Clément Dutriez is a DevOps-oriented PhD candidate in Computer Science with eight years of engineering experience, specializing in energy-efficient B5G/6G networks for dense IoT deployments. His research blends simulation (OMNeT++), experimental validation, and practical deployments to design scalable, adaptive strategies that reduce energy consumption while preserving reliability and scalability in mMTC scenarios. He has a strong applied background from internships at Inria and IMT Atlantique working on transcompilation, ORM extensions, and RAN energy-saving strategies, and he actively mentors students on projects like NB-IoT monitoring and private 5G deployments. Comfortable moving between low-level protocol analysis and DevOps-driven experimentation, he pairs academic rigor with hands-on implementation of network testbeds. Based in Île-de-France, he is passionate about sustainable connectivity and the pragmatic use of AI to optimize network operation. Notably, his work bridges language/tooling expertise from Pharo/Smalltalk ecosystems to modern networking research, revealing a rare combination of software-engineering craftsmanship and wireless-systems insight.
8 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Université Gustave Eiffel
Master 2 (M2), Informatique, Master 2 (M2), Informatique at Université de Rennes 1
Licence, Computer Science, Licence, Computer Science at Université de Lille - sciences et technologies
Pharo transformation Language is a transformation model language like ALT tefkat.
Contributions:1 review, 167 commits, 40 PRs in 5 months
transformationcrosswordpharolanguage-modelalt
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