جست‌وجوی استاد و پژوهشگر

Tiago Cogumbreiroمشاهده پروفایل

استادیار

• Program Analysis
• GPU Programming
• Parallel Programming
• +۵ مورد دیگر

Tiago Cogumbreiro is an Assistant Professor at the University of Massachusetts Boston, specializing in formal methods and high-performance computing. His research focuses on detecting concurrency errors like data-races and deadlocks in GPU programs, with a strong emphasis on static analysis and correctness proofs. PhD from University of Lisbon Postdoc at Georgia Tech and Rice University Research assistant at Imperial College London His work spans program analysis, GPU programming, and parallel computing, addressing challenges in concurrency verification and error localization. Key contributions include developing tools for static analysis of GPU kernels, formalizing automata theory in education, and creating frameworks for model checking hierarchical systems. Recent publications highlight trends in data-race detection via array projections, concurrency repair with resource cost analysis, and mechanized computational theory for educational purposes. His personal website details ongoing projects and affiliations with the Software Verification Lab .

• Machine Learning
• Maritime Engineering
• Robotics
• +۴ مورد دیگر

Shengkai Zhang is an active researcher with 26 publications and 444 citations spanning engineering, computer science, and environmental disciplines. His work demonstrates strong interdisciplinary collaboration through co-authorship with researchers like Kezhong Liu and Mozi Chen across multiple high-impact venues including IEEE conferences, arXiv, and specialized journals. His research interests center on Machine Learning applications in maritime systems , with significant contributions to Large Language Model integration for ship navigation, wireless sensing for bridge officer monitoring, and sensor fusion techniques. Additional expertise spans robotics perception (visual-inertial systems, mmWave radar enhancement), environmental modeling (urban energy systems, climate studies), and biomedical applications of traditional medicine. Recent work shows increasing focus on AI foundation models and their security implications. Zhang's publication trajectory reveals consistent output with accelerating impact since 2023, featuring 15+ papers in 2024 alone. His research clusters around three core themes: Maritime AI Systems (LLM navigation, track association, watchkeeping monitoring) Advanced Sensing Technologies (mmWave radar, Wi-Fi sensing, GNSS fusion) Environmental & Biomedical Applications (urban energy modeling, gut microbiome studies) These areas demonstrate both technical depth in signal processing/computer vision and practical focus on real-world engineering challenges.

• Biomechanics
• Neuromechanics
• Neurophysiology
• +۳ مورد دیگر

Raphaël Hamard is an Associate Professor (MCF) at the Université de Bourgogne, affiliated with the Faculté des Sciences du Sport (UFR STAPS). His research focuses on biomechanics, neuromechanics, and neurophysiology, particularly the interaction between the central nervous system and musculoskeletal system. He holds a PhD in Movement and Sport Science from Nantes University (2023), with postdoctoral fellowships at Nantes University (2024) and The University of Queensland (2023). His work explores muscle coordination in the gastrocnemius muscles during locomotion and tasks like knee flexion and plantar flexion. Key research areas include muscle fascicle behavior, neural control strategies, and biomechanical modeling using techniques like B-mode ultrasound and electromyography. His recent publications analyze force distribution in muscles during walking and the impact of imaging data on model accuracy. He collaborates with institutions like the Motricité, Interactions, Performance (MIP) lab and the CAPS research center in Dijon.

Charalambos Papaxanthisمشاهده پروفایل

استاد

• Neuroscience
• Motor Control
• Motor Learning
• +۵ مورد دیگر

Charalambos Papaxanthis is a Professor and Director of the CAPS Laboratory (UMR INSERM 1093) at the University of Burgundy's Faculty of Sport Sciences (UFR Staps). His research focuses on motor control, cognitive neuroscience, and sensorimotor integration, particularly under altered gravitational conditions. He holds advanced degrees from the University of Burgundy, including a 1998 PhD and 2004 habilitation in neuroscience. His work employs methods such as 3D motion analysis, EMG, TMS, and computational models to explore how the brain processes motor tasks and integrates gravity. Key themes include motor learning through mental imagery and observation, and neurorehabilitation applications. He leads studies like the IMPROVE trial investigating muscle vibrations' role in stroke recovery. His lab (CAPS) is part of INSERM, emphasizing translational research in health and motor performance.

• Computational Neuroscience
• Motor Control
• Machine Learning
• +۳ مورد دیگر

Elizabeth Thomas is an Associate Professor at the University of Burgundy, affiliated with the Institut Marey. She holds an HDR (Habilitation à Diriger les Recherches) in Neuroscience and a Ph.D. in Chemistry from the University of Texas, Austin, along with a Bachelor's in Chemistry (summa cum laude) from St. John’s University, New York. Her research focuses on computational neuroscience, motor control, and embodiment of cognition. She employs machine learning techniques to analyze electrophysiological recordings in the motor cortex and investigates how motor control strategies adapt across aging and neurological conditions. Key themes include neural network dynamics, neuromuscular coordination, and the intersection of movement and cognitive processes. Her teaching includes courses such as Introduction to Neuroscience, Neuroscience for Rehabilitation, and MATLAB programming for engineers. Over 15 years, she has published extensively on motor control mechanisms, temporal processing, and computational models of neural activity. Notable recent work includes studies on neural clustering in primate motor cortices and machine learning applications in movement analysis. Dr. Thomas collaborates on projects related to assistive technologies and aging motor systems. Her work bridges basic neuroscience with clinical applications, aiming to improve rehabilitation strategies through computational insights.

Virginie Galtierمشاهده پروفایل

پژوهشگر

• Distributed Computing
• Grid Computing
• Parallel Processing
• +۵ مورد دیگر

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

Jean-François Rouetمشاهده پروفایل

پژوهشگر

• Reading Literacy
• Digital Reading
• Information Search
• +۳ مورد دیگر

Jean-François Rouet is a Researcher at the University of Poitiers , affiliated with the Written Language team at the Center for Research on Cognition and Learning (CeRCA) . He specializes in cognitive processes related to reading literacy and digital information interaction, with a focus on adolescents and young adults. Doctorate in Psychology (University of Poitiers, 1991) Postdoctoral research at University of Pittsburgh (1991-1993) and INRIA (1993-1994) His research explores purposeful reading, hypertext navigation, and evaluation of multiple information sources. He co-developed the RESOLV model (2018) and investigates digital reading strategies in educational contexts. Recent projects include studying attention interruptions in text comprehension and reading strategy acquisition in adolescents. Active in international assessment programs, Rouet chairs the PISA 2018 reading literacy expert group and contributes to the OECD’s PIAAC study. He has co-directed six doctoral students since 2012 and collaborates on grants like the SELEN project funded by France’s National Research Agency.

• Supply Chain Management
• Project Management
• Behavioral Operations
• +۷ مورد دیگر

CHEN Yen-Tsang is an Assistant Professor at Neoma Business School , specializing in Information Systems, Supply Chain Management, and Decision Support . He earned his PhD in Business Administration from FGV EAESP in 2015 after a decade-long career as an engineer and project manager at firms like Alstom and Metro of Rio de Janeiro. Currently, he leads the MSc Management de Projet program at Neoma's Paris campus and teaches Operations Management, Purchasing, and Operations Research . Education : PhD in Business Administration (FGV EAESP, 2015), Mechanical Engineering background His research focuses on behavioral operations , resilient supply chains , and project management , employing controlled experiments , discrete choice analysis , and surveys . Recent work examines cross-national supply chain resilience , dynamic control systems , and ethical challenges in purchasing , with publications in IJOPM , JCLP , and conferences like POMS and EUROMA . Recent article trends reveal a focus on sustainability , resilience in global supply chains , and behavioral impacts in operations . Notable collaborations include studies on structural complexity validation and forecasting biases . Chen integrates experimental methods and cross-cultural analysis in his work, addressing multitasking inefficiencies , collaboration risks , and management control systems . He contributes to experimental pedagogy through Neoma's Experimental Lab and participates in international research partnerships like VISTA AR and BluePrint Intao .

Florence Soriano-Gafiukمشاهده پروفایل

استاد

• Mathematical knowledge taught
• History of mathematics
• Circulation of scientific knowledge
• +۶ مورد دیگر

Florence Soriano-Gafiuk is a Professor at the University of Lorraine, affiliated with the INSPÉ of Lorraine and INTERFACE College. Her research focuses on cross-cultural analysis of mathematical knowledge in French and German educational systems, history of mathematics, and micro-violence in education. Director of INTERFACE College (INSPE, ISFATES, UFR LANSAD) Co-leader of KILA research projects Education in mathematics (CAPES, Aggregation, DEA, Doctorate) Her research explores: Franco-German comparative pedagogy History of mathematics and knowledge circulation Bilingual teacher training practices Micro-violence and micro-attention in classrooms Praxeologies in educational systems Textbook analysis and societal construction Recent publications (2023-2025) examine estimation tasks, embodied cognition in math, fraction notation differences, and micro-violence trends, with interdisciplinary focus on education, history, and public policy. Scientific honors include: Academic Palms Officer Knight of the National Order of Merit (2025) She leads teacher training programs, organizes research awareness events, and contributes to educational exhibitions like 'The Universe of Numbers.'

• Signal Processing
• Medical Imaging
• Machine Learning
• +۳ مورد دیگر

Dr. Saïd Moussaoui is a Professor in the Department of Automation and Robotics at École Centrale de Nantes , affiliated with the Nantes Digital Sciences Laboratory (LS2N) and the Signal, Image and Sound research team. His work spans machine learning, medical imaging, and signal processing, with a focus on EEG-based mental workload classification, PET reconstruction, and 4D Flow MRI optimization. Research Areas : Signal Processing, Medical Imaging, Machine Learning, Neuroscience, Biomedical Engineering Labs/Teams : LS2N Laboratory, Signal, Image and Sound Team Recent publications highlight trends in graph learning for EEG analysis, deep learning regularization in PET imaging, and super-resolution techniques in cardiovascular MRI. His research integrates physics-based models with data-driven approaches for applications in healthcare and industrial predictive maintenance. The LS2N laboratory provides a multidisciplinary environment for his work, combining advanced computational methods with real-world applications in biomedical engineering and robotics. Collaborations with institutions like IEEE and projects on digital twins underscore his technical leadership in applied research.

• Cognitive Psychology
• Psycholinguistics
• Morphological Processing
• +۵ مورد دیگر

Hélène Giraudo is a CNRS researcher affiliated with the Cognition, Languages, Language, Ergonomics (CLLE) at University of Toulouse Jean Jaurès. She works in the Languages and Language team, focusing on psycholinguistics and cognitive psychology. Research Interests: Her work bridges cognitive psychology and psycholinguistics, with emphasis on morphological processing, mental lexicon modeling, and language acquisition. Key areas include affix processing, written production in children, and bilingualism. Morphological decomposition in French Phonotactic constraints in L1 acquisition Word perception in expert vs. apprentice readers Article Trends: Recent publications explore morphological salience in French words, cross-linguistic priming effects, and L2 processing mechanisms. She frequently uses experimental methods like letter-search tasks and masked priming. Teaching: She teaches psycholinguistics and linguistics at University of Toulouse Jean Jaurès, integrating her research into courses on cognitive psychology and language sciences.

• Syntax
• Morphosyntax
• Syntactic Variations
• +۵ مورد دیگر

Juliette THUILIER is a Lecturer in the Department of Language Sciences at Toulouse Jean Jaurès University (UT2J), where she maintains offices at both the CLLE-ERSS Research House (B505) and the UFR LLCE (LA375). She is an active member of the LL (Languages and Language) team within the CLLE Laboratory (Cognition, Languages, Ergonomics). Her research focuses on syntax and morphosyntax, with particular attention to syntactic variations, phenomena of syntactic alternation, and corpus data in syntax (especially oral corpora). THUILIER employs quantitative and experimental approaches to investigate linguistic phenomena, frequently examining word order patterns in French including adjective placement and postverbal complement ordering. Her recent publications reveal a strong methodological trend combining corpus analysis with experimental techniques such as acceptability judgment tasks and sentence production experiments. Her work spans theoretical syntax, experimental linguistics, and quantitative approaches, often investigating how factors like animacy, semantic roles, prototypicality, and dependency length influence syntactic choices. While primarily focused on French, her research also includes cross-linguistic comparisons, such as her work comparing French and Serbian adjective placement. THUILIER teaches across multiple academic levels: L1 Diversity of languages, L2 Syntax of the simple sentence, L3 Syntax of the complex sentence, L3 Theoretical syntax, L3 Lexical morphology, Master Experimental syntax, and Master Prosody and syntax/prosody interface. She is deeply integrated with the CLLE Laboratory, contributing to research on language cognition and ergonomics through numerous collaborations with researchers across various institutions. Her work demonstrates a commitment to bridging theoretical syntax with empirical data collection methods, providing valuable insights into syntactic variation and the cognitive processes underlying language production.

• Cognitive Psychology
• Cognitive Ergonomics
• Information Retrieval
• +۵ مورد دیگر

Aline Chevalier is a University Professor (PU-CE1) in Cognitive Psychology and Ergonomics at Toulouse Jean Jaurès University, affiliated with the CLLE Laboratory (Cognition, Languages, Ergonomics). She has been teaching within the UFR of Psychology since September 2014, following prior academic positions at Paris Ouest Nanterre La Défense University and Aix-Marseille University. Her research focuses on information retrieval on the Internet, particularly examining how cognitive aging, prior knowledge/expertise, and task complexity affect web search behavior. More recently, she has expanded her work to include health literacy and misinformation credibility. Her research spans both traditional search engines and generative AI interfaces. Professor Chevalier's publication record shows consistent output in top journals including Behaviour and Information Technology, Applied Ergonomics, and Computers in Human Behavior, with recent work (2023-2025) examining exploration-exploitation trade-offs in search strategies, medical information seeking, and aging effects on web navigation. Her research often employs eye-tracking and behavioral analysis methods to understand information processing differences. She serves as co-responsible for the PEPSCO master's research program at UT2J, is editor-in-chief of the journal Psychologie Française , and is an elected member of both the CLLE unit council and CNU 16. She also serves on the board of the French Psychological Society. Professor Chevalier has supervised numerous doctoral students across topics related to information search, cognitive aging, and ergonomics, with current supervision of Nathan Vital (since March 2025) and recent completions by Francisco Martin-Gomez (September 2024) and Cheyenne Dosso (May 2024).

• Gestural communication
• Language development
• Hemispheric specialization
• +۹ مورد دیگر

Dr. Hélène Cochet is a Lecturer in Developmental Psychology at the University of Toulouse Jean Jaurès, affiliated with the Cognition, Languages, Ergonomics Laboratory (CLLE - UMR 5263, CNRS). Her research focuses on gestural communication, language development, hemispheric specialization, manual laterality, and human-robot interaction from both developmental and evolutionary perspectives. Research Themes: Gestural communication in human development Language acquisition mechanisms Hemispheric specialization and manual laterality Human-robot joint action dynamics Cognitive evolution across species Recent Article Trends: 2024 work on infant peer interactions and multimodal communication Cross-cultural humor analysis in French-Japanese comparisons 2022 exploration of joint action challenges in robotics 2016-2020 studies on cerebral lateralization and gesture-language relationships Collaborations: International partnerships in Denmark, Japan, and Italy Interdisciplinary work with robotics, cognitive science, and philosophy Contact: helene.cochet@univ-tlse2.fr

• Natural Language Processing (NLP)
• Computational Linguistics
• Corpus Linguistics
• +۶ مورد دیگر

Cécile Fabre is a Professor of Language Sciences at the University of Toulouse 2 - Jean Jaurès, affiliated with the CLLE laboratory (Cognition, Languages, Ergonomics). She serves as Director of the Maison des Sciences de l'Homme et de la Société de Toulouse (MSHS-T, UAR 3414) and Co-head of the H-SHS (Humanities, Human and Social Sciences) research center of the Comue de Toulouse. Her research focuses on Natural Language Processing (NLP) , Computational Linguistics , and Corpus Linguistics , particularly in extracting semantic information and lexical relations using Distributional Semantics . She has contributed to understanding discourse structures, medical interactions, and morphological derivatives in French. Research Trends include: Distributional Semantics applications in lexical substitution and specialized corpora Discourse organization through empirical analysis and annotated corpora Semantic discrimination of nominalizations and technical terms Corpus-driven studies in French linguistics and NLP Methodological innovations in linguistic annotation and semantic modeling Interdisciplinary collaborations in medical discourse and cognitive sciences