جست‌وجوی استاد و پژوهشگر

Veronika Gaubeمشاهده پروفایل

پژوهشگر

• Land Use and Agriculture
• Integrated Social-Ecological Modeling
• Time Use and Sustainability
• +۵ مورد دیگر

Dr. Veronika Gaube is a prominent researcher at the Institute for Social Ecology (SEC) at the University of Natural Resources and Life Sciences Vienna (BOKU). She coordinates the thematic area 'Land Use and Colonization' and leads multiple EU/nationally funded projects focused on socio-ecological systems, climate change adaptation, and sustainable land use. Specializes in agent-based modeling and integrated socio-ecological research Active in LTSER platforms and eLTER infrastructure development Research Focus: Her work bridges climate change , land use dynamics , and socio-ecological resilience , particularly in alpine regions. Recent projects include modeling agroforestry trade-offs for carbon sequestration and studying farmers' decision-making under extreme weather events. Scientific Contributions: Over 107 publications with a focus on socio-ecological modeling, climate adaptation strategies, and time use sustainability. Key projects include EU-funded initiatives (IRISCC, eLTER ENRICH) and Austrian research on LTSER Eisenwurzen . Elise Richter Grant recipient (FWF, 2012) 2025 coordinator of eLTER's thematic area Mentorship: Supervised 15 theses including master's and doctoral works on topics like "Kupfer, das Gold des biologischen Weinbaues" and "Neue Funktionen landwirtschaftlicher Flächen" . Active in academic service through editorial roles and national biodiversity councils.

• Geoinformatics
• Artificial Intelligence
• Environmental Research
• +۷ مورد دیگر

Peter Mandl is an Associate Professor affiliated with the Institute for Computer Science Education at the University of Klagenfurt. His research focuses on Geoinformatics, Artificial Intelligence, Environmental Research, Remote Sensing, and Computer Simulation. He explores topics such as socio-ecological systems, spatial agent-based modeling, land use change, and urban and regional analysis. His work integrates interdisciplinary approaches, combining GIS technology with environmental policy, social sciences, and engineering. Key research interests include the application of geospatial tools for sustainable land use planning, renewable energy assessment, and modeling complex geographic systems. He has contributed to studies on forest fuel markets, satellite image interpretation, and fog phenomena in climate research. His publications emphasize spatial decision support systems, agent-based simulation frameworks, and the development of open geoinformatics platforms like RadWeb Mittelkärnten. His articles demonstrate a consistent focus on bridging theoretical modeling with practical applications, often using agent-based methods to analyze environmental, economic, and social systems. While no scientific awards are explicitly mentioned, his contributions to geoinformatics education and research are evident through his extensive publication record and teaching roles. Collaborative projects and grants are not detailed here, but his work suggests involvement in interdisciplinary teams addressing environmental and urban challenges. Labs and teams associated with his research are not explicitly listed, though his affiliations imply participation in geoinformatics and environmental science groups at the University of Klagenfurt.

Martin Loidlمشاهده پروفایل

پژوهشگر

• GIS and Mobility
• GIS in Planning
• Cartography and Geovisualization
• +۳ مورد دیگر

Dr. Martin Loidl is a researcher in Geoinformatics at the University of Salzburg's Department of Geoinformatics - Z_GIS, part of the Faculty of Digital and Analytical Sciences. His work focuses on GIS applications in mobility, urban planning, and cartography. Key projects include developing tools like NetAScore for assessing bikeability and walkability, and frameworks for analyzing transportation networks. He has authored over 75 publications, with recent work emphasizing spatial analysis for sustainable urban mobility. His research integrates agent-based modeling, spatial data science, and real-world transportation challenges. Education: Dr., MSc in Geoinformatics. Key Projects: GISMO Study on active commuting, Bike Sharing System Planning, Digital Twins for Urban Sustainability. Research Interests: GIS and mobility optimization, cartography, agent-based simulations, and spatial data science for urban planning. His contributions include software tools like NetAScore and frameworks for bicycle infrastructure analysis. Grants & Awards: Secured funding from various research initiatives; part of interdisciplinary teams addressing urban mobility challenges. Labs/Teams: Mobility Lab | UNIGIS, collaborating on projects like the Bicycle Observatory and spatial network analysis.

• Wood Technology
• Renewable Resources
• Materials Science
• +۵ مورد دیگر

Martin Riegler is a researcher at the Institute of Physics and Materials Science , part of the University of Natural Resources and Life Sciences, Vienna (BOKU). His work focuses on advanced material analysis and sustainable construction within the wood technology sector. Specializes in electrical resistivity measurements of wood Applies machine learning to wood machining acoustics Studies adhesive bondlines modified with carbon fillers Investigates moisture dynamics in wood Recent publications highlight his contributions to smart wood composites , non-invasive testing , and machine learning applications in wood processing. He has presented research at international conferences and collaborated with institutions like the Northern European Network for Wood Science and Engineering. Riegler's work intersects with Materials Science , Wood Technology , and Sustainable Engineering , particularly in optimizing particleboard production and wood moisture prediction . His research spans technical innovation and environmental stewardship in forestry applications.

• Computational Social Science
• Misinformation Studies
• Social Media Algorithm Analysis
• +۴ مورد دیگر

Professor Jana Lasser holds a professorship in Data Analysis at the University of Graz, where she leads the Complex Social & Computational Systems research group at the interdisciplinary IDea_Lab. She serves as Associate Faculty at the Complexity Science Hub Vienna and previously held positions at Graz University of Technology as a Marie Curie Fellow and interim professor at RWTH Aachen. Her educational background includes a PhD in Physics from Georg-August-University Göttingen (2019), conducted at the Max Planck Institute for Dynamics and Self-Organization, with research on salt desert pattern formation. Her academic journey reflects a transition from geophysics to computational social science. Lasser's research centers on emergent phenomena in complex social systems, employing machine learning, natural language processing, and computational modeling. Key interests include misinformation spread on social media, counterspeech effectiveness, social media recommendation algorithms' societal impact, and the fracturing of societal understanding of honesty. Her work combines theoretical frameworks with real-world applications through agent-based simulations and large-scale text analysis. Her recent publications reveal strong thematic coherence across computational social science, with significant focus on political communication dynamics, platform governance, and methodological innovation. The 15 most recent works demonstrate increasing integration of computational methods with social theory, particularly in analyzing truth-concept evolution in political discourse and developing alternative social media architectures. ERC Starting Grant 101160928 DeSiRe for designing social media recommendation algorithms FWF standalone project P 37280-N on conspiracy theory spread netidee SCIENCE prize for digital civic innovation Marie Curie Fellowship for postdoctoral research Lasser actively supervises graduate students in computational social science, with current focus on topics related to her ERC-funded project. She leads the Survey Special Interest Group within the COST Action on Researcher Mental Health, conducting Europe's largest benchmark study on academic mental health. Her lab maintains strong collaborations with the Complexity Science Hub Vienna and international institutions.

Dominik Kopczynskiمشاهده پروفایل

پژوهشگر

• Lipidomics
• Mass Spectrometry
• Metabolic Pathways
• +۳ مورد دیگر

Dominik Kopczynski is a researcher affiliated with the Department of Analytical Chemistry at the Faculty of Chemistry. His work focuses on lipidomics, mass spectrometry, and the development of bioinformatics tools for lipid structure analysis and experimental standardization. He has contributed to initiatives like the lipidomics reporting checklist and Goslin nomenclature system. Active in organizing academic events such as the de.NBI Spring School for lipidomics bioinformatics and Keystone Symposia on lipid biology, he collaborates extensively with international researchers. Research Interests: Lipid metabolism, mass spectrometry-based analytical methods, lipid nomenclature standardization, proteomics, and computational tools for omics data analysis. His work bridges biochemical experimentation with bioinformatics to enhance reproducibility and interdisciplinary collaboration in lipidomics research. Activities: Organized 36 academic events including conferences, schools, and poster sessions. Notable contributions include co-organizing the 2025 de.NBI Spring School and contributing to the Keystone Symposia on lipid cellular function and disease. Engaged in both presenting research and fostering collaborative research networks. Labs/Teams: Collaborates within the Department of Analytical Chemistry and participates in international lipidomics consortia. His work often involves cross-disciplinary teams focused on integrating biochemical and computational approaches. Grants/Advising: While specific grants are not detailed, his extensive publication record and collaborative activities suggest involvement in funded projects related to lipidomics infrastructure development and analytical method standardization.

• Serious Games
• Game Design
• Virtual Reality
• +۳ مورد دیگر

Helmut Hlavacs is a Professor at the Faculty of Computer Science, leading the Research Group on Education, Didactics, and Entertainment Computing. His expertise spans serious games, game design, virtual reality, and health informatics. He has contributed to over 218 publications since 2005, focusing on topics like hedonic experiences in gaming, VR applications in therapy, and AI-driven behavior trees. His work intersects technology, education, and healthcare, with notable projects such as Conquer Catharsis (VR anxiety treatment) and PhyLab (VR physics experiments). Hlavacs has secured research funding for initiatives like Programmieren lernen durch Computerspielentwicklung and Dig-Equality FF , emphasizing digital equity and education. In 2019, he won the Best Poster Award at IFIP for his work on health data from serious games. Research Interests: Serious Games for health and education Virtual Reality applications in therapy and learning Game design methodologies and AI-driven NPC behavior Psychological impacts of gaming and digital consumption Procedural content generation for games Key Projects: Programmieren lernen durch Computerspielentwicklung (2008): Game-based learning for programming skills Dig-Equality FF (2020-2021): Digital competence promotion for equity TP1 PRECIOUS (2013-2016): VR conferencing and stress management Grants and Advising: Hlavacs has advised on projects involving AI in military command systems, VR therapy for anxiety disorders, and participatory design of social media literacy tools. He collaborates internationally on topics like gamification for behavior change and multicultural health interventions. Labs/Teams: His research group focuses on Serious Storytelling and Entertainment Computing , developing tools like the Prototypical game framework and InvisibleSound for blind musicians. Current work includes FiGHT (a web-based tool for eating disorder communication) and OutSmart! (a serious game for social media literacy).

• Cybersecurity
• Game Theory
• Quantum Cryptography
• +۵ مورد دیگر

Stefan Rass is a Professor at the Institute of Networks and Security within the Faculty of Engineering & Natural Sciences at Johannes Kepler University Linz (JKU), where he leads the LIT Secure and Correct Systems Lab. As Principal Investigator for FFG-funded projects including reSilienz (digital supply chain resilience, 2023–2025) and ITPUK (AI signature verification, 2022–2024), he bridges theoretical game theory with practical cybersecurity solutions for critical infrastructures and robotics systems. His research spans game-theoretic security models (patrolling games, defense-in-depth strategies), quantum cryptography (QKD network architectures), and cyber deception frameworks like Honeyquest for measuring honeypot effectiveness. Recent work addresses robotics security benchmarking (RobotPerf), cryptographic instruction chaining for control flow protection, and risk assessment methodologies for interdependent infrastructures. His mathematical decision-making approach integrates bounded rationality and stochastic modeling to solve real-world security challenges. Professor Rass actively shapes the field through program committee roles (ARES 2023), peer reviews, and invited talks on security transparency. His current projects focus on cost-benefit-aware monitoring for cyber-physical systems and quantum key distribution standardization, reflecting Austria’s strategic priorities in digital resilience. The LIT Secure and Correct Systems Lab under his direction develops foundational theories while deploying tools for industrial applications, particularly in critical infrastructure protection and secure robotics workflows.

Claudine-Caroline Eggerمشاهده پروفایل

پژوهشگر

• Social Ecology
• Land Use Change
• Climate Change Impact
• +۷ مورد دیگر

Claudine-Caroline Egger is a researcher at the Institute for Social Ecology (SEC), University of Natural Resources and Life Sciences, Vienna (BOKU), since 2023. Her work focuses on agent-based modeling , quantitative data analysis , and scenario development for future agricultural systems under climate change. She contributes to projects like IRISCC (EU-funded climate risk infrastructure) and CHESS (climate-land use interactions). PhD in Social and Economic Sciences (2018–2023) Master’s in Social and Human Ecology at Alpen-Adria-Universität Klagenfurt (2012–2017) Master’s in Economics at University of Vienna (2010–2015) BSc in Economics and Socioeconomics at Vienna University of Economics and Business (2006–2010) Her research spans social-ecological systems , emphasizing climate change adaptation , land use dynamics , and resilience in alpine and pre-alpine regions. She uses computational models to link farmer decision-making with environmental outcomes such as water quality and pollinator habitats . Recent work includes modeling multiple climate risks in biosphere reserves and analyzing time use for climate policy. Key trends from her publications (2018–2025) include integrating agent-based models with hydrological simulations (e.g., SWAT), assessing agroforestry trade-offs , and exploring socio-ecological resilience in mountainous regions. Themes like carbon sequestration , pollinator conservation , and policy co-creation recur in her work.

Bernhard Rengsمشاهده پروفایل

پژوهشگر

• Agent-Based Modelling
• Demography
• Population Economics
• +۵ مورد دیگر

Bernhard Rengs is a researcher affiliated with the Vienna Institute of Demography (VID), part of the Austrian Academy of Sciences. He previously served as Assistant Professor at the Institute for Mathematical Methods in Economics at Vienna University of Technology (2003–2014). His work bridges computer science and economics, focusing on computational agent-based models applied to demography, population economics, socio-economics, and forced migration. Education: Holds degrees in computer science and economics from Vienna University of Technology. Research interests include agent-based computational social simulation, evolutionary economics, and information visualization. Current projects address refugee migration patterns, socio-economic integration, and policy impacts using advanced computational methods. Selected Publications (2023–2013) focus on Ukrainian refugee self-selection, refugee family structures, climate policy modeling, and global value chains. His work combines empirical data analysis with agent-based modeling to address complex socio-economic challenges. No formal awards listed, but contributions to migration and computational demography are widely recognized. Collaborations include the Wittgenstein Centre for Demography and Global Human Capital, with interdisciplinary teams addressing demographic transitions, migration dynamics, and policy implications. His research emphasizes practical applications of computational models for understanding societal systems and informing evidence-based policies.

Johannes Scholzمشاهده پروفایل

استاد

• Geospatial Artificial Intelligence (GeoAI)
• Geospatial Knowledge Graphs
• Semantics and Ontologies in Geography
• +۱۲ مورد دیگر

Johannes Scholz is a Full Professor for Geoinformatics at the Department of Geoinformatics (Z_GIS) at Paris-Lodron-University Salzburg. He leads the GeoAI, GeoKG, and GeoSemantics research group and holds secondary roles in academic governance, including membership in the Curricularkommission Geographie at Salzburg and the Austrian Standards TC 084 committee. He has held visiting positions at the University of California, Santa Barbara, and prior affiliations include Associate Professor at Graz University of Technology and Senior Researcher at Research Studios Austria - Studio iSPACE. His research interests span geospatial artificial intelligence, knowledge graphs, semantics, and numerical optimization, with applications in energy transition, digital tourism, and cyber-physical systems. Projects include Agent-based simulation for energy systems GeoHumanities integration Indoor geography analysis Selected scientific awards include the ISPRS Outstanding Reviewer Award (2020) and the Forschungspreis der Steiermark (2011). He has secured significant funding for projects such as "Virtual Shepherd" (FFG 2024) and "ABM4EnergyTransition" (FFG 2022).

Nadiia Gumerovaمشاهده پروفایل

پژوهشگر

• Polyoxometalate chemistry
• Structural studies of inorganic complexes
• Ionic equilibria in aqueous solutions
• +۳ مورد دیگر

Nadiia Gumerova , PhD, is a researcher at the Institute of Biophysical Chemistry under the Faculty of Chemistry at the University of Vienna , Austria. Her work focuses on polyoxometalate chemistry, including targeted synthesis, structural analysis, and biomedical applications. She has published extensively on aqueous speciation, metal-substituted polyoxometalates, and their interactions with proteins and biological systems. PhD in Inorganic Chemistry (2014), Donetsk National University Post-doctoral fellow (2019–present), University of Vienna Lise Meitner fellow (2017–2019), University of Vienna Her research interests encompass polyoxometalate design, structural transformations in biological environments, and development of bioactive materials. Recent work includes studies on vanadate-protein interactions, antibiotic activity of Preyssler-type clusters, and enzyme inhibition by polyoxotungstates. Publications (15 most recent) highlight trends in polyoxometalate speciation under varying ionic strengths, biomedical applications of Anderson-Evans and Keggin-type derivatives, and structural insights into metal-substituted tungsten clusters. Keywords span Inorganic Chemistry , Biochemistry , and Materials Science . Grants include the FWF Meitner Program M2203 (2017–2019) and FWF Stand-Alone Project P33927 (2021–2023). She collaborates with the RompelLab and contributes to interdisciplinary projects applying inorganic chemistry in biological contexts.

• Neuroscience
• Pharmacology
• Toxicology
• +۱۱ مورد دیگر

Assoc.-Prof. Dr. Marietta Zille is an Associate Professor at the University of Vienna , Faculty of Life Sciences, Department of Pharmaceutical Sciences. She leads the Cerebrovascular Pharmacology research group, focusing on novel therapies for stroke, brain hemorrhage, vascular dementia, and brain aging. Her work integrates advanced technologies like deep learning and in vitro models to study neuronal and vascular cell death mechanisms. University of Vienna, Faculty of Life Sciences Department of Pharmaceutical Sciences Cerebrovascular Pharmacology & Toxicology Research Interests include: Neurodegenerative disease etiology Stroke and hemorrhage pathophysiology Blood-brain barrier aging Ferroptosis and necroptosis Marine bioactives for neuroprotection Her recent publications span axonal degeneration (2025), blood-brain barrier aging (2025), microglial activation (2025), and SARS-CoV-2 vascular pathology (2024). She supervises Master’s thesis projects in cell culture, in silico modeling, and cerebrovascular research. Grants include Austrian Academy of Sciences (2024-2027), Hochschuljubiläumsfonds (2023), and BMBF projects (2018-2019).

Rao Ziheمشاهده پروفایل

استاد

• Structural Biology
• Biophysics
• Virology
• +۳ مورد دیگر

Rao Zihe is a Professor at Tsinghua University since 1996 and holds leadership roles in structural biology and biophysics. He served as Director-General of the Institute of Biophysics (Chinese Academy of Sciences, 2003-2007), President of Nankai University (2006-2011), and Distinguished Adjunct Professor at ShanghaiTech University (2012-present). His work focuses on the molecular basis of infectious agents' pathogenicity. Key Research Areas: Structural Biology, Biophysics, Virology Scientific Awards : Member of Chinese Academy of Sciences (2003), Member of TWAS (2004), Honorary Doctorates (University of Glasgow, Hong Kong Baptist University), Trieste Science Prize (2006), Yangtze River Distinguished Scholar (1999), and multiple national Chinese awards. Leadership & Editorial Work : Founding President of the China Union of Life Science Societies, Editor-in-Chief of Protein & Cell (impact factor 10.16 in 2019), and former President of the International Union for Pure and Applied Biophysics (IUPAB, 2014-2017).

Ruitenberg E. Joostمشاهده پروفایل

استاد

• International Public Health
• Infectious Disease Control in Developing Countries
• Biomedical Sciences & Society
• +۳ مورد دیگر

Prof. E. Joost Ruitenberg is an Emeritus Professor of International Public Health at Utrecht University's Department of Biology and Society. He held leadership roles at the Dutch Red Cross' CLB-Sanquin (1989–2001) and the National Institute for Public Health and the Environment (RIVM, 1970–1986). His research bridges biomedical sciences and societal challenges, focusing on infectious disease control in developing countries and vaccine strategies. Education: PhD in Veterinary Science (Utrecht University, 1970) Research interests include global health equity, serology, and the intersection of science with public policy. Notable contributions include pioneering IL-2 and BCG therapies in veterinary oncology. Awards include membership in the Royal Dutch Academy (KNAW) and Academia Europaea. Awards: Member of KNAW (1985), Academia Europaea (1989) He advised on Ghanaian-Dutch health programs and chairs the Netherlands-Vietnam Medical Committee. His work integrates clinical research with global health governance, emphasizing evidence-based strategies for disease eradication.