Find Academic Supervisors

• Debris Flow Dynamics
• Natural Hazard Mitigation
• Geomorphology
• +5 more

Christian Scheidl, Senior Lecturer at the University of Natural Resources and Life Sciences, Vienna, specializes in Alpine Natural Hazards , focusing on debris flows, forest impacts on natural hazards, and climate change effects. His research combines field studies, laboratory experiments, and computational modeling to assess geohazard risks and mitigation strategies. His work spans disciplines like Environmental Science , Geomorphology , and Bridge Engineering , with publications analyzing debris-flow dynamics, soil biodiversity impacts from timber harvesting, and afforestation for avalanche protection. Recent studies include debris-flow run-up measurements, woody debris effects on bridges, and climate change interactions with mountain hazards. His articles reflect expertise in Debris Flow Modeling , Natural Hazard Mitigation , and Forest Ecology , often integrating Field Experiments and GIS-based Simulations . Key collaborations involve gWNGEF Forest and Natural Hazards and iANGF Alpine Natural Hazards .

• Natural Hazards
• Cryospheric Sciences
• Alpine Geophysics
• +3 more

Jan-Thomas Fischer is an Associate Professor at the University of Natural Resources and Life Sciences, Vienna (BOKU), affiliated with the Institute for Alpine Natural Hazards (iANGF). His offices are located in Vienna (Peter-Jordan-Straße 82) and Innsbruck (at the Austrian Federal Forest Research Center, BFW), with teaching authorization specifically in Cryospheric Sciences and Natural Hazards. His research focuses on alpine natural hazard systems, integrating cryospheric science with geophysical risk assessment. Key areas include snow and ice dynamics, avalanche prediction, rockfall mechanics, and debris flow modeling in mountainous terrain, utilizing field observations and computational simulations to advance hazard mitigation strategies. Dr. Fischer operates within iANGF's interdisciplinary framework, collaborating on projects addressing climate change impacts on alpine hazards. Contact is facilitated via email jt.fischer@boku.ac.at or external phone +435125739335102, with office hours by appointment.

Michele ReticcioliView profile

Researcher

• Quantum Materials
• Computational Materials Physics
• Surface Science
• +4 more

Michele Reticcioli is a researcher in quantum and computational materials physics, currently affiliated with CNR L'Aquila, Italy, after previously serving at the University of Vienna until 2024. His work focuses on polarons, surface science, and machine learning applications in materials discovery. He leads research groups exploring electronic properties of materials using advanced computational methods like density functional theory (DFT) and has contributed to understanding polaron dynamics, surface reconstructions, and catalytic mechanisms on oxide surfaces. Teaching includes courses on computational quantum mechanics, data science for physicists, and surface science at the University of Vienna, emphasizing practical simulations using tools like VASP. He has supervised numerous students in topics like machine learning for polaron modeling, surface defect analysis, and computational materials physics. His research has been published in top journals such as Nature Communications , Science Advances , and Physical Review Letters , with a focus on interdisciplinary approaches combining theory and experiments. Key areas include polaron-driven surface phenomena, thermoelectric materials, and superconductivity in hydrides.

Andreas StohlView profile

Professor

• Atmospheric Chemistry
• Climate Research
• Air Pollution
• +6 more

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-LohingerView profile

Researcher

• Astrophysics
• Exoplanet Dynamics
• Planetary Habitability
• +3 more

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 WeißmannView profile

Professor

• Numerical weather prediction
• Atmospheric data assimilation
• Ensemble forecasting
• +4 more

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
• +3 more

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)
• +3 more

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 WaldherrView profile

Professor

• Computational Social Science
• Digitized Publics
• Political Communication
• +3 more

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
• +3 more

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
• +3 more

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
• +3 more

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
• +5 more

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
• +5 more

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 SadiqView profile

Researcher

• Inverse Problems
• Mathematical Imaging
• Partial Differential Equations
• +3 more

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.