Marc-Olivier is a theoretical physicist and holds the Junior Professor Chair (Professeur Junior) at Inria Saclay, where he leads the PhIQuS research team in quantum information science at the interface between physics and computer science.

His research focuses on quantum correlations, quantum networks, distributed quantum computing, and device-independent quantum information processing, with a particular emphasis on noncommutative polynomial optimization and foundational aspects of quantum theory.

Before joining Inria Saclay in 2023, he was a Marie Curie fellow and Early Postdoc.Mobility fellow at ICFO (Barcelona) and conducted research stays including at ETH Zürich. He completed his PhD under the supervision of Nicolas Gisin at the University of Geneva.

Aslan is an information theorist and a professor at Télécom Paris, part of the Institut Polytechnique de Paris, where he heads the Mathematics of Information and Communications (MIC) group.

He received his Master’s degree in physics and his Ph.D. from EPFL in 2000 and 2005, respectively. He completed a postdoctoral appointment at MIT between 2005 and 2008 before joining Télécom Paris.

In 2009, he was awarded a Chair of Excellence by the French National Research Agency. He spent the 2014–2015 academic year on sabbatical at Stanford University. In 2016, he co-organized the thematic program “Nexus of Information and Computation Theories” at the Institut Henri Poincaré. He served as an Associate Editor for the IEEE Transactions on Information Theory from 2016 to 2019 and from 2021 to 2024.

Shamisa recently defended his PhD at the Institut de Recherche en Informatique Fondamentale (IRIF, CNRS, Université Paris Cité) in the Algorithms and Complexity team, under the supervision of Adrian Vladu. Her research interests lie in combinatorial optimization and approximation algorithms, with a focus on submodular maximization, submodular welfare, and facility location problems.

As of January 2026, she joined Télécom SudParis as a Postdoctoral Researcher in Tijani Chahed’s team.

Shurok is a PhD student at Télécom SudParis, Institut Polytechnique de Paris. She obtained an engineering degree in computer engineering from Tishreen University and a Master’s degree in Intelligent Systems and Applications from Université Gustave Eiffel.

Her research focuses on the use of reinforcement learning and AI-driven programmability to improve network security, with a particular emphasis on QoS-preserving DDoS attack mitigation in software-defined and future networks.

Yue is a PhD student at Télécom SudParis. He obtained his engineering degree from Centrale Méditerranée in applied mathematics for climate and environmental studies, along with a parallel master’s degree in statistics.

His research focuses on multi-agent decision making and stochastic modeling for sustainable edge computing infrastructures, with applications to energy-efficient and environmentally responsible 6G networks.

Amirmehdi is a PhD student at Télécom Paris (Institut Polytechnique de Paris), working at the intersection of information theory and machine learning.

His research explores the connection between large language models and lossless data compression, with a focus on adaptive and online compression methods, transformer-based architectures, and the theoretical limits linking model complexity and compression efficiency.

He is particularly interested in moving beyond classical entropy coding by investigating AI-driven compression schemes inspired by modern LLMs. Amirmehdi received his Bachelor’s degree in Electrical Engineering from Sharif University of Technology and completed his Master’s (M2) at Télécom Paris in the MICAS program (Master in Information Processing: Machine Learning, Communications, and Security).

Ali earned his B.Sc. in Electrical Engineering (Telecommunications) from K. N. Toosi University of Technology, Tehran (2014–2018, with honors), and his M.Sc. in Electrical Engineering (Secure Telecommunications & Cryptography) from Sharif University of Technology, Tehran (2018–2020, with high distinction).

He received his Ph.D. in Telecommunications Systems from Sorbonne Université (EDITE) (2021–2024), with research carried out at EURECOM under Prof. Petros Elia. His Ph.D. thesis, “Multi-User Linearly-Decomposable Distributed Computing,” was shortlisted (semi-finalist) for the 2025 “Prix solennels” of the Chancellerie de Paris (Sorbonne Université), and he received the 2nd Prize of the EDITE Best Thesis Competition (2025).

His research focuses on the fundamental limits of distributed computing and learning algorithms, and on information-theoretic analysis of aeronautical and satellite communication systems, with emphasis on communication–computation trade-offs, coding-theoretic methods, and reliability/latency constraints.

He also serves as a reviewer for IEEE Transactions on Information Theory, IEEE Transactions on Communications, and IEEE/ACM Transactions on Networking, as well as major conferences including the IEEE International Symposium on Information Theory (ISIT) and the IEEE Information Theory Workshop (ITW). At IPSA, he teaches courses related to communication systems, digital signal processing, information theory, satellite communications, and distributed/networked systems, and supervises undergraduate and master-level student projects.