جستجوی استاد راهنمای دانشگاهی

Liming Chenمشاهده پروفایل

استاد

• Computer Vision
• Pattern Recognition
• 3D Face Analysis
• +۲ مورد دیگر

Liming Chen is a Full Professor and Director of the Department Mathématiques - Informatique at École Centrale de Lyon, Université de Lyon. As a member of the Laboratoire d'Informatique en Image et Systèmes d'Information (LIRIS, UMR 5205), his research spans computer vision, pattern recognition, and multimedia computing. His extensive research portfolio includes 3D face analysis, image/video categorization, affect analysis, and biometric systems. He has led significant projects such as ANR 3D Face Analyzer, ANR Videosense, ANR Omnia, and ANR FAR3D, focusing on advanced recognition systems and multimodal analysis. Professor Chen supervises multiple PhD students and has developed open-source tools for 3D model processing. His work has received recognition through best performance awards at international competitions including SHREC 2011 (3D face recognition) and ImageCLEF 2011 (photo annotation).

Andrei-Constantin Braitorمشاهده پروفایل

پژوهشگر

• Control Engineering
• Power Systems
• DC Microgrids
• +۳ مورد دیگر

Andrei-Constantin Braitor is a researcher specializing in control engineering and power systems, with a focus on DC microgrids, stability analysis, and power electronics. His work addresses challenges in voltage stability, overvoltage/overcurrent protection, and control design for DC microgrids in hybrid electric aircraft and meshed networks. He has collaborated with notable researchers such as Houria Siguerdidjane and Alessio Iovine on projects involving droop control, admittance matrix computation, and consensus-based control algorithms. Research Interests: DC Microgrid Stability and Control Distributed Control Systems Power Electronics Integration Aerospace Power Systems Nonlinear Dynamics in Power Networks His recent publications (2020-2025) explore advanced hierarchical control frameworks, fault-tolerant designs, and educational applications of control engineering through animated cartoons. He has contributed to both theoretical stability analysis and practical control implementations in meshed and parallel-operated converter systems. No scientific awards, grants, or lab affiliations were explicitly mentioned in the provided texts. His student advising record is currently empty.

• Biophysics
• Gene Regulatory Networks
• Immune System Dynamics
• +۶ مورد دیگر

Aleksandra Walczak is a Professor of Biophysics at the École normale supérieure , leading research at the Laboratoire de Physique Théorique (LPENS). Her work bridges statistical physics and biology, focusing on understanding complex living systems through gene regulatory networks, immune system dynamics, and population genetics. Research Interests : Non-equilibrium biological systems, T-cell/B-cell receptor repertoires, stochastic molecular systems, and evolutionary dynamics. Funding & Collaborations : Supported by the Fondation Bettencourt Schueller, she co-organizes interdisciplinary workshops like the Paris Workshop on Immunology and contributes to GDRI Evolution, Regulation and Signaling network. Recent Publications explore gene regulatory principles, immune repertoire modeling, viral-immune coevolution, and collective behavior. She has secured competitive grants and mentors students in theoretical biophysics. Awards : Habilitation à diriger des recherches (2012), Princeton Center for Theoretical Physics Postdoctoral Fellowship (2007-2010). Students & Positions : Actively supervises PhD/Master projects; offers internships in biophysics and quantum engineering.

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.

• Formal Methods
• Software Engineering
• Verification and Validation
• +۳ مورد دیگر

Idir Ait-Sadoune serves as a Lecturer in Data Engineering at ISAE-ENSMA, France, where he is an active member of the Data Engineering Team within the LIAS laboratory. His academic position includes temporary teaching and research responsibilities (ATER) focused on formal methods and software engineering applications. He earned his PhD in 2010 from ENSMA with a dissertation titled Modélisation et Vérification Formelles de Compositions de Services. Une Approche Fondée sur le Raffinement et la Preuve , establishing his expertise in formal verification techniques. His educational background centers on computer science with specialization in formal modeling and system validation. Ait-Sadoune's research spans critical domains in computer science, with particular emphasis on: Formal Methods : Pioneering applications of Event-B for system specification and verification Software Engineering : Advancing web services composition and data repository design Human-Computer Interaction : Developing formal models for multimodal interactive systems Verification & Validation : Creating proof-based approaches for system correctness His publication trajectory from 2006-2018 reveals consistent innovation in formal techniques, particularly through Event-B methodology applied to web services and multimodal interfaces. The research demonstrates strong interdisciplinary connections between theoretical formal methods and practical software engineering challenges, with increasing focus on data engineering applications in later works. Within the LIAS laboratory ecosystem, Ait-Sadoune collaborates with Automatic Control and Real Time teams, contributing formal verification expertise to cross-disciplinary projects while maintaining his core focus on data-intensive system engineering.

George Drettakisمشاهده پروفایل

پژوهشگر

• Computer Graphics
• Rendering
• Image-Based Rendering
• +۱۲ مورد دیگر

George Drettakis is a Senior Researcher at INRIA Sophia-Antipolis and leads the GRAPHDECO research group. He has held professorial roles at institutions including MIT, University of Reims, University of Toronto, and École Normale Supérieure. His research focuses on rendering for computer graphics and sound, with emphasis on image-based rendering, perceptual rendering, and audio-visual cross-modal effects. He has also explored interactive illumination, shadows, relighting, and generative models. Current Students: G. Kopanas (Neural Rendering), N. Violante (Generative Models), A. Petitjean (co-supervised), Y. Poirier-Ginter (co-supervised), P. Panantonakis (starting fall 2023). Postdoctoral Researchers: A. Gauthier at INRIA. His recent work includes 3D Gaussian Splatting , Diffusion-based Relighting , and Neural Radiance Fields . He has received the Eurographics Outstanding Technical Contributions Award (2007) and was named an Eurographics Fellow . He manages projects like ERC Advanced Grant FUNGRAPH and has participated in H2020 EMOTIVE , ANR SEMAPOLIS , and CROSSMOD . His group collaborates internationally and has hosted researchers from institutions such as UC Berkeley, Imperial College London, and TU Wien.

Florent Ginhouxمشاهده پروفایل

پژوهشگر

• Myeloid Cell Biology
• Cancer Immunology
• Tumor Microenvironment
• +۴ مورد دیگر

Florent Ginhoux is a Researcher at Gustave Roussy 's Tumor Immunology and Cancer Immunotherapy Program (U1015). He leads the Florent Ginhoux Laboratory (ginhouxlab.com), focusing on myeloid cell biology in cancer progression and immunotherapy development. His team integrates spatial transcriptomics (Visium HD, Xenium), single-cell RNA sequencing , and MACSIMA spatial proteomics to dissect tumor-immune interactions. His research spans pediatric oncology (brain tumors, neuroblastomas, sarcomas) and adult cancers (pancreatic, head/neck carcinomas). Key projects include Developing iPSC-derived macrophages for patient-specific tumor modeling Characterizing TREM2+ multinucleated macrophages as prognostic indicators Creating MoMac-VERSE and DC-VERSE compendiums for cross-tissue myeloid cell analysis His lab collaborates with pediatric oncologists and bioinformaticians on projects funded by 2024 Fight-Kid Cancer grant ( MiMiC-Kids ) 2024 ANR Excellence Chair ( MATCH ) 2024 Horizon HIT-GLIO grant 2021 INCa PEDIAHRG High-Risk/High-Gain program

Bruno Andreottiمشاهده پروفایل

استاد

• Transmission of Respiratory Pathogens
• Soft Matter
• Hydrodynamics
• +۵ مورد دیگر

Bruno Andreotti is a Professor at the University of Paris Cité and an honorary member of the Institut Universitaire de France, conducting research at the Physics Laboratory of the École Normale Supérieure (LPENS). His work bridges soft matter physics, hydrodynamics, and respiratory pathogen transmission. His research spans soft matter, hydrodynamics, polymeric wetting, leaf venation, and Martian geomorphology, with current focus on respiratory pathogen transmission physics. He coordinates a crisis intervention platform for emerging pathogens through a patient-animal-in vitro model collaboration involving hospitals, CEA infrastructure, and virology teams. Recent publications (2022-2023) integrate fluid dynamics with epidemiology to analyze SARS-CoV-2 transmission, emphasizing airborne risk assessment, turbulent breath dispersion, and viral strain-epidemic wave relationships across indoor/outdoor environments. Key recognition includes: Honorary Member of the Institut Universitaire de France He leads a multidisciplinary crisis intervention project structured around patient care, animal models, and in vitro systems, partnering with Bichat-Claude Bernard Hospital (AP-HP/Université Paris Cité), CEA's IDMIT infrastructure, and IPBS/IRIM virology teams. His primary laboratory affiliation is LPENS, with project collaboration extending to Bichat-Claude Bernard Hospital's IAME research unit (Infection, Antimicrobials, Modeling, Evolution) and national preclinical infrastructure.

• Biomedical Image Processing
• Mathematical Analysis
• Computational Geometry
• +۳ مورد دیگر

Giacomo Nardi is an Associate Professor (Maître de Conférences) at INSA Rouen starting September 2025, holding a PhD in Mathematics from Sorbonne University. His research bridges mathematical analysis and biomedical image processing through extensive collaborations with the Institut Pasteur in Paris, focusing on developing advanced mathematical frameworks for biological imaging applications. His educational background includes: PhD in Mathematics, Sorbonne University (Pierre and Marie Curie), thesis: "On a characterization of the relaxation of a generalized Willmore functional" under supervisors S. Masnou and E. Mascolo. Nardi's work spans Biomedical Image Processing and Mathematical Analysis , evolving from foundational contributions in calculus of variations (Willmore functionals, BV functions) to cutting-edge biomedical applications. His current research employs topological data analysis and geometric methods to solve complex biological imaging problems including 3D segmentation of hematopoietic stem cells, receptor dynamics analysis, and retinal degeneration quantification. This interdisciplinary approach integrates deep mathematical theory with practical biological challenges through close partnerships with biologists at the Institut Pasteur. Analysis of his publication trajectory reveals a decisive shift toward biomedical applications since 2016, with recent work (2022-2025) dominating in high-impact imaging journals and conferences. His research consistently applies geometric measure theory and functional analysis to innovate in cellular dynamics modeling and 3D image segmentation, demonstrating exceptional versatility across pure mathematics and translational biomedical research. Nardi actively mentors the next generation of researchers: Postdoctoral supervision: Somoballi Ghoshal (2024-present, Institut Pasteur) on persistent homology-based 3D cell segmentation in cardiac tissue. PhD supervision: Benjamin Dorra (defense March 5, 2025, Medetia/Institut Pasteur) on AI-driven histopathology for ciliopathy models, resulting in ISBI 2024 award-winning publications. He co-develops the open-source Fshapestk (Functional shapes toolkit) and collaborates with J.-C. Olivo-Marin's Quantitative Image Analysis Unit at the Institut Pasteur, maintaining strong ties between theoretical mathematics and experimental biology through ongoing joint projects in cellular dynamics and tissue imaging.

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.

Christine Largouetمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Explainable AI
• Complex Systems Modelling
• +۶ مورد دیگر

Christine Largouet is an Associate Professor in Computer Science at Institut Agro Rennes-Angers and a member of the IRISA Laboratory's LACODAM team. Her research focuses on Explainable AI, Complex Systems Modelling, and applications in Ecosystem Management and Agroecology. She leads the Computer Science Teaching Unit at Institut Agro Rennes-Angers since 2006 and has held academic roles at the University of New Caledonia (2003-2006) and IRD Nouméa. She holds a HDR (2019) and PhD (2000) from Université de Rennes 1. Education: Habilitation Defense (HDR): "Artificial Intelligence for Decision Support of Dynamical Complex Systems" (Université de Rennes 1, 2019) PhD: "Interpretation of a sequence of remote-sensing images" (Université de Rennes 1, 2000) Research Interests: Her work bridges AI and environmental/agricultural systems, with emphasis on: Explainable AI for decision-making Machine learning in precision agriculture Timed behavioral models & discrete event systems Data-driven approaches for ecosystem management Publications Trends: Recent work emphasizes: AI explainability in user-centric applications Livestock management using sensor-based machine learning Formal methods for system modeling (timed automata) Interdisciplinary applications in agroecology Teaching & Supervision: Supervised 17+ PhD/Master students since 2002 Teaches programming, AI, and data science at multiple academic levels Labs & Teams: Active contributor to: IRISA Laboratory's LACODAM team Collaborations with INRAE and INRIA

• Neuroscience
• Visual Cortex
• Neural Circuits
• +۴ مورد دیگر

Kristina Nielsen is an Associate Professor of Neuroscience at Johns Hopkins University School of Medicine and a researcher at the Zanvyl Krieger Mind/Brain Institute. She investigates the function, development, and plasticity of higher-level visual cortex circuits. PhD, Max Planck Institute for Biological Cybernetics (Germany) Postdoctoral work at Salk Institute (2006-2012) with Ed Callaway and Rich Krauzlis Her research focuses on: Structure-function relationships in higher visual cortex Neural mechanisms of object recognition Developmental plasticity of visual circuits Two-photon microscopy applications in primates Viral vector-based circuit analysis Key article trends include primate visual cortex organization, motion and shape integration, and cortical development mechanisms. She has contributed to journals like Nature , Neuron , and Journal of Neuroscience . Scientific awards: CNRS 2025 bronze and silver medals Current lab members include graduate researchers Dallas Khamiss, Emmanuel Osikpa, and Brandon Nanfito. Her team has received ANR funding for projects like 'Earlier stages of development of the motion pathway' and 'Encoding of 2D and 3D shape in primate V4.'

Fabien Crausteمشاهده پروفایل

پژوهشگر

• Biomathematics
• Mathematical Immunology
• Delay Differential Equations
• +۴ مورد دیگر

Fabien Crauste is a Director of Research at CNRS, affiliated with MAP5 UMR 8541 at the University of Paris Cité. His work bridges applied mathematics and biomedical research through multi-scale modeling. Math Bio Santé Thematic Network Director Organizer of Modeling, Analysis, Simulations working group Co-organizer of mathematical modeling in life sciences seminar Member of PEPR Maths-Vives Program Committee Active in AMIES and MAP1.5 environmental initiatives Research focuses on mathematical immunology , delay differential equations , and cell population dynamics with applications to CD8 T cell responses, B cell differentiation, and diseases like chronic lymphocytic leukemia and atopic dermatitis . Special emphasis on stochastic modeling and inter-individual variability in immune responses. Current projects include AI4scMED (multiscale AI for precision medicine), DCComm (dendritic-T cell communication), and Digi-DermA (dermatitis modeling). Supervises multiple postdocs and PhD students on these topics. Contributions include developing the Simuscale framework for multi-cell modeling and analyzing erythropoiesis dynamics and germinal center B cell differentiation .

Vincent Hokمشاهده پروفایل

مدرس

• Neuroscience
• Cognitive Science
• Spatial Cognition
• +۵ مورد دیگر

Vincent Hok is a Lecturer at the Laboratoire de Neurosciences Cognitives (LNC) at Aix Marseille Université, where he conducts research in cognitive neuroscience with a focus on spatial cognition and hippocampal function. His work primarily investigates how neural systems support spatial navigation, memory formation, and cognitive mapping in rodent models. Dr. Hok's research interests center on spatial cognition, hippocampal function, and neural coding mechanisms. His work explores how place cells and head-direction cells in the hippocampus and related brain structures represent spatial information, how these representations change during learning and memory tasks, and how stress and aging affect these neural systems. He employs sophisticated electrophysiological recording techniques to examine neural activity patterns during spatial navigation tasks, contributing significantly to our understanding of how the brain creates cognitive maps of the environment. His publication record shows consistent research output since 2004, with a focus on spatial navigation systems, hippocampal place cells, and the neural basis of memory. Dr. Hok's collaborative work spans multiple institutions and demonstrates expertise in both experimental neuroscience and computational analysis of neural data. His research has appeared in high-impact journals including Journal of Neuroscience, European Journal of Neuroscience, and Progress in Neurobiology. Dr. Hok has maintained a productive research program through collaborations with prominent researchers in the field including Bruno Poucet, Etienne Save, and Shane O'Mara. His work bridges experimental neuroscience with computational approaches to understand fundamental mechanisms of spatial cognition and memory.

Mike O'Callaghanمشاهده پروفایل

مدرس

• Virtual Reality
• Animation
• Digital Storytelling
• +۳ مورد دیگر

Mike O'Callaghan is a Lecturer in Animation at Ulster University's Belfast School of Art within the Faculty of Arts, Humanities & Social Sciences. He teaches on both undergraduate and MA Animation courses while maintaining active research and industry collaborations. His educational background includes a BA and MA in Computer Games Art. Prior to academia, O'Callaghan built an extensive industry career as a 3D artist working on major television productions including Disney's 'Doc McStuffins' (Peabody Award winner), 'Henry Hugglemonster', 'Octonauts', and the BBC's 'Go Jetters'. His research focuses on virtual reality storytelling and surreal animation, with particular emphasis on virtual production pipelines for theater applications. His current work integrates digital technology with traditional stagecraft to create innovative performance experiences. O'Callaghan has been actively involved in several significant research projects including the EPSRC-funded 'Development and Full Integration of VP Pipelines Adapted for Theatre Affordances' and 'XRNetwork+: Virtual Production in the Digital Economy'. His recent activities include virtual production pipeline training sessions, live stage testing of virtual production techniques, and presentations at international events including the Saudi Film Festival. From 2017-2023, he operated his own animation business 'Oaken Studios' working with clients including Lego and HBO while developing original concepts for VR films and television pitches.