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Maxime Raynal

Paris-Saclay, France
Research engineer & PhD student

Research Interests

Biography

I joined the Modeling & Optimization team in Bell Labs in 2017 as an intern, and later in 2020 as a PhD student. My current research involves the creation of an automatic log parsing tool to ease and automatize log analysis.

Featured Quote

Early optimization is the root of all evil (Donald Knuth)

Education

2020: Master degree in Applied Mathematics (Operations Research & Combinatorial Optimization), Université de Grenoble-Alpes, France.

 

Selected articles and publications

2022: A novel pattern-based edit distance for automatic log parsing, 26th Internation Conference on Pattern Recognition (ICPR). Maxime Raynal, Marc-Olivier Buob, Georges Quénot.

2021: Alignement et partitionnement de chaînes de caractères à l'échelle du motif. ALGOTE2021—23èmes Rencontres Francophones sur les Aspects Algorithmiques des Télécommunications. Maxime Raynal, Marc-Olivier Buob, Georges Quénot.

2020: DIG-DAG: stockage et recherche de motifs dans un flux d’événements. 22èmes Rencontres Francophones sur les Aspects Algorithmiques des Télécommunications.Anne Bouillard, Marc-Olivier Buob, Achille Salaün, Maxime Raynal.

2018: : Log Analysis via Space-time Pattern Matching. 14th International Conference on Network and Service Management (CNSM). Anne Bouillard, Marc-Olivier Buob, Maxime Raynal, Achille Salaün.

Patents

2018: DIG-DAG construction for root-cause analysis. European Patent Office - EP3550453A1  https://patents.google.com/patent/EP3550453A1