Find Academic Supervisors

• Neoplasm
• Magnetic Resonance Imaging
• Molecular Imaging
• +3 more

Vanessa Fröhlich is a Researcher at the Competence Center for Preclinical Imaging and Medical Technology within the Faculty of Health, specializing in advanced medical imaging techniques. Her work bridges preclinical radiation research, molecular imaging, and artificial intelligence applications in radiology. Education: Master's degree in MedTech (approved February 5, 2016) Bachelor's degree in radiology technology (approved July 11, 2013) Her research focuses on high-field magnetic resonance imaging (15.2T) for cancer studies, with emphasis on geometric distortion correction in preclinical settings and AI-driven image analysis. Key areas include neoplasm imaging, blood-brain barrier studies, and molecular imaging techniques for breast cancer subtypes. She develops open-source computational pipelines to enhance multimodal data processing in radiation research. Recent publications (2024-2025) demonstrate a strong trend toward open-source tool development for preclinical imaging and AI validation in mammography. Her work addresses critical challenges in high-field MRI distortion correction while advancing quantitative analysis methods for radiation therapy applications. Fröhlich actively participates in major research initiatives including the PAIR project (2022-2026) and Applied Molecular Imaging project (2021-2026), collaborating with interdisciplinary teams on molecular imaging technologies and preclinical radiation methodologies. These projects provide critical infrastructure for her computational imaging research. As a core member of the Competence Center for Preclinical Imaging and Medical Technology, she contributes to cutting-edge research on preclinical imaging platforms, working with teams focused on translating advanced imaging techniques to clinical applications in oncology and neurology.

Markus SteinbergerView profile

Associate Professor

• GPU Computing
• Computer Graphics
• Parallel Processing
• +3 more

Markus Steinberger is an Associate Professor at Graz University of Technology (Austria), leading the GPU Computing and Visualization Group at the Institute for Computer Graphics and Vision. He holds an MSc and PhD in Computer Science from TU Graz, with a postdoc and multiple leadership roles in academic and industry labs, including NVIDIA and the Max Planck Institute. His research focuses on GPU scheduling, parallel computing, and high-performance visualization techniques. He has led teams at TU Graz, Huawei Technologies (Cloud Rendering Lab), and the Max-Planck-Center for Visual Computing. Education 11/2020: Habilitation in Practical Computer Science at TU Graz 10/2013: PhD in Computer Science (Dynamic Resource Scheduling on Graphics Processors) 10/2010: MSc in Telematics 10/2005: BSc in Telematics Research Interests Steinberger’s work centers on optimizing GPU computing for real-time rendering and parallel processing. He explores efficient resource scheduling, dynamic graph management, and high-performance visualization techniques, with applications in cloud rendering, scientific visualization, and interactive graphics. His methods emphasize scalability and real-world applicability in both academic and industrial settings. Awards Heinz Zemanek Prize (2016) – First Austrian recipient GI Dissertation Prize (2014) – Best dissertation in German-speaking computer science Multiple Eurographics Best Paper Awards (2021, 2020, 2014) HPEC Best Student Paper (2017) ACM CHI Honorable Mention (2014) Advising & Grants Steinberger has advised numerous students and led projects funded by EU initiatives and industry partnerships. His research has been recognized through grants supporting GPU scheduling, cloud rendering, and parallel computing. Labs & Teams Leads the GPU Computing and Visualization Group at TU Graz and directed the Cloud Rendering Lab at Huawei, focusing on scalable rendering solutions for distributed systems.

Neda GhiassiView profile

Researcher

• Urban Energy Modeling
• GIS Applications
• Sustainable Architecture
• +3 more

Neda Ghiassi is an affiliated researcher at TU Wien's E259 - Institut für Architekturwissenschaften , focusing on urban energy modeling and computational frameworks. Her work integrates Geographic Information Systems (GIS), data analysis, and interdisciplinary approaches to address urban energy challenges. Key projects include MOTIVE (vacuum glass integration in construction) and EMULATE (urban energy assessment tools). She has published extensively on topics like high-resolution energy modeling, building product data handling, and cluster analysis for urban systems. Her research emphasizes sustainable urban development through innovative computational methods, bridging technical, social, and policy dimensions. She collaborates on projects funded by Research Studios Austria and contributes to teaching via research-guided courses. Notable outputs include a doctoral thesis on an hourglass model for urban energy systems and reports detailing project advancements in energy efficiency and building technology. Her expertise spans technical documentation, multi-stakeholder data collaboration, and scenario-based modeling. Current work explores human-centric energy modeling (MAIN_STREAM) and semantic web approaches for building product data. No awards are explicitly listed, but her contributions reflect significant engagement in academic and applied research.

• Formal Methods
• Model-Driven Engineering
• SAT/QBF Solving
• +4 more

Martina Seidl is a researcher and principle investigator at TU Wien's Institut für Softwaretechnik und Interaktive Systeme (E188). Her main affiliation is within the Faculty of Informatics. She leads the FAME Project (Formalizing and Managing Evolution in Model-Driven Engineering), focusing on advancing formal methods in software engineering. Her research interests include formal verification techniques, SAT/QBF solving algorithms, model-driven engineering, and automated reasoning. She has contributed to advancements in quantified Boolean formula (QBF) solving, parallel computing methodologies for logical problems, and formal methods in software model analysis. Her work spans theoretical computer science and practical applications in automated theorem proving and model checking. Notable contributions include expansion-based QBF solving approaches, parallel solving frameworks, and feature-based classifications of formal verification techniques. Seidl co-organized the QBF Gallery initiative, which curates benchmark suites for quantified Boolean formula competitions. She has also published extensively on clause redundancy optimization, blocked clause analysis, and the integration of formal methods in educational contexts like UML@Classroom.

Lukas GahleitnerView profile

Researcher

• Non-destructive testing
• Thermography
• Composite materials
• +3 more

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.

Christopher HoehnView profile

Senior Lecturer

• Sleep Research
• Consciousness Studies
• Biological Psychology
• +7 more

Dr. Christopher Hoehn is a Senior Lecturer in Biological Psychology and Methodology at the Department of Psychology , University of Salzburg , where he is affiliated with the Faculty of Natural and Life Sciences. He conducts research in the Laboratory for Sleep and Consciousness Research and serves as a key member of the Methodology group. PhD in Imaging the Mind (2024), University of Salzburg M.Sc. in Psychology (2020), University of Salzburg B.Sc. in Psychology (2018), University of Salzburg Dr. Hoehn's research focuses on sleep, consciousness, memory consolidation, and EEG-based brain state analysis . His work integrates biological psychology with advanced methodological and statistical approaches. He investigates the impact of modern lifestyle factors—such as smartphone use and artificial light—on circadian rhythms and cognitive performance, employing both experimental and computational techniques. His recent publications highlight trends in neurophysiological markers of sleep-wake states , including spectral slope and Lempel-Ziv complexity, as well as the cognitive consequences of pharmacological and environmental interventions. These studies are published in high-impact journals such as Brain Communications , eNeuro , and Clocks & Sleep . Dr. Hoehn has been actively involved in teaching methodology and statistics at both the bachelor’s and master’s levels and has served in various academic roles including tutor, research associate, and PhD student at the Centre for Cognitive Neuroscience. Senior Lecturer, University of Salzburg (2024–present) PhD Student, Laboratory for Sleep and Consciousness Research (2020–2024) Research Associate (2019–2020) Tutor in Methodology and Statistics (2017–2020) He leads research projects within the Methodology group / Laboratory for Sleep and Consciousness Research , contributing to interdisciplinary efforts in cognitive neuroscience and psychological methodology.

• Experimental Economics
• Fairness and Moral Behavior
• Choice Architecture
• +3 more

Essi Kujansuu is a Researcher at the University of Innsbruck, with affiliations at the University of Turku and the Institute of Replication (I4R). She holds a PhD in Economics from the European University Institute. Her work focuses on experimental economics, exploring themes like fairness, trust, moral behavior, and choice architecture. Recent research emphasizes meta-science and Open Science, particularly computational reproducibility and robustness analysis of published studies. Her experimental designs often involve real-effort tasks and real-time interaction platforms like oTree. Key contributions include analyzing wage rigidity in labor markets, the psychological impacts of wage cuts, and the effectiveness of nudges under transparency. She collaborates internationally on projects ranging from field experiments in credence goods to assessing reproducibility in quantitative social science through human-AI teams. Current projects include investigating how transparency affects nudge deployment by choice architects and comparing human vs AI-assisted methods in research reproducibility. She frequently contributes to replication efforts of high-impact studies in development and health economics. Her technical expertise spans experimental platform development (e.g., Django Channels integration) and advanced statistical methods for reproducibility analysis. Future work aims to bridge behavioral economics with modern computational tools, enhancing both theoretical understanding and practical applications of economic decision-making models.

• Solidarity Studies
• Labor Market Policy
• Health Policy
• +4 more

Elias Weiss is a researcher at the University of Vienna's Institute of Political Science within the Faculty of Social Sciences. He holds a BA and MA in Political Science from the University of Vienna, focusing on interpretive qualitative and exploratory research methods. His bachelor's thesis examined the duration of electoral periods, specifically the extension of Austria's legislative period from four to five years. His master's work shifted to solidarity research, particularly in labor market, economic, and health policies, analyzing the GameStop incident's political-solidarity dimensions. Research Interests: Solidarity studies, labor market dynamics, health policy, universal basic income, election period analysis, and policy discourse analysis. His work bridges political theory with empirical policy evaluation, emphasizing interdisciplinary approaches to contemporary societal challenges. Articles Trends: His publications span cognitive science, health policy, and education, reflecting a focus on mental health interventions, workplace environments, and neurocognitive adaptations. Recent work includes studies on pandemic impacts, light therapy efficacy, and stroke rehabilitation. These themes underscore a commitment to applying empirical research to real-world challenges in academia, healthcare, and public policy. Advising & Grants: No specific advising roles or grants are mentioned. His contributions are primarily through research and academic publications. Labs/Teams: Associated with the CESCoS (Contemporary Solidarity Studies) research group at the Institute of Political Science, focusing on socio-political solidarity dynamics in modern contexts.

Daniel CornelView profile

Researcher

• Flood Modeling
• Hydrology
• Computational Fluid Dynamics
• +3 more

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.

Todd EhlersView profile

Professor

• Earth surface processes
• Tectonics
• Paleoclimate modeling
• +4 more

Todd Ehlers is a Professor (W3) of Geology and Department Chairperson at the Department of Geosciences, University of Tübingen, Germany. He directs the Earth System Dynamics research group, which includes approximately 40 researchers, staff, and students. Previously, he held academic positions at the University of Michigan, USA, serving as Assistant Professor (2003-2007) and Associate Professor (2007-2009) with tenure. Research Interests: His work focuses on integrating geophysical, geochemical, and geologic methods to study interactions between climate, tectonics, biota, and mountain topography. Key areas include biotic controls on topography, Earth surface processes, geodynamics, and glacial erosion. He uses high-performance computer models alongside geochemical data (e.g., thermochronology, isotope analysis) and geologic data to understand long-term (million-year) surface evolution processes in regions like the Andes and Himalaya-Tibet. Scientific Awards and Honors: Ralph Alger Bagnold Medal (2018, EGU) ERC Consolidator Award (2014) Golden Hammer Teaching Award (2016, University of Tübingen) Fellow of the Geological Society of America (2009) Outstanding Ph.D. Student Award (University of Utah, 1999) Grants and Leadership: He coordinates two European research projects totaling over 12 million Euros, including an ERC Consolidator Grant, and co-coordinates a German Science Foundation (DFG) priority program. He has over 10 years of editorial experience for leading journals and co-authored a U.S. National Academy of Sciences report on Earth surface processes research.

• Soil science
• greenhouse gas emissions
• stable isotopes
• +7 more

Johannes Friedl is an Adjunct Senior Lecturer at Queensland University of Technology and Senior Scientist at the Institute of Soil Research, University of Natural Resources and Life Sciences Vienna (BOKU). With a PhD in Environmental Science from Queensland University of Technology (2017), he specializes in soil nitrogen and carbon cycling within terrestrial ecosystems, focusing on greenhouse gas emissions and microbial pathways in agricultural systems across climate zones. Key Appointments : 2023: Adjunct Senior Lecturer, Queensland University of Technology 2023: Senior Scientist, Institute of Soil Research, BOKU Core Expertise : Stable isotope techniques Biogeochemical modeling Nutrient loss mitigation Climate-agriculture interactions His research integrates high-resolution sensor data , molecular analysis , and 15N tracer methods to optimize nitrogen management in pastures and sugarcane systems. Recent work emphasizes emission hotspots and dual N2O/N2 measurement for accurate biogeochemical modeling. Selected Scientific Awards : 2020: Future Leaders Project Award, QUT 2017: QUT Vice-Chancellor’s Performance Award 2016: Soil Science Australia Thesis Award 2015: QUT Faculty Publication Award As a community reviewer for journals like Agriculture, Ecosystems & Environment and Biogeosciences , he contributes to advancing nitrogen cycle research. His international collaborations span institutions in Australia, Denmark, and Austria.

• Collaboration Engineering
• Connectivity
• Crowdsourcing
• +7 more

Ronald Maier is a Professor for Information and Knowledge Management at the School of Management, University of Innsbruck, Austria. He has held this position since February 2007, following previous appointments at Martin-Luther-University Halle-Wittenberg (2002-2007) and as Visiting Assistant Professor at the University of Georgia (1998-1999). His academic credentials include a PhD in Management Information Systems from WHU and a habilitation from the University of Regensburg. Maier's research focuses on collaboration engineering , connectivity , crowdsourcing , digital change , and knowledge management . His work explores knowledge maturation processes, idea convergence techniques, and knowledge protection in networked settings. He has developed theoretical frameworks like the Knowledge Appropriation Model and KEP model for workplace learning. His recent publications (2022-2025) show a strategic shift toward human-AI collaboration, examining generative conversational AI's impact on team dynamics and work practices. Earlier work established foundations in crowdsourcing, idea convergence, and knowledge maturation, with publications in top journals like Journal of Management Information Systems and Computers in Human Behavior . Maier has led work packages in major EU projects including KnowCom, MATURE, ARISTOTELE, POSECCO and LAYERS. His research has appeared in books such as Knowledge Management Systems and Knowledge Management in Digital Change , along with numerous high-impact journal articles across information systems and knowledge management disciplines.

• Protostars
• Protoplanetary Disk
• Star Formation
• +5 more

Eduard Vorobiev is a researcher affiliated with the Faculty of Earth Sciences, Geography and Astronomy, specializing in astrophysics. His work focuses on star formation, protoplanetary disks, and computational methods for high-performance astrophysical simulations. Research interests include: Protostars and accretion bursts Protoplanetary disk dynamics Gravitational instability in stellar systems Young stellar objects and disk winds Computational astrophysics with hybrid parallelization ALMA observational constraints Recent publications highlight his contributions to modeling high-mass star formation and optimizing Fortran-based simulations. He participates in academic events like the Graz Vienna Exoplanet Science Meetings and leads research projects on star formation and galaxy evolution. His work involves collaborations with institutions using ALMA surveys and gravitational instability analysis.

• Vehicle Safety
• Lithium-Ion Battery Safety
• Electro-Mechanical Systems
• +3 more

Patrick Höschele is a researcher at Graz University of Technology (TU Graz), holding the academic degrees of Dipl.-Ing. (equivalent to MSc), Dipl.-Ing. Dr.techn. (Doctor of Technical Sciences), and BSc. He is affiliated with the Institute for Vehicle Safety at TU Graz, where he conducts research on vehicle safety and battery technologies. Research Focus: Lithium-ion battery safety and reliability Electro-mechanical interactions in battery systems Second-life applications for automotive batteries Crash safety and mechanical deformation effects on batteries Thermal management and aging mechanisms His research spans multiple interdisciplinary areas including mechanical engineering, electrical engineering, materials science, and energy storage systems. The primary focus lies in understanding how mechanical stresses, environmental conditions, and aging processes affect the performance and safety of lithium-ion batteries, particularly in automotive applications. Research Trends: The body of work demonstrates a consistent focus on battery safety under mechanical loading conditions, with particular emphasis on pouch cell behavior. Recent studies investigate the interplay between electrochemical performance and mechanical integrity, especially concerning second-life applications. The research methodology combines experimental investigations with numerical modeling approaches. Contact Information: Email: patrick.hoeschele@tugraz.at Institute for Vehicle Safety TU Graz Inffeldgasse 13/VI 8010 Graz, Austria

• Polymer Processing
• Computational Fluid Dynamics
• Digital Transformation
• +3 more

Mohammadreza Aali is a Researcher at the Institute of Polymer Processing and Digital Transformation, Johannes Kepler University Linz, Austria. His work focuses on advancing polymer manufacturing through computational modeling and digital transformation, with active involvement in European and Austrian-funded research projects. Dr. Aali's research spans polymer processing, computational fluid dynamics, and digital transformation in manufacturing. Key areas include viscoelastic material behavior analysis, centrifugal drying system optimization for pelletizing, and extrusion die design enhancement using high-performance computing. His methodologies integrate OpenFOAM, DEM-MPS coupling, and advanced simulation techniques to improve process efficiency and product quality in industrial polymer applications. Recent publications (2024-2025) demonstrate a concentrated focus on computational solutions for polymer processing challenges. Works cover force/torque calculations for viscoelastic materials, drying efficiency optimization, digitalization techniques, and extrusion die design, appearing in journals like Polymers and International Polymer Processing . These publications highlight interdisciplinary research at the intersection of materials science, mechanical engineering, and computational methods. Dr. Aali currently contributes to the Pro2Future CoExCo 2 project (2021-2025), funded by the Austrian Research Promotion Agency (FFG), and previously participated in an EU-funded PVC extrusion project (2023-2024). His research portfolio indicates strong grant acquisition capabilities in polymer processing optimization, with opportunities for collaboration and mentorship in computational polymer engineering. As part of Johannes Kepler University's Institute of Polymer Processing and Digital Transformation, Dr. Aali collaborates within a multidisciplinary team advancing digital transformation in polymer manufacturing. His work involves close cooperation with researchers across institutions on projects integrating experimental validation and computational modeling to solve industrial challenges in polymer processing equipment design and operation.