جست‌وجوی استاد و پژوهشگر

Mohammed Nabil EL KORSOمشاهده پروفایل

استاد

• Statistical Signal Processing
• Machine Learning
• Detection and Estimation Theory
• +۵ مورد دیگر

Mohammed Nabil EL KORSO is a Professor at CentraleSupélec, part of the University of Paris-Saclay. He is affiliated with the Laboratoire des Signaux et Systèmes (L2S). His research focuses on statistical signal processing, machine learning, detection/estimation theory, and robust signal processing, with applications in radioastronomy, radar systems, and source localization. He has contributed extensively to methodologies like Kalman filtering, covariance estimation, and array processing. His work emphasizes robust techniques for handling non-Gaussian noise and interference, particularly in radio interferometry and SAR imaging. Key contributions include algorithms for array calibration, RFI mitigation, and subspace estimation. His research also addresses challenges in distributed and adaptive signal processing, with applications to vital signs monitoring and robotic systems. He has published over 50 journal articles and conference papers, focusing on performance bounds (Cramér-Rao, Weiss-Weinstein), Bayesian methods, and practical implementations for large-scale systems. His recent work includes advancements in low-cost interferometric imaging and phase estimation for SAR time series. EL KORSO collaborates with international projects like the Square Kilometre Array (SKA), contributing to technological developments in radio astronomy. He supervises research in signal processing labs and actively participates in academic conferences such as EUSIPCO and ICASSP.

Pierre Renaudمشاهده پروفایل

استاد

• Medical and Surgical Robotics
• Robotics
• Mechatronics
• +۵ مورد دیگر

Pierre Renaud is a Professor at INSA Strasbourg and Deputy Director of the ICube laboratory, specializing in Medical and Surgical Robotics, Mechatronics, and Additive Manufacturing. His research focuses on developing advanced robotic systems for healthcare applications, including surgical robots, compliant mechanisms, and MRI-compatible devices. He leads projects such as SPIRIT (multi-material additive manufacturing for medical robotics) and contributes to national initiatives like TIRREX and LABEX CAMI. Education: PhD in Mechanics from Université Clermont-Auvergne (2003), M.Sc. from ENS Cachan (1998), and Agrégation in Mechanical Engineering (1999). Visiting Associate Professor at Stanford University (2010–2011) as a Fulbright Fellow. Research Themes: Mechatronics for medical robotics, compliant systems, additive manufacturing integration, and tensegrity-based robots. Collaborates with IHU Strasbourg for surgical technology development and Axilum Robotics for industrial applications. Key Projects: Robotic assistance for interventional radiology, magnetic elastography, and beating heart surgery. Active in international collaborations (e.g., ANR, H2020 ITN ATLAS). Labs/Teams: Head of the Robotics, Data Science, and Healthcare Technologies group at ICube. Engaged in Equipex IRIS and ROBOTEX platforms for robotic innovation.

Grégory Battمشاهده پروفایل

پژوهشگر

• Systems biology
• Synthetic biology
• Quantitative modeling
• +۱۵ مورد دیگر

Grégory Batt is a Researcher and Head of the InBio joint research group at the Institut Pasteur and Inria Paris. The lab operates at the intersection of wet and dry biology, focusing on systems and synthetic biology with an emphasis on automation, modeling, and real-time control of cellular processes. The team is affiliated with both institutions and hosts a multidisciplinary group of researchers, engineers, and students. The research interests of Grégory Batt span systems biology, synthetic biology, quantitative modeling, lab automation, bioproduction, and single-cell analysis . His work integrates computational and experimental approaches to develop frameworks for understanding and controlling cellular behavior. Key methodologies include the use of synthetic biology, microfluidics, optogenetics, and robotics. The lab has developed innovative software tools such as ReacSight and MicroMator to enable automated and reactive experimentation. Recent publications highlight trends in real-time control of bioproduction, optimization of protein secretion, parameter inference in stochastic models, and ecological frameworks for antibiotic resistance . These works demonstrate a strong focus on integrating modeling with high-throughput experimentation to solve problems in biotechnology and medicine. Scientific contributions include: Development of ReacSight for bioreactor automation and reactive control Creation of MicroMator for reactive microscopy Application of ecological concepts to bacterial antibiotic responses Modeling stochastic kinetics coupled with auxiliary processes Batt advises several PhD students and postdoctoral researchers, including Henri Galez, Alicia Da Silva, Cecilia Capela, and Viktoriia Gross. His lab has received support from ANR, Inria, and other funding bodies. The InBio team operates a state-of-the-art laboratory equipped with bioreactors, liquid handling robots, flow cytometers, automated microscopes, and high-performance computing resources, enabling advanced research at both population and single-cell levels. The lab, located at the Yersin and Lwoff buildings of the Institut Pasteur in Paris, fosters a collaborative environment integrating molecular biology, microbiology, and computational modeling to advance quantitative understanding of cellular systems.

• Artificial Intelligence
• Deep Learning
• Action Recognition in Videos
• +۴ مورد دیگر

Catherine Achard is a full Professor at Sorbonne University, affiliated with the RPI-Bio team under Polytech Sorbonne. She has served as Deputy Director at Polytech Sorbonne since 2020 and has been actively involved in research and teaching in artificial intelligence and computer vision. Research Focus: Artificial Intelligence, Deep Learning, Action/Gesture Recognition, Multi-modal Interaction, Person Re-identification Teaching: AI courses at Sorbonne University (M1/M2) and Polytech Sorbonne, Image Processing for L3. Her recent publications (2023-2025) demonstrate expertise in 3D point cloud registration, adaptive virtual agents, and multimodal interaction analysis. Key trends include geometric constraint handling, deep reinforcement learning for action spotting, and biomedical applications of AI. Technical Contributions: Development of RoCNet++ for point cloud registration, ASAP framework for agent adaptation, and SALAD for action detection. Collaborations span robotics, medical imaging, and human-computer interaction projects across international conferences.

• Gastroenterology
• Hepatology
• Medical Imaging
• +۴ مورد دیگر

Aymeric Becq is an Associate Professor at Sorbonne University and a clinical practitioner in gastroenterology and endoscopy. He works at Henri Mondor Hospital (APHP, University of Paris Est Creteil) and Cochin Hospital (APHP, University of Paris). Since January 2020, he is a PhD student affiliated with the AGATHE Team, INSERM Unit U1150, and the Institute of Intelligent Systems and Robotics (ISIR). University Hospital Practitioner (Gastroenterology, Henri Mondor Hospital) PhD Student (Doctoral School SMAER, ISIR Laboratory) Research Focus: Medical Imaging, Endoscopy, and Gastroenterology His research bridges clinical practice and robotics, focusing on computer-aided detection in endoscopic imaging, 3D biliary reconstruction, and microbiota modulation in hepatocellular carcinoma. Recent work includes optimizing fluoroscopic image analysis and developing AI-driven tools for ERCP procedures. His publications since 2022 highlight trends in AI applications for medical imaging, particularly in guidewire detection, instrument segmentation, and biliary system modeling. Collaborations span INSERM, APHP hospitals, and institutions like Harvard Medical School.

Laure Soulierمشاهده پروفایل

مدرس

• Design of language models for Information Retrieval (IR) and Natural Language Processing (NLP)
• Data-to-Text Generation
• Search-Oriented Conversational Systems
• +۳ مورد دیگر

Laure Soulier is a HDR (Habilitation à Diriger des Recherches) Lecturer at Sorbonne University within the MLIA team at the ISIR (Institute for Intelligent Systems and Robotics) laboratory. Her research focuses on the design of language models for Information Retrieval (IR) and Natural Language Processing (NLP) applications, including data-to-text generation , search-oriented conversational systems , language models for robotics , and continual learning with domain adaptation . Recent publications highlight her work on cross-encoders, co-speech gesture generation, and latent space metrics. She supervises an ANR-funded postdoctoral researcher position (SCAI/BnF program) and collaborates on projects involving multimodal techniques, user interaction analysis, and document vectorization. Her scientific contributions include best paper awards at CORIA 2021, SCAI@EMNLP 2019, CORIA 2015, and AIRS 2013. Laure Soulier’s work spans collaborative information retrieval models, entity ranking in heterogeneous networks, and neural approaches for knowledge-based IR. She has contributed to evaluation frameworks for LLMs in IR and co-speech gesture generation, with applications in e-commerce search, medical information retrieval, and social media-based collaboration. Her research integrates user roles, document representations, and reinforcement learning techniques.

Olivia Chevalierمشاهده پروفایل

پژوهشگر

• Artificial Intelligence Ethics
• Bioethics
• Philosophy of Science
• +۴ مورد دیگر

Olivia Chevalier is a researcher at Institut Mines-Télécom Business School , affiliated with the Bopa Chair (Augmented Operating Room) and the PEPR O2R (Origins of Organic Robotics) program. She collaborates with institutions like AP-HP, University Paris-Saclay, CEA, INRIA, and CNRS. PhD (2008) , DEA (2003), and Master of Philosophy (2000) from Université Paris-Nanterre Her research focuses on the economic, geopolitical, social, and ethical implications of AI and biotechnologies , with a specialization in philosophy of science and epistemology . She explores how AI integrates into surgical practices, digital twins, and organic robotics. Recent publications highlight trends in AI-driven surgical innovation , ethical AI frameworks , and robotics in healthcare , emphasizing interdisciplinary collaboration and technological challenges. Summa cum laude in all academic degrees from Université Paris-Nanterre Chevalier contributes to science dissemination through teaching roles at Sciences Po , Ecole des Ponts et Chaussés , and MYPREPA , covering AI, biotechnologies, and socio-political issues. She is involved in the GdR Robotics and Society network, bridging technical and societal perspectives.

Francois Chaumetteمشاهده پروفایل

استاد پژوهشی

• Robotics
• Computer Vision
• Visual Servoing
• +۱۷ مورد دیگر

François Chaumette is a Senior Research Scientist (Directeur de recherche) at Inria, affiliated with IRISA and the Centre Inria de l'Université de Rennes. He has been a key researcher in robotics and computer vision since 1990 and led the Lagadic research team from 2004 to 2017. His research interests are centered on robot vision, particularly visual servoing and active perception . He has made foundational contributions to image-based and position-based visual servoing, and his work integrates control theory, computer vision, and robotics. His research spans applications in mobile robotics, aerial systems, medical robotics, space robotics, and soft object manipulation. The recent publications highlight a consistent focus on visual servoing under complex constraints—such as motion blur, occlusions, and deformations—applied to drones, cable-driven robots, and space systems. There is a strong emphasis on robustness , stability analysis , and hybrid sensing (e.g., vision + proximity, vision + force). His work with the RemoveDebris mission demonstrates real-world impact in space robotics. AFCET/CNRS Prize for best Ph.D. in Automatic Control Best paper awards at RFIA 1996 & 2004 Best paper in IEEE T-RA (2002) Best paper in IEEE RA-L (2019) Best paper in IEEE RAM (2020) IEEE Fellow (2013) He has advised over 30 Ph.D. students, many of whom have become active researchers in robotics. He has served in editorial roles for top journals including IEEE Transactions on Robotics , IEEE Robotics and Automation Letters , and the International Journal of Robotics Research . He was elected to the IEEE RAS Administrative Committee (2016–2018) and served on ERC grant panels for robotics. Chaumette is the main developer of ViSP (Visual Servoing Platform), a widely used C++ library for visual tracking and servoing. His leadership in both theoretical advances and software tools has significantly shaped the visual servoing community.

• Production Systems Engineering
• Supply Chain Design and Optimization
• Operational Research
• +۳ مورد دیگر

Professor Alexandre Dolgui is the Director of the Department of Automation, Production, and Computer Science (DAPI) at IMT Atlantique, France. A Fellow of IISE and Highly Cited Researcher (Clarivate), he serves as Editor-in-Chief of the International Journal of Production Research. His expertise spans production systems, supply chain engineering, and operational research, with over 360 journal articles and 37 books. Education: HDR (University of Technology of Compiègne, 2000), PhD in Cybernetics (Academy of Science of Belarus, 1990) Research focuses on production system design , supply chain resilience , and discrete optimization , addressing challenges in human-robot collaboration, Industry 5.0, and yield uncertainty. His work integrates machine learning with stochastic programming for adaptive manufacturing solutions. Key contributions include constraint programming models for assembly lines, robust optimization frameworks for biorefineries, and digital twin methodologies for supply chain risk management. He has received multiple best paper awards and led international research projects like DREAMS and DISC. Scientific leadership: Board member of IFPR, Senior advisor to Chinese Academy of Sciences, founder of EVI European Virtual Institute

Marc Chaumontمشاهده پروفایل

دانشیار

• Visual Data Analysis
• Remote Sensing
• Steganography
• +۱۰ مورد دیگر

Marc Chaumont is an Associate Professor at the University of Nîmes since 2005 and a senior researcher at LIRMM Montpellier. He holds an HDR (Habilitation à Diriger des Recherches) and is an IEEE Senior Member. Since October 2024, he has been an associate collaborator at IRISA laboratory in Vannes, France. His career spans academic research, teaching, and interdisciplinary collaborations with institutions like MARBEC, CIRAD, and CNRS. PhD in Computer Science from IRISA Rennes (2003) Engineer Diploma from INSA Rennes (1999) His research focuses on visual data analysis , remote sensing , and digital forensics , particularly in steganography and steganalysis . He has contributed to creating large-scale databases like LSSD , a 2 million JPEG image dataset for deep-learning steganalysis. His work extends to AI applications in marine ecology, medical imaging, and poverty estimation from satellite data. Recent publications highlight collaborations across disciplines, including transformer models for socioeconomic indicator prediction, 3D fish tracking in coral reefs, and self-supervised encoder pretraining for chronic wound segmentation. He has supervised interns like Ayman El Mannouy (2024) and Abir Zahi (2023) in projects related to weakly supervised segmentation and marine biodiversity. IEEE Senior Member (2020) Top-3% Best Reviewer at IEEE ICIP 2020 Marc has taught courses ranging from signal processing to image compression since 1999. His technical contributions include software tools for image databases and steganalysis algorithms. He actively participates in European projects like DFUC'2024 and ConvEntion for astronomical data classification.

Fabien Moutardeمشاهده پروفایل

استاد

• Machine Learning
• Deep Learning
• Computer Vision
• +۸ مورد دیگر

Fabien Moutarde is a Full Professor and Director of the Center for Robotics at MINES ParisTech (PSL University, Paris, France). He holds a PhD in Physics and an Habilitation to Direct Research in Engineering Sciences. Dr. Moutarde coordinates French engineering education at ParisTech_Shanghai (SPEIT) in China. Research Areas Deep Learning & Reinforcement Learning Computer Vision for Intelligent Vehicles Collaborative Robotics Traffic Analysis & Forecasting Human Gesture Recognition Recent Article Trends His work focuses on autonomous driving using Deep Reinforcement Learning, pedestrian trajectory prediction with spatio-temporal attention, and multi-modal localization techniques combining vision with Wi-Fi. Key applications include urban traffic analysis, collaborative robotics, and end-to-end driving systems. Leadership & Teaching Co-created specialized Machine Learning courses Pioneered Deep Reinforcement Learning lectures Led French-Chinese academic coordination Former UML/Java curriculum developer Publications With 28 h-index, his research includes 30+ IEEE/ACM publications on autonomous vehicles, gesture recognition, and traffic mining. Representative conferences: CVPR, NeurIPS, IROS, ITSC.

Sébastien Lechevalierمشاهده پروفایل

استاد

• Asian Capitalism
• Japanese Economy
• Innovation Studies
• +۷ مورد دیگر

Sébastien Lechevalier is a Professor at the School of Advanced Studies in Social Sciences (EHESS) in Paris and President of the Fondation France-Japon de l'EHESS (FFJ). As a labor economist and specialist in Asian capitalism, particularly Japan, he leads comparative research on institutional change, innovation, and social policy. Education: Habilitation à diriger les recherches (2013), Ph.D. in Economics (2003), M.S. in Economics (1997) from EHESS Affiliations: Visiting Research Fellow at German Institute for Japanese Studies (DIJ-Tokyo), International Senior Fellow at Canon Institute for Global Studies (CIGS), Editor of Socio-Economic Review His research bridges economics, political economy, and interdisciplinary studies of Asian capitalisms. Key projects include the European INCAS project (2015-2019) and coordination of FFJ's Capitalisms, Technologies, Societies and Health (CTSH) and Innovation Driven by Care (INNOVCARE) initiatives (2021-present), focusing on care-led innovation and digital transformation's societal impacts. Recent work analyzes Japan's digitalization challenges, care work robotics, and institutional contradictions in economic policy. He collaborates with Japanese institutions like KIER, Hitotsubashi, and Tokyo University, and contributes regularly to Le Monde and academic networks such as SASE.

David DURANDمشاهده پروفایل

مدرس

• IoT
• Communicating Objects
• eHealth
• +۶ مورد دیگر

David Durand is a Lecturer in Computer Science at the Computer Science Department of the IUT of Amiens (Institute of Technology) within the University of Picardie Jules Verne . He serves as a Deputy Vice-President for Communication, Culture & Scientific Mediation and is a teacher-researcher affiliated with the MIS Laboratory and its SDMA Team . Research Focus: Distributed and communicating objects, middleware, IoT, and data processing in eHealth. His work addresses IoT heterogeneity, communication protocols, and AI-driven data processing architectures for medical applications. Recent projects explore intrusion detection in Medical IoT (MIOTs), AI threat management in healthcare, and movement analysis for Parkinson's disease treatments. His publications span cybersecurity, robotics, and AI in healthcare, with a focus on federated learning and anomaly detection. He actively supervises students in IoT-related topics, including smart homes, logistics, and medical robotics.

• Ergonomics
• Work Organization
• Musculoskeletal Disorders Prevention
• +۵ مورد دیگر

Fabien Coutarel is a Maître de Conférences with Habilitation to Direct Research (MCU-HDR) at Université Clermont Auvergne (UCA), affiliated with the Faculty of Sports Science (UFR STAPS). He serves as Deputy Director of the ACTé laboratory and leads the Technology, Activity, Design (TAC) research program. His work focuses on ergonomics, workplace design, and human-technology interaction within industrial contexts. His research interests span multiple domains including: Ergonomics and work organization Musculoskeletal disorders prevention Psychosocial risks in the workplace Design of enabling work situations Evaluation of complex ergonomic interventions Human-technology collaboration in Industry 4.0 Analysis of his recent publications reveals a strong focus on operational leeway in work situations, human-technology collaboration in Industry 4.0, and the prevention of musculoskeletal disorders through innovative work design. His research increasingly addresses the integration of autonomous technologies in workplace settings while maintaining worker agency and safety. His scientific contributions include: Development of Enabling Collaborative Situations (ECS) framework Conceptualization of situational operational leeway Design of intervention evaluation methodologies Work on ergonomic aspects of autonomous technologies Coutarel actively supervises seven doctoral students and has successfully guided fourteen PhD candidates to completion. His research is supported by multiple grants including ANR Collaboration 4.0 project (2018-2022), EvalIEExp project (2021-2024), and various industry partnerships with Michelin and other organizations. He leads the Master's in Engineering and Ergonomics of Physical Activity (IEAP) and maintains international collaborations, particularly with the University of Quebec in Montreal (UQAM).

• Machine Learning
• Deep Learning
• Signal and Image Processing
• +۱۲ مورد دیگر

BOHI Amine is a researcher at CESI (School of Engineering and Digital Tools, Department of Computer Science), with a PhD in Computer Science from the University of Toulon (2017). His academic profile spans disciplines including Machine Learning, Signal and Image Processing, and Biomedical Engineering, with a focus on applications in Digital Health and Human-Robot Interaction. Education : PhD in Computer Science (University of Toulon, 2013-2017); Master 2 in Computer Science (University of Fes, Morocco, 2009-2011); Bachelor’s in Mathematical and Computer Sciences (University of Fes, 2006-2009). His research interests include: Machine Learning and Deep Learning Signal and Image Processing 3D Shape Analysis Computer Vision Digital Health Biomimetic Feature Design BOHI’s publications reflect expertise in facial emotion recognition for elderly care, cortical folding modeling, and soft tissue organ deformation analysis using MRI. He supervises diverse research internships, mentoring students from institutions like Sorbonne Paris Nord, Université de Technologie King Mongkut, and INP Grenoble. Current projects involve developing intelligent solutions for emotional interaction with elderly individuals suffering from neurodegenerative disorders, in collaboration with VyV3 Bourgogne. He also contributes to the design of multimodal datasets and wearable health monitoring systems. BOHI’s technical work includes contributions to maritime surveillance systems (PARE project) and semantic information platforms, demonstrating a capacity to bridge theoretical research with practical applications across domains.