Current Areas

  • Machine Learning for Mixed Integer Linear Programming (MILP):
    • Designing human-readable Machine Learning strategies to speed up MILP solvers.
    • Study of the structure between MILP instances to guide the solving.
  • Sensor Networks & IoT:
    • Scheduling and energy-efficient monitoring in large-scale, constrained sensor networks.

Publications

International Journals

  • P. Maillé, G. Maudet, M. Simon, B. Tuffin, “Are Search Engines Biased? Detecting and Reducing Bias using Meta Search Engines,” Electronic Commerce Research and Applications, 2022. (SJR: Q1) Link

International Conferences

  • A. Vorokhta, G. Maudet, G. Danoy, “Selecting the Best Lower-Bound Strategy in a Branch-and-Bound Algorithm Using Genetic Programming”,International Workshop on Big Optimization, 2026. Link
  • G. Maudet, G. Danoy,”A Distance Metric for Mixed Integer Programming Instances”, European Conference on Artificial Intelligence, 2025. (CORE: A) Link
  • G. Maudet, G. Danoy, “Search Strategy Generation for Branch and Bound Using Genetic Programming,” Association for the Advancement of Artificial Intelligence, 2025. (CORE: A*) Link
  • G. Maudet, M. Batton-Hubert, P. Maillé, L. Toutain, “Energy Efficient Message Scheduling with Redundancy Control for Massive IoT Monitoring,” IEEE WCNC, 2023. (CORE: B) Link
  • G. Maudet, M. Batton-Hubert, P. Maillé, L. Toutain, “Emission Scheduling Strategies for Massive-IoT: Implementation and Performance Optimization,” IEEE/IFIP NOMS, 2022. (CORE: B) Link

Extended Abstracts and National Conferences

  • M. Da cunha G. Maudet, G. Danoy, “Cutting Plane Selection for Mixed-Integer Linear Programming Using Genetic Programming”, Extended Abstract, Conference on Optimisation and Learning, 2026.
  • B.Blé, G. Maudet, G. Danoy, “Distance-based Portfolio Learning For Mixed-integer Programming”, Extended Abstract, Conference on Optimisation and Learning, 2026.
  • G. Maudet, G. Danoy,”Une Distance pour les Instances de Programmation Linéaire en Nombres Entiers Mixtes”, ROADEF, February 2026.
  • G. Maudet, G. Danoy,”A Distance Metric for Mixed Integer Programming Instances”, ORBEL, February 2026.
  • A. Vorokhta, G. Maudet, G. Danoy, “Generating LB Computation Strategies in a B&B Algorithm: Application to the PFSP”, Extended Abstract, Conference on Optimisation and Learning, 2025.
  • G. Maudet, M. Batton-Hubert, P. Maillé, L. Toutain, “Grouper les Capteurs Similaires Grâce à leurs Données dans le Contexte de Massive IoT,” ALGOTEL, May 2024.
    Link
  • G. Maudet, M. Batton-Hubert, P. Maillé, L. Toutain, “Réduction de la Redondance de Messages des Capteurs dans un Contexte Massive IoT,” ALGOTEL, May 2023.
    Link

Preprint

  • G. Maudet, M. Batton-Hubert, P. Maillé, L. Toutain, “Grouping Sensors Based on Observations in a Massive IoT Deployment,” Link.

Ongoing Work

  • “Performance Driven Portfolio Approach to Generalize Machine Learning for Mixed Integer Programming”, In progress.
  • “Distance Based clustering of the Mixed-Integer Programming Space for Portfolio-Based Machine Learning Generalization”, in collaboration with Baka Junior Cedric Ble, In Progress.
  • “Cutting Plane Selection for Mixed-Integer Linear Programming Using Genetic Programming”, in collaboration with Mathis Da Cunha, Under review.
  • “A Survey On Data Collection Based on Sensors Similarity,” In progress.

PhD Thesis

  • Exploiting Sensor Similarity to Enhance Data Collection in Massive IoT Networks
    Link, YT video