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Melek ÖnenView profile

Professor

EurecomFrance

Melek Önen is a Full Professor at EURECOM's School of Digital Security, specializing in applied cryptography, cloud security, and privacy-preserving technologies. Her work focuses on cybersecurity challenges in federated learning, big data, and IoT systems. She leads research on secure aggregation techniques, privacy-preserving machine learning, and cryptographic protocols for real-world applications like healthcare. Key research interests include federated learning security, homomorphic encryption, and privacy-aware data analytics. She has developed frameworks such as PAPAYA for privacy-preserving data analytics and UPRISE-IoT for IoT privacy solutions. Her projects often address regulatory compliance (e.g., GDPR) in cloud and distributed systems. Recent research trends show a strong focus on mitigating adversarial attacks in distributed systems, optimizing secure computation efficiency, and balancing privacy with functionality in machine learning. Notable contributions include secure biometric authentication protocols ( Nomadic ), fault-tolerant federated learning systems, and privacy-preserving image analysis methods. Önen collaborates on EU-funded initiatives like TREDISEC (trustworthy cloud security) and PAPAYA , emphasizing practical implementations. She actively contributes to open-source tools like Fed-BioMed for federated healthcare AI. Her work bridges theoretical cryptography with real-world deployment challenges.

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Virginie GaltierView profile

Researcher

CentraleSupélecFrance

Virginie Galtier is a Researcher at the Laboratoire Lorrain de Recherche en Informatique et ses Applications (LLLIA), affiliated with the University of Lorraine. Her work focuses on distributed computing systems, fault-tolerant architectures, and co-simulation methodologies. She has contributed to projects involving grid computing, UAV swarm systems, and hybrid co-simulation frameworks such as DACCOSIM and MECSYCO. Her research integrates interdisciplinary approaches combining computer science with fields like financial engineering, robotics, and energy systems. Key technical contributions include: Development of fault-tolerant distributed frameworks using JavaSpace Co-simulation solutions for FMI-compliant systems Resource prediction in heterogeneous active networks Recent work emphasizes application-driven research in cyber-physical systems (CPS), particularly using UAV swarms for safety-critical applications and smart space heating modeling. Galtier collaborates extensively with academia and industry on projects requiring distributed simulation platforms and parallel processing techniques. Her technical contributions span: Parallel algorithms for large-scale grid computing Middleware design for reconfigurable distributed systems Optimization of resource utilization in heterogeneous environments She actively participates in conference proceedings and maintains close ties with the MECSYCO and DACCOSIM co-simulation ecosystems. Current research directions include advancing hybrid co-simulation interoperability and exploring adaptive frameworks for dynamic computing environments.

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Pierre BoutryView profile

Associate Professor

University of StrasbourgFrance

Pierre Boutry is an Associate Professor at the Department of Mathematics and Computer Science of the University of Strasbourg. He is affiliated with the IGG team of the ICube Laboratory. His academic positions include prior roles as a research engineer at Inria and the University of Strasbourg. Education: Ph.D. in Mathematics and Computer Science, University of Strasbourg (2018) M.Sc. in Engineering Mathematics and Computational Science, Chalmers University of Technology (2013) Engineering degree (M.Sc. equivalent), ENSIIE, Strasbourg (2009) Research interests focus on the formalization and foundations of geometry using proof assistants like Coq and Isabelle, cryptography, and automated deduction methods. His work includes contributions to the CV2EC tool for translating cryptographic proofs and formalizing the Poincaré Disc Model for hyperbolic geometry. Key publications include studies on Tarski's axioms, equivalence of parallel postulates, and arithmetization of geometry. He has collaborated with researchers such as Gabriel Braun, Pascal Schreck, and Julien Narboux. Teaching roles span courses on computer-assisted proofs, functional programming, logic, and cryptography. He also co-developed Coq training modules for Inria Academy.

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Rob H. BisselingView profile

Professor

École Normale Supérieure de LyonFrance

Rob H. Bisseling is a Full Professor in Scientific Computing at Utrecht University's Mathematical Institute and a visiting professor at ENS de Lyon's LIP laboratory (March–May 2024). He holds a BSc/MSc in Mathematics (cum laude) from the Catholic University of Nijmegen and a PhD in Theoretical Chemistry from the Hebrew University of Jerusalem. His research focuses on parallel algorithms, sparse matrix/tensor computations, and hypergraph partitioning, with applications in high-performance computing and numerical methods. He has authored a seminal textbook on parallel scientific computing and contributes to pedagogical resources like video lectures. During his visit to LIP, Bisseling collaborates with the ROMA team under Bora Uçar to advance parallel algorithms for large-scale irregular applications. His work includes developing tools like PMondriaan for sparse matrix partitioning and promoting knowledge transfer through lectures on BSP programming. He engages with researchers, PhD students, and engineers at LIP, extending collaborations to Lyon's Institut Camille Jordan and LabPhys for tomographic reconstruction and statistical physics modeling. His academic career includes roles at Royal Dutch Shell and as Utrecht University's Director of Education (2012–2015). He advocates interdisciplinary approaches, bridging computational methods with applied sciences and engineering challenges.

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Martin SchulzView profile

Professor

Grenoble Alps UniversityFrance

Martin Schulz is a Full Professor and Chair for Computer Architecture and Computer Organization at the Technical University of Munich (TUM), where he has been employed since 2017. Previously, he held research positions at Lawrence Livermore National Laboratory (LLNL) and Cornell University. He holds a Doctorate in Computer Science from TUM (2001) and an MS in Computer Science from the University of Illinois Urbana-Champaign (UIUC). His research encompasses: Parallel/distributed systems architecture HPC performance monitoring and optimization Memory hierarchy efficiency Parallel programming models and tools Power/energy-aware computing System-level fault tolerance Schulz leads the MPI Forum standardization body and has authored over 200 peer-reviewed publications. Major scientific recognitions: IEEE/ACM Gordon Bell Prize (2006) for high-performance computing achievements R&D 100 Award (2011) for innovative research

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Roberto Di CosmoView profile

Professor

Grenoble Alps UniversityFrance

Roberto Di Cosmo is a Full Professor of Computer Science at University Paris Diderot since 1999, currently on leave at Inria. He is a prominent researcher and advocate for Free Software, contributing to its adoption since 1998 through seminars, articles, and software. He co-founded the Software Heritage initiative in 2016, aiming to build a universal archive of publicly available source code, and served as director of IRILL, a research structure dedicated to Free and Open Source Software quality, since 2010. His research focuses on theoretical computing, including functional programming, parallel and distributed programming, semantics of programming languages, type systems, rewriting, and linear logic. He has led significant projects like the European Mancoosi research initiative, addressing challenges in static analysis of large software collections. His work with Software Heritage has archived over 3 billion source code files and 700 million commits across 60 million projects. This effort preserves scientific and technological knowledge, enables software reuse, and supports research through a curated archive infrastructure. Roberto Di Cosmo actively bridges academic research with societal impact, emphasizing the role of software in digital culture and advocating for open knowledge sharing.

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Chalvin AntoineView profile

Professor

National Institute of Oriental Languages and CivilizationsFrance

Chalvin Antoine is a University Professor at INALCO (Institut National des Langues et Civilisations Orientales), specializing in Estonian studies within the broader scope of European languages and cultures. He serves as the director of the Estonian Studies Section at INALCO and oversees critical projects such as the Grand dictionnaire estonien-français (GDEF) and the Corpus parallèle estonien-français (CoPEF). His expertise spans Estonian language renewal, bilingual lexicography, and the history of translation in Central and Eastern Europe. Current roles: Head of Estonian Studies at INALCO, Director of GDEF and CoPEF Research themes: Estonian literature, translation history, language pedagogy Research Focus : Chalvin’s work centers on Estonian linguistics, particularly the impact of Johannes Aavik’s language reforms, the construction of national identity through literature, and methodologies for bilingual dictionary compilation. He has extensively analyzed the role of translation in shaping cultural narratives across Europe, with a focus on Baltic regions under Soviet rule. His studies also explore the integration of digital tools in language education and corpus-based grammar exercise generation. Article Trends : His publications from 2013–2023 emphasize computational linguistics applications (e.g., parallel corpora for language teaching), the interplay between French and Estonian cultural identities, and historical accounts of Baltic resistance movements. A recurring theme is the political and cultural implications of language evolution in post-Soviet contexts.

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Jules CHOUQUETView profile

Lecturer

University of OrléansFrance

Jules CHOUQUET is a Lecturer at the University of Orléans , where he works as a researcher at the Orléans Fundamental Computer Science Laboratory (LIFO) and teaches in the Computer Science Department. His research bridges computer science and logic , focusing on: Semantics of languages derived from λ-calculus Functional Reactive Programming (FRP) formalization Linear Logic and Taylor expansion in proof nets Resource calculi and evaluation strategies His publications highlight mechanized formalizations of FRP languages, combinatorial properties of cut elimination in MLL, and finiteness criteria for Taylor expansions under specific evaluation strategies. While no explicit scientific awards are listed, his teaching evaluations reveal a commitment to pedagogy in advanced topics like Logic, Compilation, and Functional Programming across multiple years (2017–2025). He is affiliated with the LIFO laboratory and has presented at major conferences including CSL (2020, 2018), MFPS (2019), and PPS Days (2018).

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Matthieu EXBRAYATView profile

Lecturer

University of OrléansFrance

Matthieu EXBRAYAT is a Lecturer in Computer Science at the University of Orleans, affiliated with the Fundamental Computer Science Laboratory of Orléans (LIFO). He holds significant administrative responsibilities including Vice President for Digital and Educational Innovation at the University of Orleans and previously served as Co-head of the IT department (2019-2021) and Head of the IMIS Computer Science Masters (2015-2021). His research spans multiple domains with a primary focus on Machine Learning applications in data analysis and visualization, time series analysis, and computer vision applications in archaeology. His work demonstrates strong interdisciplinary connections between computer science and archaeological documentation, particularly in ceramic sherd classification using deep learning techniques. Earlier in his career, he contributed significantly to high-performance databases and probabilistic relational learning, especially Markov logic networks. Analysis of his publication history reveals an evolving research trajectory: beginning with database systems and parallel join algorithms in the early 2000s, progressing through Markov logic networks and clustering algorithms in the 2010s, and more recently focusing on machine learning applications in archaeological imaging and programming language analysis. His recent publications show a clear shift toward practical applications of machine learning in diverse domains while maintaining theoretical rigor. Throughout his career, EXBRAYAT has maintained extensive collaborative research networks, with Lionel Martin appearing as a co-author on 20 publications, followed by Guillaume Cleuziou (14), Jacques-Henri Sublemontier (9), and Quang-Thang Dinh (7). These collaborations span multiple research domains and demonstrate his ability to work across disciplinary boundaries. As an educator, he teaches distributed information systems, programming languages, databases, AI/data mining, and geographic information systems. He has also been actively involved in scientific mediation, delivering numerous public lectures on artificial intelligence topics since 2017, including conferences such as "Living in harmony with AIs" (2023) and "Artificial Intelligence: My new toaster is an AI!" (2019). His administrative contributions are substantial, including roles as Communications Correspondent for the Computer Science Disciplinary Center, Facilitator of the DataCenters ComUE Centre Val de Loire reflection group, and Vice President of Digital Resources at the Leonardo da Vinci Confederal University. He also served as LIFO website webmaster for over a decade (2002-2014) and was responsible for the STIC degree program (now IT degree) from 2004-2008.

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Frédéric DABROWSKIView profile

Lecturer

University of OrléansFrance

Frédéric DABROWSKI is a Lecturer with HDR at the University of Orleans, Faculty of Sciences, affiliated with the LIFO laboratory. He serves as head of the Master in Computer Sciences program since 2021 and participates in university governance through the Academic and Research Councils. His research bridges theoretical computer science and practical system verification, with emphasis on reactive and parallel programming models. His core research spans Synchronous Reactive Programming, Concurrency/Parallelism, Program Semantics, Deductive Verification, Static Analysis, Temporal Logic, and Formal Methods mechanized primarily in Coq. He investigates effect systems in functional reactive languages, textual alignment in SPMD programs, and verification techniques for synchronous systems, contributing foundational semantics and analysis tools. Analysis of his 20+ publications reveals consistent focus on applying formal methods to concurrent systems, evolving from BSP/SPMD semantics (2006-2019) toward functional reactive programming with effects and IoT security (2020-2025). Recent work emphasizes Coq-mechanized verification, effect handling, and safe reactive language design for critical embedded systems. DABROWSKI has supervised eight advisees including PhD candidates Terence Clastres (deductive verification), Darine Rammal (IoT reactive programming), and Jordan Ischard (FRP semantics), plus Master's students like Loic Kerbaul. He participates in funded projects: SIOMediC (IoT medical security, 2023-2024), DeSSUF (safe IoT languages, 2022-2023), BSP Program Analysis (Huawei, 2016-2019), and PaPDAS (parallel skeletons, 2011-2014). Based at LIFO, he co-leads the GT CLAP research group and serves on HLPP symposia steering committee, fostering collaborations with INSA Center Val de Loire, University of Maribor, and Japanese institutions to advance high-level parallel programming and verification.

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Valentin BEAUVAISView profile

Research Fellow

University of OrléansFrance

Valentin BEAUVAIS is a Post-doctoral fellow at the University of Orleans , affiliated with the Laboratoire d'Informatique Fondamentale d'Orléans (LIFO). His research focuses on bioinformatics and computational biology, particularly leveraging parallel computing frameworks for genomic data processing. Research Interests Bioinformatics Computational Biology Parallel Computing Genomic data processing Publications His recent work involves parallelizing RNA-Seq analysis workflows using the BioSkel framework, demonstrating expertise in algorithm optimization and distributed system design for high-throughput sequencing data. Laboratory Affiliation Laboratoire d'Informatique Fondamentale d'Orléans (LIFO), Building IIIA, 6 rue Léonard de Vinci, B.P. 6749, 45067 Orléans Cedex 2, France

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Lakhdar SaisView profile

Professor

University of ArtoisFrance

Lakhdar Sais is a Professor of Computer Science at the Centre de Recherche en Informatique de Lens (CRIL), CNRS UMR 8188, at Université d'Artois, Faculty of Jean Perrin Sciences in Lens, France. His research focuses on search and representation problems in Artificial Intelligence, including propositional satisfiability, quantified boolean formulas, constraint programming, knowledge representation and reasoning, data mining, and AI applications in Social and Human Sciences. He has supervised numerous PhD students throughout his career, with recent students including David ING (2021-present) working on migration data knowledge extraction, and previously Ikram NEKKACHE (2021), Sofiane TOUATI (2021), and Kahina BOUCHAMA (2020). His research has been recognized with multiple awards including best paper awards at SAT'11 and ICTAI'2009, and first place in the International SAT 2009 competition. His current research projects include the ANR project HYCI (2023-2026) on Hyper-places, Crises, Migrations and Inequalities, Project ERA (2022-2025) on producing new knowledge in juvenile justice and mental health, and ANR project POSTCRYPTUM (2021-2023) on algebraic cryptanalysis for post-quantum cryptography. He has also edited the Handbook of Parallel Constraint Reasoning (Springer, 2018). Scientific Awards: Best paper award at SAT'11 for 'On freezing and reactivating learnt clauses' Best paper award at ICTAI'2009 for 'Learning for Subsumption' ManySAT - First rank at International SAT 2009 competition (Parallel Track) LySAT - Two bronze medals at International SAT 2009 competition (Sequential Track) ManySAT - First rank at SAT Race 2008 competition Professor Sais has taught numerous courses including Artificial Intelligence, Constraint Programming, Knowledge Representation and Reasoning, Expert Systems, Complexity Theory, Advanced Data Structures, Algorithmics, and Functional Programming. He has served as leader of the inference and decision process research group at CRIL (2002-2013) and as Delegate Director of the CRIL laboratory (2013-2018).

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Panayotis MertikopoulosView profile

Assistant Professor

InriaFrance

Dr. Panayotis Mertikopoulos is a CNRS researcher (chargé de recherche) at the Laboratoire d'Informatique de Grenoble, part of Université Grenoble Alpes. He is affiliated with the Inria/LIG joint team POLARIS and has held visiting positions at UC Berkeley, EPFL, LUISS University of Rome, and NKUA. His academic journey includes completing his PhD at the University of Athens in 2010 on "Stochastic perturbations in game theory and applications to networks" and his Habilitation à Diriger des Recherches (HDR) in 2019 on "Online optimization and learning in games: Theory and Applications". Dr. Mertikopoulos' research spans several interconnected fields at the intersection of mathematics, computer science, and economics. His primary research interests include: Game theory and its applications to network design and resource allocation Online learning algorithms and their convergence properties Optimization methods for non-convex and stochastic problems Applications to machine learning, signal processing, and wireless networks Quantum game theory and quantum computing applications His extensive publication record shows a clear evolution from foundational work in game dynamics and learning theory toward increasingly sophisticated applications in machine learning and network optimization. Recent work demonstrates growing interest in quantum game theory, non-convex optimization, and the mathematical foundations of deep learning. His research consistently bridges theoretical insights with practical applications, particularly in communication networks and distributed systems. Among his notable achievements is receiving the INFORMS best paper award in the network analytics section in 2022 for his work on "Robust power management via learning and game design". His publications have appeared in top venues including NeurIPS, ICML, COLT, IEEE Transactions, and leading economics and operations research journals. Dr. Mertikopoulos has supervised numerous PhD students and postdoctoral researchers, though specific names are not listed in the available information. He has secured research funding for projects at the intersection of game theory, optimization, and machine learning, with applications to network design and resource allocation. His collaborative work spans multiple institutions across Europe and North America. As a member of the POLARIS research team at Inria/LIG, he contributes to a vibrant research environment focused on parallel and distributed systems. His work often intersects with colleagues researching optimization algorithms, machine learning theory, and network science, creating opportunities for cross-disciplinary collaboration on complex computational problems.

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Béatrice CHERRIERView profile

Research Fellow

Polytechnic Institute of ParisFrance

Béatrice CHERRIER is a CNRS Research Fellow affiliated with CREST and an associate professor at École Polytechnique, where she teaches controversies in the history of 20th-century economics, applied economics, and economists' relationship with nature. Her research spans historical and epistemological dimensions of economic thought. Institutional Affiliation: CNRS, CREST, École Polytechnique Academic Role: Research Fellow and Associate Professor Her research interests include: History of applied economics since the 1970s Computational impacts on economic practices Evolving status of women in economics Transformation of macroeconomics and microfoundations JEL codes and disciplinary taxonomy Her scholarly work examines the interplay between economic modeling, tractability, and institutional hierarchies, with projects funded by INET and ERC grants. She has published extensively on Ramsey theory, macroeconometric modeling, and the role of computation in shaping economic disciplines.

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Stéphane ViazzoView profile

Lecturer

Aix-Marseille UniversityFrance

Stéphane Viazzo is a Lecturer with Habilitation to Supervise Research (HDR) at Aix-Marseille Université (AMU), affiliated with the M2P2 Institute (Institute of Mechanics, Civil Engineering and Environmental Sciences). He is a member of the Thermodynamics, Waves, Digital, Interfaces and Combustion research team within the Faculty of Science. His research focuses on fluid dynamics, particularly in rotating systems. Key areas include: Rotating flows: Taylor-Couette systems, Taylor-Couette Poiseuille flows, baroclinic and stratorotational instabilities Direct and large-eddy turbulent simulations, including jet impacting rotating disks Numerical simulations around deformable bodies, with applications to fish swimming Development and application of high-order numerical methods for fluid flow problems Dr. Viazzo's work demonstrates a strong emphasis on computational approaches to understand complex fluid phenomena, particularly those involving rotation, thermal effects, and turbulence. His research often bridges theoretical fluid dynamics with practical engineering applications. His publication record shows consistent contributions to fluid dynamics journals, with recent work focusing on thermal effects in rotating annular systems, stratorotational instabilities, and advanced numerical methods. The articles demonstrate progression from fundamental flow instability studies toward more complex applications involving thermal gradients and deformable boundaries.

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