Geometry Processing Professors and Supervisors in Austria

Ruslan GuseinovView profile

Research Fellow

Institute of Science and Technology AustriaAustria

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.

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Lukas GahleitnerView profile

Researcher

University of Applied Sciences Upper AustriaAustria

Lukas Gahleitner is a Researcher at the Research Center Wels, Center of Excellence Automotive/Mobility, University of Applied Sciences Upper Austria, specializing in Materials Thermography and Non-Destructive Testing for high-performance composite components in automotive applications. His work directly supports UN Sustainable Development Goals related to industry and innovation. Education: BSc Dipl.-Ing. (Diplom-Ingenieur) His research focuses on advanced thermographic NDE methodologies including photothermal imaging, virtual wave concepts, and pulsed thermography for defect detection in carbon fiber composites. He pioneers techniques for 3D defect reconstruction in curved orthotropic structures and develops industrial solutions for quality control in fluid injection molding processes. His fingerprint analysis confirms deep expertise in subsurface defect characterization and virtual wave parameter estimation. Recent publications (2024-2025) reveal a strong trend toward solving industrial NDE challenges through algorithmic innovation, particularly in handling non-uniform thermography data and reconstructing defects in complex composite geometries. This work bridges fundamental thermal physics with practical applications in automotive manufacturing. Scientific recognition: Teufelberger Master-Thesis Award 2023 Innovation Award FH Wels 2023 (1st place in Engineering) Research leadership: Co-Investigator in EXCITE project (2025-2028): Thermo-tomographic sensor technologies for composite quality control Co-Investigator in JR-Centre for Thermal NDE of Composites (2018-2022) Active peer-reviewer for Nondestructive Testing and Evaluation journal He operates within the Research Center Wels infrastructure, collaborating with Gerald Mayr's team on the Center of Excellence Automotive/Mobility initiatives, with experimental facilities focused on thermographic NDE of composite materials.

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Matthias NeumannView profile

Assistant Professor

Graz University of TechnologyAustria

Matthias Neumann is an Assistant Professor at the Institute of Statistics, Graz University of Technology . He completed his PhD in 2020 at Ulm University under Prof. Volker Schmidt, earning the PhD prize of Ulm University . His research focuses on stochastic 3D modeling and statistical analysis of micro- and nanostructures for functional materials, including battery electrodes , fuel cells , and paper-based materials . He has received start-up funding from ProTrainU (2020-2022) and served as principal investigator in the POLiS Cluster of Excellence (2022-2023). Research Interests: His work integrates mathematical morphology , machine learning , and spatial statistics to develop methods for microstructure quantification , estimation of geometrical descriptors (e.g., tortuosity, constrictivity), and data-driven models linking morphology to effective physical properties . He utilizes random fields , point processes , and copulas for virtual microstructure generation and parameter estimation. Teaching: He lectures on Applied Statistics , Statistical Modeling , and Mathematical Statistics at Graz University of Technology, with prior teaching experience at Ulm University in Multivariate Stochastic Modeling , Point Processes , and Spatial Statistics . Scientific Achievements: PhD prize of Ulm University (2020) ProTrainU start-up funding (2020-2022) POLiS Cluster of Excellence grant (2022-2023) Publications: His 15 most recent articles (2023-2025) emphasize machine learning techniques for microstructure segmentation , stochastic 3D modeling of nanoporous materials , and data-driven quantification of transport-property relationships . Key topics include random forests , neural networks , and R-vine copulas applied to fuel cells , sodium-ion batteries , and polymer electrolytes .

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Bernhard SalcherView profile

Associate Professor

Paris Lodron University of SalzburgAustria

Assoz. Prof. Bernhard Salcher is an Associate Professor in the Department of Environment and Biodiversity at the University of Salzburg. His academic career includes postdoctoral research at ETH Zurich and the University of Vienna. His research focuses on glacial and fluvial depositional systems, Quaternary climate, and Alpine geology. He has published extensively on topics such as glacial erosion, landscape evolution, and sediment dynamics. Salcher's work integrates field studies, geochronology, and numerical modeling to address questions in Quaternary science and tectonics. He has led projects on subglacial landforms, overdeepenings, and the impact of glacial cycles on mountain topography. His recent studies include analyses of the Salzach Glacier's sediment dynamics and the role of the Bohemian Spur in Alpine exhumation patterns. Education: PhD in Geology (2008), University of Vienna Postdoc, ETH Zurich (2009–2012) His research interests span glacial geomorphology, sedimentology, and the interplay between climate, tectonics, and topography. He has also contributed to interdisciplinary studies on mental health interventions and ecological impacts of landscape homogenization. Salcher is actively involved in academic service, including editorial roles and field trip organization for the Quaternary Science community. His work bridges traditional geology with modern analytical techniques, such as cosmogenic nuclide dating and LiDAR-based terrain analysis.

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Gemma de les CovesView profile

Research Professor

University of InnsbruckAustria

Gemma de les Coves is an ICREA Research Professor at the Departament d'Enginyeria of Universitat Pompeu Fabra (Barcelona) and holds an Associate Professorship at the University of Innsbruck (Austria). Her research bridges quantum physics, mathematical theory, and philosophy, focusing on universality, undecidability, and interdisciplinary frameworks. She leads the Mathematical Quantum Physics research group in Innsbruck and has received prestigious awards including the START Prize (2020) and the ICREA professorship (2024). Education & Academic Path: PhD in Theoretical Physics (University of Innsbruck, 2011) Postdoc at Max Planck Institute for Quantum Optics (2011–2016) Assistant Professor (University of Innsbruck, 2018–2023) ICREA Research Professor (2024–present) Research Interests: Universality in physical and computational systems Undecidability in quantum models and formal languages Mathematical foundations of quantum theory Interdisciplinary connections between physics, philosophy, and culture Awards & Recognition: START Prize (FWF, 2020) Elise Richter Fellowship (2016–2018) Emmy Noether Visiting Fellowship (Perimeter Institute, 2016) Advisees & Grants: Supervised PhD students include Tobias Reinhart, Andreas Klingler, and Mirte van der Eyden Recipient of the START Prize grant (FWF) Labs & Outreach: Runs the Mathematical Quantum Physics group at Innsbruck Active in science communication via YouTube, podcasts, and public lectures

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Friedrich FraundorferView profile

Professor

Graz University of TechnologyAustria

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.

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Roland PerkoView profile

Lecturer

Graz University of TechnologyAustria

Roland Perko is a university lecturer, project manager, and key researcher at the Institute of Geodesy at Graz University of Technology. His work focuses on remote sensing, photogrammetry, and computer vision, with specific expertise in stereo matching, SAR and optical imagery analysis, and vision-based localization. R&D areas include multiple view geometry for SAR and optical imagery Specializations: subpixel techniques, digital aerial cameras, image registration

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Emanuele RodolàView profile

Professor

Graz University of TechnologyAustria

Emanuele Rodolà is a Full Professor of Computer Science at Sapienza University of Rome , leading the GLADIA group (Geometry, Learning and Applied AI) funded by an ERC Grant and a Google Research Award. Former Assistant (2017-2020) and Associate Professor at Sapienza Postdoc at USI Lugano (2016-2017), TU Munich (Alexander von Humboldt Fellow, 2013-2016), and University of Tokyo (JSPS Research Fellow, 2013) His research spans geometry processing , graph/geometric deep learning , computer vision , and language/sound processing , with over 100 publications. He has served on program/organizing committees of top conferences and founded successful workshops in machine learning and graphics. Ellis Fellow ERC Grant recipient Google Research Award Alexander von Humboldt Fellow JSPS Research Fellow

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Linus FrankeView profile

Researcher

Institute of Science and Technology AustriaAustria

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).

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Alexander BucheltView profile

Researcher

St. Pölten University of Applied SciencesAustria

Alexander Buchelt serves as a Researcher in the Department of Computer Science and Security at University of Applied Sciences St. Pölten, contributing to the Data Science and Artificial Intelligence (BA) program. His industry background includes data analytics roles at Hutchison Drei Austria (2014-2018) and MindTake Research GmbH (2019-2020), followed by academic experience as a Student Assistant at FH St. Pölten (2020-2022). His research spans artificial intelligence with emphasis on natural language processing for German content moderation, fractal-based neural network architectures, and AI policy frameworks. Current work demonstrates strong focus on real-world implementation including drone applications in forest ecology, multilingual social media analysis, and regulatory compliance for emerging AI systems. Technical approaches integrate machine learning with domain-specific challenges across environmental science, media analysis, and telecommunications. Publication trends since 2022 reveal increasing emphasis on ethical AI deployment and practical system robustness, with 2024-2025 works addressing content moderation safeguards, neural network innovation, and environmental monitoring solutions. His research consistently bridges theoretical AI development with tangible societal applications, particularly in European regulatory contexts and German-language environments. As part of the Department of Computer Science and Security, Buchelt contributes to Austria's applied research ecosystem focused on practical technology solutions. His work aligns with the university's mission in developing industry-relevant AI applications while addressing emerging challenges in security, ethics, and cross-domain implementation.

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Ariane CarranceView profile

Researcher

University of ViennaAustria

Ariane Carrance is a postdoctoral researcher at the Department of Mathematics, Faculty of Mathematics, University of Vienna, where she works with Professor Nathanaël Berestycki. Her research program bridges combinatorics, probability theory, and theoretical physics with applications to quantum gravity. PhD in Mathematics, Institut Camille Jordan, supervised by Grégory Miermont and Fabien Vignes-Tourneret Postdoctoral position at Laboratoire de Mathématiques d'Orsay with Nicolas Curien and Jean-François Le Gall Hadamard lecturer at Centre de Mathématiques Appliquées de l'École polytechnique Dr. Carrance specializes in the combinatorial and probabilistic aspects of discrete metric spaces. Her work in dimension 2 focuses on specific families of maps, while in higher dimensions she investigates "colored trisps" and associated tensor models. She has made significant contributions to the understanding of random discrete structures and their continuum limits, with implications for quantum gravity theories. Her research combines deep theoretical insights with computational approaches, including development of mathematical software. Dr. Carrance's publication record demonstrates a consistent progression from foundational work on planar maps and triangulations toward more complex higher-dimensional structures. Her recent work shows increasing sophistication in handling the interplay between combinatorial structures and probabilistic phenomena, with particular attention to asymptotic behaviors and scaling limits. The mathematical tools she employs span from classical combinatorics to advanced probability theory and computational mathematics. Dr. Carrance has collaborated with leading researchers in probability theory including Nicolas Curien, Jean-François Le Gall, and Nathanaël Berestycki. She co-developed the SageMath package dynpuiseux for Puiseux series expansions, demonstrating her commitment to computational approaches in pure mathematics. Her research is supported through postdoctoral fellowships and academic positions at prestigious institutions across Europe. As a member of the probability research group at the University of Vienna, Dr. Carrance contributes to a vibrant mathematical community focused on stochastic processes, random geometry, and their applications. Her work connects with broader efforts to understand the mathematical foundations of quantum gravity through discrete approaches.

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Jordy Timo van VelthovenView profile

Researcher

University of ViennaAustria

Jordy Timo van Velthoven is a researcher in the Department of Mathematics at the University of Vienna's Faculty of Mathematics. His office is located at Oskar-Morgenstern-Platz 1, Room 05.135 in Vienna, Austria. He teaches advanced seminars in Harmonic Analysis (course codes 510003 SE, 510004 SE, 510005 SE) for the 2024W, 2025S, and 2025W academic terms. His research focuses on Harmonic Analysis, Fourier Analysis, and Representation Theory of Lie Groups , with specific expertise in asymptotics of matrix coefficients, density conditions for coherent state subsystems, localisation of frames and Riesz bases, and multiparameter function spaces. His work bridges pure mathematics with applications in signal processing and functional analysis. Analysis of his recent publications reveals a strong emphasis on frame theory, coorbit spaces, and function space classifications across homogeneous groups. His collaborations span international institutions, with frequent work on density conditions, wavelet analysis, and Lie group representations. Key recurring themes include anisotropic spaces, discrete geometry in harmonic analysis, and operator theory applications. His scientific contributions have been published in top-tier mathematics journals including Annals of Mathematics , Journal of Functional Analysis , and Proceedings of the American Mathematical Society , though no specific awards or fellowships are documented in the provided materials. Van Velthoven actively mentors graduate students through his Harmonic Analysis seminars and supervises research projects. His work involves significant collaboration with prominent mathematicians like Führ, Voigtlaender, and Romero. Current research directions include extending density theorems to non-unimodular groups and developing molecular decompositions for quasi-Banach coorbit spaces.

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