Current Areas

Machine Learning for Mixed-Integer Linear Programming

Post doc in ML for exact solvers, with a focus on:

  • Human-readable ML strategies for Solver component improvement.
  • MILP instance similarity and portfolio approaches for Generalization of ML across heterogeneous instances.
  • Mathematical modelling of networking and industrial problems.

Sensor Networks & IoT

PhD research on data collection in Massive IoT networks, with a focus on:

  • Sensor similarity based on sensing transmissions.
  • Energy-efficient monitoring through scheduling and redundancy reduction in communications.

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. HAL

  • 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. HAL

Preprint

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

Ongoing Work

  • “Adaptive Lower Bound Evaluation for the Permutation Flowshop Scheduling Problem”, in collaboration with Alisa Vorokhta. Under review.

  • “SkyHOSTop: Cost‑Aware Multi‑Cloud Streaming Overlay Optimization”, in collaboration with Muhammad Arslan Tariq. Under review.

  • “Cutting Plane Selection for Mixed-Integer Linear Programming Using Genetic Programming,” in collaboration with Mathis Da Cunha. Under review.

  • “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 Blé. In progress.

PhD Thesis

Exploiting Sensor Similarity to Enhance Data Collection in Massive IoT Networks

Thesis on HAL · PhD defense video

Mentors

My PhD research was conducted within the SRCD department of IMT Atlantique and IRISA, under the supervision of:

My current postdoctoral research is conducted within the PCOG group at the University of Luxembourg, under the mentorship of: