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Alexander HaberlView profile

Researcher

• Computational Mathematics
• Numerical Analysis
• Adaptive Finite Element Methods
• +3 more

Alexander Haberl is a Researcher at TU Wien, affiliated with the Department of Numerical Analysis (Forschungsbereich Numerik). He holds degrees including Dipl.-Ing., Dr.techn., and BSc. His research focuses on adaptive numerical methods, computational efficiency, and finite element methods. He has contributed to the development of adaptive algorithms for nonlinear operators and boundary element methods (BEM), emphasizing optimal convergence rates and computational cost analysis. Key research areas include adaptive finite element methods (FEM), boundary element methods, and iterative solvers for nonlinear systems. His work addresses challenges in scientific computing, such as designing algorithms with provable optimality properties and minimizing computational resources. Haberl has collaborated extensively with Dirk Praetorius, Stefan Schimanko, and others on projects involving inexact solvers and preconditioned conjugate gradient (PCG) methods. Publications highlight contributions to monotone operators, Helmholtz equation solutions, and electrostatic capacity computations on complex geometries. His research bridges theoretical numerical analysis and practical computational engineering, with applications in structural mechanics and wave propagation. Haberl’s advising includes Michael Innerberger, who explored instance optimality in adaptive FEM. He is part of TU Wien’s Network Lab and actively contributes to conferences and workshops on adaptive methods and numerical algorithms.

• Computational Mathematics
• Quantum Mechanics
• Numerical Analysis
• +3 more

Harald Hofstätter is affiliated with the Institute of Theoretical Physics at TU Wien. His primary research focuses on developing and analyzing computational methods for quantum systems, particularly adaptive integrators and splitting methods for nonlinear evolution equations. He collaborates extensively on projects involving electronic structure computations, many-body quantum systems, and time-dependent Schrödinger equations. Key areas of expertise include exponential integrators, Magnus-type methods, and error estimation techniques. He has contributed to applications in solar energy conversion, Bose-Einstein condensates, and semiconductor physics. Hofstätter's work emphasizes efficient numerical algorithms for high-dimensional systems and adaptive time-stepping strategies. He participates in interdisciplinary projects such as the Network Lab at TU Wien, focusing on computational quantum dynamics and solar cell simulations. His recent publications address topics like chaos-induced coherence loss in condensates and non-existence proofs for certain splitting methods with positive coefficients.

Zsolt HorvathView profile

Researcher

• Flood Risk Management
• Hydrological Modeling
• Computational Fluid Dynamics
• +3 more

Zsolt Horvath is a researcher at TU Wien's Engineering Hydrology Research Section (Forschungsbereich Ingenieurhydrologie). His work focuses on advanced hydrological modeling, flood risk management, and computational fluid dynamics. He specializes in developing high-resolution simulation frameworks for urban/rural flash floods and river flooding, leveraging GPU acceleration and numerical methods like the Saint-Venant system. Expertise: Flood modeling, computational hydrology, geospatial analysis, climate impact studies Key Projects: HORA 3.0 flood risk zoning, interactive flood visualization tools, Kepler shuffle GPU algorithms

Andreas BauerView profile

Researcher

• Biomedical Engineering
• Mathematical Modeling
• Cardiovascular Systems
• +3 more

Andreas Bauer is affiliated with the Institut für Analysis und Scientific Computing at TU Wien, part of the Faculty of Mathematics and Geoinformation. He holds a Dipl.-Ing. (Diploma Engineer) and Dr.techn. (Doctor of Technical Sciences) degree. His research focuses on interdisciplinary applications of mathematical modeling in biomedical engineering, cardiovascular systems, and public health. Bauer collaborates extensively with institutions like the Network Lab and has contributed to projects involving computational biology, pharmacokinetics, and neuroimaging. Research interests include: Model-based analysis of arterial pulse waves and circadian rhythms in cardiovascular systems Development of microsimulation approaches for mental health burden prediction Evaluation of compartment models for pharmaceutical agents like infliximab Multi-tracer PET neuroimaging studies of serotonergic systems His work spans 2010-2019 with notable contributions in: Cardiovascular parameter validation using oscillometric measurements Comparison of radial/brachial pressure waveform analysis Agent-based modeling for mental health pathways Web-based platforms for simulation education No scientific awards were explicitly mentioned in the profile. Collaborative projects include work with Prof. Breitenecker on modeling methodologies and Prof. Wassertheurer on cardiovascular dynamics. Active involvement in TU Wien's Network Lab supports interdisciplinary research initiatives.

Anita GerstenmayerView profile

Researcher

• Mathematical Modeling
• Partial Differential Equations
• Numerical Analysis
• +3 more

Anita Gerstenmayer is a researcher affiliated with the Institut für Analysis und Scientific Computing at Technische Universität Wien (TU Wien) . Her work focuses on mathematical modeling and numerical analysis of cross-diffusion systems and biomedical engineering applications. She holds a Dipl.-Ing. (Master of Engineering) and a Dr. techn. (PhD) in technical sciences. Her research interests span partial differential equations , ion transport modeling , and computational fluid dynamics , with recent emphasis on degenerate cross-diffusion systems in chemistry and biomedical contexts. She has developed numerical schemes (finite-volume/element methods) for ion transport problems and pioneered arterial wave propagation models for estimating aortic blood pressure. Her 2019 work advanced finite-volume schemes for cross-diffusion systems, while earlier studies (2014–2015) explored cardiovascular dynamics through 1D arterial models. Collaborations with Prof. Ansgar Jüngel and Siegfried Wassertheurer highlight interdisciplinary strengths in applied mathematics and biomechanics. No scientific awards are listed, but her contributions to numerical methods and biomedical modeling are prominent in peer-reviewed publications.

• Machine Learning
• Nanotechnology Sensors
• Bayesian Inversion
• +3 more

Amirreza Khodadadian is a researcher affiliated with TU Wien's E194-06 Machine Learning Research Group. His work focuses on computational methods for nanosensors, numerical solutions to stochastic partial differential equations, and Bayesian inversion techniques. He collaborates extensively with Prof. Clemens Heitzinger and other researchers in fields like nanotechnology and applied mathematics. Key research areas include meshless numerical methods (e.g., interpolating element free Galerkin), optimal multi-level Monte Carlo algorithms, and sensor modeling using machine learning and Bayesian approaches. His publications address challenges in nanoelectronics, groundwater contamination modeling, and phase-field fracture simulations. Khodadadian's contributions span theoretical developments and practical applications, including work on carbon nanotube field-effect transistors and hyper-parameter optimization for autoencoder-based systems. He actively participates in projects funded by the Austrian Science Fund (FWF) and collaborates across disciplines to advance computational sensor technology.

• Astrophysics
• Cosmology
• Galaxy Clusters
• +3 more

Lukas Winkler is an active researcher in the Department of Astrophysics within the Faculty of Earth Sciences, Geography and Astronomy, specializing in computational cosmology and astrophysical simulations. His educational background includes: BSc in Astrophysics MSc in Astrophysics Winkler's research spans critical domains in modern astrophysics: Fundamental cosmological modeling and simulation techniques Galaxy cluster and halo formation dynamics High-performance computational methods for cosmological parameter estimation Cloud-based infrastructure for large-scale astrophysical simulations His recent publications reveal a strong trajectory toward integrating cloud computing with advanced simulation methodologies, particularly in developing efficient zoom-in simulation frameworks and accelerating cosmological parameter reconstruction through innovative N-body techniques. This work addresses computational bottlenecks in modeling cosmic structure formation. No scientific awards were documented in the available information. Details regarding student supervision, research grants, or laboratory affiliations were not provided in the source material.

• Science and Technology Studies (STS)
• Transdisciplinary Research
• Urban Policy and Planning
• +5 more

Andrea Schikowitz is a Professor at the Department of Science and Technology Studies (STS) within the Faculty of Social Sciences at the University of Vienna. Her work focuses on transdisciplinary research methodologies, urban policy, and collaborative housing models. She has been actively engaged in revisiting concepts like reflexivity and interpretative methods in STS, emphasizing care and ethical considerations in academic practices. Research Interests: Autoethnography, urban mobility, spatial planning, and the sociology of scientific knowledge Recent Awards: STS Austria Prize (2020) and Postdoc:muv Mentoring Program (2021) Key Collaborations: Visiting researcher at Maastricht University (2024), frequent speaker at international STS conferences Her publications explore tensions in transformative research, such as the interplay between societal relevance and academic value systems. Schikowitz has contributed to groundbreaking studies on self-managed housing in Vienna and the communication strategies of housing activists.

Werner WolfgangView profile

Associate Professor

• Low Energy Electron Emission
• Coincidence Spectroscopy
• Surface Analysis
• +5 more

Ao.Univ.Prof. Dr.techn. Werner Wolfgang is an Associate Professor at TU Wien's Department of Atomic and Plasma Physics. His primary affiliation is with the research group E134-03, focusing on atomic and plasma physics. He leads projects such as EUSpecLab and studies low-energy electron interactions with materials. His research interests center on low-energy electron emission, coincidence spectroscopy, and surface analysis of 2D materials and polymers. He explores electron scattering, inelastic mean free paths, and spectroscopic techniques like EPES and XPS for nanoscale metrology. Wolfgang has advised numerous students, including Philipp Ziegler, Olga Ridzel, and Vytautas Astašauskas, whose theses cover topics like graphene characterization and polymer analysis. His work bridges experimental and computational methods, contributing to advancements in surface physics and material science. Key projects include investigating electron affinity in PMMA and studying energy deposition in 2D materials. He collaborates on metrology initiatives and contributes to international conferences on surface and interface analysis.

• Bioprocess Technology
• Plant Molecular Farming
• Protein Engineering
• +4 more

Johannes Buyel is a Full Professor at the Institute of Bioprocess Science and Engineering , Department of Biotechnology and Food Science, University of Natural Resources and Life Sciences Vienna (BOKU). His research focuses on plant molecular farming for biopharmaceutical production, bioprocess integration, and digitalization in bioengineering. Key research areas Rational gene/protein design for therapeutics Bioprocess modeling and digitalization Cascading biomass utilization Design of experiments (DoE) applications Recent publications emphasize protein purification techniques (HIC isotherms), plant-based production of cytokines and checkpoint inhibitors, and microfluidic drug delivery systems. He leads the Biotopia doctoral school (FWF-funded, 2025-2029) and has presented internationally on bioprocess scale-up and digitalization. His work bridges computational biology with industrial applications, particularly in plant-derived biopharmaceuticals and sustainable bioprocessing. Current projects focus on advanced therapy medicinal products, cellular agriculture, and mechanistic modeling of plant expression systems.

• Fish Ecology
• Hydropeaking
• River Ecosystem Management
• +7 more

Bernhard Zeiringer is a researcher at the Institute of Hydrobiology and Aquatic Ecosystem Management, part of the Department of Ecosystem Management, Climate and Biodiversity at the University of Natural Resources and Life Sciences, Vienna (BOKU). He is actively engaged in research on aquatic ecosystems, with a strong focus on the ecological impacts of hydropower, particularly hydropeaking and fish passage. His research interests center on fish ecology , hydropeaking effects , ecological flow (e-flows) , river ecosystem management , and hydropower environmental impact mitigation . His work integrates field monitoring, experimental studies, and modeling to assess and mitigate anthropogenic stressors on riverine ecosystems. The recent publications highlight a consistent research trajectory in hydropeaking dynamics , fish stranding and drift , downstream migration solutions , and habitat modeling . His studies span from local Austrian rivers to international contexts in Central Asia, reflecting a broad application of his expertise in sustainable hydropower and fish conservation. Scientific Awards: No scientific awards were mentioned in the provided text. Advising and Grants: Bernhard Zeiringer has led and participated in numerous research projects funded by diverse sources including the European Commission , Austrian Science Fund (FWF) , Federal Ministries , City of Vienna , and national and international companies . He has served as project leader on multiple initiatives, such as 'Advanced development of the Fish-Lift-Lock System' and 'Downstream fish passage and fish protection in Austrian rivers'. His collaborative work is evident through co-authorship with colleagues across institutions. No information on current or former advisees was provided. Labs, Teams, and Initiatives: He is a key member of research teams focused on sustainable river management and hydropower impacts. He is involved in initiatives like Hydro4U and ÖkoResch , and has contributed to the development of national guidelines for mitigating hydropeaking impacts in Austria. His work often involves interdisciplinary collaboration within BOKU and with external partners.

• Machine Learning Algorithms
• Artificial Intelligence Applications
• Bioinformatics
• +4 more

Bernhard Knapp is a Professor and Program Director of the Master in AI Engineering at the University of Applied Sciences Technikum Wien. He has held academic positions at the Medical University of Vienna (PhD and Habilitation), University of Oxford (Research Fellowship and Associate Director of a Doctoral Training Centre), and UIC Barcelona (Associate Professor leading a research group). His industry experience includes serving as Chief Data Scientist at Symptoma.com in Vienna, managing a team focused on symptom-to-disease prediction systems. Education: Bioinformatics studies in Hagenberg and Heidelberg, PhD/Habilitation in biomedical computer simulations (Medical University of Vienna). Research Focus: Knapp specializes in machine learning algorithms , AI applications , bioinformatics , and molecular simulations , with a publication record spanning 49 peer-reviewed journal papers (H-index: 26). His work bridges computational methods and biomedical problems, including immunoinformatics and data-driven disease modeling. Labs & Teams: He has led research groups at UIC Barcelona and managed data science teams in industry at Symptoma.com, focusing on scalable AI solutions for healthcare diagnostics.

• Human-Computer Interaction
• Artificial Intelligence
• Mixed Reality
• +4 more

Manfred Tscheligi is a University Professor at the University of Salzburg specializing in Artificial Intelligence and Human Interfaces, with an extensive research portfolio spanning 425 publications and leadership in 88 funded projects. His work bridges academic rigor with practical applications across healthcare, industrial automation, and human-AI interaction domains. His research focuses on Human-Computer Interaction, Artificial Intelligence, and Mixed Reality systems, particularly examining trust dynamics in AI, medical simulation training, and logistics automation. Recent work emphasizes human-centered design in high-stakes environments like emergency medical response and industrial operations, with strong emphasis on real-world validation through European case studies and multi-site collaborations. Current research trends (2024) reveal concentrated efforts in AI transparency for medical training, gesture-based industrial interfaces, and trust calibration in AI-assisted decision making. These studies consistently integrate mixed reality technologies with real-time performance metrics to address critical gaps in human-technology collaboration. Scientific recognition includes: IFIP TC13 Pioneers Award (2021) Best Paper Award at AUI'21 (2021) Best Paper for 'A persuasive interactive mannequin for shop windows' (2009) Professor Tscheligi directs major international initiatives including ExdigitMgmt (2025-2030), ERDERA (2024-2031), and DiMo-NEXT (2024-2028), securing sustained funding for interdisciplinary teams. His conference leadership spans CHI 2016, ECSCW 2019, and Car HMI Europe 2016, demonstrating significant community impact. He co-leads the Doctoral College Human-Computer Interaction (2022-2027) at the University of Salzburg, fostering next-generation researchers through structured doctoral training in emerging interaction paradigms.

Tobias HeedView profile

Professor

• Cognitive Neuroscience
• Sensory Psychology
• Motor Control
• +3 more

Tobias Heed is a University Professor in the Faculty of Psychology at Paris Lodron University Salzburg, specializing in cognitive neuroscience with a focus on tactile perception, motor control, and multisensory integration. His research examines how the brain processes touch, integrates sensory information, and guides movement across the lifespan. His primary research interests include spatial coding mechanisms in touch, the influence of body posture and movement on perceptual organization, developmental trajectories of sensorimotor integration from infancy to adulthood, and pain-related movement avoidance. He investigates how tactile temporal order judgments reveal fundamental aspects of spatial processing and how visual-tactile recalibration alters perceptual hand maps. Analysis of his recent publications (2023-2025) reveals sustained focus on parietal cortex function in tactile-motor transformations, limb-specific coding in 3D space, and the neural basis of crossing effects in temporal order judgments. His work increasingly incorporates meta-analytic approaches and cross-species comparisons between macaque and human ventral intraparietal areas. Professor Heed co-leads the Children's Sensory Lab at the university, which investigates how children discover their bodies and the world through sensory experiences. His media engagements, including features in 'Wie Kinder ihren Körper und die Welt entdecken' (How Children Discover Their Body and World), demonstrate active science communication about embodied cognition and body-world interactions.

• Circular Economy
• Resource Efficiency
• Material Flow Analysis
• +4 more

Nina Eisenmenger is an Associate Professor at the Institute of Social Ecology, University of Natural Resources and Life Sciences, Vienna (BOKU). She leads research on sustainable resource use, circular economy, and decarbonization strategies. With over 70 publications, she has established herself as a leading expert in material flow analysis and socio-ecological transitions. Her research focuses on: Quantifying global material flows and resource productivity Analyzing interactions between circular economy and decarbonization Developing policy-relevant sustainability indicators Assessing urban metabolism and resource footprints Her recent publications predominantly explore the trade-offs between economic development, resource efficiency, and climate goals, with frequent applications in Austrian and European policy contexts. Methodologically, she specializes in input-output analysis, material flow accounting, and scenario modeling. Awards & Honors: Wissenschaftspreis 2009 der Kärntner Sparkasse Research Leadership: Eisenmenger has led 23+ research projects funded by the EU, Austrian Research Promotion Agency, and City of Vienna, including: Critical Raw Materials and Circular Economy (2024-2027) Monitoring CO2 emissions in Vienna (2021-2022) Developing circular pathways for EU low-carbon transition (2022-2026) Academic Mentoring: She has supervised 17+ graduate theses on topics spanning sustainable resource use, material footprint analysis, and socio-ecological transitions.