جست‌وجوی استاد و پژوهشگر

Stefania Masèمشاهده پروفایل

دانشیار

• Marketing
• Consumer Culture Theory
• Institutional Theory
• +۴ مورد دیگر

Dr. Stefania Masè is an Associate Professor of Marketing and Communication at IPAG Business School, where she serves as Academic Director of the Master in International Management program. She teaches courses in marketing principles, research methodologies, luxury brand management, and art-business integration. Based at the Nice campus, she holds a double doctorate from the University of Macerata (Italy) and Sorbonne University (France). Education: 2016: Ph.D. in Management and Accounting (University of Macerata) & International Trade and Europe (Sorbonne University) 2010: Master's Degree in Advertising and Corporate Communication 2009: Post Graduate Course in International Trade Research Focus: Dr. Masè's interdisciplinary research bridges institutional theory, consumer culture, and aesthetic philosophy. She investigates how institutional frameworks shape consumer behavior, with specialized studies in luxury brand strategies, digital dating platforms, and transgenerational family businesses. Her work employs both theoretical and empirical approaches to examine value creation, legitimation processes, and cultural dimensions in commercial contexts. Publication Trends: Recent scholarly output (2020-2025) demonstrates a strong focus on value conflicts in digital marketplaces, sustainability transitions in family enterprises, and the intersection of art with business strategy. Her research consistently examines institutional pressures on consumer behavior, with methodological diversity ranging from multivariate statistical analysis to qualitative case studies across European luxury sectors and digital platforms. Professional Affiliations: Active member of the STEP Project Global Consortium, researching transgenerational entrepreneurship practices Previous academic positions include Assistant Professor at IPAG (2018-2022) and teaching/research roles at IAE Pau-Bayonne

Michel COUDERCHETمشاهده پروفایل

استاد

• Pesticide Ecotoxicology
• Phytoremediation
• Plant Physiology
• +۳ مورد دیگر

Professor Michel COUDERCHET is affiliated with the Faculty of Exact and Natural Sciences at the University of Reims Champagne-Ardenne, where he leads research at the Research Unit on Grapevine and Wines in Champagne (URVVC - EA 4707). His work bridges environmental science and viticulture with significant contributions to pesticide management. His research focuses on pesticide ecotoxicology , phytoremediation , and environmental fate of pollutants , primarily using aquatic plants and algae as model systems. Key interests include biomarker development for pollution assessment, grapevine bio-protection against Botrytis cinerea , and non-point source pollution control in agricultural landscapes. His technical expertise spans plant cell culture, chromatography, and enzyme activity analysis. Professor COUDERCHET coordinates the AQUAL research program (2007-2014) addressing rural pollution control and teaches ecology, environmental science, and crop protection across all university levels. He directs the Master's program in Natural and Industrial Environment Engineering (GENI). Scientific recognition includes: President of Groupe Français des Pesticides (French Pesticides Research Group) Editor In Chief of The Open Journal of Ecology His publication record demonstrates consistent focus on pesticide-soil interactions, phytoremediation mechanisms, and viticultural pollution challenges, with significant contributions to understanding molecular properties affecting pesticide adsorption and enzymatic remediation pathways in aquatic plants.

• Plant resistance against pathogens
• Resveratrol transport mechanisms
• Stilbene oligomers synthesis
• +۵ مورد دیگر

Jerome Crouzet is an Associate Professor at the University of Reims Champagne-Ardenne. He works within the Faculty of Exact and Natural Sciences, affiliated with the Research Unit on Grapevine and Wines in Champagne (URVVC EA 4707). His research focuses on plant immunity and secondary metabolite dynamics in grapevine and Arabidopsis systems. Specializes in plant resistance proteins and stilbene transport Teaches plant biology, molecular biology, and viticulture modules Coordinates the professional L3 program in AgroResources and Environment (Viticulture-Environment) Research Themes: Jerome Crouzet investigates plant-pathogen interactions , emphasizing MAMPs perception and resveratrol transport mechanisms in grapevine. His work spans biological control , membrane protein functionality , and phenolic compound biology , with applications in sustainable viticulture and plant stress responses. Publication Trends: Over 15+ years, his research has centered on ABC transporters , heat shock promoters , and phytoalexin roles , with consistent focus on molecular defense mechanisms in Nicotiana tabacum and Vitis vinifera models. Recent works emphasize innate immunity and transport physiology . Contact: Email: jerome.crouzet@univ-reims.fr Address: URVVC EA 4707, Faculty of Exact and Natural Sciences, Building 18, Moulin de la Housse - BP 1039 - 51687 REIMS Cedex 2

Laurent Hascoetمشاهده پروفایل

پژوهشگر

• Computer Science
• Automatic Differentiation
• Program Analysis and Transformation
• +۴ مورد دیگر

Laurent Hascoët is a permanent INRIA Researcher at Sophia-Antipolis center in France since 1986. He leads the ECUADOR team , previously known as TROPICS team, focusing on Automatic Differentiation (AD) since 1998. Research Interests: Specializing in Program Analysis and Transformation Parallelization Algorithms Compiler Techniques for AD Scientific Computing Applications Memory Optimization in Reverse Mode AD His work includes foundational research on data-flow analyses for adjoint programs, formalization of SPMD parallelization methods for mesh-based computations, and development of the TAPENADE Automatic Differentiation tool. The tool has been applied to complex systems like ocean circulation models (OPA) and CFD simulations. Scientific Work: He has contributed to Formalizing AD data-flow equations Extending TAPENADE to C language Optimizing checkpointing strategies Advancing tangent-on-reverse second derivative computation Reducing memory usage through address reversal techniques

Pascal Edouardمشاهده پروفایل

استاد

• Sports Medicine
• Physical Medicine and Rehabilitation
• Sports Injury Prevention
• +۴ مورد دیگر

Pascal Edouard is a University Professor and Hospital Practitioner in sports medicine physiology at Saint-Etienne University Hospital and Jean Monnet University. He has served as a University Hospital Assistant (2011-2013), University Lecturer and Hospital Practitioner (2013-2020), and was appointed University Professor in 2020. He currently leads the Sports Medicine Unit within the Department of Clinical Physiology and Exercise and heads the SPIP team (Sports Performance and Injury Prevention). Dr. Edouard's research focuses on two primary axes: prevention of injuries in athletics using epidemiological and interventional approaches in collaboration with national and international athletics federations, and prevention of hamstring muscular injuries linked to sprinting through a multidisciplinary approach combining anatomy, epidemiology, imaging, biomechanics, modeling, and data science. His work has significant implications for athletic performance and injury prevention strategies. His publication record includes 93 articles in SIGAPS indexed journals and 70 in non-indexed journals as of January 2021. His research contributes to the FULGUR program (€1.9M ANR grant) focused on sports performance and injury prevention for the 2024 Paris Olympic and Paralympic Games. His main contributions include establishing that hamstring muscle injuries are predominant in athletics championships, identifying the fundamental role of hamstring muscles in horizontal force production for sprint performance, advocating for multifactorial and individualized hamstring injury rehabilitation, and demonstrating that regular exercise-based prevention programs reduce injury occurrence in athletics. Dr. Edouard directs the SPIP research team and contributes to the FULGUR research program with 30 researchers funded by the French National Research Agency. His work bridges clinical practice with academic research, focusing on translating scientific findings into practical applications for athletes and sports medicine practitioners.

• Optimization
• Cryptography
• Artificial Intelligence
• +۵ مورد دیگر

Gilles DEQUEN is a University Professor at Université de Picardie Jules Verne (UPJV), specifically affiliated with the Computer Science Department within the Faculty of Science. His research domain focuses on Optimization and Cryptography, AI - OCIA (Optimization, Cryptography and Artificial Intelligence), as indicated in his institutional profile. His work spans theoretical computer science with practical applications in healthcare, blockchain technology, and privacy-preserving systems. Professor DEQUEN's research interests are diverse yet interconnected, focusing primarily on cryptographic algorithms, blockchain consensus mechanisms, and artificial intelligence applications in healthcare. His work in cryptography includes lattice-based cryptography, SAT solving for cryptographic attacks, and post-quantum cryptographic techniques. In blockchain research, he has made significant contributions to PBFT consensus protocols, particularly for IoT applications and distributed ledger consistency. His healthcare applications span emergency medicine predictive modeling, autism spectrum disorder diagnosis using eye-tracking and machine learning, and privacy-preserving techniques for medical data. His publication record demonstrates a clear trend toward interdisciplinary research, increasingly bridging computer science with healthcare applications. While maintaining strong theoretical foundations in cryptography and optimization, his recent work (2023-2025) shows a pronounced shift toward explainable AI in medical contexts, privacy-preserving healthcare analytics, and ethical considerations in AI deployment. His publications consistently address real-world challenges in data privacy, system scalability, and clinical decision support. Professor DEQUEN actively collaborates across disciplinary boundaries, working with medical researchers, computer scientists, and data privacy specialists. His research group OCIA appears to serve as a hub for interdisciplinary projects that combine theoretical computer science with practical applications in healthcare and distributed systems. The team has secured funding for projects including BforSAT, VERTPOM, and SmartAngel, which focus on SAT solving, privacy-preserving technologies, and healthcare AI applications respectively.

• Networks and Data
• Distributed Systems
• Peer-to-Peer Storage
• +۵ مورد دیگر

Gil UTARD is a University Professor at Université de Picardie Jules Verne (UPJV), specializing in Networks and Data. His research spans from foundational work in parallel computing and distributed systems to cutting-edge applications in medical IoT security and blockchain technology. Research Focus: Professor Utard's work has evolved significantly over three decades, beginning with fundamental research in parallel computing architectures and matrix operations. His early contributions include developing efficient out-of-core algorithms for large-scale matrix computations and pioneering work in data-parallel program validation. More recently, his research has pivoted toward critical applications in healthcare technology, specifically securing medical Internet of Things (IoT) devices through innovative blockchain implementations and advanced cryptographic protocols. Research Areas: Distributed Systems and Peer-to-Peer Networks Medical IoT Security and Privacy Blockchain Technology for Healthcare Parallel and High-Performance Computing Large-scale Data Storage and Management Cryptographic Protocols for Secure Data Sharing Research Evolution: His publication trajectory demonstrates a clear evolution from theoretical computer science foundations to practical security applications. The 2000-2010 period focused on parallel computing fundamentals, particularly matrix operations and storage systems. The 2011-2020 period saw expansion into peer-to-peer storage systems and distributed architectures. The 2021-present period represents a dramatic shift toward medical applications, with 70% of recent publications addressing healthcare-specific security challenges. Laboratory Affiliation: Professor Utard is associated with the Networks and Data domain within UPJV's research structure, though specific laboratory details are not provided in the source material.

François Jacquenetمشاهده پروفایل

استاد

• Machine Learning
• Data Mining
• Natural Language Processing
• +۵ مورد دیگر

François Jacquenet is a Professor of Computer Science at the University of Saint-Etienne, where he is a member of the Machine Learning Team at the Hubert-Curien Laboratory. His research focuses on machine learning and data mining applications for natural language processing, with significant contributions to privacy-preserving systems including Hippocratic Multi-Agent Systems and Automata-Based Sequence Mining. His research interests span Machine Learning , Data Mining , Natural Language Processing , and Privacy-Preserving Systems . Jacquenet has led multiple research projects including the PASCAL II Network of Excellence (2008-2012), the Bingo2 project (2008-2010), and the Web Intelligence project (2006-2008), where he focused on ethical web design and privacy protection techniques. His work bridges theoretical foundations with practical applications in areas like fraud detection, meeting summarization, and video tag correction. Analysis of his recent publications reveals a consistent research trajectory in deep learning applications , privacy-preserving techniques , and cross-modal learning . His work shows a progression from foundational research in grammatical inference and automata theory to contemporary applications in neural networks and self-organizing systems. The publications demonstrate strong interdisciplinary connections between computer science, physics, and security applications. Best AI Paper Award at Conference (2006) Professor Jacquenet has supervised numerous PhD students including Maria Galvan, Hoang-Tung Tran, Ludivine Crépin, and Stéphanie Jacquemont. His research has been supported by significant grants including the French Research Agency (ANR), the Rhône-Alpes region, and international networks like PASCAL. He has organized multiple conferences including Privacy on the Web at the ACM Symposium on Applied Computing and the PASCAL Workshop on Teaching Machine Learning. He is actively involved with the Machine Learning Team at Hubert-Curien Laboratory , contributing to the PASCAL Network of Excellence and the REWERSE Network. His research group focuses on developing practical applications of machine learning while addressing fundamental theoretical questions in pattern mining and language learning.

Julie Bourbeillonمشاهده پروفایل

مدرس

• Bioinformatics
• Systems Biology
• Artificial Intelligence
• +۹ مورد دیگر

Julie Bourbeillon is a Lecturer in Computer Science at Institut Agro Rennes-Angers , where she co-directs the Department of Statistics and Computer Science. Her work bridges Bioinformatics , Computer Vision , and Data Integration with applications in Plant Biology and Horticulture . She has developed educational frameworks for integrating digital skills into horticultural training using the PiX framework . Education : PhD in Computer Science (2007, Université Grenoble 1), Master of Science and Engineering for Health and Medicine (2004), Engineer (2002, INAPG) Her research focuses on semantic distance , heterogeneous data integration , and data visualization for biological datasets. She leads the DIVIS project for handling complex phenotypic data and co-developed ELVIS and QuaDS software tools. Key projects include: DIGITOM (2024-2027): Digital twins for climate-resilient agriculture ERICA (2025-2026): Robotic climate mapping in greenhouses GRIOTE (2014-2018): Bioinformatics collaboration

Sophie Allaisمشاهده پروفایل

استادیار

• Animal Genetics
• Quantitative Genetics
• Animal Breeding
• +۳ مورد دیگر

Sophie Allais is an Assistant Professor at the French Higher Education Institution in Agriculture, Food, Horticultural and Landscape Sciences, specializing in the Department of Animal and Food Sciences in Rennes, France. She contributes to advancements in genomic selection and animal breeding research. Current Position: Assistant Professor in Animal Genetics Research Focus: Genomic Selection, QTL Analysis, SNP Chip Optimization Collaboration: Part of Sylvie Rousset's Lab Her work centers on reducing genotyping costs while improving accuracy in poultry and beef cattle breeding programs. Techniques like ddRAD-seq validation, low-density SNP chip design, and imputation strategies are key areas of exploration. Recent publications emphasize cross-species QTL mapping and cost-effective genomic evaluation frameworks. Major trends in her research include: Development of reduced-representation sequencing methods for livestock breeding Comparative studies of ddRAD-seq vs. whole-genome sequencing Optimization of marker density for economic genomic selection Integration of crossbred animal data in genetic evaluation models

• Semantic Data Integration
• Ontology-based Database Design
• Big Data & Cloud Computing
• +۵ مورد دیگر

Ladjel Bellatreche is a Full Professor at the National Engineering School for Mechanics and Aerotechnics (ISAE-ENSMA) in Poitiers, France, where he has been a faculty member since September 2010. He leads the Data and Model Engineering Team of the Laboratory of Computer Science and Automatic Control for Systems (LIAS). Prior to his current position, he spent eight years as Assistant and then Associate Professor at Poitiers University. His academic journey includes visiting positions at Université du Québec en Outaouais (Canada), Purdue University (USA), and Hong Kong University of Science and Technology (China). Professor Bellatreche's research interests span multiple domains in data management and engineering, with a focus on Semantic Data Integration, Ontology-based Database Design, Life Cycle of Extremely Large Database Design, Big Data & Cloud Computing, Green Computing, and Database Deployment. His work bridges theoretical foundations with practical applications in data-intensive systems. His publications reflect a strong trend toward addressing challenges in big data analytics, semantic data integration, and energy-efficient database systems. The research demonstrates a progression from traditional data warehousing techniques to more advanced approaches incorporating semantic web technologies, linked open data, and green computing principles. His work increasingly focuses on scalability, efficiency, and the integration of diverse data sources. Professor Bellatreche has received recognition through his service as an Editorial Board Member for the International Journal of Reasoning-based Intelligent Systems and as subject area editor of the Scalable Computing Journal. He has also served as a reviewer for prestigious journals including IEEE TKDE and Distributed and Parallel Database Journal. His leadership extends to organizing major international conferences such as DAWAK, DOLAP, MEDI, and WISE. With over forty program committee memberships, he plays a significant role in shaping research directions in data management. Additionally, he actively promotes research in Africa and Asia through student supervision and conference organization.

Florent Berthelinمشاهده پروفایل

دانشیار

• Kinetic Models
• Transport Equations
• Hydrodynamic Limits
• +۶ مورد دیگر

Florent Berthelin serves as a Maître de Conférences HDR (Habilitation à Diriger des Recherches) in Mathematics at the University of Côte d'Azur (formerly University of Nice). He is affiliated with the Laboratoire J. A. Dieudonné (UMR CNRS 7351) and also participates as a member of the COFFEE team at Inria Sophia Antipolis. His research spans multiple areas in mathematical analysis and applied mathematics. Berthelin specializes in kinetic models including transport equations, mean value lemmas, entropy methods, and regularity analysis. He investigates hydrodynamic limits for fluid mechanics, particularly toward Euler and isentropic Euler systems. His work extends to nonlinear hyperbolic partial differential equations, systems of conservation laws with constraints, and applications to road traffic modeling. Additional research interests include numerical methods for these mathematical frameworks and stochastic terms in mathematical models. Berthelin holds significant teaching responsibilities as the director of the Master 2 MF (Fundamental Mathematics) and Agrégation de Mathématiques programs. He teaches across multiple academic levels including Master's and License (Bachelor's) degree courses in analysis, differential equations, topology, and calculus. His teaching portfolio includes specialized courses for physics students and advanced mathematical analysis. As a researcher with HDR qualification, Berthelin has attained the highest research credential in the French academic system, enabling him to supervise doctoral candidates and lead research initiatives. His professional activities connect him with broader mathematical networks including HYKE (Hyperbolic and Kinetic Equations) and various French and international research teams working on partial differential equations.

Stella Krellمشاهده پروفایل

مدرس

• Numerical Analysis
• Computational Fluid Dynamics
• Finite Volume Methods
• +۳ مورد دیگر

Stella Krell serves as a Lecturer at the Dieudonné Laboratory within Université Côte d'Azur, specializing in numerical methods for fluid dynamics and partial differential equations. Her academic career spans over a decade of teaching and research in computational mathematics. Her research focuses on Numerical Analysis and Computational Fluid Dynamics , particularly developing Finite Volume Methods for complex fluid systems. Key areas include Discrete Duality Finite Volume (DDFV) schemes , Domain Decomposition Methods , and Multifluid Flow Simulation . Her work addresses challenging problems in anisotropic diffusion, Navier-Stokes equations, and convection-diffusion systems with applications ranging from nuclear waste storage to porous media flow. Analysis of her 15 most recent publications reveals consistent focus on advancing DDFV methodologies, with increasing sophistication in handling boundary conditions, stability analysis, and multi-physics coupling. Her research trajectory shows progression from foundational discretization techniques to complex multiphysics applications, demonstrating both theoretical rigor and practical implementation skills. Krell actively participates in academic knowledge dissemination through extensive conference presentations at major international symposia including CANUM, FVCA, and Domain Decomposition conferences across Europe. Her teaching portfolio includes advanced courses in numerical analysis, geometry, and linear algebra for Master's programs with emphasis on teacher training.

• Metacognition
• Academic writing
• Self-regulation of learning
• +۴ مورد دیگر

Dyanne Escorcia is a University Professor of Education and Training Sciences at Clermont Auvergne University (UCA), specifically affiliated with INSPÉ Clermont-Auvergne. She holds a position in the 70th section of French academia, indicating her specialization in Education Sciences. Her academic career includes previous appointments as Maître de Conférences at the University of Poitiers (2011-2021) and statutory researcher at the CeRCA laboratory. She currently serves as Co-head of the Education Sciences degree (LSDE) at INSPE Clermont Auvergne since 2022 and as a Member of the Laboratory Board at ACTé laboratory since 2024. Dr. Escorcia earned her Authorization to Direct Research (HDR) in Educational Sciences in 2020 from ENS de Lyon with research titled 'Study of the learning-teaching processes of academic writing: proposal of an interdisciplinary model.' She completed her Doctorate in Educational Sciences in 2007 from University of Paris X on 'Metacognitive components and written performance: a sociocognitive approach to student work.' Her research primarily focuses on metacognition in academic writing, examining metacognitive processes (metacognitive knowledge and self-regulation strategies) in students' writing practices. She also investigates higher education teachers' conceptions of academic writing and teaching practices. Methodologically, she employs both quantitative (questionnaires) and qualitative (explanatory interviews) approaches, as well as real-time analysis techniques (filmed observations and concomitant verbalizations). Her research themes include effects of self-regulation training, metacognition and critical thinking, information management, and development of resilience in the face of hydrometeorological risks. Analysis of her publication record reveals consistent focus on metacognitive components of writing, self-regulation strategies, and academic writing assessment in higher education. Her work often employs comparative and cross-cultural approaches, particularly examining differences between French and Colombian educational contexts. Recent publications increasingly incorporate real-time analysis techniques and focus on practical interventions to improve students' writing skills through metacognitive training. Dr. Escorcia currently supervises two doctoral students: Nicolas Fradet (since 2023) working on metacognitive knowledge in combating disinformation, and Toussaint Essono Ondo (since 2022) studying writing skills development among illiterate adults in Gabon. She leads the Drescom project (2024-2025) on 'development of resilience and community spirit in the face of hydrometeorological risks' with MSH funding (€5,000), and oversees the Effects of Teaching Practices (EPEE) program. Previously, she served as Head of the Master's in Educational Advisor for Higher Education (2018-2021) and Director of CRIIP, the teaching support center at University of Poitiers (2018-2020). Her research is conducted through the ACTé laboratory where she serves on the Laboratory Board, focusing on educational sciences and teacher training. She collaborates internationally, particularly with Colombian institutions, reflecting in her comparative research on academic writing practices across different educational contexts.

• Computational Thinking
• Mathematics Education
• Educational Technology
• +۷ مورد دیگر

Dr. Manon Laurent is a Lecturer in Educational and Training Sciences at the University of Clermont-Auvergne, France, affiliated with the ACTé Laboratory (Activity, Knowledge, Transmission, Education). She previously served as an Associate Researcher at LaRAC, Université Grenoble Alpes, and as a Trainer at Inspé de Grenoble. Her educational background includes a Doctorate in Educational Sciences from Université Grenoble Alpes (2022), with her thesis focusing on computational thinking as a vector for learning mathematics in elementary school. Dr. Laurent's research centers on the intersection of educational technology and mathematics education, particularly examining how computational thinking and programming activities impact primary school mathematics learning. Her work investigates conative variables such as mathematical anxiety, self-determined motivation, and sense of competence in learning environments. She has conducted several randomized controlled trials to evaluate the effectiveness of digital learning tools in educational settings. Her publication record shows a consistent focus on experimental approaches to educational technology, with particular emphasis on the relationship between computational thinking and mathematics acquisition in primary education. Her research methodology typically involves large-scale randomized trials with thousands of students across multiple schools. Dr. Laurent has been actively involved in research collaborations through the EXPIRE project (Experimenting with Computational Thinking for Student Success), which was funded by the French e-Fran Future Investment Program. She has also participated in organizing academic conferences and workshops related to social psychology and education.