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Christian Rupprecht is an Associate Professor at the Department of Computer Science, University of Oxford, specializing in computer vision and machine learning. His research focuses on unsupervised learning, 3D reconstruction, and visual understanding. His work includes contributions to conferences such as GCPR'25, ICCV'25, and CVPR'25, with papers spanning topics like correspondence estimation, animal pose modeling, and synthetic data generation. He leads projects within the prestigious Visual Geometry Group (VGG). Notably, his paper VGGT received the Best Paper Award at CVPR'25. His research integrates deep learning and geometric modeling, emphasizing robustness and generalization in visual systems. Best Paper Award at CVPR'25

• Computer Vision
• Machine Learning
• Unsupervised Learning
• +4 more

Adriana Tapus is a Full Professor at ENSTA Paris, affiliated with Institut Polytechnique de Paris, leading the Autonomous Systems and Robotics Laboratory (SAR) within the Computer Science and Systems Engineering Unit (U2IS). She holds an HDR (Habilitation) and a PhD from EPFL, Switzerland, with postdoctoral experience at USC. Her research focuses on socially assistive robotics, human-robot interaction (HRI), and personalized therapy for individuals with physical/cognitive impairments. She directs the IP Paris Doctoral School and coordinates national/international projects like the EU-funded ENRICHME and SWEET. Education: PhD in Mobile Robotics, EPFL (2005) Habilitation (HDR), ENSTA Paris (2011) M.S. Computer Science, University Joseph Fourier Engineer, Politehnica University of Bucharest Research Interests: Tapus pioneers socially assistive robotics, integrating machine learning, human modeling, and multimodal communication (verbal/non-verbal/para-verbal). Her work addresses adaptive therapies for vulnerable populations using robotics, physiological data interpretation, and context-aware interaction. Key themes include: Human-robot cooperation and trust Emotion recognition and expression Personalized rehabilitation systems AI ethics and human-centered design Publications: Over 150 articles, with recent work exploring humor in HRI, teleoperation trust models, and cross-cultural intelligent vehicles. Notable 2025 contributions include studies on robot laughter efficacy and multimodal facial expression frameworks. Awards: 2025: 4 IROS papers accepted 2016: 25 Women in Robotics recognition 2010: Romanian Academy Award Multiple conference best paper awards (RO-MAN, ICRA, etc.) Advising & Grants: Supervised over 20 PhD students and led projects like EU Horizon 2020 ENRICHME. Current students focus on teleoperation dynamics, robot humor, and haptic interfaces. Active in editorial roles (IJSR, THRI) and conference organization (HRI General Chair 2019). Labs/Teams: Founder of RoboticsByDesign lab and co-initiator of the Hi! Paris interdisciplinary AI center. The SAR lab develops systems for healthcare, education, and human-robot collaboration.

• Robotics
• Human-Robot Interaction
• Machine Learning
• +7 more

Véronique Perdereau is a Full Professor at Sorbonne Université's Institute of Intelligent Systems and Robotics (ISIR) , specializing in robotics and dexterous manipulation. She leads the ASIMOV research team and serves as a principal investigator for multiple European projects, including SOFTMANBOT, INDEX, and CORSMAL, focusing on tactile feedback, multimodal control, and human-robot interaction. Role: Full Professor (2024) Email: veronique.perdereau@sorbonne-universite.fr Office: H13, Campus Pierre et Marie Curie, Paris Research Focus Perdereau's work centers on tactile-driven robotic control systems, human-inspired manipulation strategies, and multimodal fusion for industrial automation. Her research bridges theoretical modeling (e.g., Cosserat mechanics, dual quaternions) with practical applications in manufacturing sectors. Key Themes: Tactile Feedback Systems Dexterous In-Hand Manipulation Human Motion Data Integration Autonomous Grasp Stability Flexible Object Handling Reproducibility in Robotic Experiments Notable Projects She has spearheaded projects like: SOFTMANBOT (2019–2023): Advanced robotic technology for handling soft materials in manufacturing. INDEX (2019–2022): Developing motor action dictionaries for robotic hands. CORSMAL (2019–2022): Multimodal fusion for collaborative object recognition. Scientific Leadership Perdereau has led work packages in 10+ international collaborations with institutions across Europe, including Decathlon, IIT, and Queen Mary University. Her research emphasizes safety, ethics, and industry 4.0 applications.

• Robotics
• Dexterous Manipulation
• Tactile Feedback Systems
• +4 more

Gül Varol is a permanent researcher at École des Ponts ParisTech's IMAGINE group, an ELLIS Scholar, and Guest Scientist at Max Planck Institute. She holds a PhD from Inria Paris/ENS with awards from ELLIS and AFRIF. Her academic service includes Program Chair at ECCV'24 and Area Chair roles at major conferences. Current affiliations: IMAGINE group (École des Ponts ParisTech), Max Planck Institute Previous roles: Postdoctoral researcher at University of Oxford Her research focuses on vision-language applications, particularly in 3D human motion synthesis, sign language technology, and audio description generation. Key techniques include text-conditioned diffusion models, temporal context modeling, and synthetic data utilization. Scientific contributions recognized through: Google Research Scholar award (2023) ELLIS PhD Award (2020) AFRIF PhD thesis award (2020) Best application paper at ACCV'20 Recent publications demonstrate expertise in: Text-driven 3D motion editing (MotionFix, 2024) Cross-dataset generalization studies (TMR++, 2024) Temporal action composition frameworks (TEACH, 2022) Sign language dense annotation methods (BOBSL, 2022) Zero-shot audio description generation (AutoAD-Zero, 2024) She actively contributes to dataset development including BOBSL (British Sign Language corpus) and SURREACT synthetic action dataset, while pioneering new evaluation metrics for audio description quality and motion retrieval benchmarks.

• Computer Vision
• Natural Language Processing
• 3D Human Motion Synthesis
• +3 more

Chao Liu is a Research Scientist at CNRS (French National Center for Scientific Research) since 2008, affiliated with the DEXTER team and the Department of Robotics, LIRMM at University of Montpellier, France. He earned his Ph.D. in Electrical & Electronic Engineering from Nanyang Technological University, Singapore (2006). Current research focuses on surgical robotics , haptics , teleoperation , and nonlinear control theory with applications in computer vision. His work addresses challenges in robotic-assisted telesurgery, including: Stable and transparent human-robot interaction through wave variable compensators and passivity filters Physiological motion compensation using spatio-temporal LSTM and dual Kalman filters EMG-based motion recognition for surgical skill assessment 3D soft-tissue reconstruction with stereo-endoscopes and deep learning Dr. Liu leads European and French projects like: TS2RT (CNRS-funded): Safer teleoperation with motion compensation ROBACUS (ANR-funded): Needle positioning with MPC control HaTUMoCo (CNRS-funded): Haptic teleoperation with uncertainty handling ARAKNES (EU-funded): Microrobotic systems for endoluminal surgery Scientific honors include Senior Member of IEEE and Member of Sigma Xi . He supervises Ph.D. and Master's students working on topics such as concentric tube robot optimization, haptic teleoperation, and EMG-based force estimation. Dr. Liu serves on IEEE Technical Committees for Telerobotics and Haptics , and as Technical Editor of IEEE/ASME Transactions on Mechatronics.

• Surgical Robotics
• Teleoperation
• Haptics
• +2 more

Jean Ponce is a Professor at Ecole Normale Supérieure - PSL and a Global Distinguished Professor at New York University's Courant Institute and Center for Data Science. He serves as Scientific Director of PRAIRIE Interdisciplinary AI Research Institute and co-founded Enhance Lab, commercializing super-resolution imaging software. His research focuses on computer vision, machine learning, robotics, and image processing. Ponce has held roles at Inria, MIT, Stanford, and the University of Illinois, and is an IEEE and ELLIS Fellow. He has served as chair of major conferences like CVPR, ECCV, and ICCV, and authored the textbook 'Computer Vision: A Modern Approach.' Research interests include statistical models for exoplanet detection, neural networks for 3D reconstruction, and self-supervised learning. His work combines theoretical foundations with practical applications in astrophysics, robotics, and imaging. Notable awards include the IEEE CVPR Longuet-Higgins Prize (2016, 2020) and ICML Test-of-Time Award (2019). Key projects include Enhance Lab's high dynamic range imaging and PRAIRIE's interdisciplinary AI initiatives. Ponce's articles explore cutting-edge topics like neural object priors, geodesic motion planning, and satellite image analysis. His contributions bridge academic research and industrial applications, emphasizing both fundamental theory and real-world impact.

• Computer Vision
• Image Processing
• Machine Learning
• +3 more

Philippe Souères is a Researcher at LAAS-CNRS (Laboratory for Analysis and Architecture of Systems) within the University of Toulouse. He leads the Gepetto team, focusing on advanced robotics, humanoid motion generation, and the integration of human biomechanics into robotic systems. His work bridges robotics, neuroscience, and biomechanics, emphasizing optimal control, sensor-based systems, and human-robot interaction. Research interests include robot control (optimal control, nonlinear systems), neurosciences (human motor control, sensorimotor integration), and biomechanics (organization of human movement). Notable contributions include models for humanoid locomotion, human-like motion generation using inverse dynamics, and studies on task-dependent balance in humans and robots. Souères has authored/co-authored over 50 publications, including award-winning work on human movement modeling for robotics. He has supervised numerous PhD students and contributed to projects like the EAR initiative (Robot Audition) and the development of the Pyrène humanoid robot. His research also extends to aerial robotics, ducted fan vehicles, and interdisciplinary collaborations with neuroscientists and biomechanics experts. Awards include the Best Conference Paper Award (2010) for integrating human movement invariants into humanoid robotics. Souères is actively involved in academic outreach, appearing in media discussions on robotics ethics and technological innovation.

• Robotics
• Neurosciences
• Biomechanics
• +4 more

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
• +14 more

Taein Kwon is a postdoctoral research fellow at the Visual Geometry Group (VGG) within the Department of Engineering Science at the University of Oxford, working under Prof. Andrew Zisserman. Previously, he completed his PhD at ETH Zurich under Prof. Marc Pollefeys and earned master's and bachelor's degrees from UCLA and Yonsei University, respectively. His educational background includes: Bachelor's in Electrical Engineering from Yonsei University, Seoul, Korea Master's degree from UCLA PhD from ETH Zurich (defended July 2024) His research spans Egocentric Vision, Action Recognition, Hand-object Interaction, Video Understanding, AR/VR, and Multi-modal Learning, with emphasis on first-person perspective analysis for AI assistants and human-computer interaction. His work integrates 3D reconstruction, pose estimation, and multimodal signals to model complex human activities and physical interactions. Analysis of his 2021-2025 publications reveals a consistent focus on egocentric vision datasets (H2O, HoloAssist, EgoPressure) and novel frameworks for hand-object interaction, action recognition, and gesture understanding. His research demonstrates strong interdisciplinary connections between computer vision, robotics, and human-centered AI, with increasing emphasis on pressure sensing, co-speech gestures, and cross-modal alignment. His scientific recognition includes: CVPR Egovis 2022/2023 Distinguished Paper Award for HoloAssist (July 2024) SNSF Postdoc.Mobility fellowship (May 2024) He actively mentors students on egocentric vision projects, supervising master's theses, semester projects, and collaboration initiatives leading to publications at top conferences. His research is supported by the SNSF fellowship and industry collaborations with Meta Reality Labs and Microsoft Research. As part of Oxford's Visual Geometry Group, he contributes to cutting-edge computer vision research while maintaining strong ties with ETH Zurich's computer vision community through ongoing collaborations and dataset development efforts.

• Egocentric Vision
• Action Recognition
• Contextual AI
• +6 more

François Brémond is a Research Director (DR1) at INRIA Sophia Antipolis, where he leads the STARS research team, which he founded on January 1, 2012. He was previously head of the PULSAR team starting September 2009. He is also a co-founder of the CoBTeK team at Nice University in collaboration with Nice Hospital, focusing on behavioral disorders in elderly patients with dementia. His research is centered on dynamic scene interpretation using video and sensor data, with applications in surveillance, healthcare, transportation, and ambient intelligence. Research Interests: Computer Vision: video processing, object detection and tracking, motion analysis, pattern recognition Cognitive Vision: video understanding, scene understanding, event recognition, behavior analysis, multi-sensor fusion, multimedia interpretation Machine Learning: deep learning architectures, self-attention, knowledge distillation, contrastive learning, self-learning, lifelong learning, knowledge-based systems, spatio-temporal reasoning Autonomous Systems: real-time systems, system evaluation, parameter tuning, system design, 3D visualization His work bridges low-level pixel data with high-level semantic behavior modeling, enabling systems to detect and interpret complex human and vehicle activities in real-world environments. Applications include crowd monitoring, fraud detection, airport operations, homecare for the elderly, and biological monitoring. He has authored or co-authored over 200 scientific papers and has (co-)supervised 18 PhD theses. He has participated in 12 European projects (e.g., FP6, FP7), 12 French national projects (ANR, DGE), and numerous industrial collaborations with companies such as Thales, SNCF, RATP, STMicroelectronics, and Alstom. He also serves as an expert reviewer for ANR and the European Commission. Scientific Leadership and Technology Transfer: Co-founder of Keeneo (acquired by Digital Barriers), Ekinnox, and Neosensys — startups in intelligent video monitoring and business intelligence Reviewer for top-tier journals (PAMI, CVIU, AIJ) and conferences (CVPR, ICCV, AVSS) Contributor to the ARDA workshops on video event ontology He has taught numerical classification at Nice University and video understanding at a Master’s level engineering school. His research program emphasizes generic, scalable systems for behavior modeling and long-term activity mining. Research Projects: Stress ID dataset (ECG and video for stress detection) Toyota Smarthome (Activities of Daily Living) SafEE2 (Homecare for elderly with autonomy loss) Praxis dataset (RGB-D upper-body gestures) GER'HOME, CARETAKER, RATP Project, ETISEO, AVITRACK, CASSIOPEE, ADVISOR, PASSWORDS

• Computer Vision
• Cognitive Vision
• Video Understanding
• +22 more

Christine Jeoffrion is a Professor of Occupational Psychology at Université Grenoble Alpes, where she directs the Doctoral School of Human Sciences and leads the "Risk and Change Accompaniment" axis at the Inter-university Psychology Laboratory. With extensive international engagement through organizations like EAOHP and IAAP, her work bridges occupational health, organizational psychology, and psychosocial risk prevention. Key affiliations: Université Grenoble Alpes, Université de Tours, INRS, CNAM Leadership roles: Doctoral School Director (2024+), CNU member (2024-2028), HCERES expert (2023+) Her research focuses on workplace psychological and physical health, examining organizational factors affecting well-being through 15+ funded projects like ANR PacBot (€670k) and CDP BOOT (€850k). Current PhD students explore virtual reality interventions, prison worker coping mechanisms, and organizational transformations for meaningful work. Recent publications analyze cobot impacts on work quality, telework dynamics, and bullying consequences. She has co-edited special issues for International Journal of Environmental Research and Public Health and Psychologie du travail et des Organisations . Her 2023 Légion d'honneur recognition underscores her field leadership. As a thesis advisor, she has directed 34+ doctoral candidates across France and Gabon, including works on intercultural competence, healthcare worker stress, and managerial innovation. She contributes to European research networks through symposium organization and journal editorial boards.

• Occupational Health Psychology
• Organizational Psychology
• Psychosocial Risk Prevention
• +5 more

Jean-François Semblat is a Professor at ENSTA Paris and holds leadership roles as Head of the Department of Mechanics and Energetics (IP-Paris) and Deputy Head of the Mechanical Engineering Department (UME/ENSTA). He is a researcher at the Institute of Mechanical Sciences and Industrial Applications (UMR IMSIA). His work spans seismology, computational mechanics, and soil-structure interaction. Research Interests: Seismology and seismic wave propagation Computational mechanics (FEM/BEM) Soil dynamics and dynamic soil-structure interaction Structural dynamics and earthquake engineering Wave propagation in complex media Recent Publications highlight advancements in seismic wave modeling, soil reinforcement, and numerical methods (FEM/BEM) applied to urban infrastructure and nuclear safety. His work addresses liquefaction, fault mechanics, and seismic safety of critical systems. Scientific Awards: Shamsher Prakash Research Award in Geotechnical Engineering (2009) Award from the European Association of Geoscientists & Engineers (2005) Award from the International Association for Computer Methods & Advances in Geomechanics (2005) Special award from the French Association for Earthquake Engineering (1999) He contributes to editorial boards of journals like Soil Dynamics and Earthquake Engineering and International Journal of Geomechanics , and participates in international committees (TC203, AFPS).

• Seismology
• Seismic Wave Propagation
• Computational Mechanics (FEM/BEM)
• +3 more

Sao Mai Nguyen is an Enseignante-Chercheuse (Lecturer-Researcher) at ENSTA Paris, affiliated with the Unité d'Informatique et d'Ingénierie des Systèmes (U2IS). Her research bridges robotics, artificial intelligence, and cognitive science, focusing on cognitive developmental robotics, intrinsic motivation in learning, and human-robot interaction. She explores how robots can adapt to social and physical environments, particularly in physical rehabilitation and smart home applications. Research Interests: Nguyen’s work integrates machine learning, robotic embodiment, child psychology, and neuroscience. Key areas include human-robot interaction, assistive robotics for chronic low back pain rehabilitation, activity recognition in smart homes using IoT sensors, and intrinsic motivation-driven learning frameworks. Recent Contributions: Her 2024 HDR thesis on reinforcement and imitation learning for sequential tasks underscores her expertise in strategic learning systems. Recent publications address bio-inspired robotics models, hierarchical reinforcement learning, and benchmark environments like 'Open the Chests' for activity recognition. Collaborations include projects like the R-COOL randomized trial for robot-coached physical exercises. Labs & Teams: She contributes to the U2IS lab, advancing interdisciplinary research in AI and robotics. Her work spans experimental platforms for sensorimotor learning and healthcare robotics applications.

• Robotics
• Artificial Intelligence
• Cognitive Science
• +7 more

Zeina ELRAWASHDEH is a Researcher Lecturer at the Institut Catholique d'Arts et Métiers (ICAM), based at the Grand Paris Sud campus. Her research focuses on Measurements and Controls, with a particular emphasis on fiber-optic sensors, multi-agent systems, and IoT integration for smart infrastructure. She collaborates with prestigious research laboratories globally to develop innovative solutions in energy optimization, smart cities, and precision engineering. Her expertise spans applied research in fiber-optic displacement sensors, algorithm optimization for sensor performance, and user-centric building automation systems. Zeina’s work bridges theoretical advancements with practical applications in manufacturing, energy, and urban systems. She actively contributes to international academic discourse through peer-reviewed publications and participates in ICAM’s strong industry partnerships for applied research outcomes. Zeina’s research portfolio demonstrates a trajectory toward integrating AI and IoT with traditional engineering challenges, addressing technical gaps in sensor networks, multi-agent coordination, and precision machining. Her recent work highlights advancements in smart city infrastructure and energy-efficient building systems. While no awards are explicitly mentioned, her involvement in ICAM’s research initiatives underscores her commitment to impactful, industry-relevant science. Collaborations with global companies and academic institutions position her at the forefront of applied engineering research.

• Measurements and Controls
• Fiber-Optic Sensors
• Artificial Intelligence of Things (AIoT)
• +3 more

Ana Bumber is a Doctor of English Studies currently serving as an ATER (temporary teaching and research associate) at Université Paul Sabatier Toulouse 3, assigned to IUT A. She is affiliated with the Department of Chemical Engineering Process Engineering, though her academic work is firmly rooted in English literature and language pedagogy. Her dual research focus bridges the humanities and technology, particularly in AI applications for language education and the literary artistry of Vladimir Nabokov. Her research interests include Artificial Intelligence in Language Teaching , generative AI tools , automatically generated subtitles , and intermediality in Vladimir Nabokov’s work . She explores how AI influences second language acquisition and investigates Nabokov’s intricate use of visual and sensory elements in literature. Her work often intersects digital pedagogy with modernist literary analysis. The recent trends in her publications show a strong emphasis on AI in education , particularly tools like HeyGEN for influencing L2 motivation, and the evaluation of AI-generated captions in ESP contexts. Simultaneously, she continues to publish on Nabokov’s aesthetic empiricism, train imagery, nature writing, and portraiture, reflecting a sustained scholarly engagement with modernist intermediality. Scientific Affiliations and Service: Member, French Vladimir Nabokov Society (SFVN) – also on the board (CA) Member, International Vladimir Nabokov Society (IVNS) Member, European Association for Computer Assisted Language Learning (EUROCALL) Member, Modern Language Association (MLA) Member, Society for Modernist Studies (SEM) Organizing member, Pedagogical Exchange Days (Lairdil) Webmaster team member for academic website Ana Bumber is actively involved in academic mentoring and pedagogical innovation, though no formal advisees are listed. She has organized pedagogical events and contributed to curriculum development through active learning strategies such as 'Job Dating' and peer feedback workshops. She has not received any explicitly mentioned grants or scientific awards in the provided text. Her work is supported through institutional affiliations and collaborative research networks, particularly in Nabokov studies and AI-enhanced language teaching. She participates in interdisciplinary seminars such as the EFELIA-ANITI cycle on AI and Humanities, indicating a strong commitment to bridging technological and humanistic scholarship.

• Artificial Intelligence in Language Teaching
• Generative AI
• Automatically Generated Subtitles
• +7 more