جست‌وجوی استاد و پژوهشگر

Johannes Brandstetterمشاهده پروفایل

دانشیار

• Machine Learning
• Deep Learning
• Geometric Deep Learning
• +۵ مورد دیگر

Johannes Brandstetter is an Associate Professor at the Institute for Machine Learning at Johannes Kepler University Linz (JKU) where he leads the "AI for data-driven simulations" research group. He is also Co-founder and Chief Scientist at Emmi AI, bridging academic research with industrial applications in AI-driven physics simulation. Brandstetter earned his PhD after working at CERN's CMS experiment on Higgs boson physics. In 2018, he transitioned to machine learning, joining Sepp Hochreiter's research group in Linz. From 2021-2023, he worked at the Amsterdam Machine Learning Lab under Max Welling and Microsoft Research, developing expertise in Geometric Deep Learning and neural surrogates for partial differential equations. He returned to JKU in October 2023 to establish his own research group. His research spans Machine Learning, Deep Learning, and Physics-Informed Machine Learning with focus areas including Neural PDE solvers, Computational Fluid Dynamics, and Climate Modeling. Brandstetter believes AI is poised to revolutionize industrial-scale simulations, potentially saving thousands of compute hours across engineering domains. His work integrates computer vision, numerical simulation, and engineering components to advance data-driven approaches. Recent publications reveal a strong trend toward foundation models for scientific applications, particularly in atmospheric modeling (Aurora), geometric deep learning, and neural surrogates for complex physical systems. His interdisciplinary work spans computer vision, climate science, computational physics, and engineering, demonstrating the versatility of his research approach. Principal Investigator for "AlKa-DL: Alpine karst spring discharge prediction" (FWF-funded, 2024-2027) Principal Investigator for Cluster of Excellence "Bilateral Artificial Intelligence" (FWF-funded, 2024-2029) Co-PI for "Fast, efficient and flexible CFD simulation through generative AI" (FFG-funded, 2025-2026) As an educator and researcher, Brandstetter actively engages with the scientific community through invited talks at major conferences including presentations on "Closing the Gap Between Scientific Foundation Models and Real-World Applications" (March 2025) and "Scientific Machine Learning for Science and Engineering" (February 2025).

• Computer graphics
• Geometry processing
• Computer-aided geometric design
• +۶ مورد دیگر

Leif Kobbelt is a Full Professor of Computer Science and Head of the Visual Computing Institute at RWTH Aachen University . He previously held academic positions at the Max-Planck-Institute for Computer Science, University of Erlangen-Nürnberg, and University of Wisconsin-Madison. Diploma in Computer Science (1992), Karlsruhe Institute of Technology PhD in Computer Science (1994), Karlsruhe Institute of Technology His research focuses on computer graphics and geometry processing , with specific interests in 3D reconstruction, quad mesh generation, real-time rendering, and geometric modeling algorithms. He has pioneered techniques for efficient mesh processing, anisotropic geodesic computation, and procedural facade visualization. Recent publications analyze nonlinear constraints in geometric modeling, quad layout optimization, and real-time rendering techniques. Key themes include mesh parameterization, multiresolution analysis, and computational geometry for interactive applications. Scientific recognitions include: 2014 Gottfried Wilhelm Leibniz Prize (Germany's most prestigious research award) 2013 ERC Advanced Grant (ACROSS project) 2008 Eurographics Fellow 2004 Eurographics Outstanding Technical Contribution Award 2000 Heinz-Maier-Leibnitz Award He leads major research initiatives like the excellence clusters UMIC (€40M) and AICES (€15M), and the ERC-funded ACROSS project (€2.5M, 2014-2018). He serves as principal investigator and reviewer for international journals and organizations.

Michael Wimmerمشاهده پروفایل

استاد

• Computer Graphics
• Real-Time Rendering
• Point Clouds
• +۴ مورد دیگر

Univ.Prof. Michael Wimmer is a Professor in the Department of Computer Graphics and Visualization at TU Wien's Faculty of Informatics. His research focuses on real-time rendering, point cloud processing, GPU computing, and computational design. He leads projects involving architectural visualization, thermal simulation, and integrative design frameworks combining 4D sketching with material modeling. His work bridges computer graphics with applications in architecture and engineering. ORCID: 0000-0002-9370-2663 Research Group: Network Lab Recent research emphasizes GPU-accelerated algorithms (e.g., LOD generation for 2 billion points), real-time rendering techniques, and deep learning approaches for surface reconstruction. Collaborations span thermal simulation with civil engineers and 4D design tools for architects. Notable contributions include: Developing PPSurf for detailed surface reconstruction using point convolutions Advancing Vulkan-based rendering pipelines in academic settings Integrating light polarization for HDR imaging His lab explores applications in architectural design metaphors, computational material assessment via GeoRadar, and thermal simulation using precomputed radiative transport. Students under his supervision focus on GPU optimization, 3D reconstruction, and VR ergonomics.

• Visual Data Exploration
• Human-Computer Interaction
• Large-Scale Data Visualization
• +۵ مورد دیگر

Manuela Waldner is an Associate Professor in the Department of Computer Graphics at Technische Universität Wien (TU Wien). Her research focuses on visual data exploration, human-computer interaction, and immersive analytics. She leads projects like 'Visual Analytics and Computer Vision meet Cultural Heritage' (FWF doc.funds.connect) and 'Joint Human-Machine Data Exploration' (FWF). She teaches courses including 'Computer Graphics', 'Information Visualization', and 'Visual Research Methods'. Awards include the Best Paper Award at EuroVA 2024. Her work spans medical visualization, VR navigation, and bias analysis in AI models. She advises numerous PhD and Master's students, contributing to 43+ publications.

Klaus Muellerمشاهده پروفایل

استاد

• Visual Analytics
• Explainable Machine Learning and AI
• Algorithmic Fairness and Transparency
• +۷ مورد دیگر

Klaus Mueller is a Professor in the Computer Science Department at Stony Brook University , with additional appointments in Biomedical Engineering and Radiology. He serves as Director of the Visual Analytics and Imaging (VAI) Lab, Liaison for the SUNY Korea CS Program, and Interim Chair of the Department of Technology and Society . His career spans roles at Brookhaven National Lab and leadership positions at SUNY Korea. Dr. Mueller earned his PhD in Computer and Information Science (1998), MS in Computer and Information Science (1996), and MS in Biomedical Engineering (1990) from The Ohio State University , alongside a BS in Electrical Engineering (1987) from the Polytechnic University of Ulm, Germany. His research focuses on visual analytics , explainable AI , algorithmic fairness , computational imaging , and medical imaging . He has pioneered GPU-accelerated CT reconstruction techniques, bias mitigation frameworks (e.g., D-BIAS), and tools like DOMINO for causal reasoning. His work bridges data science , human-computer interaction , and medical applications , often integrating large language models for visualization tasks. Recent publications highlight advances in multivariate volume rendering , LLM-driven bias detection , and mDDPM-based medical image synthesis . His articles span IEEE Transactions , Nature Machine Intelligence , and conferences like IEEE VIS and ACM CHI . Award highlights include NSF CAREER (2000), SUNY Chancellor Award (2011), IEEE Golden Core Award (2016, 2022), induction into the National Academy of Inventors (2018), and elevation to IEEE Fellow (2024). He has chaired major conferences and served as Editor-in-Chief of IEEE Transactions on Visualization and Computer Graphics (2019-2022). He teaches graduate and undergraduate courses in visualization , medical imaging , and GPGPU programming , and leads the Visual Analytics Seminar (CSE 648). His lab ( VAI Lab ) fosters interdisciplinary research in GPU-accelerated analytics and ethical AI.

• Computer Graphics
• Rendering
• Color Science
• +۴ مورد دیگر

Privatdozent (Senior Lecturer) Alexander Wilkie is affiliated with the Faculty of Informatics at the Technische Universität Wien , specifically the Institute of Computer Graphics and Algorithms. His research focuses on photorealistic rendering, color science, and optical phenomena. Photorealistic Image Synthesis Bidirectional Reflectance Distribution Function (BRDF) Chromatic Adaptation Spectral Rendering Fluorescence Modeling His work explores layered materials, atmospheric effects, and gemstone simulations, with significant contributions to physically based rendering algorithms. Students under his supervision include Andreas Weidlich and Harald Grasberger. Wilkie has collaborated on projects funded by the Austrian Science Fund (FWF) from 2005–2007.

Philipp Erlerمشاهده پروفایل

پژوهشگر

• Surface Reconstruction
• Point Clouds
• Deep Learning
• +۴ مورد دیگر

Philipp Erler is a PreDoc Researcher at the Computer Graphics department of Vienna University of Technology . His work focuses on surface reconstruction from point clouds, geometry processing, and deep learning applications in computer graphics. Research Highlights : LidarScout (2025): Direct out-of-core rendering of massive point clouds PPSurf (2024): Patch-based deep learning for surface reconstruction Points2Surf (2020): Implicit surface learning from raw point clouds without normals His research extends into virtual reality, physical simulations, and natural language processing. He has supervised four theses on topics including surface reconstruction optimization and differentiable rendering.

Dieter W. Fellnerمشاهده پروفایل

استاد

• Computer Graphics
• Digital Libraries
• Computational Geometry
• +۷ مورد دیگر

Dieter W. Fellner is a distinguished Professor of Computer Science at Technical University of Darmstadt, Germany, where he serves as Director of the Fraunhofer Institute of Computer Graphics (IGD). He also holds a concurrent position as Professor of Computer Science and Founding Director of the Institute of Computer Graphics and Knowledge Visualization at Graz University of Technology, Austria. With a career spanning over three decades, Fellner has established himself as a leading figure in computer graphics, digital libraries, and related fields. Education: Diploma in Technical Mathematics, Graz (1981) Doktorate (Ph.D.) in Technical Mathematics, Graz (1984) Habilitation, Graz (1988) Professor Fellner's research spans multiple domains within computer science, with a primary focus on computer graphics and its applications. His work encompasses computational geometry, 3D modeling and rendering, virtual and augmented reality, and digital libraries with emphasis on cultural heritage preservation. He has made significant contributions to algorithms for integrating modeling and rendering processes, efficient visualization techniques, and generative modeling approaches. His research extends to practical applications in internet-based multimedia systems, where he coordinated a strategic initiative funded by the German Research Foundation that supported approximately 50 researchers across 21 groups from 1997 to 2005. An analysis of Professor Fellner's publication record reveals a consistent trajectory of innovation in computer graphics and digital document systems. His early work focused on foundational graphics algorithms and videotex systems, evolving toward more complex 3D document modeling, visualization techniques, and digital library architectures. A notable trend is his interdisciplinary approach, bridging computer graphics with applications in cultural heritage, bioinformatics, and brain-computer interfaces. His research demonstrates a progression from theoretical algorithms to practical implementations addressing real-world challenges in information visualization and knowledge management. Scientific Awards: Fellow of the Eurographics Association (2000) Member of the IST Advisory Group for the European Commission (ISTAG) (2007) Best Technical Paper Award (Günther Enderle Award) at Eurographics'98 Conference Honorary Doctorate from the University of Rostock (2019) Throughout his career, Professor Fellner has supervised numerous students and researchers, though specific names are not documented in the available sources. His leadership extends to significant grant activities, most notably coordinating the German Research Foundation's strategic initiative on distributed processing and mediation of digital documents from 1997 to 2005. This major project provided funding for approximately 50 researchers annually across 21 research groups, demonstrating his capacity to lead large-scale collaborative research efforts. He has also served on editorial boards of leading journals and program committees of international conferences, shaping the direction of research in his fields of expertise. Professor Fellner directs the Fraunhofer Institute of Computer Graphics (IGD) in Darmstadt, a prominent research institution focused on applied computer graphics. He also founded and chairs the Institute of Computer Graphics and Knowledge Visualization at Graz University of Technology. These institutions serve as hubs for interdisciplinary research, bringing together computer scientists, domain experts, and industry partners to advance the state of the art in visualization, digital libraries, and knowledge management systems. The teams under his leadership have produced influential work in 3D document processing, cultural heritage digitization, and advanced visualization techniques.

Reinhold Preinerمشاهده پروفایل

پژوهشگر

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

Reinhold Preiner is a Senior Researcher at the Institute for Computer Graphics and Knowledge Visualization, part of the Faculty for Computer Science and Biomedical Engineering at TU Graz. He holds a PhD from TU Wien (2017) focused on dynamic and probabilistic point-cloud processing. His research emphasizes 3D graphics, geometry processing, and cultural heritage digitization. Current projects include Open Reassembly (fragment assembly for archaeological artifacts) and VR4CPPS (virtual reality in production systems). Education: PhD in Computer Science, TU Wien (2017) Dipl.-Ing. (MSc equivalent) in Computer Science, TU Wien Research Interests: Probabilistic geometry processing, interactive visualization, cultural heritage preservation through digital methods, and VR applications. Recent work includes thermal conduction modeling in astrophysical systems and crowd simulation algorithms. Projects & Grants: FWF Research Group A+CHIS (Cultural Heritage Informatics) Collaborative projects with Fraunhofer Institute Labs/Teams: Leads the Visual Computing group at TU Graz, collaborating with international partners on cultural heritage digitization and VR solutions.

• Machine Learning for Visual Computing
• Big Data Visualization and Analytics
• Data Science and High-Performance Computing (HPC)
• +۴ مورد دیگر

Soumya Dutta is an Assistant Professor in the Department of Computer Science and Engineering (CSE) at the Indian Institute of Technology Kanpur (IITK) since 2022. He previously held positions at Los Alamos National Laboratory as a Postdoctoral Researcher (2018-2019) and Scientist II (2019-2022). Dr. Dutta earned his Ph.D. and M.S. in Computer Science from The Ohio State University (2011-2018) and a B.Tech in Electronics and Communication Engineering from the West Bengal University of Technology (2005-2009). His research lies at the intersection of Machine Learning , Visual Computing , Big Data Analytics , and High-Performance Computing (HPC) . He focuses on developing scalable solutions for extreme-scale data, such as exascale simulations, social media, IoT, and healthcare. His work emphasizes uncertainty quantification in AI models and interactive visualization techniques. Dr. Dutta’s recent publications highlight his expertise in in situ visualization for climate modeling, implicit neural representations for uncertainty-aware rendering, and statistical sampling for exascale systems. His funded projects include AI-driven data analytics frameworks and deepfake defense mechanisms supported by ISRO, SERB, and C3iHub. Scientific Awards include Best Reviewer (TVCG), Best Paper (ISAV, TopoInVis), and LAAP Award (LANL).

Bernd Bickelمشاهده پروفایل

استاد

• Computational Design
• Digital Fabrication
• Computer Graphics
• +۷ مورد دیگر

Bernd Bickel is a Full Professor for Computational Design at ETH Zurich, embedded in the Design++ research center. He holds a Master's degree from ETH Zurich and a PhD from ETH Zurich under Markus Gross. Previously, he was at IST Austria (2015–2023), Disney Research, and TU Berlin as a visiting professor. His research focuses on computational design, digital fabrication, and simulation, with applications in robotics, computer vision, and material science. Key interests include physics-based simulation, geometry processing, and interdisciplinary engineering. Notable awards include the Academy of Motion Picture Technical Achievement Award (2019), SIGGRAPH's Significant New Researcher Award (2017), and the EUROGRAPHICS Best PhD Thesis (2012). He leads the Computational Design Lab at ETH Zurich and collaborates with institutions like Inria Nancy on projects such as MFX team collaborations. His work spans academic contributions (over 50 publications) and industrial applications, including the FlexMaps Pavilion (First Prize at IASS 2019) and computational tools for 3D printing. He actively mentors PhD students and oversees grants like ERC Starting Grant 'Materializable'.

Annalena Ulschmidمشاهده پروفایل

پژوهشگر

• Physically-based Rendering and Simulation
• Statistics / User Studies
• Incremental Path Tracing for Scene Editing
• +۴ مورد دیگر

Annalena Ulschmid is a PreDoc Researcher at the Vienna University of Technology , affiliated with the Faculty of Informatics and the Computer Graphics group. She holds an MSc and contributes to research in physically-based rendering , user studies , and real-time graphics algorithms . Research spans incremental path tracing , alternative rendering datastructures , and probabilistic models for participating media . Key projects include ACD (Automated Prioritization for Context-Aware Re-rendering) (2020–2028) and IVILPC (Single-Exemplar Lighting Style Transfer) (2023–2026). She teaches courses like Computer Graphics , Fundamentals of Computer Graphics , and Rendering . Publications focus on real-time rendering , VR accessibility , and lighting style transfer . Her work has been recognized with the Best Student Paper Award at VISIGRAPP 2025 . Notable collaborations include Michael Wimmer and Katharina Krösl . Further details are available via her ORCID profile and GitHub repository .

Tomáš Skřivanمشاهده پروفایل

پژوهشگر ارشد

• Physics Simulation
• Computer Graphics
• Numerical Methods
• +۳ مورد دیگر

Tomáš Skřivan serves as a Research Fellow at the Hoskinson Center for Formal Mathematics , Carnegie Mellon University. His work bridges formal mathematics with practical scientific computing through the development of the SciLean library in Lean 4, targeting enhanced reliability in machine learning and simulation software. Skřivan's research spans interdisciplinary domains with core emphases on: Physics-based simulation of fluid dynamics and wave phenomena Computer graphics algorithms for light transport and rendering Formal verification techniques applied to numerical methods Mathematical modeling of viscoelastic materials His publication trajectory since 2016 reveals evolving expertise from computational fluid dynamics (water wave simulation, viscoelastic modeling) toward formal methods in scientific computing, consistently merging theoretical rigor with practical implementation. Recent work on SciLean represents a strategic pivot toward verified software foundations. As a key contributor to the Hoskinson Center's mission, Skřivan collaborates on projects leveraging proof assistants to eliminate errors in scientific code. The center, established through Charles Hoskinson's support, pioneers mathematically guaranteed correctness in computational science through formal verification frameworks.

Donald Degraenمشاهده پروفایل

استادیار

• Haptics
• Virtual Reality
• Fabrication
• +۳ مورد دیگر

Donald Degraen is an Assistant Professor and Lecturer at the University of Canterbury, affiliated with the HIT Lab NZ, a leading research center in New Zealand. His work focuses on the intersection of haptics, fabrication, and virtual reality, with a particular emphasis on designing touch experiences and novel interaction methods. His research explores tools and techniques for generating tactile textures, sensory substitution for object detection, and collaborative haptic design. Donald’s research spans immersive technologies, including studies on virtual reality (VR) and augmented reality (AR) applications such as cycling exergames, wind-based haptic feedback, and eco-friendly gamification. He has contributed to frameworks for integrating smart devices into VR environments and enhancing tactile experiences through 3D-printed metamaterials. His work often bridges physical and digital realms, emphasizing sustainability and user-centered design. Key projects include TactStyle (generative AI for tactile textures), Spatial Haptics (sensory substitution methods), and Collaborative Haptic Experience Design (on-body vibrotactile patterns). Donald actively collaborates on interdisciplinary projects, leveraging his expertise in both technical and applied aspects of human-computer interaction. His research has been published in top-tier venues, with recent contributions exploring adaptive feedback systems, pseudo-force rendering in VR, and gamified eco-behavioral interventions. Donald is also involved in prototyping tools like AmbiPlant and Vrysmart, which aim to enhance real-world interactions through ambient and smart technology integration.