I am a final-year PhD candidate in Computer Science at Université Gustave Eiffel, working in the LRT team at LIGM.

My research focuses on energy efficiency in B5G/6G networks for IoT, particularly in massive Machine-Type Communications (mMTC). I design and evaluate adaptive communication mechanisms using network simulation (OMNeT++), optimization methods, and machine learning approaches.

Alongside my research, I teach system programming, networking, Python, and assembly, and supervise student projects involving IoT systems and experimental 5G platforms. PhD Candidate in Computer Science

LRT Team — LIGM — Université Gustave Eiffel

Researching energy efficiency in B5G/6G networks applied to IoT. Passionate about AI-driven network optimization, reinforcement learning, and D2D communication. Currently serving as ATER (Teaching & Research Assistant). I am currently seeking a postdoctoral research position starting September 2026 in networked systems, 5G/6G architectures, or AI-assisted network optimization.

Experience

ATER — Teaching & Research Assistant​

Université Gustave Eiffel — LIGM (LRT Team)
Sep 2025 – Present — Champs-sur-Marne

Teaching and project supervision in system programming, networking, Python, and assembly.

In parallel, I contribute to the development of a pedagogical 5G experimentation platform for Master (M2) students:

• Deployment of a private 5G infrastructure for teaching and experimentation
• Design of hands-on laboratory activities on 5G networking and IoT systems
• Development of tools to collect end-to-end performance metrics across the 5G stack
• Supervision of student projects involving network monitoring, IoT connectivity, and experimental evaluation

This platform provides students with practical exposure to real 5G systems and network experimentation workflows.

PhD Researcher — Université Gustave Eiffel​

LRT Team — LIGM
Oct 2022 – Present — Champs-sur-Marne

Research on energy efficiency in B5G/6G IoT networks, with a focus on massive Machine-Type Communications (mMTC).

Main research topics:

• Deep reinforcement learning (Q-Learning, DQN) for adaptive network control
• Metaheuristic optimization for radio resource management
• Device-to-device relay selection and sidelink communication
• Drone-assisted coverage extension
• Network simulation using OMNeT++

Research Intern — ADOPNET Team, IMT Atlantique​

Mar – Sep 2022 — Rennes

Research on energy-saving strategies in Radio Access Networks (RAN).

Activities:

• Literature review on energy-efficient network architectures
• Network simulation and performance evaluation
• Data analysis and optimization studies

Research Intern — RMoD Team, INRIA​

Feb – Jul 2021 — Lille

Project: Transcompilation between object-oriented languages (Pharo/Smalltalk → Python).

Main contributions:

• Design of a meta-model based on the Python AST
• Development of model transformation tools
• Work on language interoperability and meta-modeling

Development Intern — Telna​

May – Aug 2020 — Brest

Development of an extension for an ORM framework in Pharo/Smalltalk.

• Framework extension and optimization
• Object-oriented software development
• Database integration and persistence mechanisms

Development Intern — RMoD Team, INRIA​

Feb – Jul 2019 — Lille

Research internship on software maintenance and GUI framework migration.

• Migration of GUI applications (Spec → Spec2)
• Contributions to the Pharo ecosystem
• Participation in development sprints and bug fixing

Education​

🎓 PhD in Computer Science (2022 – 2026)​

Université Gustave Eiffel — LIGM

Energy Efficiency in B5G/6G Networks Applied to IoT

🎓 Master in Computer Science — Cloud & Networks (2019 – 2022)​

Université de Rennes 1, Rennes

🎓 Bachelor in Computer Science (2016 – 2019)​

Université de Lille 1, Lille

Training & Outreach​

• "Building Pedagogical Activities for Higher Education" — 18h training by Gilberto Ramos-Idunate (INSPE)

Languages​

Certificates​

Interests & Volunteering​

• Mentor at exercism.io (2024 – present)
• Scout Leader — Scouts de France, Halluin (2014 – 2020)
  • 4 years supervising ages 8–11, 4 years with ages 14–17
  • Team organization, event planning, administration
• Hobbies — Cooking, Hiking

Contact​

📧 clement.dutriez@univ-eiffel.fr
🐙 github.com/CafeKrem
🔗 LinkedIn