جستجوی استاد راهنمای دانشگاهی

• 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.

Ingrid Kubinمشاهده پروفایل

استاد

• International Economics
• Theory of Economic Dynamics
• Labor Economics
• +۳ مورد دیگر

Univ.Prof. Dr.Dr. Ingrid Kubin is a Professor of Economics at the Department of Economics of WU Vienna University of Economics and Business. She holds a dual doctorate (Dr.Dr.) with expertise in International Economics, Economic Dynamics, and Labor Economics. Her research focuses on the intersection of economic geography, nonlinear dynamics, and policy analysis, exploring topics such as regional agglomeration, tax policy implications, and credit cycle dynamics. Dr. Kubin is actively involved in academic leadership, serving on editorial boards (e.g., Computational Economics , Structural Change and Economic Dynamics ), organizing international conferences (e.g., Nonlinear Economic Dynamics 2023 ), and participating in scientific committees for institutions like the Austrian National Bank. She has contributed to over 147 publications and 116 academic activities since 1999, including peer reviews for top journals like the Journal of Economic Dynamics and Control and the International Economic Review . Her work bridges theoretical and applied economics, addressing real-world issues such as Brexit's impact on trade patterns, the dynamics of international taxation, and the role of human capital in credit-driven economies. She has held leadership roles in professional societies including the Nationalökonomische Gesellschaft Österreichs and the Verein für Socialpolitik. Key Roles: Editor of Computational Economics , Member of the Habilitation Committee at WU, Co-organizer of major conferences in economic dynamics. Research Themes: New Economic Geography, Nonlinear Dynamics, Tax Competition, Credit Cycles. Awards: None explicitly mentioned, but distinguished by her extensive peer-reviewed contributions and editorial roles.

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.

• Statistical Methods
• Machine Learning
• Materials Science
• +۵ مورد دیگر

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 .

• Forest Resource Management
• LiDAR Technology
• 3D Point Cloud Analysis
• +۵ مورد دیگر

Andreas Tockner is a researcher at the Institute of Forest Growth, part of the Department of Ecosystem Management, Climate and Biodiversity at the University of Natural Resources and Life Sciences, Vienna (BOKU). He holds a Dipl.-Ing. and B.Sc. degree and is currently pursuing PhD studies since 2021 as part of the "Building Like Nature" program at BOKU University. His work focuses on applying advanced laser scanning technologies to forest resource management and inventory. Dr. Tockner's educational background includes a Diplom-Ingenieur (Dipl.-Ing.) and Bachelor of Science (B.Sc.) degrees. His PhD studies at BOKU University began in 2021 as part of the "Building Like Nature" program. He is actively developing expertise in software development for instance segmentation and feature extraction of 3D point clouds. His research interests center around forest resource management with a strong emphasis on ground-based laser scanning technologies, particularly mobile LiDAR systems. He specializes in software development for instance segmentation and feature extraction of 3D point clouds, which has significant applications in modern forest inventory and monitoring. His work bridges the gap between advanced geospatial technologies and practical forestry applications, enabling more precise and efficient forest management practices. He has developed expertise in analyzing forest structures through 3D point cloud data, with particular focus on tree species classification, forest regeneration monitoring, and timber measurement at individual log levels. Dr. Tockner's publication record reveals a clear progression toward increasingly sophisticated applications of laser scanning technology in forestry. His work has evolved from basic measurement techniques to complex analysis of forest ecosystems, including species identification, wood quality prediction, and even long-term forest projections using digital twin technology. His interdisciplinary approach combines forestry, computer science, and data analytics to solve practical challenges in forest management. Advancements in personal laser scanning for forest inventory Methods for tree species classification using intensity patterns Techniques for quantifying forest regeneration Digital twin applications for forest modeling and future projections Dr. Tockner has supervised two Master's theses in 2025: "Evaluierung boden-, luftgestützter und hybrider Methoden zur Forstinventur im Naturpark Sparbach" by Elias Kimmel and "Assessing the Potential of Personal Laser Scanning to Quantify Tropical Tree Structures" by Luca Stephan Seiler. His research is supported by multiple projects including "Lidar based forest monitoring and harvesting planning" (2023-2026) funded by Federal Ministries and "Forest Inventory with Personal Laserscanners" (2022-2025) funded by the Austrian Research Promotion Agency (FFG). He is actively involved in developing practical applications of laser scanning technology for forest management, with a particular focus on making these technologies accessible for field operations. His work on using Apple iPad Pro with integrated LiDAR technology demonstrates his commitment to practical, field-deployable solutions that can transform traditional forest inventory practices.

• Wildlife Management
• Wildlife Ecology
• Wildlife Physiology
• +۴ مورد دیگر

Paul Griesberger is a Senior Researcher at the Institute of Wildlife Biology and Game Management under the University of Natural Resources and Life Sciences, Vienna , where he has contributed to both basic and applied research since 2017. He completed his Master’s in Wildlife Ecology and Wildlife Management (2014–2017) and Bachelor’s in Biology (Zoology) (2010–2014). Key research areas: Wildlife Management, Wildlife Ecology, Wild Ungulates, Spatio-Temporal Modeling, GPS Telemetry His recent work integrates decision-support tools for sustainable ungulate management, mathematical approaches like Benford’s Law for telemetry data validation, and climate adaptation strategies for forest protection. Collaborations span EU institutions and national parks. His 14 publications (2018–2025) focus on wild ungulate behavior, interspecies competition, telemetry analytics, and canid morphology, with methodologies bridging ecology, statistics, and conservation policy. He has advised 4 Master’s students and contributed to practical guidelines for red deer and chamois management. Scientific awards: Granser-United Global Academy Forschungspreis für eine Nachhaltige Jagd (2022) YO Research Award by CIC (2020) Nationalpark Hohe Tauern stipend (2021)

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.

• Structural Engineering
• Computational Mechanics
• Isogeometric Analysis
• +۵ مورد دیگر

Aleksandar Borković is a Researcher at the Institute of Structural Mechanics , Graz University of Technology. His work focuses on advanced computational methods in structural engineering, particularly isogeometric analysis, finite strip modeling, and van der Waals interactions in slender structures. Department: Institute of Structural Mechanics Email: aborkovic@tugraz.at His research bridges theoretical mechanics and practical engineering applications, addressing nonlinear dynamics, contact mechanics, and geometrically exact formulations. Recent publications highlight innovative approaches to modeling molecular interactions in fiber systems and optimizing computational efficiency for structural simulations. The 15 most recent articles demonstrate expertise in: Van der Waals attraction in curved beams Geometrically exact isogeometric formulations Finite strip method for stiffened plates Contact dynamics in beam-to-beam interactions Nonlinear stability analysis of thin-walled structures Moving load simulations in spatial beams He has also contributed to educational software development for structural analysis, emphasizing real-time visualization and numerical accuracy.

• Human-Computer Interaction
• User Experience
• Mobile Devices
• +۴ مورد دیگر

Peter Fröhlich serves as a Research Associate at the Institute for Marketing within the Faculty of Business at the University of Applied Sciences Wiener Neustadt (FH Wiener Neustadt). Based at the Wieselburg Campus, he maintains an active research profile with continuous scholarly output since 2005. His academic credentials include Mag. Dr. (Master's and Doctoral degrees in the Austrian system) and an MBA. Dr. Fröhlich's research focuses on human-computer interaction, with particular expertise in user experience design, mobile interfaces, and automotive human-machine interaction. His scholarly fingerprint reveals strong specialization in User Interface (100%), Interaction Technique (76%), Mobile Device (76%), and User Experience (69%) research domains. Recent work has examined touchscreen interfaces in extreme environments, takeover requests in automated driving, and design frameworks for automated material handling vehicles. His publication record shows consistent scholarly productivity with 119 documented publications between 2005 and 2025. The output has accelerated in recent years, with 10 publications in 2020, 10 in 2021, 7 in 2022, and 12 in 2023, demonstrating growing research activity. His work appears in reputable venues including Frontiers in Robotics and AI, CEAS Space Journal, and proceedings of the Automotive User Interfaces conference. Dr. Fröhlich maintains active research collaborations across multiple institutions, with co-authorship patterns indicating interdisciplinary work bridging computer science, human factors engineering, and business perspectives. His methodological approach emphasizes empirical user studies and experimental design to evaluate interaction techniques in real-world contexts.

• Landslide Analysis
• Spatial Pattern Analysis
• Statistical Learning Models
• +۷ مورد دیگر

Ugur Öztürk is an Assistant Professor in the Department of Geography and Regional Research within the Faculty of Earth Sciences, Geography and Astronomy at the University of Vienna, specializing in landslide risk assessment and environmental modeling. His work directly contributes to UN Sustainable Development Goals through disaster risk reduction research. His academic credentials include: PhD in Earth Science from Universität Potsdam (awarded February 21, 2019) MSc in Civil Engineering for Risk Mitigation from Politecnico di Milano (awarded October 5, 2012) BSc in Civil Engineering (awarded June 30, 2010) Öztürk's research employs statistical learning models and physics-based simulations to analyze landslide triggers like earthquakes and heavy rainfall, with recent expansion into urban landslide impacts. His fingerprint reveals dominant expertise in Earthquake Trigger (100%), Spatial Analysis (100%), Urban Development (100%), and Heavy Rainfall (100%) within Earth and Planetary Sciences. He has received significant recognition: Postdoc Award in Natural and Engineering Sciences of the State Brandenburg (2023) Univerlecco Master's Scholarship (2010) Öztürk currently leads the €2.3M research project Getting Ahead of Landslides: Understanding Social and Environmental Interactions to Anticipate Future Urban Landslide Risk (UrbanSlide) (2025-2030), securing major grant funding. He maintains active public engagement through 7 press/media contributions, including interviews on landslide disasters and climate challenges covered by 16+ news outlets and 92+ social media accounts.

• Single-cell Biology
• Bioinformatics
• Machine Learning
• +۷ مورد دیگر

Christoph Bock is a Principal Investigator at CeMM Research Center for Molecular Medicine and Professor/Head of the Institute of Artificial Intelligence at Medical University of Vienna. He leads the Biomedical Sequencing Facility and contributes to the Human Cell Atlas and ELLIS initiatives. Key research areas: Single-cell biology , Epigenetics , CRISPR screening , Machine learning , Cell therapy , Multi-omics Major contributions: CellWhisperer (natural language single-cell analysis), JAK-STAT signaling in immune homeostasis, LIQUORICE for liquid biopsies, and RnBeads software Scientific Awards include: ERC Starting Grant (2016) ERC Consolidator Grant (2021) Overton Prize (2017) Erwin Schrödinger Prize (2022) Clarivate Highly Cited Researcher (2019-2024) His lab develops bioinformatics tools (e.g., RnBeads, LIQUORICE) and applies systems immunology to understand disease mechanisms. Startup leadership : Co-founder of Myllia Biotechnology. Collaborations include clinical translations and tech development with the Biomedical Sequencing Facility.