جست‌وجوی استاد و پژوهشگر

Aikaterini TZOMPANAKIمشاهده پروفایل

استادیار

• Data Privacy
• Database Systems
• Query Optimization
• +۶ مورد دیگر

Aikaterini TZOMPANAKI is an Assistant Professor and associated member of the ACMES team at Télécom SudParis. Her research focuses on database systems, data privacy, query optimization, and provenance analysis. She has contributed to topics such as differential privacy, SQL debugging, and explainability in data streaming and collaborative filtering. Education: PhD in Database Systems from Université Paris Saclay (2015), titled 'Missing Answers: Debugging and Repairing Queries.' Research Interests: Privacy-preserving data publishing and differential privacy for time series. Why-Not Questions and provenance-based explanations for queries and collaborative systems. SQL query refinement and automatic debugging techniques. Pattern matching and visualization of regular expressions. Key Trends in Articles: Focus on privacy and security in dynamic data environments. Advancement of query explainability and provenance systems. Integration of machine learning in database systems and recommender systems. Awards: No scientific awards explicitly mentioned. Grants & Advising: No grants or student advising details provided in the text. She is affiliated with the SAMOVAR research laboratory at Télécom SudParis.

• Formal Methods
• Graph Databases
• Database Theory
• +۴ مورد دیگر

Ştefania-Gabriela Dumbravă is an Associate Professor in Computer Science at the École Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE), part of Institut Polytechnique de Paris. She leads the ACMES team at Samovar Laboratory (Télécom SudParis) and participates in international working groups including the Property Graph Schema Working Group and European Research Network on Formal Proofs. Education: PhD in Computer Science, Université Paris-Sud (2016) MSc in Computer Science, Jacobs University Bremen (2012) BSc in Mathematics, Jacobs University Bremen (2010) Research Focus: Her work centers on formal methods for designing and verifying graph database algorithms, with emphasis on: certified database engines, property graph schemas, threshold queries, progressive querying techniques, and knowledge graph evolution. She integrates theorem proving (Coq/Isabelle) with practical database applications. Publication Trends: Her recent works demonstrate strong focus on graph database foundations (schemas, query processing) and practical verification techniques. Publications frequently appear in top-tier venues (VLDB, SIGMOD, ICDE) and emphasize both theoretical rigor and real-world applications in areas like bioinformatics, transportation, and networking. Awards & Honors: EASST Best Software Science Paper (ICGT 2025) ICDE/SIGMOD Distinguished Reviewer Awards (2025) SIGMOD Best Paper & Research Highlight (2023) VLDB Best Paper Runner-Up (2022) Students & Grants: Supervises Master's interns on graph database applications. Leads the ANR JCJC VERDI project (2025-2029) on verified distributed graph systems. Actively recruits PhD candidates for this initiative. Labs & Service: ACMES team at Samovar Lab. Serves on editorial boards (TODS, TGDK) and program committees (VLDB, SIGMOD, ICDE). Coordinates VLDB 2026 Demonstrations Track and co-organizes multiple workshops (GRADES-NDA, TGD).

Javier Espejo Surósمشاهده پروفایل

مدرس

• Classical Spanish Theatre
• History of Mentalities and Systems of Representation
• Renaissance and Baroque Literature
• +۲ مورد دیگر

Javier Espejo Surós is a Lecturer in Hispanic Philology at Université Catholique de l'Ouest, specializing in Classical Spanish Theatre and the History of Mentalities and Systems of Representation. Author of critical editions on 16th-century Spanish theatre Over 50 publications including monographs and indexed journal articles Active in research programs since 2004, with participation in international conferences His research explores the intersection of theatrical representation and ideological systems in Early Modern Spain, with particular focus on women's roles in Renaissance drama, linguistic evolution of Golden Age Spanish, and political symbolism in historical plays. He has organized multiple international academic events and serves on editorial boards of key journals like Anuario Calderoniano and Edad de Oro . Recent publications (2023) reveal thematic continuity in three areas: Classical Spanish Theatre analysis, Gender Studies in Early Modern texts, and Cultural Representation Systems. His work spans critical editions, linguistic studies of Quevedo's Los Sueños , and socio-political interpretations of dramatic works. As a research team member of LIRFE , CESR (Tours), and eProMyR-Dialogyca , he contributes to digital databases and interdisciplinary projects. He evaluates academic excellence programs like USAL4EXCELLENCE COFUND and participates in doctoral thesis committees.

Azelle Courtialمشاهده پروفایل

پژوهشگر

• Map generalization
• Deep learning
• Multi-scale maps
• +۳ مورد دیگر

Azelle Courtial is a Researcher at Institut Géographique National (IGN) , specializing in deep learning applications for cartographic generalization within the MEIG research team (Modélisation des Environnements Inhabités et Généralisation). Her work focuses on multi-scale mapping automation and spatial data representations , with recent contributions in GAN-based mountain road generalization and deep learning benchmark development . Education: PhD in Geographic Information Sciences (Université Paris-Est, 2023), Master's in GIS (2019), Licence in Math & Informatics (2017) Projects: ERC Consolidator Grant recipient (2021-2026) Software: Developer of CartAGen4Py and DeepMapGen libraries Her publications demonstrate a research trajectory combining deep learning for map generalization multi-scale cartography principles constraint-based evaluation frameworks spatial relation modeling in GIS Scientific recognition includes: Best short paper award at AGILE Conference 2022 Teaching contributions span spatial databases , webmapping , and GIS programming , with responsibilities in course material development and student project supervision.

• Sociology
• Urban Security
• Risk Management
• +۴ مورد دیگر

Florent Castagnino is a researcher at IMT Atlantique's Interdisciplinary Department of Social Sciences (DI2S), with affiliations to the Laboratoire d'économie et de management de Nantes Atlantique (LEMNA) and Lab-STICC. His work bridges sociology, political science, and technology studies, focusing on surveillance practices in railway and urban contexts. Research Themes : Surveillance rationalization, AI's role in urban security, risk management, data bias detection, and the social implications of predictive policing. Key Publications : He critiques surveillance societies (2018), analyzes railway safety-security dynamics (2023), explores AI's future in security (2024), and examines predictive policing challenges (2024). Awards : Recipient of the Prix du jeune auteur 2015 for railway database research. Collaborations : Works with institutions like LATTS, LEMNA, and Lab-STICC, contributing to interdisciplinary projects on data-driven security and crisis management.

• Ancient Religions
• Magic in Antiquity
• Divine Epithets
• +۳ مورد دیگر

Dr. Thomas Galoppin is a researcher at Université Toulouse - Jean Jaurès, affiliated with the Patrimoine, Littérature, Histoire (PLH) laboratory. His scholarly work bridges classical archaeology, religious studies, and material culture analysis through interdisciplinary approaches to ancient Mediterranean practices. Specializes in divine nomenclature and ritual materiality Key contributor to collective volumes on polytheism mapping Develops network analysis methodologies for religious plurality Research trajectories examine: Animals as mediators in magical systems (2015 thesis) Lithic agency in ritual and medicinal contexts Visual representation of divine names on magic gems Recent publications demonstrate his focus on epigraphic analysis and cross-cultural religious dynamics. As member of the MAP-ERC project, he develops digital mapping of ancient belief systems while maintaining traditional philological rigor. Collaborates with international scholars including Corinne Bonnet and Antoine Laurent on: Polytheism network visualization Comparative theonym studies Semitic-Greek religious syncretism

Hervé Delbarreمشاهده پروفایل

استاد

• Atmospheric Dynamics
• Air Pollution Monitoring
• Lidar Remote Sensing
• +۳ مورد دیگر

Hervé Delbarre is a University Professor at Université du Littoral Côte d'Opale, affiliated with the Laboratory for Physico-Chemistry of the Atmosphere (LPCA) under the IREnE research institute. His work focuses on atmospheric dynamics, air pollution monitoring, and environmental transitions, with particular emphasis on coastal processes and industrial emissions. His research spans Atmospheric dynamics at micro- and meso-scales (breezes, turbulent structures, low-level jets) Lidar remote sensing applications for pollution monitoring Particulate matter analysis in coastal-industrial environments Source apportionment of pollutants like terpenoids and VOCs He has pioneered methodologies combining Doppler lidar with machine learning for pollution source identification and sensor network optimization. Recent publications (2021-2025) reveal a strong trend toward Coastal pollution dynamics in multi-source environments Industrial terpenoid emissions and atmospheric chemistry impacts Advanced lidar validation and wind profiling techniques Machine learning applications for air quality modeling with field campaigns spanning Dunkerque, Hanoi, and Alaska. Leadership roles include: Director of LPCA (2010-2020) Coordinator of CPER-PO FEDER IRenE project (2014-2020) Co-leader of CPER ECRIN project (2021-present) His work bridges fundamental atmospheric science with practical environmental solutions for coastal industrial regions.

René Quiniouمشاهده پروفایل

پژوهشگر

• Machine Learning
• Data Mining
• Online Monitoring
• +۴ مورد دیگر

René Quiniou is a Researcher at INRIA, affiliated with the DREAM team within the IRISA laboratory in Rennes, France. His work focuses on Online Monitoring , Change Detection , Machine Learning , and Data Mining , with applications in agriculture, environmental science, and healthcare. He leads research on extracting temporal patterns from sequences and developing adaptive learning algorithms for dynamic environments. Key research areas include incremental learning, anomaly detection in cybersecurity, and health monitoring systems. His publications span topics like multimedia data analysis, bovine disease detection, and intrusion detection in unlabeled data streams. He collaborates extensively with teams in computer science and applied mathematics, contributing to projects such as flood event clustering and cardiac surveillance systems. Articles emphasize practical applications of machine learning and data mining, such as symbolic time series representation (1d-SAX) and hierarchical skyline queries for database optimization. His work bridges theoretical advancements with real-world challenges in agriculture, healthcare, and cybersecurity.

• Network Science
• Data Science
• Complex Networks
• +۳ مورد دیگر

Artur Ziviani is a Senior Researcher at the Data Extreme Lab (DEXL) of the National Laboratory for Scientific Computing (LNCC), a research unit under Brazil's Ministry of Science, Technology, and Innovation (MCTI). He coordinates LNCC's Multidisciplinary Graduate Program in Computational Modeling (M.Sc./Ph.D.). With a Ph.D. from Université Pierre et Marie Curie (Paris 6) and a B.Sc./M.Sc. from Federal University of Rio de Janeiro (UFRJ), he has held visiting positions at INRIA (France) and taught at Paris 6. His research focuses on network science, data science, and interdisciplinary applications, including complex networks, machine learning, and mobility analysis. He is a Senior Member of IEEE and ACM, and an Affiliated Member of the Brazilian Academy of Sciences (2013-2017). His work spans algorithmic information theory, network centrality, and human-aware communication strategies. Recent projects include mobility modeling, protein interaction networks, and biodiversity informatics. Education: Ph.D. (Paris 6, 2003), M.Sc. (UFRJ, 1999), B.Sc. (UFRJ, 1998). Research interests include network characterization, data-driven modeling, and applications in healthcare and biodiversity. His publications analyze network structures, centrality metrics, and spatiotemporal data, with contributions to IEEE, ACM, and Elsevier journals. He also leads initiatives on SDN architectures for high-performance computing and collaborative learning platforms. Awards include recognition as an IEEE Impact Creator and senior fellowships. His team works on projects like SafeCityMap (mobility during pandemics) and MobHet (heterogeneous mobility prediction). He serves on editorial boards for Computer Networks and IEEE Communications Surveys.

Joël Boustieمشاهده پروفایل

استاد

• Pharmacognosy
• Phytochemistry
• Natural Product Chemistry
• +۴ مورد دیگر

Joël Boustie is a Full Professor of Pharmacognosy and Head of the Pharmacognosy & Mycology Laboratory at the Faculty of Pharmacy, University of Rennes 1. He holds affiliations with the Institute of Chemistry Sciences of Rennes (ISCR, UMR CNRS 6226). Born on 22 October 1963 in Brive, France, he earned a Dr. in Pharmacy (1986) from Paul-Sabatier University (Toulouse) and a PhD (1990) from the National Polytechnic Institute of Toulouse. His career includes roles as Lecturer and Assistant Professor (1992–1999) before becoming Professor in 1999. Teaching focuses on Pharmacognosy, Mycology, Phytotherapy, Biotechnology, Toxic Plants, and Nutraceuticals. He leads Master’s courses in Natural Product Chemistry in Hanoi and Angers, and pioneered the Aromatherapy and Essential Oils diploma (2014). Research spans 34 years in phytochemistry, emphasizing extraction/isolation of secondary metabolites from plants, mushrooms, and lichens, with applications in pharmaceuticals/cosmetics. He has supervised 13 PhD students and mentored multiple postdocs and visiting scholars. Leadership roles include directing the France-India International Associated Lab (Rennes/IICT Hyderabad), co-chairing the World Pharmacognosy Congress (2008), and serving on committees like AERES, CNRS, and HCERES. His awards include the Academic Palms (2016) and French Lichen Society Medal (2019). He actively promotes science through editorial roles (Molecules), organizing conferences, and managing collections like the Des Abbayes herbarium. He is a key member of societies like AFERP (French Pharmacognosy Society) and IAL (International Lichen Society). Scientific production includes 112 international peer-reviewed publications, 2 patents, and an h-index of 22. His work bridges fundamental chemistry and applied research, addressing bioactive compounds from lichens and their potential in health and cosmetics.

Lise PINAULTمشاهده پروفایل

پژوهشگر

• Climate Change
• Ecological Indicators
• Carbon Storage
• +۳ مورد دیگر

Lise PINAULT is a Researcher at the Chrono-environnement research unit (UMR 6249 CNRS) within the University of Franche-Comté. Her work focuses on climate change, ecological indicators, carbon storage, and peatland ecology. As a postdoctoral researcher since 2021 under supervisors Daniel Gilbert and Elsa Martin, she developed a national database for French peatlands to prioritize restoration sites, integrating ecological data with socio-economic factors like land tenure and costs. Her research bridges environmental science with policy, emphasizing carbon neutrality and sustainable land management. Education : PhD defended in April 2025 at the University of Franche-Comté. Prior academic work includes studies on socio-ecological systems and river dynamics at the Rohrschollen Island (Rhine River). Research Interests : Combining ecological data with socio-economic analysis to inform environmental policy. Specializes in peatland restoration, GHG mitigation, and the role of historical data in conservation strategies. Uses computational frameworks to model human-nature interactions across temporal and spatial scales. Key Contributions : - Developed a national peatland database integrating ecological and socio-economic metrics - Advanced methodologies for assessing restoration feasibility and costs - Explored the dynamics of human-river interactions and socio-ecological systems Labs/Teams : Core member of the DYNABIO team at Chrono-environnement, collaborating with interdisciplinary groups on environmental policy and ecosystem services.

• Deep Eutectic Solvents
• CO2 Capture
• Plastic Recycling
• +۳ مورد دیگر

Jean-Michel ANDANSON is a Research Fellow at the Clermont-Ferrand Institute of Chemistry (CNRS), affiliated with the Thermal and Physicochemical Analysis department at Clermont Auvergne University. His work focuses on developing novel solvents and materials for sustainable applications, such as CO₂ capture, plastic recycling, and polymer analysis. Key research interests include deep eutectic solvents (DES), microplastic detection, and thermodynamic analysis of working fluid pairs for energy systems. Dr. ANDANSON holds a Doctorate in Chemistry-Physics from the University of Bordeaux (2005) and has conducted postdoctoral research at institutions including ETH Zurich, Imperial College London, and EPF Lausanne. His expertise spans infrared spectroscopy, nanocalorimetry, and molecular simulations to study solvent structures and material interactions. His research projects emphasize sustainable development, addressing challenges in environmental remediation and energy efficiency. He collaborates within the Thermodynamics and Molecular Interactions (TIM) team and the Gas Absorption Mechanism (GAM) theme, focusing on interdisciplinary solutions for industrial and environmental applications. Publications highlight advancements in solvent design, microplastic quantification, and nanoparticle synthesis. His work integrates experimental and computational methods to bridge fundamental research with practical applications in green chemistry and renewable energy systems.

Despina Chatzivasiliouمشاهده پروفایل

پژوهشگر

• Classical Archaeology
• Religion in Greco-Roman Antiquity
• Urbanization in Ancient Greece
• +۳ مورد دیگر

Dr. Despina Chatzivasiliou serves as a Research Engineer at Collège de France 's Institut des civilisations since 2019. She contributes to four statutory chairs: Religion, History and Society in the Ancient Greek World; Techniques and Economies of the Ancient Mediterranean; Written Culture of Late Antiquity and Byzantine Papyrology; and Law, Culture and Society of Ancient Rome. Her work integrates archaeological, historical, and philological approaches to Greco-Roman antiquity. PhD in Archaeology from Université libre de Bruxelles (2013) Specializes in the interplay between religion, urbanization, and political structures in archaic Greece Co-author of systematic inventories of Greco-Roman cultic spaces Her research focuses on ritual landscapes and territorial structuring through religious practices. She investigates how sacred spaces like the Pelargikon in Athens served as symbolic boundaries shaping collective identity. Her recent projects examine the dynamics of ancient cities beyond static museum representations, emphasizing their evolving character through epigraphic, architectural, and mythological sources. Dr. Chatzivasiliou's 15 most recent publications (2011-2020) span topics from archaic sanctuary organization in Attica to comparative analyses of Mediterranean religious landscapes. She maintains active collaborations with institutions like the French School at Athens and contributes to academic journals including Kernos and Anabases . Professional activities include: Teaching at EPHE (2014-2016) Editorial work for French archaeological missions Co-creation of the Archaeological Museum in Galaxidi Contribution to Collège de France's Mondes méditerranéens anciens digital series

Thierry Mayerمشاهده پروفایل

استاد

• International Trade
• Economic Geography
• Multinational Firms
• +۳ مورد دیگر

Thierry Mayer is a Professor of Economics at Sciences Po since 2009 and served as Head of the Department from 2019 to 2023. He is a scientific advisor at CEPII and a research fellow at CEPR’s International Trade/Regional Economics program. His research focuses on international trade, economic geography, and multinational firms, with notable contributions on trade policy impacts, market integration, and migration economics. He has received prestigious awards including the CNRS Bronze Medal and an ERC Starting Grant. Education: PhD in Economics from the University of Paris I (2000), awarded the AFSE Best Thesis Prize. Prior roles include Professor at the University of Paris I-Paris School of Economics (PSE). Affiliations include CEPII, CEPR, and editorships at leading journals like the Journal of the European Economic Association. Research Interests: Trade theory/empirics, multinational firms, migration choices, spatial diffusion of cultural traits, and EU market integration. Key projects include the HETMAT project on trade and welfare and analysis of the EU’s ‘four freedoms’ through structural gravity models. Awards: Bronze Medal (CNRS), Best French Young Economist Prize, ERC Starting Grant, Econometric Society Fellowship. Active in data dissemination through the CEPII Gravity Database and collaborative projects like the Paris Trade Seminar.

• Corrosion
• Reinforced Concrete
• Structural Reliability
• +۳ مورد دیگر

Emilio Bastidas-Arteaga is an academic researcher in civil engineering at La Rochelle Université, affiliated with the Laboratory of Engineering Sciences for the Environment (LaSIE). He holds a PhD in Engineering Sciences (Civil Engineering) from the University of Nantes (2010). His research focuses on structural durability, corrosion mechanisms, climate change adaptation, and infrastructure resilience. He has served on thesis juries and contributed to international conferences. Key research areas include: Corrosion and durability of reinforced concrete Climate change impacts on infrastructure Structural reliability and probabilistic modeling Maintenance optimization and life-cycle analysis Sustainable materials (e.g., recycled aggregates) His recent work emphasizes Bayesian networks for durability prediction, machine learning applications in structural health monitoring, and climate-resilient design strategies. He has authored/co-authored over 80 peer-reviewed articles and two books. Key projects include: Development of probabilistic frameworks for coastal infrastructure Climate adaptation strategies for tropical environments Optimization of inspection/maintenance protocols for aging infrastructure He collaborates internationally on multi-disciplinary teams addressing challenges in: Offshore wind energy systems Wood utility pole durability under hurricane risks Carbonation and chloride ingress modeling