Security
Anne Josiane Kouam, Inria Saclay
Distributed systems
Jérémie Decouchant, TU Delft
Networks
Arsenia Chorti, ETIS
System
Julia Lawall, Inria Paris
Bio: Anne Josiane Kouam is an Inria Research Scientist (Chargée de recherche) in the TRiBE project-team at the Inria Saclay centre. She received her PhD from Inria and École Polytechnique in 2023, then held postdoctoral positions at Inria and in the Machine Learning and Security group at TU Berlin. Her research focuses on the digital traces users leave behind and on what artificial intelligence systems can learn from them: which personal information can be inferred, sometimes without people's knowledge, and how to measure, assess and limit the resulting privacy risks. More broadly, her work aims to contribute to AI systems that are safer, more transparent and more respectful of their users. In 2026, she received the L'Oréal-UNESCO For Women in Science France prize.
Abstract. Coming Soon.
Bio: Jérémie Decouchant has been an Assistant Professor in the Data-Intensive Systems group at TU Delft (the Netherlands) since 2021, where he is responsible for the blockchain pillar of the Delft Fintech Lab. He received his PhD from Université Grenoble Alpes in 2015, under the supervision of Sonia Ben Mokhtar and Vivien Quéma, and was then a research associate and research scientist in the CritiX group at SnT, University of Luxembourg, from 2016 to 2021. His research focuses on resilient distributed systems, in particular Byzantine fault-tolerant consensus and blockchains, often combined with trusted execution environments, as well as on privacy-preserving and federated learning systems. He has also worked on privacy-preserving processing of genomic data.
Abstract. Coming Soon.
Bio: Arsenia (Ersi) Chorti is a Professor at ENSEA, in the Information, Communications and Imaging (ICI) group of the ETIS laboratory (CY Cergy Paris Université, ENSEA, CNRS), and a Research Fellow at the Barkhausen Institut in Germany. She received her PhD in Communications and Signal Processing from Imperial College London in 2005. Before joining ENSEA in 2017, she held research and teaching positions at the University of Southampton, University College London, Middlesex University and the University of Essex, and was a Marie Curie Research Fellow at Princeton University and FORTH, Greece. Her research spans wireless communications and the security of 5G and 6G systems, with a particular focus on physical layer security. She is a Senior Member of the IEEE and was an IEEE Distinguished Lecturer in 2024–2025.
Abstract. Coming Soon.
Opening the Box: Diagnosing Operating-System Task-Scheduler Behaviour on Highly Multicore Machines
Bio: Julia Lawall is a senior researcher at Inria Paris. Her research interests include operating systems, software engineering, and software verification. She was one of the original designers of the Coccinelle program matching and transformation system, that she has been maintaining for the last 20 years. Coccinelle has been used in thousands of Linux kernel commits, to find bugs and to perform widespread modifications. In recent years, she has been a program chair of ASE, USENIX ATC, DSN, EuroSys, and FSE. She is currently secretary of EuroSys, a member of the steering committees of EuroSys, ATc, and FSE, and a member of the Linux kernel Technical Advisory Board.
Abstract. Coming Soon.
Final program to be announced.