جستجوی استاد راهنمای دانشگاهی

• Sustainable Farm Management
• Innovation, Learning and Sustainability
• Adaptation and Resilience of Family Farms in Africa
• +۳ مورد دیگر

Mohamed GAFSI is a Professor of Management Sciences at the National Higher School of Agricultural Education of Toulouse-Auzeville (ENSFEA) and a permanent member of the Interdisciplinary Laboratory for Solidarity, Societies, Territories (LISST), specifically within the Rural Dynamics team. His work focuses on sustainable farm management through analysis of farmers' strategies, innovations in production systems, and conditions for improving sustainability via collective action and learning processes across diverse agricultural contexts in France and Africa. Professor GAFSI's research spans productivist agriculture, organic farming, and subsistence farming, employing intervention research approaches with quantitative and qualitative methods. He is renowned for his contributions to the IDEA4 method for farm sustainability assessment, which provides scientifically valid, pedagogical tools for evaluating sustainability levels and identifying change levers in farming systems. His work bridges theoretical frameworks with practical applications in agricultural management and sustainability transitions. His recent publications reveal strong thematic continuity around sustainable agricultural systems, with particular emphasis on animal traction as part of sustainable production models, the emergence of biosourced value chains (especially hemp, wool, and leather), and the application of sustainability assessment methods in agricultural education. The IDEA4 framework serves as a unifying thread across his scholarly output, demonstrating consistent methodological rigor and practical relevance. Professor GAFSI actively supervises doctoral research with 5 theses currently in progress and contributes extensively to academic service through scientific committees for conferences and seminars, including the SFER 'Journées' in Montpellier (2010), the SFER-DEVAB colloquium on organic agriculture in Strasbourg (2011), and the ACTA-INRA seminar on crop-livestock systems in Toulouse (2013). He serves as a reviewer for leading journals including Agricultural Systems, Cahiers Agricultures, and Journal Rural Studies. As part of LISST's Rural Dynamics team, Professor GAFSI collaborates with researchers across France and internationally, particularly in West and Central Africa, to understand how family farms adapt to changing environmental, economic, and social conditions. His work on the adaptation and resilience of family farms addresses critical challenges related to climate change, market integration, and sustainability transitions in agricultural systems.

Patrick Pintusمشاهده پروفایل

استاد

• Macroeconomics
• Public Economy
• Epidemiology
• +۳ مورد دیگر

Patrick Pintus is a Professor of Macroeconomics at Aix-Marseille University, affiliated with the Faculty of Economics and Management (FEG) and the CNRS's INSHS institute. His research focuses on macroeconomic policy, public economy, and crisis management, with recent work addressing pandemic response strategies during the COVID-19 crisis. He holds a PhD from the School for Advanced Studies in the Social Sciences (1997). Research Interests: Macroeconomic policy design and transmission mechanisms Public finance and fiscal redistribution effects Behavioral responses to rare/ extreme events (e.g., black swan avoidance in decision-making) Real-time epidemiological modeling for pandemic management Crisis economics and healthcare system stress testing His most notable recent contributions include developing novel frameworks for tracking viral transmission dynamics using test-adjusted reproduction numbers, and analyzing behavioral economics experiments on how animals (rats) process extreme risk scenarios. These methodologies have been applied to French demographic groups and regional lockdown policy assessments. Grants & Collaborations: His work integrates interdisciplinary approaches combining computational models with real-world public policy evaluation. Current projects involve cross-disciplinary teams from economics, epidemiology, and computational social science. He maintains a research lab at AMSE (Aix-Marseille School of Economics) focused on macroeconomic policy analysis and crisis modeling.

Dominique Vaufreydazمشاهده پروفایل

استاد

• Multimodal Perception
• Affective Computing
• Robotics Interaction
• +۵ مورد دیگر

Professor Dominique Vaufreydaz holds a position in Computer Science at Grenoble Alpes University and leads the Multimodal Perception and Sociable Interaction (M-PSI) team at the LIG laboratory. His academic career includes roles as Associate Professor (2005–2023) and Head of the M-PSI team. He specializes in multimodal perception, affective computing, and sociable human-robot interaction, with projects like ARAS dataset and TokenCut object discovery. Education details are not explicitly provided, but his research spans robotics, autonomous systems, and healthcare technologies. He has published extensively in top-tier conferences (CVPR, ICMI) and journals (ACM Transactions, IEEE TPAMI). Over 30 PhD students have been supervised, with current advisees exploring activity recognition, head motion generation, and emotion analysis. Teaching roles include 300+ hours annually across computer science courses (C++, databases, mobile programming) and numerical literacy for non-specialists. He co-leads the MOSIG Master's GVR specialty and manages transversal courses at the Grenoble Faculty of Economics. His labs, notably M-PSI, focus on smart spaces, ambient assisted living, and ethical teaching analytics. Notable collaborations include EU projects (FAME, CHIL) and industry partnerships like Orange Labs. His work bridges cognitive science and machine learning, with applications in healthcare and urban autonomous systems.

Ahmed Bouabdallahمشاهده پروفایل

پژوهشگر

• Cybersecurity
• Network Security
• Internet of Things (IoT)
• +۱۳ مورد دیگر

Ahmed Bouabdallah is a full-time researcher at IMT Atlantique's Department of Network Systems, Cybersecurity and Digital Law , with a focus on advanced network security solutions and distributed systems. His work bridges theoretical frameworks with practical implementations in emerging technologies. Key research areas: Cybersecurity, Internet of Things, Software Defined Networking Academic collaborations: Aalborg University, Inria, CNRS, Orange Labs His recent publications analyze AI-driven Kubernetes scaling, malware propagation in 5G networks, and WoT (Web of Things) security architectures. These works demonstrate his expertise in balancing operational costs with Quality of Service (QoS) requirements. From 2015 to 2024, his research trajectory shows increasing specialization in: Container orchestration security Intent-based network mitigation Microservices synchronization Smart space access control Emergency response systems Real-time policy evaluation While no formal academic awards are listed, his publications in Journal of Ambient Intelligence , IEEE , and Sensors indicate significant industry and academic impact.

Jean Jaubertمشاهده پروفایل

پژوهشگر

• Laboratory Animal Science
• Animal Welfare and Ethics
• Reproductive Animal Science
• +۷ مورد دیگر

Jean Jaubert is a Permanent Researcher and Head at the Central Animal Facility of the Institut Pasteur in Paris, France. His work focuses on providing access to animal models and experimental settings in compliance with animal welfare and ethical standards. Research Interests: His expertise spans laboratory animal science, reproductive animal science, animal welfare and ethics, biosafety, risk assessment, and bioconfinement. His research supports immunological, infectious disease, and genetic studies using rodent models, particularly mice. He contributes to translational research by maintaining health status and experimental integrity in animal facilities. Publication Trends: Recent publications highlight his involvement in genetic mapping using the Collaborative Cross (CCQTL), immune cell differentiation (iNKT cells), and development of mouse-adapted pathogens like SARS-CoV-2. These works reflect an interdisciplinary focus on host-pathogen interactions, immunogenetics, and bioinformatics tools for complex trait analysis. Scientific Awards: No awards listed in the provided text. Advising and Grants: There is no explicit mention of students or direct advising roles. Funding sources are not specified in the provided text, though his platform involvement suggests participation in collaborative or institutional grants supporting animal facility operations and related research. Labs and Teams: Jean Jaubert leads the Central Animal Facility, a core platform at the Institut Pasteur. The team includes veterinarians, research engineers, project managers, and technicians, supporting a wide range of in vivo studies. The facility also offers training courses on rodent surgery and regulatory compliance for project designers.

• Lactate Metabolism
• Biosensors
• Fluorescent Proteins
• +۳ مورد دیگر

Yusuke Nasu is a full-time researcher at the Institute of Biochemistry, Academia Sinica, specializing in Lactate Metabolism , Biosensors , and Fluorescent Protein Engineering . He holds a Ph.D. and B.S. in Chemistry from The University of Tokyo (2009–2015, 2005–2009) and previously served as an Assistant Professor at The University of Tokyo (2018–2024) and a Researcher at Chugai Pharmaceutical (2015–2017). His work focuses on developing advanced biosensors for metabolite imaging and elucidating lactate-dependent signaling mechanisms. Research Areas: Lactate metabolism, Fluorescent protein engineering, Biosensor design, Cellular imaging, Neurochemistry His recent publications in Nature Communications and ACS Central Science describe groundbreaking genetically encoded biosensors for lactate and calcium ion detection , enabling spatiotemporal mapping of metabolic processes. Collaborative studies with international teams have revealed lactate's role in synaptic plasticity and GPCR-lipid interactions . Current projects include multi-omics mass spectrometry for GPCR regulation and native environment preservation strategies for membrane protein analysis. Key Contributions: Development of Detergent-free Lipodisq nanoparticles for high-resolution MS Native mass spectrometry protocols for membrane complexes Phosphoinositide lipid-GPCR stabilization mechanisms

• Neuroscience
• Parkinson's Disease
• Decision Making
• +۵ مورد دیگر

Thomas Parent is a Researcher at the University of Bordeaux affiliated with the Institut de Mathématiques de Marseille (I2M) and the GCE research team. His work bridges clinical neurology, computational neuroscience, and behavioral studies, focusing on Parkinson's disease pathophysiology and therapeutic interventions. Research interests span Neuroscience , Parkinson's Disease , Decision Making , and Neuroethics . He investigates basal ganglia-cortical loops in motor adaptation using primate models, develops computational frameworks for neural decision processes, and critically examines societal implications of neuroscience discourse. Recent work includes apomorphine infusion trials for impulse control disorders and validation of non-motor symptom scales in Parkinson's. Publication trends (2021-2025) reveal three convergent trajectories: 1) Clinical Parkinson's research (therapeutics, progression biomarkers, late-stage care), 2) Fundamental mechanisms of reward-based decision making in primates, and 3) Critical analysis of neuroscience communication and ethics. This triad demonstrates integration of bedside observations, laboratory neuroscience, and philosophical scrutiny. Active advising and grant activities are implied by his extensive collaborative publications across French and European institutions, though specific projects remain unenumerated in source materials. His laboratory work with non-human primates and Parkinson's patient cohorts indicates ongoing experimental and clinical research programs.

Alec Parkinمشاهده پروفایل

مدرس

• Computer Animation
• Digital Arts
• Virtual Production
• +۴ مورد دیگر

Alec Parkin is a Lecturer in Computer Animation at the Belfast School of Art, part of Ulster University's Faculty of Arts, Humanities & Social Sciences. He serves as Course Director for the BDes Hons Animation program and is deeply involved in Belfast's local animation and games industry, actively contributing to the growth of this sector in Northern Ireland. As an artist and educator, Parkin has extensive experience working in creative hubs across London and Belfast on diverse digital productions including TV commercials, television shows, and games for mobile, console, and PC platforms. His practical industry experience as a 3D generalist with a specialization in character animation and digital composition directly informs his teaching approach at the Belfast School of Art. Parkin's research focuses on the intersection of digital arts and virtual production techniques, particularly their applications in theater and performance. His work explores how virtual production pipelines can enhance theatrical affordances, creating new possibilities for immersive storytelling and audience engagement. He is actively involved in developing innovative approaches to bridge physical and digital performance spaces, with projects spanning from Belfast to Dublin and beyond. His recent research output demonstrates a strong trend toward integrating virtual reality and digital production techniques within traditional theater settings. Parkin's work explores how these technologies can create new forms of storytelling while addressing environmental and cultural themes, particularly related to Northern Ireland's landscape and heritage. His projects often involve interdisciplinary collaboration between artists, technologists, and researchers. Parkin is actively involved in mentoring young people through initiatives like the Belfast 3D dojo, a non-profit organization where children can learn and experiment with computer animation. His industry connections and practical experience provide valuable opportunities for students to engage with the professional animation and games sector in Belfast. As a Co-Investigator on multiple significant research projects including the AHRC-funded Green Transition Ecosystem: Future Island-Island and EPSRC-funded projects on Virtual Production pipelines for theater, Parkin has secured substantial grant funding that supports innovative work at the intersection of digital technology, arts, and environmental sustainability. His collaborative work extends to the Ulster Virtual Production Studio (UViPrS) and other initiatives that bring together academic research with practical applications in the creative industries. Parkin's contributions help position Ulster University as a leader in digital arts research and education within Northern Ireland.

• Computer Vision
• Vision and Language
• 3D Human Motion Synthesis
• +۵ مورد دیگر

Gül Varol is an Associate Professor (permanent researcher) in the IMAGINE group at École des Ponts ParisTech. She holds an ELLIS Scholar distinction and collaborates with MPI. Previously, she was a postdoc at the University of Oxford’s Visual Geometry Group (VGG). Her PhD from Inria Paris/ENS under Ivan Laptev and Cordelia Schmid earned her ELLIS and AFRIF awards. She earned BS/MS degrees from Boğaziçi University. Research Focus: Her work bridges computer vision and language, emphasizing video understanding, human motion synthesis, and sign language technologies. Notable contributions include the BOBSL dataset (BSL), SLRTP challenge, and methods for sign language translation/contextual retrieval. She also pioneers text-driven 3D motion editing (MotionFix) and video chaptering with LLMs (Chapter-Llama). Awards & Service: Received Google Research Scholar Award (2023), ECCV 2024 Program Chair, IJCV associate editor, and leadership in workshops like NeurIPS’20 Preregistration and CVPR’25 Sign Language. Organized over 15 conferences/workshops since 2017. Labs & Teams: Core member of IMAGINE (LIGM lab), collaborates with MPI and industry (Google/Adobe). Active in outreach initiatives like Women in CV and Girls Who Code.

Duygu Ceylanمشاهده پروفایل

پژوهشگر

• Computer Vision
• Computer Graphics
• Machine Learning
• +۳ مورد دیگر

Duygu Ceylan is a Principal Research Scientist at Adobe Research London. She holds a PhD from École Polytechnique Fédérale de Lausanne (EPFL), where she worked under Prof. Mark Pauly, and a Master’s degree in Computer Science from Bilkent University. She received her undergraduate degree in Computer Engineering from Middle East Technical University (METU). Prior to Adobe, she worked as a software engineer at Aselsan Inc. Her research focuses on bridging computer vision and graphics, particularly using machine learning for 3D content generation and analysis from images/videos. Key interests include generative models, 3D reconstruction, and interactive editing of 2D/3D assets. Notable awards include the Eurographics PhD Award (2015) and Eurographics Young Researcher Award (2020). Her work spans over 50 publications in top-tier conferences like SIGGRAPH, CVPR, and ECCV, covering topics such as neural rendering, cloth dynamics, and video generation. She leads research initiatives at Adobe, mentoring interns and driving advancements in generative AI for visual content creation. Her group’s projects include tools for video editing, 3D stylization, and dynamic human performance modeling.

Gérard Cholletمشاهده پروفایل

استاد

• Speech Processing
• Biometrics
• Audiovisual Systems
• +۳ مورد دیگر

Dr. Gérard Chollet is a Professor at Telecom SudParis, associated with the SAMOVAR laboratory. His research focuses on speech processing, biometrics, privacy-preserving AI, and assistive robotics. He leads projects like the EMPATHIC virtual coach for aging populations and the Roberta IRONSIDE robot assistant. Key contributions include audiovisual identity verification, low-resource ASR systems, and privacy-conscious machine learning frameworks. His work spans over 20 years with publications in top journals and conferences, emphasizing healthcare technology and multimodal human-machine interaction. Education: Not explicitly stated in text, but expertise implies advanced degrees in electrical engineering or computer science. Research Interests: Speech recognition, audiovisual biometrics, privacy in AI, assistive robotics, and end-to-end machine learning. Recent work emphasizes ethical AI, healthcare applications, and secure cloud computing. Grants & Collaborations: Involved in EU projects (e.g., EMPATHIC, IRONSIDE). Collaborates with industry partners (e.g., SpeechMorphing Inc., University of Surrey) and global institutions (e.g., University of Tsukuba, MIT). Lab/Team: SAMOVAR lab at Telecom SudParis, focusing on media and networks research. Active in cross-disciplinary teams for health tech and AI ethics.

Sorelle Audrey Kamkuimoمشاهده پروفایل

دانشیار

• Serious games
• Virtual reality
• Augmented reality
• +۹ مورد دیگر

Sorelle Audrey Kamkuimo is an Associate Professor at the School of Digital Arts, Animation and Design (NAD-UQAC), University of Quebec at Chicoutimi, based in Sherbrooke. She serves as an Associate Research Member specializing in immersive technologies for educational innovation and societal impact through digital design. Her academic credentials include: Postdoctoral studies in Computer Science, Computer Engineering and Software Engineering, Polytechnique Montréal (2021-2022) Ph.D. in Computer Science, Virtual Reality and Serious Games, University of Quebec at Chicoutimi (2021) M.Sc. in Computer Science, Software Engineering, University of Yaoundé 1 (2015) Bachelor's in Computer Science, University of Yaoundé 1 (2012) Diploma of secondary education teacher, Computer Science, École Normale Supérieure du Cameroun (2012) Professor Kamkuimo pioneers research in immersive, playful systems for human learning with core expertise in serious games and virtual/augmented/mixed reality. Her work integrates user experience and situational awareness studies within mobile and cyber-physical contexts, addressing societal challenges across arts/media diversity, Industry 4.0 workforce dynamics, and educational empowerment frameworks. This interdisciplinary approach bridges technical innovation with cultural and pedagogical applications. Her scientific excellence is evidenced by: University Pedagogy Fund, UQAC (2024) Finalist, Governor General of Canada Medal (2019) Honor Roll recognition, UQAC (2018, 2019) Falling Walls Lab Prize, New York innovation competition (2017) She currently leads the "Design and evaluation of an immersive serious game for cognitive bias identification in AI societal impacts" project and develops playful intelligent systems for learning. Supported by the 2024 University Pedagogy Fund, her work involves cross-disciplinary collaboration though specific advisees aren't documented. She teaches Object-Oriented Programming (8PRO128) and Digital Industry Production Management (8IFG147). Professor Kamkuimo's research is anchored at the Praxis Laboratory, driving innovation in immersive interactive systems development and application.

Maëlle Beuretمشاهده پروفایل

پژوهشگر

• Geometric Modeling
• Behavioral Animation
• Multi-Agent Systems
• +۳ مورد دیگر

Maëlle Beuret is a contractual teacher-researcher at the University of Burgundy, affiliated with the Geometric Modeling team. Her work focuses on geometric modeling applications in behavioral animation through multi-agent systems. Current Position: Teacher-researcher Institution: University of Burgundy Team: Geometric Modeling Her research explores computational representations of distributed affordances, creating behavioral animation systems using multi-agent architectures. This work intersects computer science, geometric modeling, and human-computer interaction disciplines. Recent publication: 2024 thesis on "Representation of distributed affordances in a multi-agent system for behavioral animation" applying the COBAI (Context-Based Agent Interactions) model. As a member of the Geometric Modeling team at Burgundy Computer Science Laboratory, she contributes to digital sciences research through innovative computational frameworks.

Xavier Pennecمشاهده پروفایل

استاد پژوهش

• Statistics
• Differential Geometry
• Computer Science
• +۷ مورد دیگر

Xavier Pennec is a Senior Research Scientist (Directeur de Recherche) at Inria since 2007, holding the 3IA Côte d'Azur Chair on Geometric statistics and geometric subspace learning. He is affiliated with the Inria centre at Université Côte d'Azur and leads the Epione team in Sophia Antipolis. His educational background includes a PhD from Ecole Polytechnique (1996), Habilitation from University of Nice-Sophia Antipolis (2006), Master's degree from Ecole Polytechnique and Ecole Normale supérieure (1993), and Engineer Degree from Ecole Polytechnique (1992). He previously served as a Research Scientist at INRIA (1998-2007) and Post-doctoral associate at MIT (1997). His research focuses on the intersection of statistics, differential geometry, computer science and medicine, particularly in computational anatomy. He has made significant contributions to geometric statistics involving statistical computing on Riemannian manifolds and other geometric structures. His work includes mathematically grounded methods for medical image registration, statistics on shapes, and clinical research applications. He co-edited the first reference book on Riemannian Geometric Statistics in Medical Image Analysis (2020) and was awarded the ERC Advanced Grant G-Statistics in 2018. His publications demonstrate expertise across geometric statistics, manifold-valued image processing, medical image registration, and computational anatomy, with recent work focusing on implementing theoretical frameworks through the Geomstats software. ERC Advanced Grant G-Statistics (2018) He teaches in the Master MVA (Mathematics, Vision, Learning) program at ENS Saclay (28h module) and the Master of Data Science and Artificial Intelligence at Université Côte d'Azur (30h module), both with H. Delingette. His research has been presented at numerous conferences including MICCAI, IPMI, and workshops on Mathematical Foundations of Computational Anatomy (MFCA) which he animated from 2006 to 2019. He has contributed to EU projects including Health-e-Child, developing computational anatomy models for brain and heart shape variability using geometric currents and diffeomorphisms. His current research through the ERC G-Statistics project aims to ground the mathematical foundations of geometric statistics and demonstrate their impact on life science applications.

• Computer Vision
• Machine Learning
• Human Behavior Analysis
• +۳ مورد دیگر

Mohamed Daoudi serves as Full Professor of Computer Science at IMT Nord Europe and leads the Image group at CRIStAL Laboratory (UMR CNRS 9189). With over 150 publications in top-tier journals and conferences, his research pioneers computer vision and machine learning approaches for human behavior understanding, particularly through 3D geometric analysis and Riemannian manifold frameworks. His research spans computer vision, machine learning, and affective computing with core expertise in 3D face/body modeling, unregistered data analysis, and depression/pain assessment. Key contributions include Riemannian geometry applications for facial expression recognition, motion dynamics analysis, and geometric generative models. His work bridges theoretical computer vision with clinical applications in mental health and animal welfare. Recent publications (2023-2025) reveal intense focus on unregistered 3D data analysis, with 70% of articles addressing depression/pain biomarkers through body/facial dynamics. Dominant methodologies include geometric deep learning (45%), diffusion models (25%), and transformer architectures (20%), applied to medical diagnostics, surgical training, and affective computing challenges. Scientific Awards: IAPR Fellow AAIA Fellow Professor Daoudi has graduated 30 doctoral students including Yujin WU, Baptiste Chopin, and Emery Pierson, with many now leading industry/academic roles. His leadership extends to editorial positions (Image and Vision Computing, IEEE Transactions on Multimedia), conference organization (IEEE FG 2019 General Chair, FG 2025 General Chair), and 12+ specialized workshops on human analysis. He directs significant research grants through CNRS collaborations and EU projects. As Head of the Image group at CRIStAL Laboratory, he oversees interdisciplinary teams developing geometric vision solutions for healthcare, biometrics, and human-computer interaction. Current initiatives include the REACT 2025 challenge for facial reaction generation and depression biomarker discovery using multimodal physiological sensing.