François Bodin

François Bodin is a Professor at University of Rennes 1, actively involved in research at IRISA (Institut de Recherche en Informatique et Systèmes Aléatoires). He leads the Logica research team which focuses on data logistics—developing methods to organize distributed processing chains while considering technical performance, environmental sustainability, data governance, and long-term viability. His work spans multiple interdisciplinary projects including AQMO for air quality monitoring, RUDI for metropolitan open data platforms, and Numpex for Exascale computing.

His research interests primarily focus on:

• Data Logistics and Distributed Processing Systems
• Exascale and High Performance Computing
• Sustainable and Energy-Efficient Computing Practices
• Open Data Platforms for Smart City Applications
• Parallel Programming and Software Optimization

Professor Bodin's recent work demonstrates a strong commitment to reconciling digital performance with environmental sustainability. His projects like AQMO (air quality monitoring) and RUDI (metropolitan data platform) showcase practical applications of his research in urban environments. The Numpex project represents his leadership in preparing French scientific and industrial applications for exascale computing capabilities. Notably, he has made a personal commitment to environmental sustainability by declaring 'For environmental reasons, starting the 01/01/2020 I will not take the plane anymore.'

His scientific contributions span several key areas:

• Exascale computing preparation and software development
• Metropolitan open data platforms and governance
• Energy-efficient computing practices
• Astronomical data processing through the ECLAT laboratory

Professor Bodin actively participates in research recruitment and collaborates with various institutions including CNRS, Inria, and industry partners to advance his field. His work bridges theoretical computer science with practical urban and environmental applications, making significant contributions to both academic research and real-world problem solving.