جست‌وجوی استاد و پژوهشگر

Claus Lammمشاهده پروفایل

استاد

• Empathy
• Prosocial Behavior
• Social Neuroscience
• +۵ مورد دیگر

Claus Lamm is a Full Professor of Biological Psychology at the University of Vienna , where he leads the Social, Cognitive and Affective Neuroscience Unit (SCAN-Unit) . He serves as Vice Dean for Research and Advancement of Early Career Researchers at the Faculty of Psychology and holds affiliations with the Vienna Cognitive Science Hub , Environment & Climate Change Hub , and Austrian Academy of Sciences . His academic career spans international collaborations and formative research experience abroad. Scientific Focus: Lamm investigates the neural underpinnings of empathy and prosocial behavior , employing multi-modal approaches combining neuroimaging, psychopharmacology, and psychoneuroendocrinology . His work extends to comparative studies with ravens and dogs, and explores environmental social neuroscience through climate change decision-making research. Recent publications show trends in cross-cultural psychology , machine learning applications , and neurobiological pathways related to social behavior. Awards & Grants: Recipient of the APS Mentor Award for his support of early career researchers. Funded by European Research Council , Austrian Science Fund , Vienna Science and Technology Fund , and intramural grants exceeding €10 million. Key projects include "Unravelling the opioid system in empathy" and "Comparative dog-human fMRI" . Media Engagement: A prominent public science communicator, Lamm has appeared in Nature , Science Magazine , and Austrian media outlets like Ö1 Mittagsjournal and ORF2 , discussing topics from pandemic psychology to social media effects . He maintains active outreach through Science TV and educational programs .

Zhou Zhi-Huaمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۳ مورد دیگر

Zhou Zhi-Hua is a Professor at Nanjing University's Department of Computer Science & Technology, serving as Standing Deputy Director of the National Key Lab for Novel Software Technology and Founding Director of LAMDA (Institute of Machine Learning and Data Mining). He holds simultaneous fellowships from ACM, AAAI, AAAS, IEEE, IAPR, IET/IEE, and CCF, reflecting his exceptional contributions to computational intelligence. His educational background includes: B.Sc. in Computer Science from Nanjing University (1996) M.Sc. in Computer Science from Nanjing University (1998) Ph.D. in Computer Science from Nanjing University (2000) Zhou's research pioneers fundamental advances in machine learning theory and applications. His seminal work on ensemble methods established new frameworks for classifier combination, while innovations in multi-label learning and anomaly detection addressed critical challenges in complex data analysis. His research bridges theoretical rigor with practical implementations across diverse domains including biometrics, data mining, and computer vision, resulting in over 150 publications and 18 patents. His textbooks "Ensemble Methods" (2012) and "Machine Learning" (2016) have become standard references in the field. Analysis of his publication trajectory reveals sustained leadership in core machine learning challenges: evolving from neural network ensembles (2002) through semi-supervised learning breakthroughs (2005) to foundational work on multi-instance learning (2012) and theoretical margin analysis (2013). His recent focus demonstrates increasing sophistication in handling complex data structures while maintaining theoretical soundness. His scientific excellence is recognized through: National Natural Science Award of China (2013) PAKDD Distinguished Contribution Award (2016) IEEE ICDM Outstanding Service Award (2016) IEEE CIS Outstanding Early Career Award (2013) Microsoft Professorship Award (2006) Simultaneous fellowships from 7 major international societies Zhou provides extraordinary service to the academic community as Executive Editor-in-Chief of Frontiers of Computer Science and Associate Editor-in-Chief of Science China Information Science. He founded the ACML conference and has chaired premier events including ICDM'16 and PAKDD'14. His leadership extends to serving as General Chair for ICDM'16, Program Chair for IJCAI'15 Machine Learning Track, and Area Chair for multiple top conferences. The available text does not specify student advising details or research grants. He directs LAMDA research group at Nanjing University, which has established itself as a global powerhouse in machine learning research, and contributes significantly to the National Key Lab for Novel Software Technology's mission of developing next-generation intelligent systems.

• Data Visualization
• Visual Data Analysis
• Data Science
• +۳ مورد دیگر

Univ.-Prof. Torsten Möller, PhD is a Professor at the University of Vienna and serves as Head of the Research Group Visualization and Data Analysis and Head of the Research Network Data Science. His work spans data visualization, visual analytics, and human-computer interaction, with a focus on biomedical, environmental, and societal data applications. Academic rank: Professor Research group: Visualization and Data Analysis Network: Data Science Email: torsten.moeller@univie.ac.at Research interests include: Visual data analysis for complex systems Interdisciplinary applications in climate science and medicine Human-computer interaction in data exploration Image processing and computer graphics Recent publication trends show expertise in: Visualizing climate change and pandemic data Multi-volumetric and network analysis Algorithmic transparency and user-centered design Interdisciplinary collaborations (e.g., astrophysics, medical imaging) Statistical and uncertainty visualization Design frameworks for visualization recommendation Teaching includes courses in: Computer graphics and visualization Image processing and analysis Human-computer interaction Data analysis projects Doctoral research seminars

Gerald Prucknerمشاهده پروفایل

استاد

• Health Economics
• Behavioral Economics
• Aging Research
• +۴ مورد دیگر

Gerald Pruckner is a Professor at the Department of Economics, Johannes Kepler University Linz (JKU), where he serves as Head of the Institute of Health Economics and Dean of the Kurt Rothschild School of Economics and Statistics (RoSES). His academic career spans over three decades with significant leadership roles including heading the Christian Doppler Laboratory for Aging, Health, and the Labor Market (2014-2021), and serving on the board of the Austrian Health Economics Association (ATHEA). He teaches multiple courses including Introductory Microeconomics, Empirical Economics, and Health Economics for the 2025W semester. Pruckner earned his PhD in Economics from the University of Linz in 1993. His academic journey began as an Assistant Professor at JKU (1989-2002), followed by a Professorship at the University of Innsbruck (2002-2006), then returning to JKU as Associate Professor (2006-2010) before his current Professorship (since 2011). He has held visiting positions at the University of Adelaide and UC Berkeley. His research focuses at the intersection of health economics, behavioral economics, and aging, examining healthcare systems, physician behavior, and the relationship between labor markets and health outcomes. Recent work investigates hospital crowding effects, gender differences in medical practice, chronic disease screening effectiveness, and child health services. His research consistently applies economic principles to understand healthcare delivery with emphasis on the Austrian context, often utilizing register data for evidence-based policy insights. Analysis of Pruckner's publication trends shows a sustained focus on practical healthcare issues with policy relevance. His work spans hospital management challenges, gender differences in medical practice, chronic disease screening effectiveness, and child health services. The research consistently bridges academic inquiry with practical health policy applications, with increasing attention to pandemic impacts and digital transformation in healthcare. Board member of Austrian Health Economics Association (ATHEA) since 2015 Member of Health Economics Committee (Verein für Socialpolitik) since 2013 Deputy head of national research network 'The Austrian Center for Labor Economics and the Analysis of the Welfare State' (2008-2013) Head of Christian Doppler Laboratory for Aging, Health, and the Labor Market (2014-2021) Pruckner actively mentors graduate students through dissertation colloquia and master's thesis supervision. His research portfolio includes 23 projects with significant funding, including current work on health services research in Upper Austria and empirical analysis of Linz healthcare provision. As Dean of RoSES and Head of the Health Economics Institute, he provides institutional leadership while maintaining an active research agenda with over 100 publications. He leads multiple research teams focused on health services research, with current projects examining healthcare provision in Linz, health indicators for the region, and broader health system analysis. His work bridges academic research and practical health policy applications through collaborations with regional health authorities and participation in professional associations.

Borivoje Dakicمشاهده پروفایل

دانشیار

• Quantum Information Theory
• Quantum Foundations
• Quantum Tomography
• +۵ مورد دیگر

Dr. Borivoje Dakic is an Associate Professor at the University of Vienna , affiliated with the Faculty of Physics and the Quantum Optics, Quantum Nanophysics and Quantum Information department. His research spans foundational and applied aspects of quantum theory. Operational reconstruction of quantum formalism Quantum interference as a resource for communication Tomography of large-scale quantum systems Macroscopic quantum phenomena His work includes scalable verification techniques for quantum devices and collaborations with experimental teams like Philip Walther’s and Markus Aspelmeyer’s groups. He received the Marko Jarić Prize (2025) for his contributions. Recent projects focus on diagnostics of quantum devices (FWF BeyondC SFB), information-theoretic foundations of quantum interference (FWF P36994), and local operations in quantum field theory (Cluster of Excellence QuantA). His research on quantum coherence in networks and macroscopic entanglement challenges traditional assumptions about quantum-classical boundaries. Publications emphasize resource-efficient tomography, device-independent verification, and foundational frameworks for quantum statistics and field theory. Teaching: Quantum Information (2025W), Theory in Quantum Optics (2025S), VCQ Summerschool Labs: Dakić Group at University of Vienna

• Neuroscience
• Imaging (MRI & PET)
• Dopamine
• +۳ مورد دیگر

Lars Nyberg is a Professor of Neuroscience at Umeå University's Medical Faculty and Director of the Umeå Centre for Functional Brain Imaging (UFBI) since 2001. He has held concurrent roles as Guest Professor in Bergen and Oslo, Norway, and led the Wallenberg Centre for Molecular Medicine (WCMM) from 2019. His academic leadership includes directing major initiatives like the EU-funded Lifebrain project (2017–2022) and holding the Torsten & Ragnar Söderberg Research Professorship in Medicine (2012–2017). Education: PhD in Psychology (1993) and Docent (1996) from Umeå University, with postdoctoral training at the Rotman Research Institute, Toronto. His research focuses on neuroimaging techniques (MRI/PET), dopamine systems, working memory, aging, and episodic memory. Key contributions include linking dopamine receptor availability to cognitive decline and demonstrating brain maintenance mechanisms in aging. Research Interests: Neuroimaging of memory systems, dopamine's role in cognition, aging-related brain changes, and cognitive reserve. Grants: EU Horizon 2020 (Lifebrain, €10M), KA Wallenberg Scholarships (2009, 2016), Swedish Research Council funding for COBRA (2013–2017). His awards include Royal Swedish Academy of Sciences membership (2008), Mångbergs Prize in Neural Sciences (2008), and multiple Wallenberg grants. Nyberg has supervised 27 PhD students and 11 postdocs, advancing translational neuroscience and aging research through interdisciplinary teams at UFBI and WCMM.

• Atmospheric Science
• Climate Dynamics
• Meteorology
• +۳ مورد دیگر

Univ.-Prof. Aiko Voigt is a Professor and Head of the Department of Meteorology and Geophysics at the University of Vienna. Her research focuses on climate dynamics, cloud physics, and atmospheric processes. She leads the Environment and Climate Research Hub and teaches advanced courses like 'Climate Modelling Lab' and 'Cloud Physics.' Her work explores cloud-radiative interactions, climate change impacts, and extreme weather dynamics. Recent studies analyze energy imbalances, high-cloud feedbacks, and tropical precipitation patterns. Voigt's contributions bridge climate modeling with observational data, emphasizing high-resolution simulations and interdisciplinary approaches. Teaching includes courses such as 'Climate System of the Earth,' 'Scientific Communication,' and 'Introduction to Computational Meteorology.' Her research spans from present-day climate to Snowball Earth scenarios, addressing both modern and paleoclimatic challenges. Publications highlight advancements in radiative transfer algorithms, cyclone dynamics under warming, and uncertainties in climate model predictions. Her work underscores the critical role of clouds in amplifying climate sensitivity and reshaping atmospheric circulation patterns.

Rudolf Winter-Ebmerمشاهده پروفایل

استاد

• Labour Economics
• Demography
• Gender Economics
• +۱۱ مورد دیگر

Rudolf Winter-Ebmer is a Full Professor of Labour Economics at Johannes Kepler University (JKU) Linz, Austria, and a Research Professor at the Institute for Advanced Studies (IHS) in Vienna. He is affiliated with the Centre for Economic Policy Research (London), the Institute for the Future of Labor (IZA, Bonn), and the Centre for the Economics of Migration (UCL). He holds a PhD in Economics from the University of Linz. He has held visiting positions at institutions including the University of California, Berkeley, and has received offers for Full Professorships at Graz, Vienna University of Economics, and NUI Maynooth. He has consulted for the World Bank, Austrian Ministries, and the Vienna Institute for Economic Research. His research focuses on applied labor economics, including immigration, wage determination, ageing, unemployment, discrimination, education economics, empirical industrial organization, gender economics, and demographic research. He leads major initiatives such as the Austrian Christian-Doppler Laboratory for Ageing, Health, and the Labor Market and serves as Austrian country team leader for the SHARE survey. Awards: Maria-Schaumayer Research Prize (1995), Novartis Science Prize (1997), Theodor-Körner Prize (2000), Voestalpine Science Prize (2003), Morgenstern-Award (2010), and membership in the German Academy of Sciences (Leopoldina). Leadership Roles: President of the Austrian Economic Association (2021–2023), former Chair of the National Research Network on Austrian Labor Economics (2008–2014). His work is widely cited (Google Scholar: 8,800 citations, h-index 44), with publications in top journals like the American Economic Review and Journal of Labor Economics.

Senad Bećirovićمشاهده پروفایل

استاد

• Artificial Intelligence in Education
• Digital Technologies in Education
• Intercultural Education
• +۳ مورد دیگر

Senad Bećirović serves as a full Professor at the University of Education Lower Austria (Pädagogische Hochschule Niederösterreich), having progressed from assistant professor (2014) to associate professor (2017) before attaining his current rank in 2023. His academic career spans teaching research methodology, pedagogy, and advanced statistics across undergraduate, graduate, and doctoral programs at international institutions, delivered through both online and in-person formats. Bećirović's research focuses primarily on Artificial Intelligence and digital technologies in education , with significant contributions to intercultural education , gifted education , and foreign language pedagogy . His work demonstrates a consistent trajectory toward understanding how emerging technologies reshape educational practices and outcomes. Through four books published by Springer and Nova Science and over 60 articles in top-tier journals, he has established himself as a leading voice in digital educational transformation. His recent publications (2023-2025) reveal a pronounced emphasis on AI applications in education, with multiple studies examining AI literacy, policy frameworks, and implementation strategies across European higher education contexts. This research demonstrates both theoretical depth and practical relevance to current educational challenges. Bećirović actively contributes to the scholarly community as editor and reviewer for numerous Q1 journals including Smart Learning Environments (Springer), Education and Information Technologies (Springer), and TESOL Quarterly (Wiley). He participates in multiple European Commission-funded initiatives such as ENRICH (Enhancing Teaching and Research through Innovative Digital Technologies) and Erasmus+ projects focused on peace learning and English education. His professional activities extend to international collaboration through membership in the European Network Ethical Use of AI and the American Educational Research Association (AERA). He frequently delivers keynote addresses at international conferences, sharing expertise on AI in education, digital transformation, and intercultural competencies.

Giles Foodyمشاهده پروفایل

استاد

• Citizen science
• Geographical information science
• Remote sensing
• +۳ مورد دیگر

Giles Foody is a Professor of Geographical Information Science at the School of Geography, University of Nottingham, and a member of the Rights Lab in the Faculty of Social Science. He is recognized as the UK’s most prolific and highly cited researcher in remote sensing, with a focus on interdisciplinary applications for real-world impact. Education: BSc (1st class honours) and PhD from the University of Sheffield. His research spans image classification for thematic mapping, particularly in land cover and human-induced changes. He pioneered soft image classifications, object-based methods, neural networks in remote sensing, and citizen sensors in mapping. Current projects include 'slavery from space' and Sargassum beaching analysis to meet UN SDGs. The trends in his publications highlight advancements in remote sensing, citizen science, and land cover mapping. His work integrates machine learning and geospatial analysis for social and environmental challenges. Scientific awards: IEEE Fellowship, David Landgrebe Award, Founder's Award (ISARA), multiple RSPSoc accolades, and SDG-related honors. Giles has supervised 51 research students and contributed to academic service via editorial roles, peer review leadership, and participation in national research assessment panels. His interdisciplinary work extends to European National Mapping Agencies and anti-slavery initiatives.

• Financial Mathematics
• Stochastic Processes
• Credit Risk Modeling
• +۳ مورد دیگر

Assoc. Prof. Zehra Eksi-Altay holds a position at the Institute for Statistics and Mathematics at Vienna University of Economics and Business (WU). Her research focuses on financial mathematics, stochastic modeling, and partial information control problems in finance. She has expertise in credit risk modeling, derivatives pricing, and commodity markets. Eksi-Altay has a PhD in Financial Mathematics (2011) and completed her Habilitation in 2017. She has advised one doctoral thesis and has published extensively in top-tier journals like Quantitative Finance and Journal of Computational and Applied Mathematics . Her work bridges theoretical advancements with practical applications in areas such as regime-switching models, optimal portfolio strategies, and liquidity analysis. Education: BSc, MSc (2005), PhD (2011) Habilitation: 2017 Key Research Themes: Partial Information Models, Stochastic Control, Credit Risk, Algorithmic Trading Her recent work explores regime-switching affine term structures, optimal trading strategies under uncertainty, and dark pool liquidity analysis. Eksi-Altay has received one academic prize, though its specific name is not detailed in the provided text. Her contributions span both theoretical developments and applied finance, often collaborating with institutions like WU’s Institute for Statistics and Mathematics.

Mathias Beiglboeckمشاهده پروفایل

استاد

• Optimal Transport
• Martingale Theory
• Mathematical Finance
• +۴ مورد دیگر

Mathias Beiglboeck is a Professor at the Faculty of Mathematics, University of Vienna. His research spans Probability, Optimal Transport, and Mathematical Finance, with a focus on martingale constraints and stochastic modeling. Doctorate in Mathematics (2004, TU Vienna) Diploma in Mathematics (2003, TU Vienna) His work bridges geometric and probabilistic methods in finance, addressing problems like the Skorokhod Embedding, Weak Martingale Transport, and applications to financial institutions. Preprints and publications highlight advancements in Wasserstein distances, causal transport, and stability analysis under martingale constraints. Notable projects and awards include the OeNB-Anniversary-Fund Project (2024-), FWF-Project on Mimicking Processes (2022-), a START-Prize (2014-2022), and early recognition for his Master's thesis (2003). Teaching roles at University of Vienna and TU Vienna cover Stochastic Processes, Financial Mathematics, and Mathematical Finance courses. 2024: OeNB-Anniversary-Fund Project 18983 (250,000 EUR) 2023: Mentor in Daniel Bartl's Esprit-Project (280,000 EUR) 2022: FWF-Project on Mimicking Processes (400,000 EUR) 2014-2022: START-Prize (1,000,000 EUR) 2012: Austrian Mathematical Society Prize 2003: Best Master's Thesis Award, Austrian Mathematical Society His research trends integrate adapted Wasserstein distances, disease modeling, and financial applications, with collaborations across institutions like TU Vienna, Bonn University, and MSRI Berkeley. Grants emphasize geometric and entropic transport methods in finance and public health contexts.

• Probability Theory
• Statistical Mechanics
• Random Walks
• +۳ مورد دیگر

Dr. Quirin Thomas Simon Vogel is a Senior Lecturer at the Department of Statistics, University of Klagenfurt. He previously held postdoctoral positions at the Technical University of Munich, New York University Shanghai, and served as an Interim Professor at Ludwig-Maximilians University of Munich. His research bridges probability theory with statistical mechanics and algorithmic applications. Current role: Senior Lecturer (2025) Previous roles: Postdoc (TUM, NYU Shanghai), Interim Professor (LMU Munich) His research focuses on: Random walks and their geometric/stochastic properties Randomized algorithms with applications in statistical models Quantum-inspired probabilistic systems (e.g. interacting bosonic loop soups) Large deviation theory for complex systems Percolation and phase transitions in particle models The articles reflect trends in probability theory, mathematical physics, and algorithmic applications. Key topics include high-dimensional percolation, Bose gas models, neural network theory, and stochastic geometry. The work combines rigorous mathematical analysis with interdisciplinary applications in physics and computer science. Scientific awards and functions cannot be determined from the provided data, as they describe other researchers. The department's research activities include projects on statistical learning, quantum models, and algorithmic probability, though Vogel's direct involvement in these specific funded projects isn't explicitly stated.

Vikram Deshpandeمشاهده پروفایل

استاد

• Mechanobiology
• Solid mechanics
• Data-driven mechanics
• +۴ مورد دیگر

Vikram Deshpande is a Professor in the Department of Engineering at the University of Cambridge, UK, where he has been employed since 2010. He also maintains significant international connections, having served as a Visiting Professor at the Technical University of Eindhoven (2009-2017) and previously holding positions at the University of California, Santa Barbara and Brown University. His research spans multiple disciplines within solid mechanics and materials science, focusing on fundamental mechanisms that govern material behavior across different scales. His research interests encompass Mechanobiology , where he explores cellular organization mechanisms; Solid mechanics with applications to impact and failure; Data-driven mechanics approaches; Microarchitectured solids including mechanical metamaterials; Fluid-structure interaction in impact scenarios; Chemo-mechanics of battery materials; and Dislocation mechanics for understanding material deformation. His work uniquely bridges fundamental physics with practical engineering applications, particularly in developing materials with tailored mechanical properties. The analysis of his recent publications reveals a strong focus on mechanical metamaterials, cellular mechanics, and electro-chemo-mechanical phenomena in energy storage systems. His research demonstrates a consistent pattern of addressing fundamental scientific questions while maintaining strong connections to practical engineering applications, particularly in materials design, protective systems, and energy technologies. His publications frequently combine experimental approaches with sophisticated modeling techniques across multiple scales. 2024 Zdeněk P. Bažant Medal for Failure and Damage Prevention 2023 Fellow, Royal Academy of Engineering and International Member US National Academy of Engineering 2022 Warner T. Koiter Medal and William Prager Medal 2022 European Research Council (ERC) Advanced Grant 2021 Gili Agostinelli Prize and IIT Bombay Distinguished Alumnus Award 2020 Fellow, Royal Society of London and Rodney Hill Prize Professor Deshpande has served on numerous editorial boards including the Journal of the Mechanics and Physics of Solids (current Associate Editor), Modelling and Simulation in Materials Science and Engineering, and Proceedings of the Royal Society A. He chairs the Royal Society Sectional Committee 4 and serves on the Advisory Board of the European Mechanics Society EUROMECH. His leadership extends to directing the International Conference on Fracture and chairing the EUROMECH Mechanics of Materials Conference committee. His research group at Cambridge, accessible through cambridgesolidmechanics.co.uk, focuses on developing fundamental understanding of material behavior to enable the design of next-generation engineering materials.

Viktoria HSE Robertsonمشاهده پروفایل

استاد

• Antitrust Law
• Digitalization
• EU Competition Law
• +۳ مورد دیگر

Prof. Viktoria HSE Robertson is a Professor of Corporate Law, Antitrust Law, and Digitalization at Vienna University of Economics and Business (WU Vienna), where she also serves as Head of the Department of Antitrust Law and Digitalization. Her research focuses on European and international antitrust law, digitalization's impact on competition, and comparative legal frameworks. She teaches courses such as *Corporate Law*, *Competition, Antitrust and Intellectual Property Law*, and *Competition Law in the Digital Economy*, emphasizing digital markets and regulatory challenges. Her work bridges antitrust law with digital innovation, addressing topics like algorithmic pricing, data governance, and the role of competition law in safeguarding democracy. Robertson is affiliated with organizations such as the Academic Society for Competition Law and the Women in Competition Law Network Austria. Her recent research includes studies on DMA implementation, computational antitrust, and green transition policies within EU competition frameworks. Robertson holds degrees including Mag. (Austria), MJur (Oxford), and has authored books like *Competition Law’s Innovation Factor: The Relevant Market in Dynamic Contexts in the EU and the US*. Her interdisciplinary approach integrates legal analysis with technological and economic considerations, shaping modern competition law discourse globally.