
  PDF doi arxiv Bibtex
  @article{majthoub2025surgery,
  title = {Surgery scheduling in flexible operating rooms by using a convex surrogate model of second-stage costs},
  author = {Almoghrabi, Mohammed Majthoub and Sagnol, Guillaume},
  journal = {Eur. J. Oper. Res.},
  volume = {321},
  number = {1},
  pages = {23--40},
  year = {2025},
  publisher = {Elsevier},
  arxiv = {2304.13670},
  doi = {10.1016/j.ejor.2024.07.036},
  }
  
• Integer and Unsplittable Multiflows in Series-Parallel Digraphs (Mohammed Majthoub Almoghrabi, Martin Skutella und Philipp Warode)
  IPCO 2025 – Proc. 26th Conference on Integer Programming and Combinatorial Optimization, Springer, pp. 427–441.
  Full paper accepted for Math. Program.
  doi Bibtex
  @inproceedings{MajthoubSkutellaWarode2025,
  author = {Almoghrabi, Mohammed Majthoub and Skutella, Martin and Warode, Philipp},
  editor = {Nicole Megow and
  Amitabh Basu},
  title = {Integer and Unsplittable Multiflows in Series-Parallel Digraphs},
  booktitle = {IPCO 2025 – Proc. 26th Conference on Integer Programming and Combinatorial Optimization},
  pages = {427--441},
  year = {2025},
  doi = {10.1007/978-3-031-93112-3_31},
  publisher = {Springer},
  }
  

2024

• Evaluating the Potential of Reinforcement Learning for Stochastic Machine Scheduling Problems (Mohammed Majthoub Almoghrabi und Guillaume Sagnol)
  2024 IEEE 36th International Conference on Tools with Artificial Intelligence (ICTAI), pp. 593–597.
  doi Bibtex
  @inproceedings{majthoub2024evaluating,
  title = {Evaluating the Potential of Reinforcement Learning for Stochastic Machine Scheduling Problems},
  author = {Almoghrabi, Mohammed Majthoub and Sagnol, Guillaume},
  booktitle = {2024 IEEE 36th International Conference on Tools with Artificial Intelligence (ICTAI)},
  pages = {593--597},
  year = {2024},
  organization = {IEEE},
  doi = {10.1109/ICTAI62512.2024.00089},
  }
  

Awards

• 3rd Place in the 14th AIMMS-MOPTA Optimization Modeling Competition
  (Mohammed Majthoub Almoghrabi, Guillaume Sagnol and Przemyslaw Bartman)
  14th AIMMS-MOPTA Optimization Modeling Competition
  

Software

• Stochastic Parallel Machine Scheduling
  Python Package
  • Machine learning-based approach for a stochastic scheduling problem on unrelated parallel machines.
  • State-of-the-art heuristic algorithms, serving as benchmarks for stochastic scheduling.
  
  
• Elective and Emergency Surgery Planning
  Python Package
  • Algorithm for solving a real-world operating room scheduling problem, combining elective and emergency surgeries.
  • Heuristic methods to serve as performance benchmarks.
  • Interactive demonstrator accessible at: https://wsgi.math.tu-berlin.de/esp_demonstrator/
  docs source
  
  
• Single-Source Unsplittable Flow
  Python Package
  • Heuristic algorithm to address the single-source unsplittable flow problem with upper and lower bounds.
  docs source