جستجوی استاد راهنمای دانشگاهی

• Mesh generation
• Numerical simulation
• Finite element methods
• +۵ مورد دیگر

Houman BOROUCHAKI is a Professor at the University of Technology of Troyes (UTT), France, with over 20 years of academic leadership. He has served as Head of the Automatic Mesh Generation and Advanced Methods (GAMMA3) project team since 2008 and previously led the Laboratory of Mechanical Systems and Concurrent Engineering (LASMIS) (2005-2007). His work bridges academic research and industrial applications through collaborations with INRIA , French Petroleum Institute (IFPEN) , Dassault Aviation , and others. Research Interests: A pioneer in adaptive meshing , he focuses on finite element methods , geometric modeling , and numerical simulations . His innovations underpin mesh generation algorithms , 3D triangulation software , and industrial applications in metal forming, composite simulation, and subterranean modeling. Scientific Trends: His recent work emphasizes metric-based meshing , high-order geometric validity , and parallel processing for mesh generation , with applications in petroleum reservoirs, aviation surfaces, and nanomaterials. His Google Scholar profile reflects 25+ years of contributions to meshing and simulation. Teaching: With 22 years of experience, he teaches courses on meshing , numerical analysis , geometric modeling , and computer graphics at UTT, covering undergraduate to PhD levels. Labs & Teams: He leads the interdisciplinary GAMMA3 team and has contributed to LASMIS (mechanical engineering), L2n (CNRS-UMR 7076) (nanomaterials), and LIST3N (computer science).

• Computer Vision
• Robotics
• 3D Reconstruction
• +۴ مورد دیگر

El Mustapha Mouaddib is a Professor in the Perception and Robotics department at Universite de Picardie Jules Verne, affiliated with Laboratory Heudiasyc (UMR CNRS 7253). His research bridges advanced robotics with cultural heritage preservation, focusing on developing novel computer vision techniques for complex documentation challenges. His primary research interests include omnidirectional vision systems , hyperspectral imaging , and 3D reconstruction methodologies , with significant emphasis on applications for cultural heritage documentation. Mouaddib's work particularly addresses challenges in temporal illumination compensation , laser scanning registration , and multi-scale digitization of historical structures, as evidenced by his extensive Notre-Dame de Paris cathedral research. Analysis of his 15 most recent publications reveals a consistent trajectory toward heritage robotics - developing specialized computer vision algorithms for cultural preservation. His work demonstrates increasing sophistication in integrating multi-modal sensor data (TLS, hyperspectral, RGB-D) solving illumination challenges in historical documentation developing adaptive robotic systems for complex environments Notably, his Notre-Dame research forms a cohesive body of work examining structural changes through advanced 3D analysis. Mouaddib actively participates in major interdisciplinary projects including SAMURAI , ASSIDUITAS , SCANBOT , ADAPT , and SUMUM , which focus on heritage digitization and robotic exploration. His collaborative approach is evident through extensive co-authorship with institutions like CNRS and international partners in Japan and Italy. His laboratory work centers on the E-Cathedrale initiative, creating comprehensive digital twins of Gothic cathedrals through multi-temporal and multi-scale documentation. This involves developing specialized hardware (like the HDROmni camera system) alongside novel algorithms for processing challenging heritage environments.

• Additive Manufacturing
• Industrial Systems
• Product Design
• +۳ مورد دیگر

Matthieu Rauch serves as a Professor in the Product Design and Industrial Systems Department at École Centrale Nantes, affiliated with the Research Institute in Civil and Mechanical Engineering (GeM). His work bridges advanced manufacturing research with industrial applications across aerospace, naval, and transportation sectors. His research expertise includes: Wire Arc Additive Manufacturing (WAAM) and Laser Metal Deposition process optimization Multiphysics modeling of titanium/aluminum alloy deposition Real-time process monitoring systems for arc-based DED Cost-complexity analysis frameworks comparing additive/subtractive manufacturing Tool path generation for thin-wall structures Hybrid manufacturing methodologies for large-scale components Recent publications (2021-2024) reveal consistent innovation in metallic additive manufacturing, with emphasis on thermal management, defect reduction, and industrial scalability. Key contributions include novel CTWD control models, gas-particle flow analysis for powder efficiency, and methodologies for polymer large-component fabrication. His work demonstrates strong cross-disciplinary integration between computational mechanics and production engineering. Rauch actively contributes to GeM's research ecosystem at École Centrale Nantes, focusing on translating academic advances into practical industrial solutions for complex manufacturing challenges. No information regarding student supervision, grant funding, or scientific awards was evident in the source documentation.

• Visualization
• Computer-Aided Geometric Design
• Computer-Aided Design
• +۲ مورد دیگر

Georges-Pierre Bonneau is a Professor at University of Grenoble conducting research at Laboratoire Jean Kuntzmann (LJK) and INRIA in the MAVERICK research group. His academic career spans over three decades, beginning with his PhD from Universität Kaiserslautern in 1993, followed by positions as CNRS researcher (1994-2001), and Professor at University of Grenoble since 2001. Dr. Bonneau's research focuses on scientific visualization, computer-aided geometric design (CAGD), computer-aided design (CAD), and computational fabrication techniques. His work bridges theoretical geometric modeling with practical applications in structural monitoring, energy consumption visualization, and digital fabrication. He has developed innovative methods for surface reconstruction from sparse data, bending-active structures, and visualization of uncertain scalar data fields. His recent publications demonstrate a strong focus on immersive 3D modeling techniques, computational fabrication methods, and advanced visualization systems. Bonneau's research shows consistent evolution from foundational geometric modeling work in the 1990s-2000s toward contemporary applications in VR/AR interfaces, computational design of physical structures, and energy consumption visualization systems. Throughout his career, Bonneau has actively contributed to the academic community as conference organizer and program committee member for major venues including SPM, SMI, Eurographics, and IEEE Visualization conferences. He has supervised numerous PhD students whose work spans diverse applications of geometric modeling and visualization, with recent students focusing on surface creation from sparse strokes, bending-active structures, and structural monitoring systems. His former students have gone on to successful careers at institutions including AAC Clyde Space, Zurich Insurance, Pixminds, ISIR, and CEA.

Marie-Paule Caniمشاهده پروفایل

استاد

• Computer Graphics
• Geometric Modeling
• Computer Animation
• +۸ مورد دیگر

Marie-Paule Cani is a Professor of Computer Science at École Polytechnique since May 2017, previously affiliated with Grenoble Institute of Technology (INP) and INRIA until 2017. She leads the STREAM research team (Structure Representation and Extraction for computer Animation and geometric Modeling) and was head of the IMAGINE project team (joint LJK/INRIA). Her work bridges geometric modeling, computer animation, and intuitive 3D content creation methods.

Zachary Tatlockمشاهده پروفایل

دانشیار

• Programming Languages
• Formal Verification
• Compiler Design
• +۴ مورد دیگر

Zachary Tatlock is an Associate Professor at the Paul G. Allen School of Computer Science & Engineering , University of Washington , with a focus on Programming Languages . His research spans formal verification , compiler design , floating-point accuracy , and machine learning frameworks , unified by themes of making tricky code easier to write and ensuring correctness through rigorous proofs and empirical systems. His recent work includes unifying Datalog and equality saturation (PLDI 2023), exploring LLM-driven document markup (Programming with AI 2024), and advancing floating-point error analysis via interactive tools like Odyssey (UIST 2023). He leads the UW PLSE research group and co-organizes events like EGRAPHS and FPTalks . Key collaborations include verifying distributed systems in CakeML (ECOOP 2022) and developing egglog , an e-graph library with relational extensions (PLDI 2023). His teaching includes Solver-Aided Programming (CSE 507) and Grad PL (CSE 505), emphasizing both Greek (formalism) and graphs (empiricism) .

• Computer Graphics
• 3D Modeling
• Virtual Reality
• +۳ مورد دیگر

Stefanie Hahmann is a Professor at Grenoble INP – Ensimag, affiliated with Université Grenoble Alpes (UGA). She is also a researcher at the Laboratoire Jean Kuntzmann (LJK) and part of the ANIMA research team, which focuses on animating objects for digital storytelling. Her work emphasizes geometric modeling and IT tools for creating realistic 3D objects and virtual worlds. Key research areas include sketch-based modeling, where 2D sketches are transformed into 3D objects, and applications in fashion design and architecture. Her research aims to develop intuitive tools for 3D creation accessible to non-experts, such as systems that virtualize clothing designs from 2D fashion sketches. She was honored with the 2022 Humboldt Prize by the Alexander von Humboldt Foundation for her contributions to scientific collaboration and innovation. Stefanie’s work bridges computer science and applied mathematics, addressing unresolved challenges like mathematically defining the 'style' of sketched objects. Her interdisciplinary approach impacts fields like animation, video games, and 3D printing.

Aldo Gonzalez-Lorenzoمشاهده پروفایل

دانشیار

• Computational Topology
• Discrete Geometry
• Algorithmic Topology
• +۳ مورد دیگر

Aldo Gonzalez-Lorenzo is an Associate Professor (maître de conférences) at Aix-Marseille University in Arles, France, where he conducts research at the GMOD team of the Laboratoire d'Informatique et des Systèmes (LIS). His academic work bridges theoretical computer science with practical applications in computational topology and discrete geometry. His primary research interests focus on computational topology and discrete geometry, with particular emphasis on homology computation, digital topology, and geometric modeling. Gonzalez-Lorenzo develops algorithms for analyzing topological features in digital objects, with applications ranging from 3D mesh processing to motion planning for robotics. His work combines theoretical foundations with practical implementations, often resulting in efficient computational methods for complex topological problems. Analysis of his recent publications reveals a strong trend toward practical applications of topological methods. His work spans from theoretical contributions in Alexander duality and discrete Morse theory to applied research in motion planning, CO2 storage analysis, and 3D mesh processing. A notable pattern is his development of efficient computational methods for measuring and analyzing topological holes across various domains, demonstrating the versatility of topological approaches in solving diverse computational problems. 2022 CG:SHOP Geometric Optimization Challenge winner (with team Shadoks) for coordinated motion planning Best paper award at GTMG 2021 for research on measuring holes in 3D meshes Gonzalez-Lorenzo actively participates in multiple research groups including IAPR-TC18, GT GDMM, and GTMG. His work at the GMOD team within LIS focuses on developing computational methods that bridge theoretical topology with practical applications in computer graphics, robotics, and scientific computing. He has developed several interactive tools and web applications to demonstrate and apply his research, including visualizations of Parcoursup algorithms and interactive tools for working with HDVFs (Homological Discrete Vector Fields).

LAMBERT Zoéمشاهده پروفایل

دانشیار

• Signal and image processing
• Medical imaging
• Deep learning
• +۷ مورد دیگر

Zoé Lambert is an Associate Professor at the University of Rouen Normandy and a member of the LITIS laboratory. She completed her PhD in Applied Mathematics (2019–2022) at INSA Rouen Normandie, funded by the Normandy Region, with a thesis on hybrid variational and deep learning approaches for medical image segmentation. Prior to her PhD, she worked as a Research Engineer at INSA Rouen (2018–2019) on weakly supervised learning for medical imaging and as a Data Scientist Intern at AID in Paris (2018). Her current research focuses on integrating geometric and topological constraints into deep learning models for medical imaging and coastal cliff crack detection. Research Interests Zoé develops advanced image segmentation methods combining variational models and deep learning, with emphasis on: Topological prescriptions in CNNs Geometric constraints for anatomical accuracy Registration techniques via nonlinear elasticity Public dataset creation for crack segmentation Directional total variation decomposition models AI applications in energy transition (Prioreno tool) Scientific Contributions She co-organized the SegTHOR challenge at IEEE ISBI’19, which automated segmentation of thoracic organs-at-risk for radiotherapy. Her work on weighted total variation regularization and Mumford-Shah terms has improved segmentation reliability in scenarios with limited data. She also contributed to the DEPHY3GEO project at CEREMA (2023–2024), focusing on cliff crack detection using thermal infrared imagery. Honors and Collaborations Zoé won first place in the Normandy Datathon (2023) for her energy vulnerability decision support tool. She served on INSA Rouen’s Scientific Council (2020–2022) and laboratory council (LMI). Her collaborations span LITIS, LMI, CEREMA, INRIA, and international institutions like INSA Lyon and the University of Bordeaux.

• Computer Graphics
• Procedural Generation
• Real-time Rendering
• +۷ مورد دیگر

Pascal Guehl is a Part-Time Lecturer in Computer Graphics at the University of Strasbourg and Head of the new Master of Science and Technology in Extended Cinematography at École Polytechnique (LIX lab). He holds a PhD in Computer Graphics from the University of Strasbourg (2022) and has extensive experience in R&D roles across industry and academia. His core expertise spans procedural generation, real-time rendering, GPU computing, and virtual production technologies, with notable contributions to texture synthesis and semi-procedural modeling. Education highlights include a MRes from University Lyon 1 (2016), an Advanced Master from Arts & Métiers ParisTech (2005), and a master's in Physics from University Cergy-Pontoise (2000). His teaching spans over 15 years, covering C++ programming, real-time 3D graphics, and generative AI. Research focuses on interdisciplinary applications of computer graphics in film production, biology visualization, and defense systems. Key achievements include the semi-procedural texture synthesis framework (SIGGRAPH 2020) and leadership in ANR-funded projects like Animation Conductor (2023-2027). Awards include a Graphics Replicability Stamp and Honorable Mention for procedural texture work. Professional affiliations include ICube research lab (University of Strasbourg), where he co-supervises PhD students like Tara Butler, and collaborations with institutions like Telecom Paris, ENS Louis-Lumière, and Purdue University. Current projects emphasize extended cinematography tools and generative AI integration in visual effects pipelines.

• Virtual Reality
• Lighting Simulation
• Ergonomics
• +۵ مورد دیگر

Thierry Blandet is a Researcher in the Geometric and Graphics Computing (IGG) team at the ICube Laboratory, University of Strasbourg. He leads the Visualization and Interaction division within the GAIA research platform. His roles involve advancing projects in virtual reality, lighting simulation, and industrial ergonomics. Current initiatives include the VIRTFac project for Industry 4.0 optimization (2019–2022), the EMERA virtual reality radiation protection training platform (2021+), and the Reord-Pdm project on production rescheduling (2024–2025). He also contributed to the ENSAS Lighting Laboratory’s solar illumination simulators, aiding architectural daylighting studies. Research interests focus on integrating virtual reality across diverse domains: ergonomic workplace assessment via tools like Ergonom.io, radiation safety training, and sustainable architectural lighting design. His work bridges engineering, computer science, and architecture, emphasizing practical applications in industry and education. Publications span VR applications in ergonomics, lighting simulation technologies, and 3D projection systems. Collaborations include partnerships with the CSIP team, IPHC, and the Faculty of Physics & Engineering. The ERGONOM-MMH project (2023–2024) exemplifies his exploration of VR for analyzing manual handling tasks and exoskeleton support. Contact details: Office B264 at Telecom Physique Strasbourg, reachable via thierry.blandet@unistra.fr or +33 3 68 85 46 09.

Frederic Cordierمشاهده پروفایل

دانشیار

• Computer Graphics
• 3D Modeling
• Texture Mapping
• +۵ مورد دیگر

Frederic Cordier is an Associate Professor (HDR) at the University of Haute-Alsace, affiliated with the LMIA department within the Faculty of Science and Technology (FST). His research focuses on computer graphics, 3D modeling, and geometric algorithms. He holds a PhD in Computer Science from the University of Geneva (2004) and advanced degrees from the University of Lyon. His work spans sketch-based interfaces, cloth simulation, medical modeling, and texture mapping. Key projects include inferring mirror symmetry from sketches, compressing 3D mesh sequences, and reconstructing organ models from medical data. His contributions to real-time cloth simulation and dressed virtual humans have been influential in interactive systems and virtual garment design. Publications emphasize geometric algorithms for shape reconstruction, symmetry detection, and medical applications. He has held visiting roles at KAIST (South Korea) and conducted postdoctoral research in computational geometry. Teaching includes graduate-level computer science courses in Geneva and Haute-Alsace.

• Data Engineering
• Geometric Modeling
• Computer-Aided Design
• +۲ مورد دیگر

Mehdi Baba-Ali serves as a PartTime Lecturer at ISAE-ENSMA, actively contributing to the Data Engineering Team within the LIAS laboratory. His academic role focuses on advancing geometric modeling methodologies and parametric system design for engineering applications. His research spans Data Engineering , Geometric Modeling , and Computer-Aided Design , with specialized expertise in edge matching algorithms, n-dimensional topology, and parametric system optimization. He develops computational techniques that enhance robustness in CAD environments through shape characteristic analysis and geometric kernel operations. Publications from 2005-2010 reveal consistent innovation in geometric modeling, particularly in edge matching for non-planar faces, n-dimensional generalized maps, and bulletin board integration. His work bridges theoretical computer science with practical engineering solutions, emphasizing algorithmic efficiency in parametric design systems. Within LIAS laboratory, Baba-Ali collaborates across interdisciplinary teams including Automatic Control and Real Time research groups, fostering integration of data engineering principles with aerospace and mechanical systems development.

Amal Dev Parakkatمشاهده پروفایل

استادیار

• Sketch-based Interfaces
• Geometry Processing
• Digital Content Creation
• +۳ مورد دیگر

Amal Dev Parakkat is a tenured Assistant Professor at Telecom Paris (Institut Polytechnique de Paris) since September 2021, affiliated with the Computer Graphics Group and the IMAGES research team. His work focuses on sketch-based interfaces and geometry processing , particularly for digital content creation tasks like 3D shape inference and mesh generation. PhD in Computer Science from IIT Madras (2019), under Ramanathan Muthuganapathy Postdoctoral experience at Ecole Polytechnique (2019) and TU Delft (2020-2021) Research highlights include Surface Reconstruction , Interactive Modeling , and Geometric Algorithms . He leads the ANR SketchMAD project (2024-2028) and serves as International Mobility Chair at Telecom Paris. His publications span top conferences like SIGGRAPH Asia , Eurographics , and ACM CHI . Scientific Awards: SMI Young Investigator Award (2024) BEST PAPER AWARD (SIGGRAPH Asia Technical Communication 2023) Administrative roles include Head of Interaction, Graphics & Design at Telecom Paris. He mentors PhD students Tara Butler , Anandhu Sureshkumar , and Leiheng Qin , and collaborates with international researchers.

Pierre Alliezمشاهده پروفایل

استاد

• Geometry Processing
• 3D Shape Analysis
• Computer Graphics
• +۳ مورد دیگر

Pierre Alliez is a Research Director at Inria, specializing in geometry processing and digital representation of 3D shapes. He has been associated with several project teams at Inria, including Geometrica (2010-2013), GraphDeco (2016-present), and Sierra (2020-present). Dr. Alliez pioneered the field of digital geometry processing, developing techniques for representing and processing 3D shapes analogous to signal processing for 1D signals and image processing for 2D images. His research bridges theoretical mathematics with practical applications in computer graphics and geometric modeling, with implications for computer-aided design, virtual reality, 3D scanning, and digital heritage preservation. His significant contributions were recognized with: ERC Starting Grant (2010) As team leader of GraphDeco, Dr. Alliez oversees cutting-edge research that continues to push the boundaries of how we represent and interact with digital 3D content. His vision positions digital geometry processing as the logical continuation of the digitization of sound in the 1970s-80s, images, and video in the 2000s, but applied to 3D geometry.