جستجوی استاد راهنمای دانشگاهی

Mitchel DE LARA is a Professor at École des Ponts ParisTech (part of Institut Polytechnique de Paris), specializing in Mathematical and Computer Engineering. His research focuses on control theory, stochastic optimization, and their applications in energy systems, environmental modeling, and sustainable resource management. He holds a PhD in Mathematics and Applied Computer Science (1991) and a Habilitation to Supervise Research (2000). Education: PhD in Mathematics and Applied Computer Science, 1991 Habilitation à Diriger des Recherches (HDR), 2000 Research Interests: Optimization under uncertainty, viability theory, energy management systems, smart grids, and applications to natural resource sustainability. Recent work includes stochastic multi-stage optimization for clean energy transition and robust viable control of ecosystems. Teaching & Outreach: Leads international courses on stochastic optimization, including winter schools at CIRM and IMCA. Authored books like Stochastic Multi-Stage Optimization and Control Theory for Engineers . Serves on scientific committees for PGMO, INERIS, and the Institute for Energy Transition EFFICACITY. Labs & Teams: Researcher at CERMICS (Centre d'Enseignement et de Recherche en Mathématiques et Calcul Scientifique), collaborating on projects like SESO (Smart Energy and Stochastic Optimization) and Optim'Planet.

• Control Theory
• Stochastic Optimization
• Sustainable Management of Natural Resources
• +۳ مورد دیگر

Adrien Bousseau is a Senior Researcher at Inria within the GraphDeco group at Université Côte d'Azur. He earned his PhD from Inria Rhône-Alpes under Joëlle Thollot and François X. Sillion, with internships at Adobe and MIT. His postdoctoral research at UC Berkeley focused on computational design and graphics. Notable roles include leading the ANR DRAO project (2012–2015) and coordinating the CRISP associate team with UC Berkeley. He has received prestigious awards such as the Eurographics 2011 PhD Award and ERC grants for projects on 3D design and circular design. Research interests span image creation, stylization, vector graphics, and sketch-based modeling. Recent work explores computational methods for circular design and AI-driven design tools. He has supervised over 13 PhD students, including Nicolas Rosset (aerodynamics) and Emilie Yu (VR sketching). Key projects include ERC-funded initiatives on drawing interpretation and material acquisition. Service contributions include co-chairing Eurographics 2025 and EGSR 2021, and editorial roles at Computer Graphics Forum. Publicly accessible tools include Photoshop watercolor filters and academic resources like BendFields tutorials.

• Computer Graphics
• Image Processing
• Non-Photorealistic Rendering
• +۵ مورد دیگر

Pierre Alliez is a Researcher at Inria , currently serving as Head of the Project-team TITANE. His work focuses on robust geometry processing and 3D modeling, with applications in computational biology and smart territories. He has received prestigious awards including the Eurographics Young Researcher Award and two European Research Council grants. Research Interests : Geometry compression, surface approximation, mesh generation, and deep learning integration for 3D modeling. Grants : ERC Starting Grant (2011) and ERC Proof of Concept Grant (2017). Leadership Roles : Program co-chair for multiple international conferences (EUROGRAPHICS, Pacific Graphics, etc.). Contact: pierre.alliez@inria.fr

• Geometry Processing
• Computer Graphics
• 3D Modeling
• +۳ مورد دیگر

Delphine Picard is a Full Professor at Aix-Marseille University, affiliated with the Centre de Recherche en Psychologie de la Connaissance, du Langage et de l'Émotion (EA 3273 PSYCLE), specializing in Developmental Psychology. Her work focuses on developmental aspects of drawing behaviors, haptic perception, and food rejection in children. She holds a HDR (2007) and was a member of the Institut Universitaire de France (2009–2014). Education includes a PhD from Université de Bourgogne (1999) and postdoctoral research in sensory analysis at ENSBANA (2000–2001). She has directed numerous doctoral theses and supervised postdoctoral projects, including studies on prosocial behavior in infants, food categorization, and haptic processing. Research interests span developmental psychology, cognitive development, and the intersection of art and perception. Key contributions include studies on canonical size effects in drawing, tactile graphics interpretation by visually impaired individuals, and food neophobia in children. She has authored over 85 peer-reviewed articles and book chapters, with significant grants from institutions like the Fondation de France and the Institut Paul Bocuse Research Center. Awards include membership in the Institut Universitaire de France. Her lab work involves collaborations on projects like Haptic-2D testing and the development of educational tools such as the Child Food Rejection Scale.

• Developmental Psychology
• Haptic Perception
• Cognitive Development
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Paritosh Sharma is a postdoctoral researcher at Inria Sophia Antipolis (Biovision team), focusing on deep generative approaches for personalized VR content in low-vision rehabilitation. He earned his Ph.D. from Université Paris-Saclay under the supervision of Michael Filhol, specializing in animating Sign Language descriptions using 3D avatars. His academic background includes a Master of Science in Informatics from Université Grenoble Alpes and a Bachelor of Technology in Computer Science and Engineering from SRM Institute of Science and Technology. Research Interests : Enhancing accessibility via VR, sign language animation, eye-tracking interfaces for cognitively disabled individuals, and computer graphics applications in data science. Teaching Experience : Courses in virtual world creation (Blender/Unity), computer graphics for data science, AI, and object-oriented programming at institutions like Polytech Sophia Antipolis and IUT d’Orsay. Projects : Creative3D (low-vision VR rehabilitation), GazePlay (eye interaction methods), and Qt3D backend development for KStars planetarium software. Scientific Awards : Bronze Medal at UGA i-Days 2020 for an interdisciplinary application idea in Nutrition, AI, and IoT targeting elderly Vitamin D deficiencies.

• Computer Graphics
• Human-Computer Interaction
• Virtual Reality
• +۳ مورد دیگر

Gwenaël Kaminski is a Professor at the University of Toulouse - Jean Jaurès, affiliated with the Cognition, Languages, Ergonomics (CLLE) research laboratory within the Faculty of Arts, Letters, Languages, Human and Social Sciences. He holds the distinction of being a Junior Member of the University Institute of France, recognizing his scholarly contributions. His educational background includes a PhD from Université Paris-Nord - Paris XIII, where he completed his thesis titled 'Composante sociale des traits d'histoires de vie d'un ongulé forestier européen : cas du sanglier femelle' (Social component of life history traits of a European forest ungulate: case of the female wild boar) in 2005, demonstrating an interesting transition from zoological research to human cognitive psychology. Kaminski's research spans several interconnected domains of cognitive and evolutionary psychology. His primary focus areas include: Face recognition and processing, particularly examining how humans detect kinship through facial resemblance Evolutionary aspects of social cognition and mate preferences Tactile perception systems and accessibility technologies for visually impaired individuals Aesthetic responses to visual stimuli, particularly in art contexts The intersection of hormonal factors and social perception His work demonstrates a consistent trajectory from basic cognitive processes to applied research, particularly evident in his recent work on tactile pictograms for blind children. Kaminski frequently employs interdisciplinary approaches, combining methods from cognitive psychology, neuroscience, and human-computer interaction. Among his notable recognitions is his appointment as a Junior Member of the University Institute of France, highlighting his standing within the French academic community. His collaborative work on large-scale projects like the Psychological Science Accelerator demonstrates engagement with contemporary methodological reforms in psychological science. Kaminski maintains active research collaborations across multiple institutions, as evidenced by his co-authorship on international projects spanning numerous countries. His work on the cross-cultural applicability of social perception models represents one example of this global research perspective.

• Cognitive Psychology
• Evolutionary Psychology
• Face Recognition
• +۶ مورد دیگر

Julie Lemarié is a Professor of cognitive psychology and ergonomics at the University of Toulouse's UFR of Psychology and the Cognition, Languages, Ergonomics (CLLE) laboratory. Her academic career spans cognitive psychology research with a focus on document comprehension, multimedia learning, and accessibility for visually impaired individuals. Her research interests focus on three main areas: (1) mental processes involved in understanding and learning from documents, both multimedia and non-multimedia; (2) accessibility of digital documents for people with visual impairments; and (3) mental processes involved in choosing answers when taking multiple choice tests and implications for their design. Her work falls within cognitive psychology and cognitive ergonomics, with both theoretical scope (enrichment of models of understanding and learning) and applied scope (design of learning materials, technological devices, and assistive technologies). Professor Lemarié's recent publications demonstrate strong trends in multimedia learning, particularly examining how signaling in educational animations affects learners with different prior knowledge levels. She also maintains an active research program in multiple-choice testing methodology and digital accessibility for visually impaired students. Her work consistently applies cognitive psychology principles to practical educational and accessibility challenges. She currently supervises multiple doctoral students working on topics related to cognitive ergonomics, visual impairment, and language learning. Her pedagogical responsibilities include coordinating the Master's degree programs at the UFR of Psychology and co-coordinating the ECIT-FH Master's track in Cognitive Ergonomics, Technological Innovations and Human Factors. Professor Lemarié serves as the reference person for the Toulouse Mind & Brain Institute for the CLLE laboratory and is a member of the CNRS Pluridisciplinary Thematic Network on Education. She has developed research collaborations across multiple disciplines, reflecting her commitment to multidisciplinary approaches to cognitive psychology problems.

• Cognitive psychology
• Cognitive ergonomics
• Text comprehension
• +۷ مورد دیگر

Christian Germain is a Professor of Computer Science at Bordeaux Sciences Agro, an engineering school specializing in agronomy. He focuses on information technologies and their applications to agriculture and environmental science, conducting research in image analysis at the IMS laboratory. His work spans remote sensing, embedded agricultural imaging, and digital tool development for vineyards. Key Roles: Co-holder of the AgroTIC business chair (29 corporate sponsors), Scientific Director of DigiLab (open platform for wine-growing experiments). Research Themes: Remote sensing, agricultural imaging systems, covariance pooling in machine learning, and texture analysis for material science. His recent publications highlight collaborations with industry and academic partners, emphasizing applications in vineyard health monitoring, carbon composite modeling, and vine disease detection. Germain’s team utilizes CNNs, Gaussian mixture models, and SAR imaging techniques to advance agricultural and materials engineering. He has contributed to international conferences and journals, integrating computational methods with real-world agricultural challenges, including proximal sensing for crop management and 3D microstructure simulation.

• Computer Science
• Signal and Image Processing
• Remote Sensing
• +۵ مورد دیگر

Cédric HERZET is a Permanent Member of CREST at INRIA Rennes, focusing on statistical learning theory, optimization, and inverse problems. His work bridges theoretical analysis with practical algorithm development. Primary affiliation: INRIA Rennes (French National Institute for Research in Digital Science) Research Interests: Statistical Learning Theory, Optimization algorithms, Operational Research, Inverse Problems. His work particularly addresses sparse approximation, compressed sensing, and iterative thresholding methods. Key Contributions: Development of Bayesian pursuit algorithms, geometric analysis of subspace clustering with outliers, and analysis of state evolution in dense graph message passing. His theoretical work has direct applications in signal/image processing and machine learning. Software: Created MATLAB implementations of sparse approximation algorithms and Bernoulli-Gaussian Lab toolbox for Bayesian pursuit simulation.

• Statistical Learning Theory
• Optimization
• Operational Research
• +۳ مورد دیگر

Gauthier Vermandel is a full-time researcher at École Polytechnique's Department of Applied Mathematics (CMAP) and holds a tenured Associate Professor position at Université Paris-Dauphine-PSL. He is affiliated with the Institut Polytechnique de Paris and serves as a research fellow for the Stress-test Chair at Polytechnique. Vermandel is also a consultant for the Banque de France on climate change models through the DECAMS directorate and serves as President of DSGE-net, a non-profit organization supporting the Dynare project. His research interests focus on quantitative macroeconomics, climate change economics, and the development of economic modeling tools. Vermandel specializes in integrating climate considerations into macroeconomic frameworks, particularly through Dynamic Stochastic General Equilibrium (DSGE) models. His work explores social learning expectations, business cycle theory, and the economic impacts of carbon taxation policies. He has made significant contributions to the Dynare platform, extending its capabilities for climate economics and social learning applications. Vermandel's recent publications demonstrate a strong focus on the intersection of climate policy and financial markets, with particular attention to how carbon taxation affects economic stability. His research combines theoretical economic modeling with practical applications for policy makers, especially in the context of the European Union's green transition initiatives. EFA Prize in Responsible Finance (2021) Banque de France Young Researcher Prize in Green Finance (2023) Vermandel serves as program director of the Environmental Macro research group at the Institute for Macroeconomic and International Policies (i-MIP), hosted by PSE and CEPREMAP. He is a member of the Dynare Team working on implementing Dynare into Python/Julia environments and participates in the organization committee of the Quantitative Sustainable Finance (QSEF) seminar at CMAP–CREST. His former role as scientific advisor at France Stratégie (the French Prime Minister's research unit) provided him with direct policy experience that informs his academic work. Vermandel maintains active research laboratories through his leadership roles in DSGE-net and the Stress-test Chair, where his team develops advanced modeling techniques for assessing climate-related financial risks. His work bridges academic research with practical policy applications, particularly in the context of the European Central Bank's climate stress testing initiatives.

• quantitative macroeconomics
• climate change economics
• green finance
• +۵ مورد دیگر

David Coeurjolly is a Research Director at the French National Center for Scientific Research (CNRS) affiliated with LIRIS laboratory at Claude Bernard University Lyon 1. He leads the Origami research team and holds several leadership positions including Director of GdR Informatique Géométrique et Graphique and Co-lead of PEPR ICCARE. As co-founder of the DGtal library and General Chair of the Graphics Replicability Stamp Initiative, he significantly influences computational geometry research. His research spans digital geometry, discrete algorithms, Monte Carlo rendering, and geometry processing. Core innovations include work on optimal transport, low-discrepancy sampling, digital surface regularization, and curvature estimation methods. His approaches combine theoretical mathematics with practical implementations for computer graphics and scientific computing applications. Recent publications demonstrate strong focus on: Efficient transport algorithms (BSP-OT, Rectified Flows) Sampling theory innovations (Sobol' sequences, Owen scrambling) Digital geometry foundations (Gauss digitization, Laplace-Beltrami operators) Geometric transformations (bijective rotations, plane probing) Awards include: 🎫 Best Paper Award, SIGGRAPH Asia 2024 🎫 SGP Software Award 2016 He leads multiple ANR grants including SSLAM (point cloud ML), StableProxies (geometry processing), and MoCaMed (medical physics). His lab develops open-source tools like DGtal and maintains active collaborations through international initiatives like the Graphics Replicability Stamp.

• Digital Geometry
• Geometry Processing
• Point Sampling
• +۴ مورد دیگر

Nira Dyn is a Professor of Applied Mathematics at Tel Aviv University's School of Mathematics, where she has established herself as a leading researcher in geometric modeling and approximation theory. Her academic career spans decades of contributions to subdivision methods and computational mathematics, with a consistent focus on both theoretical foundations and practical applications in computer graphics and image processing. Research Interests Professor Dyn's primary research areas include Geometric Modeling , Subdivision methods , and Multivariate approximation theory , with significant contributions to Computer-Aided Geometric Design (CAGD) and Image Compression. Her current work centers on Nonlinear subdivision schemes and the Approximation of set-valued functions , representing cutting-edge extensions of classical approximation theory to handle complex geometric structures and uncertain data. These interests form a cohesive research program that bridges pure mathematical analysis with computational applications, particularly in handling geometric data through innovative subdivision techniques. Publication Trends Analysis of her recent publications reveals a strong emphasis on advancing subdivision methodologies beyond linear frameworks, with increasing focus on nonlinear schemes capable of handling complex geometries and set-valued data. Her work demonstrates consistent progression from foundational subdivision theory toward practical applications in image compression and geometric modeling, with notable contributions to metric-based approximation techniques. The publications showcase interdisciplinary reach spanning mathematics, computer science, and engineering applications, while maintaining rigorous mathematical foundations in approximation theory. Professional Activities While specific advising relationships and grant information aren't detailed in the available materials, Professor Dyn's extensive publication record in top-tier journals indicates active research leadership. Her collaborations span multiple institutions and disciplines, reflecting the interdisciplinary nature of modern geometric modeling research. The absence of explicit laboratory or team information suggests her work may be primarily theoretical or conducted through collaborative networks rather than a dedicated physical research space.

• Geometric Modeling
• Subdivision methods
• Multivariate approximation theory
• +۴ مورد دیگر

Vincent Tourre is an Associate Professor in the Department of Computer Science at Centrale Nantes, affiliated with the CRENAU Research Team (UMR CNRS 6051), a joint unit involving CNRS, Université Grenoble Alpes, and multiple architecture schools. His academic career spans urban data visualization, morphological analysis of urban spaces, and natural lighting simulation. His research interests focus on Urban Data Visualization , Morphological Analysis of Urban Spaces , and Virtual Reality Applications for urban environments. Recent work examines 360° image perception, urban soundscapes classification, and immersive geospatial data visualization. Tourre's publications demonstrate consistent output in top venues including ISPRS Annals, International Journal of Geographical Information Science, and the Journal of the Acoustical Society of America. Tourre's 15 most recent articles reveal a strong trajectory in interdisciplinary urban computing , with growing emphasis on machine learning applications for urban data analysis (particularly in acoustics and visual perception) since 2020. His work increasingly integrates virtual reality with multi-sensor urban monitoring systems. As course leader at Centrale Nantes, Tourre teaches urban data analysis, scientific visualization, and knowledge representation. His research training contributions include doctoral supervision and development of the CORAULIS VR Platform for immersive urban studies. The CRENAU team's collaborative structure provides access to extensive urban datasets and interdisciplinary expertise across architecture, computer science, and environmental studies.

• Urban Data Visualization
• Morphological Analysis of Urban Spaces
• Natural Lighting Simulation
• +۵ مورد دیگر

Khaoula Raboudi serves as an Associate Professor at the Higher Institute of Multimedia Arts of Manouba in Tunisia and is an active member of the CRESSON research team within the AAU Laboratory. Her institutional affiliations extend to the Joint Research Unit (UMR) comprising CNRS, UGA, ENSA Nantes, ENSA Grenoble, and Centrale Nantes, with significant collaborative work at the Grenoble Computer Science Laboratory. Professor Raboudi's research centers on the innovative application of generative techniques and machine learning in architectural and urban design. She specializes in developing solar control systems and sustainable building morphologies that address contemporary challenges in energy efficiency and user well-being. Her work uniquely integrates technical computational approaches with qualitative design dimensions, creating solutions that are both scientifically rigorous and human-centered. Analysis of her publication record from 2011-2024 reveals consistent research evolution from foundational solar envelope modeling to advanced machine learning applications. Her recent work shows increasing focus on artificial intelligence in environmental design, with notable contributions to both physical architecture and digital environments like animated films. The research demonstrates strong interdisciplinary connections between architecture, computer science, and environmental engineering. Professor Raboudi maintains an active research profile with regular conference presentations and journal publications. Her work with the CRESSON team demonstrates commitment to advancing architectural knowledge through computational methods, particularly in sustainability-focused design applications. Current projects like AMaL (Ambiances Machine Learning) indicate continued innovation at the intersection of architecture and artificial intelligence. Her research methodology combines theoretical architectural knowledge with practical computational techniques, often collaborating with computer scientists to develop specialized tools for solar analysis and morphological generation. This approach has produced valuable contributions to sustainable design practices and educational resources for architectural computation.

• Architectural Design
• Urban Morphology
• Solar Control Systems
• +۶ مورد دیگر

Marie-Christine ROUSSET is a Professor of Computer Science at the University of Grenoble Alpes (UGA) in France, where she is a member of the LIG (Laboratoire d'Informatique de Grenoble) in the SLIDE group. Previously affiliated with Paris-Saclay (LRI), she has established herself as a leading researcher in Knowledge Representation and Information Integration. She holds the distinguished position of Senior member of the Institut Universitaire de France (IUF) (2011-2016, renewed for 2016-2021) and serves as co-responsible for the chair Explainable and Responsible AI within MIAI Grenoble Alpes. Her research focuses on ontology-based data access, logic-based mediation between distributed data sources, query rewriting using views, data linkage, and distributed reasoning for the Semantic Web. She skillfully combines artificial intelligence and database techniques to address complex information integration challenges, with applications spanning biomedical informatics, educational technology, and trustworthy AI. Her work demonstrates consistent innovation from foundational research to practical implementations, as evidenced by her co-authorship of the book 'Web Data Management' published by Cambridge University Press. Professor ROUSSET's recent publications (2019-2022) reveal a growing emphasis on data privacy, RDF graph anonymization, and interactive ontology engineering, while maintaining her strong contributions to semantic web technologies and knowledge representation. Her research shows increasing attention to trustworthy AI concerns, aligning with her leadership roles in relevant projects. Scientific Recognition Senior member of Institut Universitaire de France (IUF) (2011-2016, renewed for 2016-2021) Junior member of Institut Universitaire de France (IUF) from 1997 to 2002 Chevalier de l'Ordre National du Merite (July 11, 2011) EurAI Fellow (nominated ECCAI Fellow in 2005) Best Paper Award at AAAI'96 for 'Verification of Knowledge Bases based on Containment Checking' Professor ROUSSET maintains an active role in the scientific community through editorial work and organizational leadership. She serves on the Editorial Board of Communications of the ACM (CACM) and has held significant roles including PC chair of EGC 2019, Workshops co-Chair of WWW 2018, and Area Chair of IJCAI 2017. Her consistent service on program committees of major international conferences demonstrates her standing in the field. Her laboratory, the SLIDE group within LIG, focuses on semantic web technologies, knowledge representation, and data integration. The group maintains strong connections with the international research community and participates in collaborative projects addressing cutting-edge challenges in artificial intelligence and data management, with particular emphasis on trustworthy and explainable AI systems.

• Knowledge Representation
• Information Integration
• Ontology-based data access
• +۷ مورد دیگر