Guibourg Delamotte is a tenured Full Professor of Political Science and head of the Japanese Studies Department at the French Institute of Oriental Studies (Inalco), where she has been affiliated since 2006. She also teaches at Sciences Po Paris and holds international research fellowships at the University of Tokyo’s Research Center for Advanced Science and Technology (RCAST), Temple University Japan, and the Japan Forum on International Relations (Tokyo). Her career spans Japanese defense policy, domestic politics, parliamentary institutions, and Indo-Pacific security dynamics. Education: Law, University of Paris Panthéon Assas Law, University of Oxford Japanese (BA, MA), Inalco Political Science, Sciences Po Paris PhD in Political Studies, EHESS (2007, Highest Honours, Shibusawa-Claudel Award) Habilitation à Diriger des Recherches, Sciences Po Paris (2022) Her research focuses on Japanese domestic and foreign policy, parliamentary governance, defense modernization, and Indo-Pacific security. She has authored/co-edited eight books, including Le Japon, un leader discret (Eyrolles, 2023) and La Démocratie au Japon, singulière et universelle (ENS Ed., 2022), and over 20 journal articles and book chapters. Recent publications emphasize Japan's strategic evolution in the Indo-Pacific, AUKUS implications, and democratic governance challenges. She examines security policy intersections with domestic politics, legal frameworks, and international alliances. Scientific Awards: Shibusawa-Claudel Award for PhD dissertation Highest Honours (PhD, EHESS) Delamotte leads the French Research Institute on East Asia (IFRAE)’s program on Contemporary East Asia's trajectory. She serves on the National Academic Council’s Political Science Section (CNU, Section 4) and contributes to policy debates through academic and governmental institutions.
جستجوی استاد راهنمای دانشگاهی
برای مسیر پژوهشیتان، استاد راهنما، استاد دانشگاه و پژوهشگر مناسب را پیدا کنید و با آنها ارتباط بگیرید.
نمایش ۱-۱۵ از ۳۹ استاد راهنما
اطلاعات پروفایلها از صفحات عمومی دانشگاهها گرفته شده و ممکن است بهروز نباشد.
David Daney is a Senior Researcher (Directeur de recherche) at Inria and HDR-qualified academic, currently serving as Head of Science for the Inria Center at the University of Bordeaux since July 2024. He is the team leader of the Auctus research group, focusing on robotics, cobotics, and human-robot interaction. He is affiliated with Inria and the École Nationale Supérieure de Cognitique (ENSC) at the University of Bordeaux, within the College of Engineering and the Department of Robotics. His research interests include Robotics, Cobotics, Human-Robot Interaction, Human Posture Analysis, Cable-driven Robots, Parameters Identification, Calibration, Interval Analysis, and Haptic Guidance. His work bridges theoretical robotics with industrial applications, particularly in aerospace, automotive, and sustainable agriculture. He has led and participated in numerous industrial collaborations with Airbus, Stellantis, Solvay, AKKA, and Farm3. His recent publications (2023–2025) demonstrate a strong focus on human-robot physical interaction, including real-time capacity estimation (Pycapacity), haptic guidance, model predictive control for dynamic environments, and musculoskeletal modeling for collaborative robotics. These works appear in top-tier journals such as IEEE Transactions on Robotics, Journal of Biomechanical Engineering, and Robotics and Autonomous Systems. HDR (Habilitation à Diriger des Recherches) Principal Investigator of ANR Pacbot Head of Science for Inria Center at University of Bordeaux Erdös number = 3 David Daney supervises multiple PhD students, including Alicia Barsacq, Ahmed-Manaf Dahmani, and Alexis Boulay. He has been principal investigator in several research projects such as LiChIE and ANR Pacbot, focusing on satellite production and human-robot collaboration. He also leads the SHAARE associate team with KAIST’s IRiS lab, advancing shared haptic control. His team develops tools for teleoperation, ergonomic analysis, and robot calibration, with applications in industrial and assistive robotics. He leads the Auctus team at Inria, which develops control and analysis techniques for human-robot physical interaction. The team collaborates with KAIST (SHAARE), ONERA, Pprime Institute, and industrial partners. The MOVER project studies human motor variability for ergonomics, and the Farm3 collaboration explores teleoperated vertical farming robotics.
- Robotics
- Cobotics
- Human-Robot Interaction
- +۱۴ مورد دیگر
Hardy Mylene is a Lecturer at the National Institute of Oriental Languages and Civilizations (INALCO) in France. Her academic work focuses on intercultural and international communication within the PLIDAM research team. Academic Rank: Lecturer Institution: National Institute of Oriental Languages and Civilizations Department: Intercultural and international communication Research Areas: Epistemology of communication, Chinese communication, organizational communication, economic intelligence Teaching: Contemporary concepts in communication, socio-cognitive psychology, public/cultural diplomacy, "nation branding" Research Themes: Communication competence, theories of organization, economic intelligence, Chinese communication, complexity theories Her research explores communication strategies in Chinese society, cultural diplomacy, and organizational communication frameworks. She has contributed to studies on cognitive warfare, public diplomacy implementation, and pandemic communication strategies. Hardy's work bridges French and Chinese communication practices through digital and organizational lenses. She works with the PLIDAM research team and has directed the Com2I sector (formerly CFI). Her publications cover topics like: Japans cognitive warfare concepts and postures Organizationality in French cultural diplomacy Chinese pandemic strategies Maoist communication structures Louvre museums communication in China Guanxi networks in China-Africa relations While specific awards and student advisement details aren't provided, her work consistently examines communication systems across cultural, political, and organizational boundaries in Asian contexts.
Maxime Billotمشاهده پروفایل
پژوهشگر
Maxime Billot is an Associate Researcher at the Center for Research on Cognition and Learning (CeRCA), a joint research unit of the University of Poitiers and the French National Centre for Scientific Research (CNRS), and is affiliated with Poitiers University Hospital (CHU Poitiers) through the PRISMATICS team. His work is based at CeRCA/MSHS, located at TSA 21103 - 5, rue Théodore Lefebvre, 86073 Poitiers cedex 9. His research focuses on: Neurophysiological characterization of neuromuscular plasticity linked to aging and pain Sensory integration in motor control of postural balance and learning Motor rehabilitation using innovative medical devices Non-pharmacological approaches to pain management Behavioral and digital approaches to pain assessment Billot's recent publications (2018-2022) reveal consistent emphasis on pain-motor function interactions, particularly in chronic pain conditions and geriatric rehabilitation. His methodological toolkit includes corticospinal excitability measurements, virtual reality applications, and systematic reviews of non-pharmacological interventions, demonstrating strong interdisciplinary collaboration across neuroscience, rehabilitation, and digital health domains. Professional responsibilities include: Secretary of the Rehabilitation Commission (C2R) of the French Society for the Evaluation and Treatment of Pain (SFETD) Member of the Ethics and Scientific Committee for Health Data Research (CESRDS) at Poitiers University Hospital
- Neuroscience
- Pain Management
- Motor Control
- +۳ مورد دیگر
Olivier White is a Professor at the University of Burgundy's Faculty of Sports Science (UFR STAPS), where he maintains his laboratory at Espace Marey. With extensive teaching experience across engineering and neuroscience disciplines, he supervises MSc and PhD students while leading a multidisciplinary research program focused on motor control mechanisms under normal and altered gravity conditions. His educational background spans civil engineering and neuroscience, with a BSc (1997), MSc in Computer Science (2000, summa cum laude), DEA in Applied Mathematics (2002), and PhD in Neuroscience and Applied Mathematics (2007), all from Louvain School of Engineering, Belgium. He completed his Habilitation in 2016 with research titled 'From basic motor control to applications' and earned French Qualification for the Neuroscience Section in 2020. White's research investigates how the brain controls diverse actions through innovative approaches including 3D virtual reality, haptic devices, and gravitational manipulation via parabolic flights and centrifuges. His work addresses fundamental questions about sensory information in learning, motor skill generalization, and strategy selection. He employs motion capture, force measurements, electromyography, fMRI, and mathematical modeling approaches including optimal control and fractal analyses. His publication record reveals a consistent focus on gravity-related motor adaptation, with recent work exploring sensorimotor control in inverted postures, resonance phenomena in rhythmic movements, and spaceflight effects on operational performance. His research bridges theoretical physics with practical neuroscience applications, particularly in space physiology and rehabilitation contexts. Dr. White maintains an active teaching portfolio across multiple institutions including University of Burgundy, King's College London, and ESTP Engineering School. His courses range from basic computer science to advanced topics in computational motor control, space physiology, and deep learning applications. Motor control and learning mechanisms Altered gravity effects on human movement Virtual reality and haptic applications Fractal analysis of movement patterns Space physiology and neurorehabilitation Mathematical modeling of motor control He actively supervises research projects at undergraduate and graduate levels, building a laboratory that combines behavioral, neuroimaging, and mathematical methods to understand movement planning and execution. Through international collaborations, particularly in space-related research, he develops applications with societal benefits in rehabilitation and human performance enhancement.
Scotto Cécileمشاهده پروفایل
پژوهشگر
Cécile Scotto is a researcher affiliated with the University of Poitiers, specifically within the Cognition and Learning Research Center (CeRCA) under the Faculty of Humanities and Social Sciences. Her work focuses on sensorimotor control, motor learning, and multisensory integration, with applications in human-machine interactions and ergonomic design. She holds an HDR (Habilitation à Diriger des Recherches) in cognitive sciences. Her research explores topics such as the impact of visual and proprioceptive feedback on motor learning, the effects of environmental factors like temperature on sensorimotor performance, and perceptual biases arising from cross-modal interactions (e.g., visual-tactile). She collaborates with industries to develop reproducible evaluation scenarios for human-robot interfaces and industrial maintenance systems. Key contributions include studies on motor adaptation in deafferented patients, the role of gravity in spatial orientation, and the neural mechanisms underlying tool-use anticipation. Her publications frequently address interdisciplinary themes spanning neuroscience, ergonomics, and robotics. Teaching activities include courses on Psychology of Movement, Sensory Deficits, and Motor Control at undergraduate and graduate levels. While no formal awards are listed, her extensive publication record reflects sustained research excellence across over a decade. Labs/Teams: Active member of CeRCA, collaborating with institutions like the Institute of Psychology and Neuroscience of Lyon (UMR 5229), and industry partners in robotics and human factors engineering.
Viviane Pasqui is a Lecturer and researcher at Sorbonne Université, affiliated with the Institute of Intelligent Systems and Robotics (ISIR), where she is a member of the ASIMOV research team. Her work focuses on assistive and rehabilitation robotics, particularly technologies for elderly support and mobility assistance. Her research interests include assistive robotics, rehabilitation engineering, human-robot interaction, smart walkers, postural stability, gait analysis, and gerontechnology. She has conducted extensive research on mobility assistance devices, including sit-to-stand support systems and intelligent walking aids, with an emphasis on user-centered design and clinical validation. The 15 most recent publications highlight a consistent focus on robotic assistance for rehabilitation and elderly care, with recurring themes in human motion modeling, transparency in control, real-time monitoring, and evaluation of assistive devices. Her work integrates robotics, biomechanics, and clinical insights to develop practical solutions for mobility challenges. Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: There is no mention of students, advising roles, or research grants in the provided information. However, her long-standing collaboration with multidisciplinary teams suggests active participation in funded research projects, particularly in robotics and biomedical engineering. Labs and Teams: Viviane Pasqui is a core member of the ASIMOV team at ISIR, which specializes in assistive robotics and human-robot interaction. The team develops innovative robotic systems for rehabilitation and daily living support, combining engineering, medical, and human factors expertise.
Carole Comettiمشاهده پروفایل
پژوهشگر ارشد
Dr. Carole Cometti is a Research Fellow at the University of Burgundy , affiliated with the School of Sports Science . As Co-Director of the Center of Expertise in Performance (CEP) , she specializes in neuromuscular adaptation to training, sports biomechanics, and physical preparation for elite athletes. Doctorate in Muscle Physiology Master 2 APAS (Adapted Physical Activity) BTS Dietetics University Diploma in Physical Preparation Her research focuses on neuromuscular adaptations , stretching protocols , and recovery methods in sports. Recent work explores complexity analysis in women's soccer, cognitive function in athletes , and muscle activation dynamics using electromyography. Key publication trends include: Biomechanics of soccer and cycling Postural stability interventions Electromyography in muscle adaptation Recovery techniques like contrast water immersion Mixed reality applications in sports training Dr. Cometti collaborates extensively with the Marey Centre and CEP platforms, contributing to applied research in elite athlete performance and technology transfer projects.
France Mourey is a Professor at the University of Burgundy Franche-Comté, affiliated with INSERM UMR1093-CAPS in the Movement Study Area. Her research focuses on aging, motor control, and postural stability, particularly in elderly populations with cognitive impairments. Specialties: Physiotherapy, Neuroscience, Geriatrics Key research areas: Age-related movement deterioration, Rehabilitation techniques, Fall prevention, Ethics in aging studies Recent work explores interventions like tango therapy for dementia patients, virtual reality for postural control, and multimodal programs combining exercise and nutrition for frailty prevention. Her studies emphasize sensorimotor adaptation to gravity environments and motor memory retention in very old adults. She contributes to clinical journals such as Frontiers in Aging Neuroscience , BMC Geriatrics , and Clinical Interventions in Aging , often collaborating with researchers like Papaxanthis, Manckoundia, and Kubicki.
- Aging
- Movement and Posture Control
- Gait Disorders
- +۴ مورد دیگر
Diego Nascimentoمشاهده پروفایل
استادیار
Diego Nascimento is an Assistant Professor in Statistics at NEOMA Business School. His research focuses on statistical modeling, machine learning, spatio-temporal dependencies, and data visualization, with applications in supply chain management, neurosciences, and industrial projects. He has published in top-tier journals like the Journal of the Royal Statistical Society Series C and Pattern Recognition , collaborating with companies in South America and healthcare institutions. His work bridges theoretical statistics with practical industry challenges, emphasizing Bayesian methods and dynamic models. Key research areas include spatio-temporal modeling, neural data analysis, and optimization techniques. Recent studies involve clinical trials on transcranial stimulation effects and predictive analytics for supply chains during the pandemic. He actively contributes to interdisciplinary projects, combining statistical rigor with real-world applications in healthcare and environmental monitoring. Award-winning research includes advancements in imbalanced classification, safety-stock prediction, and entropy analysis in clinical trials. His collaborative projects reflect a commitment to both academic innovation and industrial relevance, with ongoing work in neuroimaging and supply chain resilience.
- Statistics
- Machine Learning
- Data Science
- +۳ مورد دیگر
Jérémie Gaveauمشاهده پروفایل
دانشیار
Jérémie Gaveau is an Associate Professor at the University of Burgundy, affiliated with the Faculty of Sports Science and the Department of Neuroscience and Motor Control. He conducts research at the Institut Marey, focusing on motor system neuroscience, particularly gravitational integration in motor planning and the effects of aging. His work bridges neuroscience, biomechanics, and cognitive science. Education: PhD in Neuroscience (2011, University of Burgundy), Postdoctoral training at Baylor College of Medicine and Washington University in St. Louis Research focuses on: Gravity-driven motor optimization Anticipatory motor control in aging populations Developmental dyslexia physiology Perception of effort and pain effects His recent publications (2024) explore spinal excitability under vibration, gravity adaptation in inverted postures, and age-related motor control deterioration. He advocates for rigorous research practices and applies machine learning to motor control analysis. Laboratory activities include collaborations on sensorimotor adaptation, quantitative movement analysis, and neuroplasticity studies.
Jessica Guilbert is a Lecturer in Developmental and Cognitive Psychology at the Université Paris-Est Créteil Val de Marne (UPEC), affiliated with the INSPE of the Créteil Academy. She conducts research at the interdisciplinary CHArt laboratory (EA 4004), focusing on human and artificial cognition within the 'Cognitive Sciences and Education' team at the Maison de la Recherche et de l’Innovation in Bonneuil-sur-Marne. Her research investigates cognitive mechanisms underlying motor control and motor imagery development in children, examining sensory feedback's role in real and imagined actions. She studies constraints affecting graphomotor skills in both typically developing children and those with motor difficulties. Guilbert leads the research project Améliorer les compétences graphomotrices des élèves de cycle 2 grâce à un entrainement combinant imagerie motrice et pratique physique (2020-2022) and has contributed to multiple collaborative initiatives including NUMEC (digital tools for handwriting), ECRICOL (writing competency assessment), and TAO (orthography learning).
Annabelle Couillandre serves as a Lecturer at the School of Physiotherapy within the University of Orléans, France. Her work is affiliated with laboratory team 4532 'Complexity, innovation, motor and sporting activities' which focuses on performance, motor skills, physical activity, sport, rehabilitation and health. Dr. Couillandre's research centers on two major interconnected themes. The first examines human motor skills and sensorimotor adaptations during walking initiation through both biomechanical (kinematics, kinetics, electromyography) and cognitive neuroscience perspectives. Her work investigates central and peripheral processes including basal ganglia function, sensory inputs, and structure/function relationships in movement control. The second research theme focuses on health prevention and promotion through physical activity and sport for specific populations, with particular attention to high-level athletes and classical dancers where artistic performance optimization often compromises individual health. Her research contributes to the 'neuromechanics and modeling of postural balance and voluntary movement' and 'rehabilitation, manual therapy and motor control' thematic areas within her laboratory. She approaches health as a bio-psycho-social well-being state, though her research specifically examines it through life sciences perspectives including muscular strength, walking, and balance functions.
Xianyi ZENG is a Full Professor and Research Supervisor (Section CNU 61) at University of Lille, France, affiliated with ENSAIT (École Nationale Supérieure des Arts et Industries Textiles). His research focuses on human-centered intelligent systems in textile and fashion domains, directing the Human Centered Design Group. His primary research interests span Artificial Intelligence for textiles , Wearable healthcare systems , and Sustainable supply chain optimization . Key specialties include fabric hand evaluation through deep learning, 3D garment fitting technology, fetal monitoring garments, and carbon price forecasting. His work bridges textile engineering with computational intelligence, emphasizing practical applications in fashion digitization and sustainable manufacturing. Analysis of his 15 most recent publications reveals strong trends in AI-driven textile innovation (73% of articles), with significant focus on wearable healthcare (27%) and sustainable systems (33%). His research consistently integrates multimodal data fusion, probabilistic modeling, and human factors analysis across domains. Innovation R&D Award from French-China Committee (2021) National Knight’s title in the Order of Academic Palms (2019) Honorary Doctorate from Gheorghe Asachi Technical University (2019) TBIS2020 Plenary Medal Lecture Award (2020) Annual PEDR Award for PhD supervision since 1995 Professor ZENG has secured substantial research funding through 7 major projects as Principal Investigator, including EU Horizon 2020's FBD_BModel and French ANR's IOTFetMov. His collaborative network spans 15+ institutions across Europe and China. Current research integrates edge AI with textile systems for Industry 5.0 applications, while his teaching covers decision support systems and sensory evaluation.
Emmanuel Guigonمشاهده پروفایل
پژوهشگر ارشد
Emmanuel Guigon is a CNRS Research Fellow at Sorbonne University , affiliated with the IRIS team. His primary research focuses on computational neuroscience of motor control , exploring principles like optimal feedback control and sensorimotor integration. He is based at ISIR (Institute des Systèmes Intelligents et de Robotique), Campus Pierre et Marie Curie, Paris, and can be contacted at emmanuel.guigon@sorbonne-universite.fr. Guigon's research addresses the neural mechanisms underlying movement control , particularly how the brain manages kinematic redundancy and optimizes motor commands. His work spans biomechanics, robotics, and computational modeling, proposing unified frameworks for posture-movement coordination and explaining phenomena like Fitts' law and motor equivalence. Applications include humanoid robot control and brain-robot interfaces. His scientific contributions are evident in publications in journals such as PLoS Computational Biology , Journal of Neurophysiology , and Biophysical Journal . While no explicit awards or grants are listed, his models have been highlighted in F1000 Biology. Guigon's collaborations include researchers like Agnès Roby-Brami, Pierre Baraduc, and Nathanael Jarrasse.