جست‌وجوی استاد و پژوهشگر

Christoph Heinzlمشاهده پروفایل

عضو هیئت علمی

• Scientific Visualization
• Information Visualization
• Industrial 3-D X-ray Computed Tomography
• +۵ مورد دیگر

Christoph Heinzl is Privatdozent at Technische Universität Wien, Faculty of Informatics, Institute of Visual Computing & Human-Centered Technology, and an associated researcher at University of Applied Sciences Upper Austria, Wels. His work bridges scientific visualization and industrial X-ray computed tomography, with applications in non-destructive testing and metrology. Education & qualifications: Heinzl holds a Dipl.-Ing.(FH) degree and a doctorate (Dr.) from TU Wien; in 2021 he completed his professorial dissertation (Habilitation) on visualization and analysis of XCT data. Research interests revolve around interactive visual analysis of high-dimensional and multimodal industrial data, uncertainty visualization, metrological evaluation of CT data, and development of immersive analytics workspaces for materials characterization. Across 60+ peer-reviewed publications since 2006 he has advanced techniques for porosity quantification, defect tracking, metal-artefact reduction, and comparative visualization of 3-D volumes, often in close cooperation with the Austrian COMET centre “EXCELLENCE IN COMET” and the K-project “ADVANCED METROLOGY”. Awards & recognition: While no major personal prizes are listed, Heinzl has served as paper co-chair and editorial guest editor for leading visualization venues, indicating peer recognition. Teaching & supervision: He regularly offers bachelor thesis topics such as “ImNDT: Immersive Workspace for Analysis of Multidimensional NDT Data” and teaches courses on visualization and computer graphics; specific PhD students are not named in the supplied sources. Funding & labs: Research is embedded in the university’s Visual Computing research area and supported by national competence centres for metrology, providing access to state-of-the-art XCT facilities and VR/AR laboratories.

Martin Ilcikمشاهده پروفایل

پژوهشگر

• Procedural Modeling
• Shape Grammars
• Layout Generation
• +۶ مورد دیگر

Martin Ilcik is a Researcher at the Department of Computer Graphics within the Faculty of Informatics at Vienna University of Technology (TU Wien). His work focuses on procedural modeling, shape grammars, and related computer graphics techniques. He serves as a Scientist in the Rendering and Modeling workgroup and has been actively involved in research projects since 2008, including GameWorld, PAMINA, Wohnen 4.0, AgroEco, and currently Room Imageer and GreenFDT projects. Ilcik's research interests prominently feature procedural modeling techniques, with specializations in shape grammars, layout generation, semantic modeling, 3D reconstruction, and music generation. His work bridges computer science with practical applications in architecture, urban planning, and creative arts. He has made significant contributions to layer-based procedural design of building facades and collaborative modeling systems. His publication record spans from 2007 to 2024, with a strong focus on procedural modeling techniques. The research trajectory shows evolution from flow visualization to sophisticated procedural modeling systems, with increasing emphasis on shape grammars, collaborative design, and applications in architecture and music generation. His work demonstrates consistent innovation in making procedural modeling more intuitive and accessible. VC CultTech Hackathon winner category 'Vienna State Opera challenge' (2017) INiTS Award 2016 Ilcik has supervised student research, including Lukas Eibensteiner's 2021 Diploma Thesis on polyphonic music composition with grammars. He has been instrumental in organizing the Central European Seminar on Computer Graphics (CESCG) since 2008, which has grown into an important annual event for undergraduate students in computer graphics, vision, and visual computing across Central Europe. His community work includes creating educational resources and organizing EXPO events and Academy Videos through CESCG. He leads research in the Rendering and Modeling workgroup at TU Wien's Computer Graphics department, focusing on developing innovative procedural modeling techniques with applications in architecture, urban planning, and creative domains. His current projects (Room Imageer and GreenFDT) continue his longstanding interest in practical applications of procedural modeling techniques.

Peter Kánمشاهده پروفایل

پژوهشگر

• Photorealistic rendering
• Augmented reality
• Virtual reality
• +۵ مورد دیگر

Peter Kán serves as a Senior Scientist at TU Wien's Faculty of Informatics, Institute of Visual Computing and Human-Centered Technology. He manages the Mixed Reality Laboratory and teaches multiple courses including Mixed Reality Lab (193.169), PhD Seminar (193.083), and various Project courses in Computer Science and Visual Computing. PhD in Computer Science from TU Wien Research on High-Quality Real-Time Global Illumination in Augmented Reality His research spans photorealistic rendering, augmented and virtual reality systems, automatic 3D content generation, and embodied conversational agents. Current projects include RE:STOCK INDUSTRY (2024–2027), Circular Twin (2022–2025), and VR Tennis Trainer (2020–2022), funded by FFG and WWTF. His work integrates deep learning with real-time rendering for applications in industrial design, sports training, and accessibility solutions for deaf and hard-of-hearing users. Recent publications demonstrate strong focus on procedural building design, motion analysis, and accessibility interfaces. Key trends include embodied conversational agents with situation awareness, multi-objective optimization for industrial buildings, and haptic feedback systems. His research bridges computer graphics, human-computer interaction, and practical applications in architecture and healthcare. Peter Kán has received research funding from Austrian Research Promotion Agency (FFG) and Vienna Science and Technology Fund (WWTF) for projects including Conversational Agents (2023–2024) and Realistic Indoor Path Visualization (2016–2018). Supervised 10 theses including Tennis Motion Learning in VR (Sebernegg, 2025) and Embodied Conversational Agents (Rumpelnik, 2023) Manages Mixed Reality Laboratory focusing on photorealistic AR/VR systems Leads research teams on projects like Circular Twin and RE:STOCK INDUSTRY

Tobias Schreckمشاهده پروفایل

استاد

• Visual Data Analysis
• 3D Object Retrieval
• Visual Analytics
• +۵ مورد دیگر

Tobias Schreck is a Professor at the Institute of Visual Computing (formerly Computer Graphics and Knowledge Visualization) at Graz University of Technology, affiliated with the Faculty for Computer Science and Biomedical Engineering. His research focuses on Visual Data Analysis, 3D Object Retrieval, and Immersive Analytics, with applications in engineering and industrial contexts. He holds a Dr.rer.nat. from the University of Konstanz and has held academic positions including Assistant Professor at the University of Konstanz and Head of the Visual Search and Analysis Group at TU Darmstadt. Education: Dr.rer.nat., University of Konstanz (2006) M.Sc. in Information Engineering, University of Konstanz (2002) Dipl.-Volkswirt (M.Sc. Economics), University of Konstanz (1999) His research interests include visual analytics for high-dimensional and spatial-temporal data, digital libraries, and collaborative analysis tools. He leads funded projects like HEREDITARY (EU Horizon Europe) and VR4CPPS (FFG), and has served as a program chair for IEEE VAST and EuroVis. His work emphasizes user interaction, eye-tracking integration, and immersive visualization techniques. He supervises a research team including postdocs, PhD students, and student assistants, and collaborates on projects like CrossSAVE-CH and the Joint PhD Programme with Nanyang Technological University. His contributions span publications in IEEE Transactions, EuroVis, and ACM conferences, addressing challenges in data exploration, anomaly detection, and visualization design.

John Tuckerمشاهده پروفایل

استاد

• Theory of synchronous algorithms with digital and analogue components
• Physical foundations of computation
• Computability theories
• +۵ مورد دیگر

John Tucker is a Professor of Computer Science at Swansea University's Department of Computer Science within the School of Physical Sciences. He has held leadership roles including Head of Department (1994-2007) and Head of School (2007-2011). His academic career spans institutions like University of Leeds and University of Bristol, with a PhD in Mathematical Logic (1977) and MSc in Mathematical Logic and Foundations of Mathematics and Computer Science (1974). Education : PhD (1977) and MSc (1974) from University of Bristol. His research focuses on the theory of synchronous algorithms , algebraic specification , physical foundations of computation , and computational physics , with historical interests in computing, mathematics, and science. He pioneered equational specification methods applied to micro-processors (ARM6 verification), 3D graphics, and non-linear systems modeling whole-heart dynamics. Scientific Awards : Founding Fellow of the Learned Society of Wales (2010) Elected Member of BCS-IET joint UK Computing Research Committee (2007-present) Trustee of the Institute of Welsh Affairs (2006) Fellow of British Computer Society (1998) As an academic leader, Tucker founded three journals and two book series (Cambridge Tracts in Theoretical Computer Science, Springer's History of Computing). He supervised 16 PhD students, advised on EU projects (FP3, FP4), and organized public science programs in Wales. His editorial roles include founding editor of Cambridge Tracts in TCS, Managing Editor of the Journal of Logic and Algebraic Programming, and service on boards of top-tier journals.

Luo Jieboمشاهده پروفایل

استاد

• Computer Vision
• Natural Language Processing
• Machine Learning
• +۴ مورد دیگر

Jiebo Luo is a Professor of Computer Science at the University of Rochester, where he has held this position since 2014. He earned his BS and MS in Electrical Engineering from the University of Science and Technology of China (1989 and 1992) and a PhD in Electrical Engineering from the University of Rochester (1995). Prior to academia, he spent 15+ years at Kodak Research Laboratories as a Senior Principal Scientist. His research focuses on computational social science, natural language processing, digital health, computer vision, data mining, and multimedia. Dr. Luo’s work has been recognized through numerous awards, including the ACM SIGMM Technical Achievement Award (2021), Fellowships from ACM, AAAI, IEEE, IAPR, and SPIE. He has authored over 500 peer-reviewed papers, holds 90+ patents, and serves as Editor-in-Chief of the IEEE Transactions on Multimedia. He actively contributes to conference organization (e.g., ACM Multimedia, CVPR) and editorial roles for top journals. Key contributions include pioneering work in social media analytics, sentiment analysis, and digital health, as well as foundational research in multi-label classification and action recognition datasets like UCF 101. His labs and collaborations span the Goergen Institute for Data Science and the Greater Rochester Data Science Industry Consortium.

• Building Information Modeling
• Tunneling
• Digitalization
• +۴ مورد دیگر

Galina Paskaleva is a Researcher at the Institute of Information Systems Engineering within the Faculty of Informatics at Vienna University of Technology (TU Wien). She works as a Project Assistant (Projektassistentin) with engineering qualifications (Dipl.-Ing.in BSc) and is actively involved in the Business Informatics Group. Her office is located at HD0205 (Favoritenstrasse 9, 1040 Wien) and she can be contacted at galina.paskaleva@tuwien.ac.at. Her research focuses on the intersection of construction engineering and digital technologies, particularly in tunneling projects. She specializes in Building Information Modeling (BIM), Industry Foundation Classes (IFC), and digital transformation in the Architecture, Engineering & Construction (AEC) sector. Her work addresses practical challenges in conventional tunneling projects, aiming to improve documentation processes through digital solutions. Recent publications demonstrate her expertise in applying software engineering principles to tunnel construction challenges, with a focus on data modeling, automated translation of domain knowledge, and integration of architectural details into 3D models. Her research has practical applications for improving data exchange between project stakeholders in tunnel construction. Galina collaborates extensively with researchers across multiple institutions, particularly with colleagues at TU Wien including Marco Huymajer, Robert Wenighofer, Christian Huemer, and Alexandra Mazak-Huemer. Her work bridges the gap between theoretical modeling approaches and practical construction industry needs.

• Computer Graphics
• Virtual Reality
• Visualization
• +۴ مورد دیگر

Karl Bittner MSc. is a researcher at the Institute of Landscape Development, Recreation and Conservation Planning within the Department of Landscape, Water and Infrastructure at the University of Natural Resources and Life Sciences, Vienna (BOKU). His work focuses on the intersection of computer science, landscape visualization, and renewable energy planning, with particular expertise in virtual reality, GIS, and serious game applications for participatory planning processes. Bittner's research interests center around computer graphics, virtual reality visualization, geoinformatics, and their application to landscape planning challenges. His work demonstrates a strong focus on developing innovative visualization tools to address complex environmental planning issues, particularly related to renewable energy integration in landscapes. His research bridges technical computing approaches with practical landscape planning applications, creating tools that help stakeholders visualize and understand potential landscape changes. His recent publications reveal a consistent research trajectory focused on applying advanced visualization techniques to renewable energy planning challenges, with particular emphasis on wind farms, agrivoltaics, and climate adaptation strategies. Bittner's work shows a strong trend toward developing interactive, user-centered visualization tools that facilitate public engagement in planning processes. Bittner has presented his research at numerous conferences including the Digital Landscape Architecture Conference, AgriVoltaics Conference, and various planning forums across Europe. His presentations often focus on practical applications of visualization technologies in real-world planning contexts, demonstrating the tangible impact of his research. His educational background includes a Master's degree in Game Engineering and Simulation (2020-2022) and a Bachelor's degree in Computer Science (2017-2020), both from UAS Technikum Vienna, providing him with a strong technical foundation for his current research in landscape visualization technologies.

Markus Steinbergerمشاهده پروفایل

دانشیار

• GPU Computing
• Computer Graphics
• Parallel Processing
• +۳ مورد دیگر

Markus Steinberger is an Associate Professor at Graz University of Technology (Austria), leading the GPU Computing and Visualization Group at the Institute for Computer Graphics and Vision. He holds an MSc and PhD in Computer Science from TU Graz, with a postdoc and multiple leadership roles in academic and industry labs, including NVIDIA and the Max Planck Institute. His research focuses on GPU scheduling, parallel computing, and high-performance visualization techniques. He has led teams at TU Graz, Huawei Technologies (Cloud Rendering Lab), and the Max-Planck-Center for Visual Computing. Education 11/2020: Habilitation in Practical Computer Science at TU Graz 10/2013: PhD in Computer Science (Dynamic Resource Scheduling on Graphics Processors) 10/2010: MSc in Telematics 10/2005: BSc in Telematics Research Interests Steinberger’s work centers on optimizing GPU computing for real-time rendering and parallel processing. He explores efficient resource scheduling, dynamic graph management, and high-performance visualization techniques, with applications in cloud rendering, scientific visualization, and interactive graphics. His methods emphasize scalability and real-world applicability in both academic and industrial settings. Awards Heinz Zemanek Prize (2016) – First Austrian recipient GI Dissertation Prize (2014) – Best dissertation in German-speaking computer science Multiple Eurographics Best Paper Awards (2021, 2020, 2014) HPEC Best Student Paper (2017) ACM CHI Honorable Mention (2014) Advising & Grants Steinberger has advised numerous students and led projects funded by EU initiatives and industry partnerships. His research has been recognized through grants supporting GPU scheduling, cloud rendering, and parallel computing. Labs & Teams Leads the GPU Computing and Visualization Group at TU Graz and directed the Cloud Rendering Lab at Huawei, focusing on scalable rendering solutions for distributed systems.

Manas Bhargavaمشاهده پروفایل

پژوهشگر

• Soft robotics
• Deformable structures
• Computational design
• +۵ مورد دیگر

Manas Bhargava is a Postdoctoral Researcher at the Institute of Science and Technology Austria, working in the Material Molli Lab under Prof. Jérémie Palacci. Previously, he completed his PhD with Prof. Bernd Bickel, focusing on the design and control of deformable structures. His research spans several cutting-edge domains in computational design and robotics. Bhargava's work integrates principles from computer graphics, mechanical engineering, and materials science to create innovative deformable structures. His projects range from building 3D lighting displays using folded PCBs to developing musculoskeletal soft robots with laser-controlled artificial muscles. He has presented his research at prestigious venues including SIGGRAPH, Eurographics, and the Think and Drink Conference at ISTA. Bhargava has published in top-tier venues including ACM Transactions on Graphics (SIGGRAPH) and Computer Graphics Forum. His work demonstrates a strong trend toward practical computational fabrication methods that bridge digital design with physical implementation, particularly in soft robotics and interactive displays. The research shows increasing sophistication in control mechanisms and material integration across his publications. As an academic mentor, Bhargava has supervised multiple students including Chris Wernke (bachelor thesis on Dynamic Simulation and Fabrication of Origami Robots) and Yuhan Zhang (master thesis on Compatible Triangulations for Fabricating Deformable Structures). His collaborative approach is evident in co-supervision arrangements and multi-institutional projects spanning ETH Zurich and ISTA.

Haisen Zhaoمشاهده پروفایل

استاد

• Computer Graphics
• Digital Fabrication
• Additive Manufacturing
• +۵ مورد دیگر

Haisen Zhao is a Professor at Shandong University (SDU), affiliated with the School of Computer Science and Technology and the Interdisciplinary Research Center. His research focuses on geometric processing and digital fabrication, including additive and subtractive manufacturing. He completed his PhD at SDU in 2018 under Baoquan Chen, followed by postdoctoral research at the University of Washington (with Adriana Schulz) and IST Austria (with Bernd Bickel). He has authored over 20 top-tier publications in venues like ACM SIGGRAPH/Asia and IEEE TVCG, and holds multiple patents. Education: PhD in Computer Science (2018, SDU), Master’s (2014, SDU), and Bachelor’s (2011, SDU). Key awards include the CCF Doctoral Dissertation Award (2019) and Shandong Natural Science Award (2020). He leads a research group focused on advanced manufacturing techniques, advising PhD and Master’s students in areas like robotics, computer-aided design, and fabrication optimization. Teaching responsibilities include courses on computer graphics, human-computer interaction, and advanced topics for both undergraduates and graduates. His lab actively explores hybrid manufacturing strategies, inverse design methods, and robotic fabrication systems. Recent projects include neural accessibility learning for CNC machining and generative design for microstructure fabrication.

Ruslan Guseinovمشاهده پروفایل

پژوهشگر ارشد

• Computational Design
• Computer Graphics
• Digital Fabrication
• +۳ مورد دیگر

Ruslan Guseinov is a computational design researcher specializing in digital fabrication of curved structures and programmable matter, affiliated with IST Austria where he completed his PhD in 2020 under Bernd Bickel's supervision. His educational background includes: PhD in Computer Science, IST Austria, 2020 Guseinov's research bridges computer graphics, geometry processing, and materials engineering to develop algorithms for manufacturing complex shapes from flat materials. His work enables cost-effective glass façade design and self-actuating structures through computational geometry innovations, with applications in architecture and soft robotics. Key contributions include tension-actuated curvature methods and temporal morphing programming for programmable matter. His publication portfolio demonstrates consistent focus on computational fabrication techniques, evolving from foundational CurveUps research (2017) to advanced applications in glass engineering and programmable matter (2020), reflecting interdisciplinary collaboration across computer science, robotics, and architectural design. He has received significant recognition: Eurographics Best PhD Thesis 2021 TWIST Fellowship 2020 SIGGRAPH PhD Thesis Fast Forward 2020 No formal advising relationships or research grants are documented in available sources. His media coverage spans major outlets including ScienceDaily, phys.org, and Le Monde, highlighting real-world impact in industrial manufacturing. Guseinov operated within Bernd Bickel's research group at IST Austria, focusing on computational design and fabrication methodologies that transform theoretical concepts into practical manufacturing solutions.

Daniel Cornelمشاهده پروفایل

پژوهشگر

• Flood Modeling
• Hydrology
• Computational Fluid Dynamics
• +۳ مورد دیگر

Daniel Cornel is a researcher affiliated with TU Wien's Department of Engineering Hydrology, part of the E222-02 research group. He holds a Dipl.-Ing. (engineering diploma) and a Dr.techn. (technical doctorate). His work focuses on integrating computational methods with environmental hydrology, emphasizing flood modeling, high-performance computing, and geospatial visualization. Cornel collaborates extensively with experts like Prof. Günter Blöschl and Prof. Jürgen Waser on projects such as the HORA 3.0 flood risk zoning initiative. His research interests span GPU-accelerated flood simulations, hydrodynamic modeling at regional scales, and decision-support systems for disaster management. Notable contributions include developing interactive visualization tools for real-time flood data and VR-based training modules for emergency response. Cornel also explores algorithm optimization for terrain modeling and subsurface network visualization. Key projects include the 'Integrated Simulation and Visualization for Flood Management' framework and the 'Master of Disaster' VR training system. His work bridges computational science with environmental engineering, addressing both technical challenges and practical applications in flood risk mitigation.

Friedrich Fraundorferمشاهده پروفایل

استاد

• 3D Computer Vision
• Robot Vision
• Multi View Geometry
• +۴ مورد دیگر

Friedrich Fraundorfer is a Professor at Graz University of Technology, specializing in 3D Computer Vision and Autonomous Systems at the Institute of Computer Graphics and Vision (ICG). He has held academic positions at institutions including ETH Zurich, University of North Carolina at Chapel Hill, and Technische Universität München, where he served as Deputy Director of the Chair of Remote Sensing Technology. Research : Focuses on Micro Aerial Vehicle (MAV) autonomy, Visual-Inertial Fusion, and Multi-View Geometry. Projects : Led EU-funded SFly (autonomous MAVs for search-and-rescue), SNF MAV (camera-only 3D mapping), and VCharge (vision-based self-driving cars). Teaching : Offers courses like 'Camera Drones' and 'Mathematical Principles in Vision.' His Pixhawk project created open-source MAV platforms adopted globally. Key Collaborations : With NVIDIA, Volkswagen AG, University of Zurich, and German Space and Aerospace Center (DLR). His students (e.g., Dominik Hirner, Rafael Weilharter) have published on lightweight CNNs for stereo vision and self-supervised 3D reconstruction.

Linus Frankeمشاهده پروفایل

پژوهشگر

• Computer Graphics
• Perceptual Rendering
• Computer Vision
• +۳ مورد دیگر

Linus Franke is a postdoctoral researcher at Inria Sophia Antipolis in France, affiliated with the GraphDeco research group under George Drettakis. He previously completed his PhD at the Chair of Visual Computing , Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) in Germany under Marc Stamminger. His research focuses on Computer graphics Perceptual rendering Computer vision Machine learning Neural rendering Novel view synthesis Key trends in his recent publications include neural rendering , 3D Gaussian splatting , radiance fields , and real-time rendering with applications in virtual reality and light field displays. His work often integrates point clouds , differentiable rendering , and GPU optimization techniques. His personal website at lfranke.github.io highlights projects like VET (Visual Error Tomography) and TRIPS (Trilinear Point Splatting for Real-Time Rendering).