معرفی
Katia Jaffres-Runser is a full Professor at Institut National Polytechnique de Toulouse (Toulouse INP), affiliated with the ENSEEIHT engineering school and the IRIT laboratory, where she leads the RMESS team. She holds a PhD from INSA Lyon and completed a prestigious Marie Curie postdoctoral fellowship at Stevens Institute of Technology and INSA Lyon.
- PhD: Institut des Sciences Appliquées de Lyon (INSA Lyon), 2005
- M.Sc.: INSA Lyon, 2002
- Diplôme d’Ingénieur en Télécommunications: INSA Lyon, 2002
Her research centers on performance evaluation and optimization of networks, particularly in wireless sensor networks, IoT, embedded systems, and complex networks. She applies advanced techniques like Google Matrix analysis, game theory, and deep reinforcement learning to improve network reliability, synchronization, and efficiency. Her work spans theoretical modeling and practical implementations in avionics, automotive, and industrial systems.
Her recent publications highlight a strong trend in time-sensitive networking (TSN), network synchronization, AI-driven optimization, and complex network analysis using Wikipedia and trade data. She has led major projects like MACACO, GOIA, and the Maison du Quantique Occitanie, focusing on real-time, reliable, and intelligent networking solutions.
Scientific Awards:
- Best Paper Award on Propagation, IEE International Conference on Antennas and Propagation, 2003
- STIC Innovation Prize, 2005
- Marie Curie Outgoing International Fellowship, 2007–2010
- Prime d'Excellence Scientifique (2013–2016)
- PEDR (2017–2021)
- RIPEC C3 (2022–2025)
She has advised PhD students and contributed to national and international scientific service, including committee memberships in CoNRS, HCERES, and ACM N²Women. She has served on award juries and grant review panels. Her leadership extends to being Vice-President for Education at Toulouse INP (2021–2024) and Team Leader of RMESS at IRIT (since 2024).
She is actively involved in research labs and collaborative teams such as:
- RMESS Team, IRIT Laboratory – leading research on network modeling and embedded systems
- MACACO Project – international collaboration on adaptive communication networks
- GOIA and APPLIGOOGLE Projects – applying Google Matrix to AI and complex networks
- IRT EDEN – evaluating determinism in embedded networking
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