جست‌وجوی استاد و پژوهشگر

Andreas Stohlمشاهده پروفایل

استاد

• Atmospheric Chemistry
• Climate Research
• Air Pollution
• +۶ مورد دیگر

Andreas Stohl is a full professor at the University of Vienna’s Faculty of Earth Sciences, Geography and Astronomy, leading the Department of Meteorology and Geophysics. He also serves as Interim Head of the Vienna Atmospheric Research Network and Vicedekan of the faculty. His research focuses on atmospheric transport processes, microplastic dynamics, emission source inversion, and climate impacts. Stohl holds a PhD from the University of Vienna and has held senior roles at institutions like the Norwegian Institute for Air Research (NILU) and the University of Colorado. Education: 2000: Habilitation, University of Natural Resources and Life Sciences, Vienna 1996: PhD, University of Vienna 1992: Diploma in Meteorology, University of Vienna 1986-1992: Parallel studies in Astronomy and Meteorology, University of Vienna Research Interests: His work spans atmospheric chemistry, climate modeling, ice core analysis, and the long-range transport of pollutants. Recent studies include microplastic deposition in Siberia, historical ammonia emissions from ice cores, and black carbon’s role in Arctic climate. Key Article Trends: Recent publications emphasize microplastic transport mechanisms, historical pollution reconstructions, and advanced modeling techniques like FLEXPART v11. His work bridges atmospheric physics with environmental policy through emission source identification. Awards: ERC Advanced Grant (2015) ISI Highly Cited Researcher (2014–2018) NASA Group Achievement Award (2009) EUROTRAC-2 Young Scientist Award (2004) Advising & Grants: Stohl leads projects like Constraining Vienna’s Carbon Footprint (CVCF) and Investigating Methane for Climate Action (IM4CA). He advises international initiatives like AMAP’s Short-Lived Climate Forcers group and chairs ERC evaluation panels. Labs & Teams: Central to his work is the Interinstitutional Vienna Atmospheric Research Network, which integrates climate modeling, field observations, and policy analysis.

Elke Pilat-Lohingerمشاهده پروفایل

پژوهشگر

• Astrophysics
• Exoplanet Dynamics
• Planetary Habitability
• +۳ مورد دیگر

Elke Pilat-Lohinger is a researcher at the Department of Astrophysics, University of Vienna, with expertise in planetary dynamics and exoplanetary systems. Her work focuses on understanding the dynamics of binary star systems, including their impact on planetary habitability, orbital stability, and collisional processes. She leads or contributes to projects like 'Chaotic-Streams & Risks for Earth' (2020-2024) and 'BinaryStars - dyn.Habitability' (2012-2021). Her research integrates computational models like GANBISS for simulating N-body interactions in binary systems. Key research areas include stellar encounters (e.g., Gliese 710's passage through the Oort cloud), collision outcomes in planetesimal disks, and the evolution of terrestrial planets in habitable zones. Her studies address fundamental questions about planetary formation, orbital stability, and the long-term dynamics of planetary systems under gravitational perturbations. Publications highlight analyses of trans-Neptunian objects, protoplanetary disk dynamics, and the interplay between binary star configurations and habitability. Her work bridges astrophysics with planetary science, contributing to both theoretical frameworks and observational interpretations of exoplanetary systems.

Martin Weißmannمشاهده پروفایل

استاد

• Numerical weather prediction
• Atmospheric data assimilation
• Ensemble forecasting
• +۴ مورد دیگر

Martin Weißmann is a Professor for Theoretical Meteorology at the University of Vienna's Faculty of Earth Sciences, Geography and Astronomy, where he has served since 2020. Previously, he headed the Department of Meteorology and Geophysics (2020-2022) and the Data Assimilation Branch at the Hans-Ertel Centre for Weather Research. His research focuses on numerical weather prediction, atmospheric data assimilation, ensemble forecasting, error modeling, and applications of wind lidar and satellite data. Education includes an MSc in Meteorology from the University of Innsbruck (1996-2003) and a PhD from DLR Oberpfaffenhofen in cooperation with University of Innsbruck (2003-2006). His scientific commitments include membership in the ESA Aeolus Science and data quality Advisory Group and coordination of the project Experimental Validation and Assimilation of Aeolus Observations. Research interests center on: Advanced data assimilation techniques for numerical weather prediction Ensemble methods for probabilistic forecasting and error quantification Integration of novel observation systems like Doppler wind lidars Validation and application of Aeolus satellite wind data Convective-scale modeling and high-resolution forecasting His publication record demonstrates consistent focus on improving weather prediction systems through innovative assimilation methods, with recent work emphasizing machine learning applications, convective-scale data assimilation, and satellite data validation. Teaching responsibilities include courses in dynamic meteorology, numerical weather prediction, and scientific communication.

• Structural Biology
• Computational Biology
• Molecular Biology
• +۳ مورد دیگر

Anton Polyansky is a researcher affiliated with the Dr. Max Perutz Labs , part of the University of Vienna , within the Department of Structural and Computational Biology . His research focuses on structural biology, computational modeling of biomolecules, and membrane interactions. Key areas include RNA-protein interactions, transmembrane signaling, and the mechanisms behind biomolecular condensates and phase separation. He contributed to the 2' vs. 3' Aminoacylation in Biological Translation project (2017–2021), funded by research grants. His work addresses UN Sustainable Development Goals related to health and innovation, particularly in understanding cellular processes and disease mechanisms. Recent studies include atomistic analyses of diatom-guided silica formation and driving forces behind RNA polymerase condensates. Collaborations span international institutions, emphasizing computational and experimental synergies. No scientific awards are listed, but his extensive publication record (28+ papers) highlights contributions to structural biology and membrane protein dynamics. Advising and grants involve participation in funded projects, though formal student advisement details are not provided. Labs and teams include the Max Perutz Labs, collaborating with groups in computational biology and virology.

• Chemistry
• Material Science
• Nuclear Magnetic Resonance (NMR)
• +۳ مورد دیگر

Christopher Pötzl is a researcher affiliated with the Faculty of Chemistry and the Department of Biological Chemistry. His work focuses on advanced nuclear magnetic resonance (NMR) techniques, biomimetic material synthesis, and molecular dynamics simulations. His research aligns with the UN Sustainable Development Goals , particularly in sustainable materials and analytical chemistry. Key topics include Dynamic Nuclear Polarization (DNP) , peptide-guided silica formation , and structure determination of proteins . Recent publications highlight his contributions to hyperpolarized NMR and biomimetic nanomaterials . Collaborative projects emphasize interdisciplinary approaches to resolving complex biochemical and material science challenges.

Annie Waldherrمشاهده پروفایل

استاد

• Computational Social Science
• Digitized Publics
• Political Communication
• +۳ مورد دیگر

Prof. Annie Waldherr is a University Professor of Computational Communication Science at the University of Vienna's Institute of Journalism and Communication Studies (since September 2020). She previously held roles including Junior Professor at the University of Münster (2017–2020) and Research Associate positions at the Free University of Berlin (2010–2016) and University of Hohenheim (2006–2010). Her research focuses on computational social science, digitized publics, and political communication, leveraging agent-based modeling and network analysis. Education: PhD in Communication Studies (Free University of Berlin, 2011) MSc/BA in Communication Studies (University of Hohenheim and University of Oregon, 2005) Research Interests: Prof. Waldherr explores how digitized public spheres function across translocal networks, integrating computational methods like text mining, social network analysis, and agent-based simulations. Recent work addresses misinformation dynamics, spatial dimensions of online communication, and the ethical challenges of big data. Grants & Projects: DFG-funded 'Translocal Networks: Public Spheres in the Social Web' (2018–2021) analyzing Berlin and Jerusalem Twitter networks Scientific evaluation of Germany's Federal Government's Quality of Life Dialogues (2015–2016) Research Training Group 'Trust and Communication in a Digitalized World' (2012–2021) Labs/Teams: Leads the Computational Communication Science Lab at the University of Vienna, focusing on digital public sphere analysis, misinformation studies, and computational methodologies.

• Computational Chemistry
• Molecular Dynamics
• Ionic Liquids
• +۳ مورد دیگر

Márta Gödeny is a computational chemistry researcher in the Department of Computational Biological Chemistry at the Faculty of Chemistry, specializing in advanced molecular simulation techniques for complex chemical systems. Her research focuses on computational modeling of ionic liquids , with particular expertise in proton transfer mechanisms and carbon dioxide capture processes . She employs reactive molecular dynamics simulations to investigate physisorption, chemisorption, and solvation phenomena, bridging theoretical chemistry and chemical engineering applications. Recent publications demonstrate her leadership in simulation methodology development, including a comprehensive 2025 review of reactive dynamics techniques and significant 2024 updates to the Protex software framework for proton transfer modeling in polarizable environments. Her work shows increasing impact through citation metrics and reader engagement. Dr. Gödeny actively disseminates findings through scientific conferences, presenting six research activities in 2023-2024 including keynotes on proton channel simulations and molecular dynamics of ionic liquid systems, demonstrating strong collaborative ties with the Schröder research group.

• Computational Mechanics
• Boundary Element Methods
• Wave Propagation
• +۳ مورد دیگر

Prof. Martin Schanz is a full Professor at the Institute of Structural Mechanics, TU Graz, within the Faculty of Civil Engineering. His research focuses on numerical methods in computational mechanics, including boundary element methods (BEM), wave propagation modeling, porous media analysis, and structural optimization. He has authored numerous articles on topics such as fast multipole methods, adaptive cross approximation, and multiphasic modeling in biomechanics. Teaching responsibilities include courses on continuum mechanics and structural optimization. His work integrates advanced numerical techniques with applications in civil engineering, materials science, and biomedical systems. Notable projects include the development of efficient BEM formulations for time-domain problems and studies on thrombus formation using porous media theory. He advises doctoral students in computational mechanics and holds a leadership role in the institute. Research collaborations span structural acoustics, poroelasticity, and cardiovascular biomechanics. Contact: m.schanz@tugraz.at

• Rotor Dynamics
• Mechanical Engineering
• Vibration Analysis
• +۳ مورد دیگر

Georg Quinz is affiliated with the Institute of Mechanics at Technische Universität Graz. His work focuses on rotor dynamics, vibration analysis, and numerical methods in mechanical engineering. He holds degrees including Dipl.-Ing. (TU Graz), Dr.techn., and BSc. His research emphasizes advanced balancing techniques for rotor systems, fluid film bearings, and fractional derivative damping models. Research interests include experimental and computational approaches to rotor dynamics challenges, such as parameter identification and modal balancing. Recent publications explore elimination of trial runs in balancing processes and validation through experimental setups. His research portal (PURE) indicates ongoing contributions to mechanical engineering with a focus on precision engineering and dynamic systems analysis.

• Electromagnetic Field Theory
• Hysteresis Modeling
• Finite Element Analysis
• +۵ مورد دیگر

Prof. Klaus Roppert is a researcher at the Institute for Fundamentals and Theory of Electrical Engineering, Technische Universität Graz. His work focuses on electromagnetism, hysteresis modeling, and computational methods in electrical engineering. He holds degrees including Dipl.-Ing., Dr.techn., and BSc. Research Interests: Electromagnetic field theory and hysteresis modeling Finite element analysis for nonlinear systems Aeroacoustic simulations and fluid-structure interactions Material characterization and parameter identification Development of open-source simulation tools (e.g., openCFS) Recent work emphasizes transient analysis of transformers, rotational loss calculations, and energy-based vector hysteresis frameworks. He has contributed to modeling MEMS devices and EMI filters, with a focus on DC-biased components. Teaching and supervision: Involvement in courses and final theses supervision at TU Graz. Labs/Tools: Core contributor to openCFS, an open-source platform for coupled field simulations in acoustics and electromagnetics.

• Autonomous Systems
• Computer Vision
• Sensor Technology
• +۵ مورد دیگر

Prof. Daniel Watzenig is a Full Professor at Graz University of Technology's Faculty of Electrical Engineering and Information Technology, affiliated with the Institute of Visual Computing and the Institute of Electrical Measurement and Sensor Technology. He serves as Dean of Studies for Digital Engineering (DE), overseeing academic programs in this field. His research focuses on autonomous systems, sensor fusion, and advanced control strategies for vehicles, with a strong emphasis on LiDAR technology, path planning algorithms, and real-time environmental perception systems. He holds academic qualifications including Dipl.-Ing. (FH) and Dr.techn. degrees. Research interests span robotics, computer vision, and machine learning applications in transportation systems. His work addresses challenges in autonomous vehicle navigation, sensor reliability under adverse conditions, and safety-critical system validation. Recent publications highlight innovations in thermal-LiDAR fusion, trajectory optimization, and radar-based occupancy grids. He actively contributes to interdisciplinary projects involving co-simulation frameworks and virtual validation methodologies for automated driving functions. Professional roles include leading academic programs in digital engineering and managing research collaborations at TU Graz. His technical expertise is reflected in over 100 publications (2020-2025) covering sensor technology, path planning algorithms, and autonomous system validation. Key labs/teams associated include the Institute of Visual Computing's autonomous systems group and the Electrical Measurement Institute's sensor innovation team.

Kamran Sadiqمشاهده پروفایل

پژوهشگر

• Inverse Problems
• Mathematical Imaging
• Partial Differential Equations
• +۳ مورد دیگر

Kamran Sadiq is a Research Scientist at RICAM (Austrian Academy of Sciences), affiliated with the Inverse Problems and Mathematical Imaging research group. He holds a PhD and focuses on foundational and applied research in inverse problems, partial differential equations, and mathematical imaging. His work includes contributions to X-ray transform analysis, radiative transport, and numerical reconstruction techniques. He has led the FWF-funded project P31053 ( Weighted X-ray transform and applications ), active from 2019–2022. Research Interests include inverse scattering with internal sources, tensor tomography, and partial data reconstruction. His publications emphasize mathematical rigor and numerical methods for imaging challenges. Notable contributions involve inversion algorithms for symmetric tensors and radiative source localization in complex media. Key Achievements : Developed reproducing kernel Hilbert space approaches for inverse scattering Advanced techniques for partial data X-ray transform inversion Contributed to theoretical range characterization of Doppler and Radon transforms Current projects involve applying these methods to biomedical imaging and material science applications.

Thomas Takacsمشاهده پروفایل

پژوهشگر

• Isogeometric Analysis
• Computational Mechanics
• Numerical Analysis
• +۳ مورد دیگر

Dr. Thomas Takacs is a Project Leader in the Geometry in Simulations research group at the RICAM (Research Institute for Symbolic Computation), part of the Austrian Academy of Sciences. His work focuses on advancing computational methods for solving partial differential equations, particularly through isogeometric analysis and spline-based numerical techniques . His research interests include smooth basis constructions, multi-patch domain coupling, and adaptive mesh refinement strategies. Key contributions involve developing C1-continuous spline spaces over planar mixed meshes and unstructured quadrilateral meshes, with applications to engineering problems like linear elasticity. He explores the integration of machine learning (e.g., CNNs) for optimizing quad meshing and employs artificial neural networks in adaptive optimization frameworks. His work bridges geometric modeling and numerical analysis, addressing challenges such as singularity treatment in isogeometric analysis and approximation properties over self-similar meshes. Dr. Takacs collaborates on multi-institutional projects, including the Geometry in Simulations group at RICAM. His publications span computational mechanics, numerical methods, and geometric algorithms, with a focus on advancing the theoretical foundations and practical implementations of isogeometric analysis.

• Cyber-Physical Systems
• Smart Grids
• Swarm Intelligence
• +۵ مورد دیگر

Prof. Wilfried Elmenreich is a Professor at the Department of Networked and Embedded Systems at Alpen-Adria-Universität Klagenfurt. He serves as a Member of the Senate and Member of the Works Council for Academic Staff. His research focuses on Cyber-Physical Systems, Smart Grids, Swarm Intelligence, and Sustainability Technologies. He leads projects involving swarm robotics, decentralized energy management, and educational technology. Key research areas include: Design of swarm-based algorithms for production scheduling and robotics Development of frameworks like SwarmFabSim for bottom-up optimization Non-Intrusive Load Monitoring (NILM) using neural networks and edge computing Integration of federated learning into smart grid systems Sustainability education and pandemic-related behavioral studies His work combines theoretical contributions with practical implementations, such as the CPSwarm project for swarm system design and the Yomopie energy monitoring tool. Recent publications emphasize interdisciplinary approaches, blending robotics, machine learning, and electrical engineering to address challenges in energy systems and autonomous systems.

• Artificial Intelligence
• Robotics
• Systems Engineering
• +۳ مورد دیگر

Peter Pavel Arthur Petráš is a Tutor at the Institute for Intelligent System Technologies within the Faculty of Technical Sciences at the University of Klagenfurt. His research focuses on interdisciplinary applications of artificial intelligence, robotics, and systems engineering, with contributions to fields like swarmalator dynamics, automated systems design, and media literacy in digital environments. He is actively engaged in collaborative projects involving industry partners such as Infineon Technologies Austria AG and the Austrian Research Promotion Agency (FFG), emphasizing practical innovations in technology and education. While not listed as a project head, his role supports cutting-edge research in areas like radar simulation frameworks, garment sorting automation, and multi-agent localization systems. His work bridges theoretical advancements with real-world implementation, particularly in edge-cloud computing and interdisciplinary methodological innovations. Recent publications highlight his expertise in AI-driven solutions, robotics, and the societal implications of digital media. Notable themes include analyzing online political microtargeting avoidance, improving multi-robot exploration algorithms, and exploring poetry workshops in migration research. His contributions align with the University of Klagenfurt’s focus on fostering innovation through its Third Mission initiatives, emphasizing knowledge transfer to regional industries and public sectors. Petráš collaborates on projects addressing societal challenges, such as promoting media literacy through the #NoFakeFacts! Citizen Science initiative and enhancing wind turbine blade inspection via multimedia drones. His work reflects a commitment to both technical innovation and addressing ethical and educational dimensions of emerging technologies.