Security
Anne Josiane Kouam, Inria Saclay
Distributed systems
Jérémie Decouchant, TU Delft
Networks
Arsenia Chorti, ETIS
Control of Distributed Systems
Sophie Cerf, Inria Grenoble
Machine Learning
Ulrich Aïvodji, ÉTS Montréal
System
Julia Lawall, Inria Paris
New this year: a challenge on data re-identification will be held during the winter school!
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.
Bio: Sophie Cerf is a full-time Inria research scientist since 2021. She was first part of the Spirals team of the Inria Center of the University of Lille and joined the Ctrl-A team of the Inria Center of the University of Grenoble Alpes in 2025. Before that, she was postdoc (Mar. 2020 - Sept. 2021 ) at Inria, Grenoble (France) in the Ctrl-A team with Éric Rutten in collaboration with Argonne National Lab, Chicago (USA) and the Argo Project, with an Inria International Lab - JLESC grant. Prior to that, she worked as a research assistant (July - Nov 2018) at IBM Research Center, Zurich (Switzerland) with A/Prof. Lydia Y. Chen. She received my PhD degree (Oct. 2015 - May 2019) from the University of Grenoble-Alpes (France) on the topic of Control Theory for Computing Systems, for which I worked under the supervision of Pr. Nicolas Marchand , Dr. Bogdan Robu from Gipsa-Lab, Grenoble and Pr. Sara Bouchenak from DRIM research team, LIRIS, INSA-Lyon. She received her computer science & control engineering degree in 2015 from Ecole Centrale de Lyon, France, giving master's degree.
Abstract. Coming Soon.
Ulrich Aïvodji, ÉTS Montréal
Bio: Ulrich Aïvodji is an Associate Professor at ÉTS Montréal in the Software and Information Technology Engineering Department. He co-leads the Trustworthy Information Systems Lab (TISL). His research focuses on the development of trustworthy AI and information systems, with particular emphasis on privacy, security, algorithmic fairness, interpretability, and explainability. Before its current position, Ulrich Aïvodji was a postdoctoral researcher at UQAM, working with Sébastien Gambs on machine learning ethics and privacy. He earned my Ph.D. in Computer Science at Université Paul-Sabatier, under the supervision of Marie-José Huguet and Marc-Olivier Killijian. During his Ph.D, Ulrich Aïvodji was affiliated to LAAS-CNRS as a member of both Dependable Computing and Fault Tolerance and Operations Research, Combinatorial Optimization and Constraints research groups.
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.