Dr. François LE GRAND is a Full Professor in the Finance & Accounting department at Rennes School of Business (2022–present). He holds a PhD from Paris School of Economics/EHESS (2007), with prior degrees from Paris School of Economics, ENSAE, and École Polytechnique. His research focuses on risk economics, macroeconomic inequality, and household finance. He has held roles at emlyon business school (2008–2022) and was a visiting scholar at Columbia University. Key research contributions include work on optimal policy design with heterogeneous agents, systemic risk in financial networks, and AI applications in medicine. He serves on editorial boards for journals like Journal of Economic Theory and Econometrica , and has received awards including the Fondation Banque de France Young Economist Prize (2012). His publications span prestigious journals such as Journal of Economic Dynamics and Control , International Economic Review , and Journal of Theoretical Biology . Current research emphasizes dynamic economic models addressing inequality and policy optimization.
Guilherme Afonso Mazanti is an Adjunct Professor at the Mathematics Department of CentraleSupélec and holds a Starting Faculty Position at Inria Saclay–Île-de-France since 2020. He is affiliated with the Laboratory of Signals and Systems (L2S) UMR 8506. His research focuses on control theory, time-delay systems, mean field games, hyperbolic PDEs, and switched systems. Mazanti completed his Ph.D. in Applied Mathematics at École Polytechnique (2016) under Yacine Chitour and Mario Sigalotti, with prior degrees from the University of São Paulo and École Polytechnique. Education: Ph.D. in Applied Mathematics, École Polytechnique (2013–2016) M.Sc. in Applied Mathematics, École Polytechnique (2012–2013) Engineering Degree, École Polytechnique (2009–2012) His research interests emphasize stability analysis, controllability criteria, and optimal control in delay systems and hyperbolic PDEs. Recent work includes decay rate assignment in delay systems, stability of linear hyperbolic systems, and mean field games. He has developed Python toolboxes like YALTAPy for control system analysis and contributed to software such as P3δ for delay dynamics. Collaborations involve institutions like Inria, L2S, and international conferences (IEEE CDC, IFAC TDS). His work bridges theoretical developments and practical applications, addressing challenges in control engineering and mathematical systems theory.
Grégoire Sergeant-Perthuis is an Associate Professor in the Department of Computer Science at Sorbonne Université, affiliated with the LCQB research center. He collaborates with the Inria team Ouragan and focuses on interdisciplinary research at the intersection of geometry, machine learning, and computational biology. His work explores topics like consciousness modeling, statistical mechanics, and agent behavior control using geometric frameworks. Education: PhD in Mathematics from Université Paris Cité (supervisor: Daniel Bennequin), followed by postdoctoral research at INRIA Paris, Université d'Artois, and Université de Genève. He is organizing the 'Geometry Topology and Machine Learning' conference in 2026. Research interests include machine consciousness simulation, hybrid architectures for social intelligence, and categorical approaches to statistical mechanics. He investigates how geometric principles influence curiosity-driven exploration and agent decision-making. Teaching roles: Responsible for courses in bioinformatics, data science, and discrete mathematics at Sorbonne Université's Master's and undergraduate programs. Recent activities include advising a PhD student and developing resources for probabilistic modeling and algorithmic bioinformatics. Labs/Teams: Active member of Inria's Ouragan team, specializing in computational geometry and algebraic software systems.
Guillaume Hanrot is a Professor at ENS Lyon, affiliated with the LIP laboratory and the Arenaire research group (an INRIA project-team). He serves as Vice-President of INRIA's Evaluation Committee and Deputy Director of the Computer Science Department at ENS Lyon. His research focuses on algorithmic number theory, computer arithmetic (including correct rounding and polynomial approximation), and cryptology, particularly lattice algorithms. He contributed to the development of the MPFR library and the PARI system as free software. Previously, he was a part-time associate professor at École Polytechnique until 2005 and an INRIA researcher at INRIA Nancy Grand Est leading the Cacao project until 2009. His work includes seminal contributions to lattice reduction algorithms, Diophantine equations, and effective methods in number theory. Publications span topics like lattice-based cryptography, floating-point arithmetic, and algorithm optimization. He has edited conference proceedings for RNC'7 and ANTS'9. His academic trajectory includes a PhD from Bordeaux 1 (1997) and an habilitation (2005).
Lionel Boillot is an Expert Engineer and holds a PhD in the MAGIQUE-3D project team at Inria, located in Bordeaux, France. His work focuses on High-Performance Computing (HPC), Scientific Computing, and numerical simulation techniques for geophysical applications. He specializes in parallel algorithms, discontinuous Galerkin methods (DGM), and optimizing wave propagation simulations in anisotropic media. His research emphasizes hardware optimization, including vectorization via SIMD and GPU acceleration, and task-based parallel programming models for large-scale simulations. Education: PhD in Applied Mathematics and Parallel Algorithmic Optimization (2014), Université de Pau et des Pays de l'Adour, France. Research Interests: Boillot's work spans HPC architecture, absorbing boundary conditions for elastic waves, and seismic imaging. He has contributed to developing efficient algorithms for TTI (Tilted Transverse Isotropic) media modeling and optimizing simulations using runtime systems like StarPU. His research also explores collaborative tools in geology, such as VR-based seismic analysis (Sismage-VR). Key Projects: Collaborations include work with TOTAL (via MATHIAS symposia), the Depth Imaging Partnership (INRIA-TOTAL), and international workshops like SIAM PP and EAGE. His publications span conferences such as SIAM, SEG, and ECCOMAS, focusing on parallel computing, boundary conditions, and geophysical applications. Affiliations: Active member of the MAGIQUE-3D team, contributing to both theoretical and applied aspects of computational geophysics. His work intersects applied mathematics, computer science, and geoscience to advance computational methods in resource exploration and seismic analysis.
Alexis Meier is a Lecturer in Architecture and Urban Planning at the Ecole Nationale Supérieure d'Architecture de Strasbourg (ENSAS), part of the University of Strasbourg. He is a tenured researcher at the AMUP Laboratory (UR7304) under its first research axis on architectural design and sustainable urban development. He also holds an affiliation with the Gerphau Laboratory (EA 7486) in Paris. His roles include teaching architectural theory, urban planning projects, and supervising research dissertations and doctoral co-supervision. He directed the Master’s program 'Architecture, Structures and Urban Projects' and managed conference programs from 2009 to 2015. His research focuses on architectural design methodologies, sustainable urban systems, computational design, and the historical and theoretical foundations of architecture. Notable publications include a monograph on Peter Eisenman (2019) and contributions to journals like Encyclopædia Universalis and ArchiStorm Review . He has been awarded grants from the Azrieli Architectural Archive and the French Ministry of Culture for publishing initiatives. Professionally, Meier has served as a visiting professor at the University of Montreal’s Faculté d’Aménagement, leading studio workshops in 2010. His work bridges education, research, and practice, emphasizing interdisciplinary approaches to architectural challenges.
Marie-Cécile ALVAREZ-HERAULT is an Associate Professor at Grenoble Institute of Technology, specifically at the National School of Energy, Water and Environment (ENSE3). She leads the Electrical Energy research master's degree and the Power Systems option of the Electrical Energy Engineering program. As a member of the SYREL research team at G2Elab laboratory, she conducts significant research on Smart Grids and electrical distribution networks. Education: Engineering degree from ENSIEG-INP (Grenoble Institute of Technology), 2007 Doctorate in Electrical Engineering from INPG (Institut National Polytechnique de Grenoble), 2009 Dr. ALVAREZ-HERAULT's research focuses on developing future electricity networks that are accessible, economical, and reliable. Her work specifically addresses Smart Grids as key solutions for integrating renewable energies while maintaining grid stability. She investigates new distribution network architectures, stochastic optimization of investment choices, and the impact of flexibility mechanisms on network planning. Her research has practical applications in both urban and rural contexts, with recent work emphasizing rural electrification in developing countries. Her extensive publication record from 2008-2025 demonstrates a clear evolution in focus from traditional distribution network architectures toward innovative solutions for high renewable penetration. Recent work shows strong emphasis on rural electrification, microgrid planning, and managing uncertainty in distribution system planning. Her research spans both AC and DC distribution systems, with case studies in Cambodia and Africa highlighting practical implementations of her theoretical work. Industrial Collaborations: KIC INNOENERGY (Smart Power project, Sweden, 2010-2014) Schneider Electric (patent development, since 2010) GEG (Greenlys Smart Grids demonstrator project, since 2011) ERDF (distribution network chair, since 2013) RWTH Aachen (EVOLVDSO European project, since 2013) Dr. ALVAREZ-HERAULT teaches various courses at ENSE3 covering electrical equipment implementation, network construction, transformers, and advanced smart grid functions. Her teaching directly reflects her research expertise, providing students with practical knowledge of modern power systems challenges and solutions. She is actively involved in the SYREL research team at G2Elab, which focuses on the integration of renewable energies into electrical networks. Her work bridges theoretical research with practical industry applications through multiple ongoing collaborations with major energy companies and participation in European research projects.
Dylan Laplace Mermoud is a Postdoctoral Researcher in the Department of Applied Mathematics at ENSTA Paris. His research focuses on Algebraic Combinatorics, Quantum Computing, and Cooperative Game Theory. He explores topics such as social organization structures through operad theory, core stability in game-theoretic frameworks, and variational quantum algorithms for combinatorial problems. His work bridges abstract algebraic methods with practical applications in network dynamics and optimization. His research interests span the intersection of mathematics and social sciences, particularly in modeling cooperative systems and analyzing network-based decision-making processes. He contributes to both theoretical advancements and computational tools for solving complex combinatorial challenges, including applications in quantum computing and market equilibrium correction. Key research trends in his publications include the algebraic foundations of social configurations, algorithmic approaches to core stability, and quantum algorithm design for permutation-based problems. His work emphasizes interdisciplinary applications, such as optimizing resource allocation in dynamic networks and developing frameworks for understanding steady coalition formation in game-theoretic contexts.
Xavier Pic is a Research Fellow at EURECOM's Data Science department. His work focuses on advancing DNA-based data storage technologies, particularly in the intersection of computer science, bioengineering, and machine learning. He specializes in developing innovative coding algorithms, entropy coders, and neural network architectures for robust image and media storage on synthetic DNA. Key research areas include implicit neural representations, multiple description coding, and compressive autoencoders. His contributions address challenges in long-term data preservation, error resilience, and efficient encoding-decoding processes. Xavier actively explores applications ranging from molecular biology-driven storage solutions to hybrid systems combining classical algorithms (e.g., JPEG) with modern deep learning techniques. His research portfolio reflects interdisciplinary collaboration, bridging computer science with synthetic biology. Prior to his current role, he contributed to text alignment projects using deep learning and dynamic programming for historical document analysis.
Mahfoud TAHLAITI is a Researcher Lecturer at ICAM's Nantes campus, focusing on eco-materials, sustainable construction, and concrete durability. His work emphasizes recycling construction materials, analyzing alkali-silica reactions, and developing biocomposites. He collaborates internationally on projects involving structural health monitoring and material lifecycle assessment. Research interests include eco-materials synthesis, recycled aggregate utilization, and advanced modeling of material behavior. He explores innovative solutions for construction waste management and sustainable infrastructure through interdisciplinary approaches combining material science, environmental engineering, and computational methods. Recent studies highlight his contributions to biocomposite development using plant fibers, structural health monitoring via fiber optic sensors, and enhancing concrete durability through chemical treatments. His work bridges academic research with industrial applications, addressing challenges in construction material sustainability and environmental impact reduction.
Petr Kuznetsov is a Professor at Telecom Paris, Institut Polytechnique de Paris, affiliated with INFRES department. His research focuses on distributed systems, synchronization, algebraic topology in distributed computing, and networked systems. His research interests include designing robust distributed algorithms, failure detection mechanisms, and applying algebraic topology to distributed computing challenges. Recent work explores synchronization in software-defined networking and concurrent data structures. He teaches courses on Distributed Computing, Blockchain fundamentals, Combinatorial Topology, and Operating Systems. He has supervised graduate students and interns through research projects on distributed algorithms and concurrency control.
Gaspard Kemlin is a Senior Lecturer at the Université de Picardie Jules Verne in Amiens, France, where he is part of the LAMFA research laboratory. Prior to this, he served as a post-doctoral researcher in Benjamin Stamm's group at the IANS (University of Stuttgart), contributing to the Sparsity and Singular Structures SFB research center. He completed his PhD in Numerical analysis for Kohn-Sham DFT at CERMICS and the Inria Paris MATHERIALS team, under the supervision of Eric Cancès and Antoine Levitt. He holds an MSc in Mathematics of Modelling from Sorbonne Université (2018–2019), focusing on Numerical analysis and partial differential equations, and an engineering degree in Applied Mathematics and Computer Science from École des Ponts ParisTech (2015–2019). His research interests concentrate on advancing numerical methods for quantum chemistry and computational physics, particularly in the development of efficient algorithms for density functional theory (DFT), error estimation, and basis set optimization. He also emphasizes scientific computing and the use of Julia for high-performance numerical simulations. His work bridges theoretical analysis with practical implementation, addressing challenges like numerical stability and convergence in computational models. Recent publications highlight his contributions to error bounds in periodic Kohn-Sham equations, vortex-tracking simulations for the Gross-Pitaevskii equation, and basis optimization strategies. These efforts aim to improve computational accuracy and efficiency in quantum systems and materials science. His code contributions, such as to the Density Functional ToolKit (DFTK.jl), showcase his focus on open-source tools for quantum chemistry. Scientific Awards: None explicitly mentioned. Advising & Grants: Supervised by Eric Cancès and Antoine Levitt during his PhD, and Benjamin Stamm and Christof Melcher during his postdoc. While no grants or current advisees are listed, his research is supported by institutional affiliations and collaborative projects. Labs/Teams: LAMFA (current) IANS (University of Stuttgart, postdoc) MATHERIALS team (Inria Paris, PhD) CERMICS (PhD)
Dr. Carl Milner is an Assistant Professor at the Ecole Nationale de l'Aviation Civile (ENAC) in Toulouse, France, affiliated with the Telecom Team. His primary role involves lecturing on navigation science and technology, including radio navigation aids, signal processing, positioning algorithms, and GNSS applications in civil aviation. His research focuses on designing integrity monitoring algorithms for current and future multi-constellation, multi-frequency GNSS environments. This work addresses critical challenges in ensuring reliable navigation systems for aviation. No specific awards, grants, or advised students are listed in the provided information. He is part of the Telecom Team at ENAC, contributing to both academic and applied research in navigation technologies.
Julien Lesouple is a Lecturer/Researcher at the Ecole Nationale de l'Aviation Civile (ENAC) within the SIGNAV team. His expertise lies in statistical signal processing applied to navigation systems, particularly focusing on GNSS (Global Navigation Satellite Systems). He holds a Ph.D. in Signal Processing from ISAE-SUPAERO and has conducted postdoctoral research on anomaly detection and passive radar performance. His work addresses challenges in GNSS interference, multipath mitigation, and robust signal processing techniques. Education: Ph.D. in Statistical Signal Processing, Toulouse INP (2019) Eng. Degree in Aeronautical Engineering, ISAE Ensica, Toulouse (2014) Research Interests: Julien's research spans statistical signal processing for navigation, with a focus on GNSS vulnerability analysis, anomaly detection, and robust estimation algorithms. His contributions include methods for multipath mitigation, interference detection (jamming/spoofing), and hypersphere fitting techniques. He also explores AI-driven solutions for satellite monitoring and sensor fusion for navigation systems. Key Research Trends: Recent publications highlight advancements in handling GNSS interference, improving receiver robustness, and integrating machine learning for anomaly detection. His work emphasizes practical applications in aviation and aerospace safety, particularly in GNSS-challenged environments. Labs/Teams: Active member of the SIGNAV team at ENAC, focusing on navigation and signal processing research. Collaborations include work with Thales Alenia Space and institutions like ISAE-SUPAERO.
Assalé Adjé is an Organic Lecturer in the Department of Logistics and Transport Management at the IUT of Perpignan, part of the University of Perpignan Via Domitia. He is affiliated with the Multidisciplinary Modeling and Simulations Laboratory (LAMPS) and teaches in the Master's program in High Performance Computing and Simulation (CHPS). His research focuses on optimization (convex/non-convex/semi-definite), discrete-time dynamical systems, game theory, and formal verification. His work bridges mathematical theory with applications in control systems, stochastic processes, and static program analysis. Publications span optimization algorithms, game theory, and formal methods, emphasizing interdisciplinary approaches to solving complex systems. Recent work includes advancements in Markov Decision Processes under uncertainty and policy iteration techniques for nonlinear systems. His contributions appear in journals like Automatica and conferences such as Hybrid Systems and Verification, Model Checking, and Abstract Interpretation (VMCAI). No scientific awards are explicitly mentioned in the provided materials. Advising and grant information is not detailed, though his research activities suggest involvement in collaborative projects. His lab affiliations include LAMPS and the Logistics department's research initiatives.
