Alain Cournier

Alain Cournier is a University Professor at the University of Picardy Jules Verne (UPJV), France, affiliated with the ALCO research unit (UR 4290) focusing on Algorithmic and Complexity. His office is located in room 401 with contact phone 5913. He maintains an active research profile with continuous publications from 1992 through 2024, primarily in distributed computing and theoretical computer science.

Professor Cournier's research centers on fault-tolerant distributed algorithms, specializing in self-stabilizing systems for networked environments. His core contributions span leader election protocols, synchronous unison mechanisms, and message forwarding algorithms in directed and undirected topologies. He pioneered work in snap-stabilization and polynomial-time convergence guarantees, with recent focus on directed network challenges. Earlier career phases included modular graph decomposition algorithms (1990s), while 2018-2019 saw exploration of autoencoder neural networks for anomaly detection in connected buildings.

Analysis of his 15 most recent publications reveals strong continuity in distributed algorithms research (12/15 papers), with 2023-2024 works exclusively addressing self-stabilization in directed networks using innovative metaphors like Roman infrastructure. The 2018-2019 neural network studies represent a brief interdisciplinary expansion before returning to core theoretical work. His publications consistently appear in premier venues including PODC, ICDCN, and Theoretical Computer Science, often collaborating with Altisen, Defalque, and Devismes.

He operates within the ALCO research unit (UR 4290) at UPJV, which serves as the institutional home for his algorithmic complexity research. This unit facilitates collaboration across the French distributed computing community, evidenced by regular AlgoTel conference participation. While specific lab structures aren't documented, his publication patterns indicate sustained theoretical work with periodic applied explorations in cybersecurity contexts.