Distributed databases Professors and Supervisors in France

Thomas PikettyView profile

Professor

School for Advanced Studies in the Social SciencesFrance

Thomas Piketty is a Professor of Economics and Economic History at the Paris School of Economics and Director of Studies at the School for Advanced Studies in the Social Sciences (EHESS) . He co-directs the World Inequality Lab and World Inequality Database (WID.world), and is a key figure in the Manifesto for the Democratization of Europe . Education: Baccalaureate (1987, Descartes High School, Tours); Higher Mathematics (Lycée Louis-Le-Grand, Paris, 1987-1989); Ecole Normale Supérieure (ENS Ulm, 1989-1993); Doctorate at EHESS and London School of Economics (1991-1993). His research focuses on the historical evolution of wealth and income inequality , optimal taxation , and the political economy of inequality . He emphasizes the role of political, social, and fiscal institutions in shaping inequality dynamics, challenging Kuznets' hypothesis. His work spans empirical data analysis (e.g., World Wealth and Income Database ), theoretical models, and policy recommendations. Key contributions include Capital in the Twenty-First Century (2013), Capital and Ideology (2019), and A Brief History of Equality (2021). He has advised on tax policy and redistribution , notably in Pour une révolution fiscale (2011). Scientific Awards: Yrjö Jahnsson Prize (2013) CNRS Bronze Medal (2001) AFSE Thesis Prize (1993) He has supervised numerous PhD and Master’s theses on inequality, taxation, and economic history, including works by Gabrielle Zucman, Lucas Chancel, and Clara Martinez-Toledano. At EHESS and Paris School of Economics, he teaches Public Economics , Optimal Taxation , and Economic History . He is affiliated with research teams such as the World Inequality Lab , Paris-Jourdan Federation , and François-Simiand Center for Economic and Social History . His media engagement includes columns for Le Monde (2015-) and Libération (1998-2015).

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Daniel GilbertView profile

Professor

University of Franche-Comté (UFC)France

Daniel Gilbert is a Professor at Université de Franche-Comté, affiliated with the Chrono-environnement UMR 6249 laboratory in Montbéliard, France. His research bridges ecological restoration of peatlands with economic frameworks for carbon neutrality, focusing on integrating peatland restoration into France's 2050 carbon reduction roadmap. He collaborates with interdisciplinary teams and stakeholders to address land fragmentation, agricultural use, and restoration costs in temperate peatland systems. Research Expertise: Ecology, Microbial Communities, Peatland Restoration, Carbon Neutrality, Atmospheric Pollution, Climate Change Mitigation Key Collaborations: Alexandre Buttler (Swiss Federal Institute for Forest, Snow and Landscape Research), Nadine Bernard (Université de Franche-Comté), Vincent Jassey (Université de Franche-Comté) Leadership Roles: Deputy Director of the Jura Arc Workshop Zone (GT OBSERVATORIES eLTER JURA), co-Principal Investigator of the Terra Forma Equipex project His recent publications (2018–2025) emphasize peatland hydrology, microbial responses to climate change, carbon flux modeling, and economic analyses of restoration strategies. Highlights include cost-effective geomatic approaches for PM10 dispersion, insights into testate amoebae as pollution bioindicators, and ozone impacts on peatland microbial networks. His work also explores paleoenvironmental reconstructions using lake sediments and testate amoebae assemblages. Daniel Gilbert mentors PhD student Lise Pinault and contributes to interdisciplinary initiatives like the French long-term socio-ecological research network (LTER) and the OZCAR Critical Zone Observatories program. His research spans experimental studies in Sphagnum peatlands, fieldwork in the Jura Mountains, and policy-relevant analyses for carbon offset projects. Current projects integrate economic modeling with ecological data to optimize peatland conservation strategies under climate constraints.

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Benedetta Giulia FranzelliView profile

Researcher

CentraleSupélecFrance

Benedetta Giulia Franzelli is a CNRS Researcher (Chargée de recherche) at the EM2C laboratory , affiliated with CentraleSupélec and Université Paris-Saclay . She holds a Visiting Researcher position at the CRECK Modeling Group, Politecnico di Milano . Her research focuses on nanoparticle production in turbulent flames , combining theoretical , experimental , and numerical approaches to address challenges in soot formation, flame synthesis of metal oxides, and combustion modeling. PhD in Energy and Transfer, CERFACS/INPT Toulouse (2011) Postdoctoral Fellow, Stanford University (2013-2014) Master in Numerical Fluid Dynamics, Politecnico di Milano (2007) Her work spans combustion science , turbulent reactive flows , and nanoparticle synthesis , with recent studies on TiO₂ nanoparticle characterization , soot-LII diagnostics , and LES modeling of swirled flames . She coordinates the European Cost action Cyber's Young Researcher and Gender Balance committee and chairs the 2024 Bernard Lewis Fellowship committee. Scientific Awards : ERC Starting Grant (SOTUF project, 2017-2023) CNRS Bronze Medal (2018) Zonta International Amelia Earhart Fellowship (2009-2010) Prix Aerospace Valley (2012) Bernard Lewis Fellowship (2014)

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Laure PetrucciView profile

Professor

University of Sorbonne Paris NordFrance

Laure Petrucci is a Professor at Sorbonne Paris Nord University, affiliated with the Networks and Telecommunications Department and the LoVe (Logic and Verification) team at LIPN (Paris Nord Computer Science Laboratory, CNRS UMR 7030). She also serves as Deputy Scientific Director of CNRS for Normandy. Her research specializes in formal verification of concurrent systems using Petri nets and parameterized models, with a focus on combating state-space explosion through distributed algorithms. Her work spans formal methods , distributed systems , and model checking , emphasizing practical applications in network verification and synthesis. Recent publications explore controller synthesis for timed games, probabilistic model checking, and SMT-based analysis of Petri nets, reflecting a consistent focus on scalable verification techniques. She teaches undergraduate and master's courses in networks, databases, and programming at IUT Villetaneuse (France) and the University of Science and Technology of Hanoi (Vietnam).

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Julie SchollerView profile

Associate Professor

University of ToursFrance

Julie Scholler serves as an Associate Professor of Mathematics at the University of Tours, working within the Economic Sciences Section of the UFR of Law, Economics and Social Sciences. She holds the position of Head of the first year of the MÉcEn (Master's in Business Economist) program and has been actively teaching since at least 2013 across various levels of the economics curriculum. Her research interests focus on advanced statistical methodologies and data science applications, particularly in exploratory data analysis, factor analysis, unsupervised classification, and machine learning techniques. She specializes in applying these methods using R programming, with expertise in RMarkdown, RShiny, and data visualization techniques. Her work spans from fundamental statistical theory to practical Big Data solutions with R optimization. Analysis of her recent publications reveals a strong emphasis on classification methods, particularly boosting algorithms, random forests, and ensemble methods. Her work demonstrates expertise in prediction error estimation, with applications across various domains including economics, social sciences, and business analytics. She maintains a consistent focus on practical implementation of statistical methods using R, with particular attention to reproducible research practices through RMarkdown. Professor Scholler has developed extensive teaching materials covering statistics, data analysis, and R programming across multiple academic levels. Her courses include Descriptive Statistics, Inferential Statistics, Bayesian Statistics, Dynamical Systems, and specialized topics in Data Mining and Big Data. She appears to be actively involved in student projects and practical applications of statistical methods, as evidenced by student-produced dashboards on topics ranging from world happiness to Covid vaccination data.

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Gaël Le MahecView profile

Lecturer

University of Picardie Jules VerneFrance

Gaël Le Mahec serves as a Lecturer at the University of Picardie Jules Verne within the Networks and Data Domain, where he leads research activities in the REDO group. His office is located in room 308 with direct phone access (5912). As an active researcher in data privacy, he maintains strong contributions to both theoretical frameworks and practical implementations of anonymization technologies. Dr. Le Mahec's research program centers on privacy-preserving data publishing , with particular expertise in k-anonymity variants (l-diversity, t-closeness) and distributed anonymization systems . His work addresses the critical challenge of maintaining analytical utility while ensuring robust privacy guarantees, especially for large-scale datasets. Current projects focus on optimizing privacy-utility tradeoffs in distributed memory environments and developing novel metrics for information loss quantification. The REDO research group under his involvement has established itself as a significant contributor to data privacy literature, with consistent publications in top venues including IEEE Big Data and Transactions on Data Privacy. Their research demonstrates strong practical relevance to industry challenges in GDPR compliance and secure data sharing. Prospective collaborators should note the group's emphasis on implementable solutions that bridge theoretical privacy models with real-world system constraints. Dr. Le Mahec maintains active research supervision through the REDO group, with particular opportunities for students interested in distributed systems security and privacy engineering. His publication trajectory since 2020 indicates sustained research productivity with increasing focus on scalable implementations for enterprise environments. The group's work shows promising direction toward practical privacy solutions for big data ecosystems.

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Marie-Christine ROUSSETView profile

Professor

ENSAE ParisFrance

Marie-Christine ROUSSET is a Professor of Computer Science at the University of Grenoble Alpes (UGA) in France, where she is a member of the LIG (Laboratoire d'Informatique de Grenoble) in the SLIDE group. Previously affiliated with Paris-Saclay (LRI), she has established herself as a leading researcher in Knowledge Representation and Information Integration. She holds the distinguished position of Senior member of the Institut Universitaire de France (IUF) (2011-2016, renewed for 2016-2021) and serves as co-responsible for the chair Explainable and Responsible AI within MIAI Grenoble Alpes. Her research focuses on ontology-based data access, logic-based mediation between distributed data sources, query rewriting using views, data linkage, and distributed reasoning for the Semantic Web. She skillfully combines artificial intelligence and database techniques to address complex information integration challenges, with applications spanning biomedical informatics, educational technology, and trustworthy AI. Her work demonstrates consistent innovation from foundational research to practical implementations, as evidenced by her co-authorship of the book 'Web Data Management' published by Cambridge University Press. Professor ROUSSET's recent publications (2019-2022) reveal a growing emphasis on data privacy, RDF graph anonymization, and interactive ontology engineering, while maintaining her strong contributions to semantic web technologies and knowledge representation. Her research shows increasing attention to trustworthy AI concerns, aligning with her leadership roles in relevant projects. Scientific Recognition Senior member of Institut Universitaire de France (IUF) (2011-2016, renewed for 2016-2021) Junior member of Institut Universitaire de France (IUF) from 1997 to 2002 Chevalier de l'Ordre National du Merite (July 11, 2011) EurAI Fellow (nominated ECCAI Fellow in 2005) Best Paper Award at AAAI'96 for 'Verification of Knowledge Bases based on Containment Checking' Professor ROUSSET maintains an active role in the scientific community through editorial work and organizational leadership. She serves on the Editorial Board of Communications of the ACM (CACM) and has held significant roles including PC chair of EGC 2019, Workshops co-Chair of WWW 2018, and Area Chair of IJCAI 2017. Her consistent service on program committees of major international conferences demonstrates her standing in the field. Her laboratory, the SLIDE group within LIG, focuses on semantic web technologies, knowledge representation, and data integration. The group maintains strong connections with the international research community and participates in collaborative projects addressing cutting-edge challenges in artificial intelligence and data management, with particular emphasis on trustworthy and explainable AI systems.

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Luigi SantocanaleView profile

Professor

University of ArtoisFrance

Luigi Santocanale is a Full Professor in Computer Science at Aix-Marseille University, affiliated with the Laboratoire d'Informatique et Systèmes (LIS), UMR CNRS 7020, and member of the LSC research group. He is responsible for the 3rd year of the Licence Informatique, parcours Informatique Mathématique at Aix-Marseille University. His academic career includes previous affiliations with LIRICA@LIS, MOVE@LIF, LABRI, CPSC@UCalgary, BRICS, and UQAM. Professor Santocanale's research spans three interconnected domains: Order Theory, Category Theory and Universal Algebra (including Lattice theory, Topos Theory, and Enriched Category Theory); Combinatorics (focusing on Ordered sets, species theory, and game theory); and Logic in Computer Science (covering Intuitionistic logic, mu-calculus, decision problems for free algebraic objects, semantics of programming languages, and algebraic structures of distributed computing). His current research directions include lattice theory applications to databases, logics with fixed points, ordered sets in combinatorics, and circular proofs in mu-bicomplete categories. He has served as project coordinator for the ANR SOAPDC (Order Structures and Applications to Distributed, Parallel and Concurrent Computing) project and has been involved in numerous other research initiatives including LAMBDACOMB, RECIPROG, TICAMORE, MFL, TRECOLOCOCO, CHOCO, and TAGADA. Professor Santocanale is actively engaged with the academic community as a Program Committee member for major conferences including RAMiCS 2024 and TACL 2024. His significant contributions include: Decidability of the equational theory of relational lattices with applications to database query optimization Characterization of closure ordinals in modal mu-calculus Work on equational theories of permutation lattices (Permutohedra) and associahedra Development of circular proof systems for mu-bicomplete categories Professor Santocanale has organized and participated in the Marseille Lattice Working Group and has collaborated extensively with researchers including Fred Wehrung, M. J. Gouveia, and Nathalie Caspard. His work bridges theoretical computer science, mathematical logic, and algebraic structures, with implications for programming language semantics and distributed computing.

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Cecile CouhardeView profile

Professor

Paris Nanterre UniversityFrance

Cécile Couharde is a Professor of Economics at the University of Paris Nanterre, where she has been teaching since November 2010. She is affiliated with the Faculty of Economics, Management, Mathematics, and Computer Science (UFR SEGMI) and the Department of Economics, as well as the EconomiX research unit. Her leadership roles include Director of the Department of Economics (2012-2014), head of the Master's Degree in Applied Economics since 2011, and since 2021, heading the doctoral school of Economics, Organizations, Society at Paris Nanterre University. Professor Couharde's research focuses on international macroeconomics, finance, and climate economics. Her work explores the complex relationships between exchange rate dynamics, monetary policy, and economic growth, with particular attention to developing countries and regional monetary unions. She has made significant contributions to understanding how climate risks affect economic outcomes, especially in agricultural-dependent economies. Her research employs advanced econometric techniques, including panel smooth transition regression models and time-varying parameter specifications, to uncover nonlinear relationships and threshold effects in economic data. Through her publications, Professor Couharde has established herself as a leading expert in exchange rate economics, with particular expertise in currency misalignments, monetary integration, and the economics of climate change. Her work bridges theoretical frameworks with empirical evidence, providing policymakers with actionable insights on monetary policy, climate adaptation strategies, and international economic cooperation. She is a dedicated mentor to the next generation of economists, currently supervising four doctoral students working on topics related to climate migration, agricultural commodity markets, monetary policy, and macroeconomic fluctuations. Her teaching spans both undergraduate and graduate levels, with courses in open macroeconomics, macroeconomic modeling, and advanced international macroeconomics. Professor Couharde is actively involved in research teams and collaborations, particularly within the EconomiX research unit where she previously headed the International Macroeconomics, Banking, and Financial Econometrics research area. Her work often involves international collaborations with researchers from various institutions, reflecting the global nature of her research interests.

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Brice ChardinView profile

Associate Professor

National Graduate School of Mechanics and AerotechnicsFrance

Brice Chardin is an Associate Professor in Data Engineering at ISAE-ENSMA since 2013, affiliated with the LIAS (Laboratoire d'Ingénierie des Applications de la Connaissance et des Systèmes) Data and Model Engineering team. His work bridges academic research and industrial applications, focusing on data management solutions for critical systems. His research spans clustering algorithms under dissimilarity constraints , RDF query relaxation for explaining empty/overabundant results, pattern mining through the RQL language, and energy data management . Key projects include Chronos (a NoSQL system for industrial sensor data) and collaborations with energy companies SRD and Nexeya for predictive consumption analysis. Recent publications (2021-2024) emphasize constrained clustering techniques and cooperative query processing for RDF knowledge bases, revealing a strong trend toward practical solutions for industrial data challenges. His work integrates machine learning with database theory to address real-world data imperfections. PhD in Computer Science from INSA Lyon (2011) Postdoctoral position at LIRIS (2012-2013) on ANR DAG project Specialized in industrial data management since 2011 EDF collaboration Chardin actively supervises academic projects including drone simulation with Ardupilot and Smart Data mining initiatives. His industrial partnerships focus on energy sector applications, particularly predictive analysis for electricity distribution and storage systems. Current work involves developing clustering algorithms with error bounds and query relaxation frameworks for semantic web technologies.

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Philippe JarnouxView profile

Professor

University of Southern BrittanyFrance

Philippe Jarnoux serves as Professor of Modern History at the University of Brest, affiliated with the Breton and Celtic Research Center (CRBC, EA 4451). His academic career spans decades of research on 16th-18th century Brittany, focusing on social and political structures, elite formations, and maritime/port communities. As former Director of CRBC (2012-2016) and current member of multiple research axes ( Instruments and figures of identity , Creation to reuse , Maritime consciousness ), he maintains active leadership in French historical scholarship. His research interests encompass Social and Political History of Early Modern France, with specialized expertise in History of Elites, Rural Communities, and Maritime/Coastal Areas. Jarnoux examines how power structures operated across Brittany's urban centers, rural landscapes, and port zones, analyzing social mobility through land ownership, municipal governance, and maritime networks. His methodological approach combines prosopography, archival analysis, and spatial history to reconstruct pre-industrial societies. Analysis of his 15 most recent publications reveals consistent focus on Atlantic Europe's socio-economic structures, with increasing attention to maritime networks and cross-regional comparisons since 2015. His work demonstrates how local communities navigated state centralization, economic shifts, and cultural transformations during France's Ancien Régime period. Jarnoux has supervised numerous doctoral candidates including Olivier Michel (2022), Isabelle Guegan (2018), and current students Christophe Andre and Lucas Bosseboeuf. His administrative roles include directing two Master's programs (Cultures/Civilizations/Societies; Performing Arts), serving on the National Scientific Research Committee (2016-2021), and representing University of Brest at Presses Universitaires de Rennes. As co-organizer of research colloquia on Church property (2020-2021) and member of GIS HSM (History and Science of the Sea), he actively bridges academic research with cultural institutions including the Musée de Bretagne's Scientific Committee. His digital humanities projects include online databases of Brest's penal colony records (2017-2020) in collaboration with SHD Brest.

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Yassine OuhammouView profile

Associate Professor

National Graduate School of Mechanics and AerotechnicsFrance

Yassine Ouhammou is an Associate Professor in computer science at École Nationale Supérieure de Mécanique et d'Aérotechnique (ENSMA), where he is a member of the "Real-Time and Embedded Systems" research team at LIAS laboratory. His work focuses on critical real-time embedded systems with applications in avionics, drones, and control command systems. His research interests include: Software architectures for critical real-time embedded systems Design and analysis of critical real-time systems regarding their temporal performances Model-based design using domain specific languages (MoSaRT, AADL, Capella, Time4Sys) Real-time scheduling and dimensioning Knowledge repositories for expertise capitalization, reuse and reproducibility Collaborative engineering for complex systems design Model-driven engineering and formal methods Dr. Ouhammou's publication record shows consistent contributions to real-time systems, embedded architectures, and model-based approaches. His recent work demonstrates increasing emphasis on drone technology and avionic applications, with numerous collaborations on autopilot design, scheduling optimization, and verification methodologies. His research bridges theoretical computer science with practical aerospace engineering challenges, addressing safety-critical aspects of embedded systems. Professional service includes: PC Member of MEDES 2020, INISTA 2020, WIMS, SADASC 2020 PC Chair of DETECT 2019 General Co-Chair of RTNS 2018 PC Member of multiple international conferences since 2017 Dr. Ouhammou collaborates extensively with researchers in the field of real-time systems, particularly with Emmanuel Grolleau and other members of the LIAS laboratory. His work often involves interdisciplinary teams addressing complex challenges in aerospace and embedded systems engineering, with practical applications in drone technology and avionic systems.

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