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Nicolas Terré is an Associate Professor of Physical Education and Sports at the Université Catholique de l'Ouest (UCO), Faculty of Sciences - IFEPSA. He holds a PhD in STAPS (Sciences and Techniques of Physical and Sports Activities) from the University of Nantes (2015) and has been a Vice-President of the Internal Physical Education and Sports Aggregation since 2020. His research focuses on student engagement, emotional learning in physical education, and pedagogical innovation. He actively contributes to teacher training programs across undergraduate and graduate levels. Education: Master 2 in Education Sciences (University of Nantes, 2011); Doctorate in STAPS (2015). Professional experience includes technical coordination of educational journals and expertise in academic publications. His research interests emphasize the intersection of emotions, motor learning, and environmental education. Recent work explores encouragement effects on student engagement, negative emotions as learning tools, and holistic approaches to physical education. He has organized national conferences like the IFEPSA Scientific Meetings (2020) and serves on editorial review boards. Teaching responsibilities span undergraduate and graduate courses in didactics, psychology of learning, and practical techniques in physical education. He advocates for inclusive, ecologically oriented pedagogy in EPS curricula.

• Physical Education Pedagogy
• Educational Psychology
• Motor Learning
• +3 more

Eléonore HAMAIDE-JAGER is a Senior Lecturer in French Literature at the School of Letters and Arts , Université d’Artois , since 2010. Her academic work bridges children’s literature and Shoah representation , with a focus on intertextuality , visual analysis , and Oulipo influences in contemporary texts. Research Interests: Intertextual and intericonic dynamics in picture books Shoah and war narratives for youth audiences Oulipo constraints in children’s literature Transfictional structures and digital adaptations Cartographic and spatial representations in youth media Genre hybridity and pedagogical implications Her publications emphasize photographic imagiers , pop-up temporality , and ethical storytelling about historical trauma. She co-edits the Strenae journal and contributes to editorial committees for Cahiers Georges Perec and Cahiers Robinson . She has organized international symposia on documentary youth literature and children's book mediation , serving as a scientific expert in European research programs.

• Children's Literature
• Intertextuality
• Image Analysis
• +4 more

Antoine Beugnard is a Professor in the Department of Computer Science at IMT Atlantique (formerly Telecom Bretagne), located on the Brest campus, where he has served since December 2007. His academic journey began at ENST-Bretagne (1986), followed by a Doctorate in Computer Science from the University of Rennes 1 in 1993, and accreditation to supervise research in 2005. His educational background includes: Former student of ENST-Bretagne (1986) Doctorate in Computer Science from University of Rennes 1 (1993) Accreditation to supervise research (2005) Professor Beugnard's research centers on software modeling, particularly focusing on the meaning, notations, and properties like composition of models. Since 2017, he has applied his research to the Industry of the Future, specifically digital twins, participating in the "Digital Twin" working group of the Alliance Industrie du Futur. His work also explores static verification of names in heterogeneous languages, communication abstractions, component-based software engineering, and late-binding semantics in object-oriented languages. As a member of Lab-STICC (UMR 6285) and the P4S team, he contributes to the development of Openflexo for model federation. His recent publications demonstrate a strong evolution from foundational work on object-oriented languages and component models toward practical applications in Industry 4.0 contexts, with a pronounced focus on digital twin technology, model federation, and software engineering approaches to complex systems. The research trajectory shows increasing integration of theoretical modeling concepts with real-world industrial applications. Professor Beugnard has supervised numerous doctoral students throughout his career, guiding research in areas including model federation, digital twins, component-based software engineering, and socio-technical systems. His teaching philosophy emphasizes active learning with project simulations addressing both organizational and technical aspects of software development. He is responsible for the "Ingénierie Logiciel des Systèmes Distribués" (ILSD) thematic deepening program and teaches software engineering, UML design, object-oriented programming with Java, and fundamentals like concurrency, distribution, and design patterns. His approach centers on three principles: "explicitez" (make explicit the process and product at all levels), "adaptez" (adapt rules and methods to context), and "justifiez" (justify decisions and adaptations).

• Modeling
• Software Design
• Digital Twins
• +5 more

Fabien Dagnat is a Lecturer and Researcher in the Computer Sciences Department at IMT Atlantique in Brest since 2002. He holds a PhD (2001) and HDR (2016), leading the P4S team at Lab-STICC. His expertise focuses on software engineering, particularly software safety and security, with emphasis on formal methods and dynamic software updating. He has supervised multiple PhD students and conducted research collaborations with institutions like Georgia Tech and Thales Alenia Space. Research interests include model federation, component-based systems, secure systems engineering, and dynamic reconfiguration. His work bridges theory and practice, addressing challenges in complex system development, such as maintaining security consistency during system evolution and managing heterogeneous IT infrastructures. He contributes to frameworks like Openflexo and tools for secure space mission engineering. Education: PhD in Programming Languages (2001) and HDR in Software Engineering (2016) from Institut National Polytechnique de Toulouse. Teaching responsibilities include software development, concurrent programming, and compilation at IMT Atlantique. Labs/Teams: P4S (Processes for Safe and Secure Software and Systems) at Lab-STICC. Active in international conferences (MODELS, ICSSP) and collaborations with industry (e.g., Airbus, Thales).

• Software Engineering
• Software Safety
• Software Security
• +3 more

Jeff Offutt is a Professor and Chair of the Department of Computer Science at the University at Albany, part of the College of Nanotechnology, Software, & Engineering. Previously, he was a Full Professor with Tenure in Software Engineering at George Mason University, where he led the MS in Software Engineering program and developed numerous courses in software testing, web engineering, and software analysis. His research has significantly influenced both academia and industry in software testing and engineering education. His research interests span software testing, mutation testing, model-based testing, automatic test data generation, web application testing, and software engineering education. He has pioneered techniques such as bypass testing and model-based testing, with applications embedded in tools like Selenium. His work emphasizes practical, impactful research—what he calls "science fiction"—with a clear path to real-world use by software engineers. His recent publications reflect a strong trend in cost-effective mutation testing, model-based testing strategies, educational innovations like self-paced learning models (e.g., SPARC), and security aspects of web applications. The keywords across his work include software testing, empirical studies, automation, and education, with subfields such as fault localization, test oracles, input partitioning, and scalable pedagogy. John Toups Presidential Medal for Excellence in Teaching (2020) George Mason University Faculty Member of the Year (2020) Virginia Outstanding Faculty Award (2019) George Mason Teaching Excellence Award (2013) 10-year Most Influential Paper Award, MODELS 2020 Best Paper Award, ICST 2021 Most Influential Paper, ISSRE (2019) Jeff Offutt has advised numerous students and collaborated internationally, including at Swedish universities. He has led major educational initiatives such as the NSF-funded SPARC project, aimed at improving scalability and diversity in introductory CS courses. He has also been actively involved in curriculum development, including co-authoring IEEE/ACM guidelines for software engineering programs. His leadership extends to founding and chairing major conferences like IEEE ICST and serving as Editor-in-Chief of Software Testing, Verification and Reliability . He leads research projects on smart test automation, minimal mutation, and K–5 computer science integration. His work has resulted in widely used tools including muJava, Mothra, and SpecTest. He frequently gives keynote talks on testing, education, and research methodology, and is known for his popular talk "How to Get Your Paper Rejected."

• Software Testing
• Mutation Testing
• Model-Based Testing
• +8 more

Prof. José Neto is a Professor at Télécom SudParis, part of the Institut Polytechnique de Paris, affiliated with the SAMOVAR research department. His work focuses on combinatorial optimization, mathematical programming, and graph theory. He has contributed to polyhedral studies of cut and assignment polytopes, spectral bounds for graph partitioning, and optimization algorithms for mixed-variable and blackbox problems. His research spans topics like network pricing complexity, domination in graphs, and robustness verification in neural networks. He has published extensively in top journals such as Mathematical Programming, Discrete Applied Mathematics, and Networks. Key contributions include developing efficient algorithms for combinatorial pricing, analyzing optimization relaxations, and exploring structural properties of discrete mathematical objects. His work bridges theoretical foundations and practical applications in operations research, with recent interests in binarized neural network verification and mixed-variable optimization. He has collaborated on projects related to cloud virtual machine mapping and combinatorial pricing models. Labs/Teams: Active member of the SAMOVAR laboratory, specializing in applied mathematics and optimization research.

• Combinatorial Optimization
• Mathematical Programming
• Operations Research
• +3 more

Dr. Meng Wang is a Professor at the School of Computer Science, University of Bristol, where he leads the Programming Languages Research Group. His career includes prior roles as a Lecturer at University of Kent and Assistant Professor at Chalmers University of Technology. Current Affiliation: University of Bristol Past Affiliation: University of Kent Past Affiliation: Chalmers University of Technology Research interests center on applying theoretical rigor to practical programming, with a focus on designing languages and tools for software development and testing. Key areas include: Bidirectional Programming Functional Programming Software Testing Type Systems Embedded Languages Publication trends show a strong emphasis on bidirectional programming, functional language design, and compiler techniques. His recent work explores large language model applications in code translation and formal verification of refinement types in object-oriented systems. Supervision and team leadership include mentoring 12 current PhD students and 1 Research Associate, while past mentees include notable researchers who have transitioned to industry and academic roles. He has organized workshops like VeTSS summer school and co-chaired PEPM 2024, demonstrating active community engagement.

• Programming Languages
• Functional Programming
• Bidirectional Programming
• +2 more

Associate Professor Bruno C. d. S. Oliveira is affiliated with the Department of Computer Science at The University of Hong Kong, where he leads the HKU PL Group. His research focuses on programming languages , particularly type systems for modularity and the integration of object-oriented and functional paradigms . He has contributed extensively to conferences like POPL, ICFP, ECOOP, and OOPSLA. Key Research Areas : Programming Languages Type Systems Modularity Polymorphism Subtyping Dependent Types His recent work explores bidirectional typing , iso-recursive subtyping , and intersection/union type applications . He has advised numerous PhD and MPhil students, including Wenjia Ye, Baber Rehman, and Yaoda Zhou. Awards include the Distinguished Artifact Award (ECOOP 2021) , Best Paper Awards (Modularity 2016) , and Distinguished Paper Awards (POPL 2020, ICFP 2019) . His teaching includes Functional Programming (CSIS0258/COMP3258) and Principles of Programming Languages (CSIS0259/COMP3259) .

• Programming Languages
• Modularity
• Type Systems
• +6 more

François Pessaux is a Professor and Teacher-researcher at ENSTA Paris, working within the Computer Science and Systems Engineering Unit (U2IS). His academic career spans several decades with significant contributions to programming language theory and formal methods. His research interests focus on Programming Languages , Formal Methods , Semantics of Programming Languages , Compilation , Proofs , and Hybrid Systems . Pessaux has developed extensive expertise in programming language semantics, particularly with functional languages like OCaml, and has made substantial contributions to formal verification techniques. His work bridges theoretical computer science with practical software development, especially for critical systems. His publication record shows a consistent focus on programming language design, semantics, and verification. Notable works include his comprehensive books on programming language concepts and his significant contributions to the FoCaLiZe environment, which supports formal integrated development for certified software. His research has evolved from foundational work on exception analysis in the 1990s to more recent comprehensive treatments of programming language semantics. Pessaux actively contributes to both research and education at ENSTA Paris, teaching foundational computer science courses including IN101 (Algorithms and Programming) and other advanced programming language courses. His teaching materials from recent academic years (2022-2023) demonstrate his ongoing commitment to computer science education. He is deeply involved with the FoCaLiZe project, which appears to be a formal integrated development environment for building certified software. This work connects programming language theory with practical software verification for critical systems, demonstrating his ability to bridge theoretical and applied computer science.

• Programming Languages
• Formal Methods
• Semantics of Programming Languages
• +3 more

Marie-Dominique Van Damme is a Lecturer at the French National School of Geographic Sciences (ENSG), IGN's School of Geomatics, and is in charge of research and studies in the MEIG research team within the LASTIG research laboratory. She has been an IGN Teacher-Researcher at ENSG-Géomatique since August 2019, and from March 2025 will return to full research activities at LASTIG while continuing to teach programming with GIS, modeling, databases, and integration of heterogeneous data at ENSG. Dr. Van Damme earned her Computer Engineering degree with an information systems option from the National Conservatory of Arts and Crafts in 2010. Her professional experience includes: August 2019 – present: IGN Teacher-Researcher at ENSG-Géomatique May 2012 – July 2019: Research engineer at LASTIG, MEIG team May 2005 – April 2012: Project Manager at the National Forest Inventory June 2000 – April 2005: Web developer at Risc Group Her research focuses on semantic integration of heterogeneous geographic data, data matching, and the application of these techniques to mountain rescue scenarios. She has led and participated in several significant research projects including: CHOUCAS Project (ANR, 2017-2022): Multi-source semantic integration of landmark objects for mountain rescue LANDSENSE (H2020, 2016-2020): Crowd and community sourcing for land use monitoring UrCLIM (ERA4CS, 2017-2020): Retrieving land cover data for urban climate studies IntForOut (ANR, 2024-2027): Current project on trajectory analysis Dr. Van Damme has developed several software tools to support her research, including Tracklib (a Python library for GPS trajectory manipulation) and MultiCriteriaMatching (a Java library for multi-criteria data matching based on Belief Theory). Her recent publications show a strong focus on spatial data quality, landmark ontology development, mountain rescue applications, and the use of crowdsourced data for geographic information. The research trends indicate a progression from foundational work on data matching algorithms to applied research in emergency response scenarios, particularly mountain rescue operations. She has supervised numerous students including PhD candidate Mathieu Mehdi ZRHAL (defended 2023), research engineers, and multiple internship students working on geospatial projects related to mountain rescue, data integration, and GIS development. She has also led the pedagogical responsibility for the first-year master's degree in geomatics at Gustave Eiffel University from August 2019 to March 2025. Dr. Van Damme's work bridges theoretical research in geographic information science with practical applications in emergency response, demonstrating the real-world impact of geospatial technologies.

• Geographic Information Systems (GIS)
• Spatial Data Integration
• Semantic Data Matching
• +7 more

Thomas Devogele is a Professor at the University of Tours, France, where he serves as Head of the Computer Science Department within the Faculty of Sciences and Technology. He is also Head of the Master 2 in IT and apprenticeships program and deputy director of LIFAT (Tours Fundamental and Applied Computer Science Laboratory). His academic career spans more than two decades, having previously served as an Assistant Professor at the French Naval Academy from 1998 to 2010. His primary research focuses on Geographic Information Systems (GIS), spatio-temporal data mining, and moving object analysis. Dr. Devogele's work specializes in trajectory data-mining, similarity measures between lines or trajectories using Fréchet distance, classification and outlier detection of trajectories, and spatio-temporal database integration. He currently leads research projects DOPAN and PERSONAE. His recent publications (2021-2025) demonstrate an expansion of his research into cycling infrastructure analysis, blockchain applications for business processes, personalized web service recommendations, and health data narratives (particularly tuberculosis in Gabon), while maintaining his core expertise in trajectory analysis and spatial data. His work bridges theoretical computer science with practical applications in transportation, public health, and urban planning. Dr. Devogele has supervised numerous PhD students who have gone on to successful academic and industry careers, including Fournier Sébastien (Assistant Professor at Université de Provence), Noyon Valérie (Leader of GIS department at the city of Niort), and Etienne Laurent (Assistant Professor at Tours University). His teaching responsibilities include Software Engineering, Object-Oriented Programming (Java), Geographic Information Systems, Artificial Intelligence, and Database courses for Computer Science students at the Blois campus. He has made significant contributions to the field through his extensive publication record spanning from 1996 to the present.

• Geographic Information Systems
• Spatio-temporal data mining
• Moving object analysis
• +3 more

Mohamed Hedi Karray is a Professor at the Department of Scientific Systems, National School of Engineering Tarbes. He holds a PhD and Habilitation à Diriger des Recherches (HDR), both in Applied Informatics and Ontology-based Engineering, and his research focuses on semantic technologies for decision-making and interoperability in manufacturing systems. Education: HDR (2019, Toulouse INP), PhD (2012, University of Franche-Comté), MSc (2008, Lyon 1), BSc (2007, Tunis University). His research bridges Ontology-Based Engineering, Semantic Interoperability, and E-Systems/e-services Architectures, with applications in Collaborative Product Lifecycle Management and Computer-Aided Process for Manufacturing. He teaches Object-Oriented Programming, Analysis of Algorithms, and ICT trends. Email: mohamed-hedi.karray@uttop.fr

• Ontology-Based Engineering
• Semantic interoperability
• Computer Aided Process for Manufacturing
• +3 more

Patrice Bonhomme is a Teacher-researcher at the University of Tours, affiliated with the Polytechnic School of the University of Tours (EPU) and the Fundamental and Applied Computer Science Laboratory of Tours (LIFAT, UR 6300). His primary role involves both teaching and research activities within the Computer Science Department. Patrice holds a PhD from the University of Tours, as evidenced by his 'MEMOIRE DE THESE' published in 2001. His educational background and current position reflect a deep specialization in computer science and engineering disciplines. His research interests focus on Scheduling and Control , Discrete Event Systems , and Real-Time Systems , with particular emphasis on Petri Nets as a modeling framework. He explores advanced control strategies, state estimation techniques, and fault diagnosis methodologies for time-critical systems. Key areas include energy optimization, decentralized control policies, and symbolic analysis of Petri Net-based systems. In recent years, his work has centered on developing novel algorithms for P-Time Petri Nets, addressing challenges in unobservable transitions and partial observability. He has contributed to both theoretical advancements and practical applications in manufacturing and real-time system optimization. Patrice has been actively involved in international conferences, presenting papers at IFAC and IEEE events. Notably, he served as a reviewer for the T-ASE journal (2004-2005) and contributed to proactive/reactive control methodologies for time-critical systems. His research demonstrates a consistent trajectory toward enhancing system efficiency through formal methods and algorithmic innovations. He is part of the Computer Science Laboratory Team at the University of Tours, specializing in the control of discrete event systems. No scientific awards are explicitly listed in his profile, and he has no documented advisees.

• Scheduling and Control
• Discrete Event Systems
• Real-Time Systems
• +3 more

Serge Leblanc is a University Professor of Educational Sciences at the Faculty of Education, University of Montpellier, affiliated with the LIRDEF research lab. He specializes in activity analysis frameworks and video-based training methodologies, focusing on professional learning and development processes. His research integrates empirical and technological approaches to study situated work activities in education, health, and sports. Responsibilities include leading the TF&D research team (22 members), directing the UNESCO Chair on 21st Century Teacher Training, and managing academic programs like the TERE course. He has held leadership roles in academic councils and scientific committees, including the CTE EEF and VISA initiatives. His work emphasizes activity-oriented design for training environments and the use of video resources to enhance professional practice. Key research themes include the analysis of situated professional activities, the impact of video tools on pedagogical improvement, and the design of collaborative training systems. He has co-authored over 130 publications, contributing to fields like educational technology, teacher professionalization, and activity theory. His interdisciplinary approach bridges educational sciences with practical applications in teacher training and workforce development.

• Educational Sciences
• Teacher Training
• Activity Analysis
• +4 more

Anne-Claire Pache is a Professor of Social Innovation at ESSEC Business School in Paris, France, and holds the ESSEC Chair in Social Innovation. She has held various academic roles, including Deputy Director General for Academic Programs (2014–2017) and Director of Strategy and Social Engagement (2020–present). Her research focuses on organizational theory, hybrid organizations, and social innovation, with a particular emphasis on scaling social enterprises and navigating institutional complexities. Education: ESSEC Business School (MSc, 1994), Harvard Kennedy School (MPA, 2001), INSEAD (PhD in Organizational Behavior, 2010). Her research interests span hybrid governance, corporate philanthropy, and the challenges of balancing social and financial objectives in dual-purpose companies. She has authored numerous articles in top journals like Academy of Management Journal and Leadership Quarterly , and books such as Vers une philanthropie stratégique . Key awards include the 2020 Academy of Management Review Decade Award and the Francqui Chair. She has advised on cross-sector collaborations and led initiatives to maximize social impact through strategic philanthropy.

• Social Innovation
• Organizational Behavior
• Corporate Philanthropy
• +3 more