جستجوی استاد راهنمای دانشگاهی

Stefan Lengauer is a Senior Researcher at the Institute of Visual Computing (IVC), Graz University of Technology. His work bridges cultural heritage analysis and health informatics through advanced visualization techniques. PhD in Computer Science (2022), Graz University of Technology MSc in Space Sciences (2018), TU Graz BSc in Computer Science (2014-2022) and Aviation (2015), FH JOANNEUM Research focuses on visual analytics , 3D object retrieval , and cross-modal search , with applications in: Medical domains (diabetes care, health information systems) Cultural heritage (pottery analysis, fragment matching, digital restoration) Pattern recognition (geometric motifs, surface textures) Recent publications highlight trends in adaptive visualization (2024-2025) and 3D cultural heritage analysis (2021-2023). Key projects include: HEREDITARY (2024-present): HORIZON Europe project on gut-brain interaction A+CHIS (2020-present): FWF research group on adaptive health information systems CrossSAVE-CH (2019-2022): Cross-modal search in cultural heritage Scientific recognition includes: Best Challenge Entry (2024) Honorable Mention (2020) PhD distinction (2022) Mentored 12+ students in topics ranging from medical chatbots to 3D pottery analysis . Reviewing activities span journals like Springer Nature and conferences including WSCG.

• Visual Analytics
• 3D Object Retrieval
• Image Processing
• +۴ مورد دیگر

Gabriele Rothemann is the head of the Photography Class at the University of Applied Arts Vienna (Angewandte Wien). The class, established in 2001, focuses on exploring photographic and non-photographic processes in both analog and digital mediums. Rothemann collaborates with visiting professors like Christoph Weber and organizes exhibitions showcasing student and graduate works. Her exhibitions include 'Misfit Objects' at ORF Funkhaus and '24½' at ATELIER AUGARTEN in Vienna. These events highlight contemporary artistic practices and feature installations, photographs, and multimedia works by over 50 students and alumni. Key exhibitions ran from January 2025 to June 2025, with guided tours and book presentations. Rothemann's educational contributions emphasize experimental techniques and artistic innovation, maintaining the Photography Class's legacy of artistic sovereignty and contemporary relevance. Her work bridges academic instruction with professional exhibition curation, fostering a dynamic creative environment.

• Photography
• Contemporary Art Practices
• Art Education
• +۳ مورد دیگر

Oskar Mencer is a Professor in the Department of Computing at Imperial College London , where he has been a member of academic staff since 2000. He was also a Consulting Professor at Center for Computational Earth and Environmental Science , Stanford University (2009-2010). His research focuses on Multiscale Dataflow Computing , exploring the interaction of hardware and software systems through domain-specific representations, parallel programming, VLSI design, and compiler methodologies. He has contributed to fields including high-performance computing, FPGA optimization, and computational finance. Dr. Mencer's work has been recognized with a Special Award from Com.sult (2012), Imperial College Research Excellence Award (2007), and a Top EPSRC Advanced Fellowship (2001). He has received multiple best paper awards, including at ICFPT'08 and ASAP 2008, and his 2000 paper on stream architectures was recognized as historically significant in 2015. His publications demonstrate a strong emphasis on FPGA acceleration , custom architectures , and parallel processing across geophysics, finance, and neuroscience applications. Special Award for Dataflow Innovation (2012) Best Paper Award - ICFPT'08 Best Paper Award - ASAP 2008 He has served on technical committees for conferences such as FPL , DATE , and FPT , and leads the Computer Architecture Research Group (currently inactive).

• Numerical methods and simulations
• Imaging
• Discretization of space, time and value
• +۷ مورد دیگر

Dieter Schmalstieg is the Alexander von Humboldt Professor of Visual Computing at the University of Stuttgart and an adjunct professor at Graz University of Technology. He leads research in augmented reality (AR), virtual reality (VR), and visualization, with contributions to tracking, rendering, and medical applications. His work spans academia and industry, with over 400 publications and numerous awards, including the IEEE ISMAR Career Impact Award and Fellow of the IEEE. Education: PhD (1997), Habilitation (2001) from Vienna University of Technology. Research: Focuses on AR/VR systems, medical visualization, and real-time graphics. Key projects include the Christian Doppler Laboratory for Handheld AR and collaborations with Qualcomm and VRVis. Awards: START Prize (2002), IEEE Technical Achievement Award (2012), Humboldt Professorship (2023). His teaching includes courses on computer graphics, VR, and real-time rendering. He has advised over 30 PhD students, many of whom hold academic or industry leadership roles. Current research explores situated analytics, mixed reality telepresence (MRUnion), and AR applications in mining and medicine (MiReBooks).

• Augmented Reality
• Virtual Reality
• Computer Graphics
• +۶ مورد دیگر

Hans-Peter Seidel is a leading academic in computer graphics, serving as Director of the Max Planck Institute for Informatics and Full Professor at Saarland University since 1999. Previously held roles include Full Professor at University of Erlangen (1992–1999) and Assistant Professor at University of Waterloo (1989–1992). Holds a PhD in Mathematics (1987) and Habilitation in Informatics (1989) from University of Tübingen. Research focuses on 3D image analysis, digital geometry processing, visual computing, and free viewpoint rendering. Key achievements include pioneering work in surface editing, motion capture, and multi-view video processing. Has organized major conferences like Eurographics and SIGGRAPH, serving as editor for journals including IEEE TVCG and Computer Aided Geometric Design. Recipient of the Eurographics Distinguished Career Award (2012), Gottfried Wilhelm Leibniz Prize (2003), and numerous fellowships. Led initiatives such as the Cluster of Excellence on Multimodal Computing and Interaction (M2CI) and the Max Planck Center for Visual Computing and Communication (MPC-VCC). Active in academic leadership roles including Eurographics Chair and DFG committees. Publications span over 30 SIGGRAPH and 50 Eurographics contributions, with an h-index of 62 and 14,000+ citations. Recognized as a top-cited researcher in computer graphics. Current research explores advanced visualization techniques and geometric modeling innovations.

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

Silvia Miksch is a Full University Professor of Visual Analytics at TU Wien's Faculty of Informatics, leading the CVAST Center. She holds a PhD from the University of Vienna and has held roles including Head of the Department of Information and Knowledge Engineering at Danube University Krems. Her research focuses on Visual Analytics, Information Visualization, Temporal Data Analysis, and Medical Informatics. She has supervised numerous PhD and Master’s students, with notable advisees including Ignacio Baltazar Pérez Messina and Davide Ceneda. Her work bridges theory and practice, addressing challenges in Visual Analytics for healthcare, business intelligence, and digital humanities. Awards include the IEEE VGTC Technical Achievement Award (2023) and induction into the IEEE Visualization Academy (2020). She actively contributes to conferences like IEEE VIS and EuroVis as program chair and steering committee member. Her projects, such as 'VisuExplore' and 'DisCo', have received recognition for advancing visualization in medical and cultural domains. Key research areas include guidance-enriched systems, network visualization, and temporal reasoning. She explores applications in fraud detection, cultural heritage analysis, and pandemic data visualization. Her lab's tools, like 'Hermes' and 'COVIs', exemplify task-driven design for real-world data challenges.

• Visual Analytics
• Information Visualization
• Interaction Design
• +۶ مورد دیگر

Michael Kerber is a Professor at Graz University of Technology, Institute of Geometry, specializing in computational topology and geometry. His research bridges mathematical theory with applications in data analysis, focusing on persistent homology and geometric algorithms. PhD from Max Planck Institute for Informatics (2009) Postdoc positions: Max Planck Institute, Stanford University, IST Austria His work centers on designing efficient algorithms for topological data analysis, particularly: Persistent Homology 2-Parameter Persistence Geometric Filtrations Algebraic Curve Analysis High-Dimensional Sphere Packing Recent publications emphasize: Improved Delaunay bifiltration methods NP-hardness of interleaving distance computation Sparse Čech filtrations for big data Integration with graph neural networks He has co-developed key software tools: PHAT DIPHA HERA SOPHIA

• Computational Topology
• Algebraic Topology
• Computational Geometry
• +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.

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

Herr Werner Lienhart is a Professor and Head of the Institute of Engineering Geodesy and Measurement Systems (IGMS) at Graz University of Technology . He has held this position since 2011, focusing on structural health monitoring, geodetic sensors, and fiber optic sensing technologies. Educational Background PhD (Dr. techn.) in Geodesy, Graz University of Technology (2001–2006) Diploma in Surveying (Dipl.-Ing.), Graz University of Technology (1994–2001) BEng in Engineering Surveying, Nottingham Trent University (1997–1998) Research Interests include structural health monitoring, sensor selection and placement, fiber optic sensor integration, and calibration of geodetic measurement systems. His work emphasizes applications in civil engineering, such as dam monitoring, landslide detection with GPS, and distributed fiber optic sensing in tunneling. Academic Leadership spans roles like President of the Austrian Geodetic Commission (ÖGK), Vice Dean of the Faculty of Mathematics, Physics, and Geodesy (TUG), and President of the Society for Civil Structural Health Monitoring (SCSHM). He is actively involved in international standardization (ISO TC172/SC6) and editorial work for the Journal of Applied Geodesy . Scientific Awards Best Paper Award at SHMII (2021) Best Paper Award at ICSIC (2019, 2016) Staatspreis Patent (2018) Houska Award Finalist (2015) Josef-Krainer-Förderungspreis (2008) BMW Scientific Award (2007) Austrian Construction Award (2006) Laboratory Work at IGMS includes calibration of fiber optic strain sensors, impact analysis of prism types on measurements, pose determination for VR devices, and system calibration of digital levels.

• Structural Health Monitoring
• Geodetic Measurement Systems
• Fiber Optic Sensors
• +۳ مورد دیگر

Zahra Dabiri is a Postdoctoral Researcher at the Department of Geoinformatics (Z_GIS), part of the Faculty of Digital and Analytical Sciences at the University of Salzburg , Austria. With a PhD in geospatial technologies, she specializes in Earth Observation (EO) applications for natural hazard analysis. Current research focuses on glacier retreat impacts on alpine infrastructure, rock glacier dynamics using InSAR, and landslide-dammed lake monitoring through satellite time series. Her expertise spans SAR polarimetry , hyperspectral imaging , and machine learning for geospatial analysis. Recent publications highlight her contributions to: Flood susceptibility mapping using AHP and EO data Automated rock glacier delineation with deep learning Landslide volume estimation via multi-temporal DEMs Heatwave impact analysis on water temperatures Scientific recognition includes the 1st runner-up of Copernicus Price Austria (2020) . She actively contributes to the Copernicus Master in Digital Earth program and collaborates with institutions across Europe, Iceland, and New Zealand.

• Remote Sensing
• Digital Image Processing
• Spatio-temporal Data Analysis
• +۷ مورد دیگر

Vanessa Streifeneder is a Researcher at the University of Salzburg , affiliated with the Faculty of Digital and Analytical Sciences and the Department of Geoinformatics - Z_GIS . Her work combines remote sensing and machine learning to address natural hazards and climate change challenges. Research Interests : Remote Sensing, Machine Learning, Natural Hazards, Climate Change Projects : SpaDiFloVur, ReHIKE, ROGER, HOT Streifeneder's recent publications focus on glacier dynamics , rock glacier mapping , and climate impact monitoring , utilizing Earth observation and deep learning . Her work also includes agricultural sustainability and alpine infrastructure analysis . Contact: vanessa.streifeneder1@plus.ac.at

• Remote sensing
• Digital image processing
• Machine learning
• +۴ مورد دیگر

Martin Riegler is a researcher at the Institute of Physics and Materials Science , part of the University of Natural Resources and Life Sciences, Vienna (BOKU). His work focuses on advanced material analysis and sustainable construction within the wood technology sector. Specializes in electrical resistivity measurements of wood Applies machine learning to wood machining acoustics Studies adhesive bondlines modified with carbon fillers Investigates moisture dynamics in wood Recent publications highlight his contributions to smart wood composites , non-invasive testing , and machine learning applications in wood processing. He has presented research at international conferences and collaborated with institutions like the Northern European Network for Wood Science and Engineering. Riegler's work intersects with Materials Science , Wood Technology , and Sustainable Engineering , particularly in optimizing particleboard production and wood moisture prediction . His research spans technical innovation and environmental stewardship in forestry applications.

• Wood Technology
• Renewable Resources
• Materials Science
• +۵ مورد دیگر

Professor Vasileios Chatziioannou serves as Faculty Member and PhD Supervisor within the Department of Music Acoustics at the University of Music and Performing Arts Vienna. His academic leadership spans the Faculty of Music, where he guides doctoral candidates through the Structured Doctoral Program Performing Matters. His institutional role encompasses supervision across Ethnomusicology, Music in Society, and Musicology programs. His research focuses on the physics of musical instruments, with particular expertise in wind instrument aerodynamics and string-bow interaction mechanics. He employs advanced experimental techniques including particle image velocimetry (PIV) and high-speed motion capture alongside computational modeling. His work bridges theoretical acoustics with practical instrument design considerations, examining phenomena from tone hole geometry effects to friction dynamics in bowed strings. Analysis of his recent publications reveals a strong emphasis on energy-stable numerical methods for real-time simulation of musical instrument physics. His work consistently addresses the challenge of balancing computational efficiency with physical accuracy, particularly in modeling nonlinear phenomena like stick-slip friction and collision dynamics. The research trajectory shows increasing integration of experimental validation with computational models. While no specific scientific awards are documented in the provided materials, his sustained publication record in high-impact acoustics journals demonstrates significant scholarly contribution. His work regularly appears in specialized forums like the Journal of the Acoustical Society of America, particularly within special issues on musical instrument modeling. Professor Chatziioannou's supervision activities focus on computational and experimental approaches to musical instrument physics. His research program involves interdisciplinary collaboration between acousticians, instrument makers, and performers. Current projects include robotic replication of bowing techniques and 3D-printed instrument component optimization, reflecting his commitment to translating theoretical findings into practical applications for musicians and instrument designers.

• Musical Acoustics
• Physical Modeling of Musical Instruments
• Wind Instrument Aerodynamics
• +۴ مورد دیگر

Prof. Wu, Wei is a Professor and Director at Institute of Geotechnical Engineering , Department of Structural Engineering and Natural Hazards, BOKU University, Vienna, Austria. With over two decades of academic and industry experience, his work bridges geotechnical research and engineering practice. Education: Dr.-Ing. in Geotechnical Engineering (Karlsruhe University, Germany, 1986–1993), MSc in Geotechnical Engineering (Xian University of Technology, China, 1982–1985), Bachelor in Civil Engineering (Wuhan University, China, 1978–1982). Research Interests span geomechanics, granular materials, and computational geotechnical engineering. His expertise includes: Constitutive modeling of soils and granular media Numerical simulation of landslides and debris flows Soil bioengineering and root reinforcement Geo-energy systems and energy storage Advanced computational methods (SPH, DEM, FE) Selected Google Scholar Articles (2025–2024) highlight innovations in hypoplastic models for climate-affected soils, machine learning applications for slope stability, and multiscale simulations of geohazards. His work emphasizes both theoretical advancements (e.g., phase-field fracture models) and practical solutions (e.g., centrifuge testing for tunnel design). Scientific Awards include: Advanced Grant, European Research Council (2024) Gold Medal, Technical University of Brno (2024) Teaching & Supervision covers soil mechanics, tunneling, and advanced geotechnical courses. He has supervised over 30 PhD and 100 MSc theses, mentoring future engineers in numerical methods and geohazard mitigation. Leadership Roles : Editor-in-Chief of Acta Geotechnica , founder of Springer Series in Geomechanics, and Chairman of the Otto Pregl Foundation (€3M endowment). He organized key conferences like the China-Europe Conference on Geotechnical Engineering (2018) and International Symposium on Particle-Based Continuum Methods (2019).

• Geomechanics
• Granular Materials
• Foundation Engineering
• +۶ مورد دیگر

Dr. Markus Tatzgern serves as Professor for Mixed Reality and Game Development and Head of Research at the Department for Creative Technologies, Salzburg University of Applied Sciences. He leads the Digital Realities Lab, a multi-disciplinary research group focused on human-centered solutions at the intersection of software, design, and creative engineering for technology interaction. His academic foundation includes a Master of Science and Doctorate with highest distinction from Graz University of Technology. He furthered his expertise through post-doctoral research at the Christian Doppler Laboratory for Handheld Augmented Reality, recognized as a world-leading facility in mobile AR. Tatzgern's research spans Augmented Reality, Virtual Reality, Mixed Reality, and Human-Computer Interaction with emphasis on practical applications. His work addresses critical challenges in view management, haptic feedback systems, industrial procedure visualization, medical imaging interfaces, and game development. Key contributions include novel techniques for eye-perspective rendering, breathing-based VR interaction, and latency compensation in medical robotics. His publication trajectory reveals evolving focus from foundational AR visualization (2010-2016) toward applied XR solutions in healthcare, industrial training, and user experience optimization (2017-2024). Recent work demonstrates increasing integration of physiological inputs, real-world safety applications, and enterprise-grade XR prototyping. Scientific recognition includes: Honorable Mention for Best Paper at CHI 2022 for 'AirRes Mask' breathing interface Honorable Mention for Best Paper at IEEE 3DUI 2017 for adaptive rendering techniques As Head of Research, Tatzgern actively shapes the field through program committee roles and peer review for top venues including ACM CHI and IEEE VR. His four patents in AR visualization demonstrate translational impact from academic research to practical applications. The Digital Realities Lab operates as an innovation hub where software engineers, designers, and creative technologists collaborate on next-generation interaction paradigms. Current projects emphasize medical XR applications, industrial training systems, and accessibility-focused AR solutions for vulnerable populations.

• Augmented Reality
• Virtual Reality
• Mixed Reality
• +۳ مورد دیگر