جست‌وجوی استاد و پژوهشگر

Katja Hoseمشاهده پروفایل

استاد

• Knowledge Graphs
• Semantic Web
• Data Management
• +۷ مورد دیگر

Katja Hose is a Full Professor of Data Management at TU Wien's DBAI research unit, heading the Data Management and Knowledge-Driven AI Lab. She previously held a Poul Due Jensen Foundation Professorship at Aalborg University. Her research focuses on data and knowledge engineering, including graph databases, knowledge graphs, querying, analytics, and machine learning, with interdisciplinary applications in bioscience, healthcare, and environmental assessment. Education: PhD in Computer Science (Ilmenau University of Technology, 2009), Postdoc at Max Planck Institute for Informatics (2009–2012). Academic roles include Program Co-Chair for ISWC 2024 and EDBT 2023, and editorial board membership at VLDBJ and TGDK. She leads projects like TARGET (health virtual twins) and ARMADA (data management). Research Interests: Knowledge Graphs, Semantic Web, Big Data, Machine Learning, Data Integration, and Provenance Systems. Key contributions include SHACL shape extraction, conversational data analytics, and environmental knowledge graphs. Awards include the 2025 Distinguished Meta-Reviewer Award and 2024 Manfred Paul Award. Advising and Grants: Supervised students including E. Pürmayr (Diploma Thesis 2025). Active in EU projects (TARGET, ARMADA) and grant coordination. Labs/Teams: DMKI Lab at TU Wien, collaborating with interdisciplinary teams in healthcare and environmental science.

• Data Visualization
• Human-Computer Interaction
• Big Data Analytics
• +۱۳ مورد دیگر

Huamin Qu is a Chair Professor in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST). He serves as the Founding Dean of the Academy of Interdisciplinary Studies (AIS), Founding Head of the Division of Emerging Interdisciplinary Areas (EMIA), and was the Founding Acting Head of Computational Media and Arts (CMA) at HKUST(GZ). Qu directs the VisLab and coordinates the Human-Computer Interaction (HCI) group. He obtained his BS in Mathematics from Xi'an Jiaotong University and MS/PhD in Computer Science from Stony Brook University. Qu's research integrates Data Visualization , Human-Computer Interaction , and Human-Centered AI , with applications in urban informatics, social networks, and explainable AI. His work focuses on developing interactive systems for big data analytics, visual storytelling, and AI-driven decision support. Research extends to multimodal communication, fintech, and augmented reality applications. His publications emphasize visual analytics for complex datasets (mobility, social media, financial), interaction techniques for immersive environments, and AI-enhanced visualization tools. Recent works explore explainable AI interfaces and large-scale data communication frameworks. IEEE Visualization Academy (2020) IEEE VGTC Technical Achievement Award AI 2000 Most Influential Scholar (2019, 2023, 2024) 21 Best Paper/Honorable Mention awards IBM Faculty Award (2009) APICTA Merit Award (2015) Yelp Dataset Grand Prize (2018) Qu has advised 48 PhD graduates (21 now faculty at institutions like UC Davis, University of Minnesota, Texas A&M) and 30 MPhil students. He secured major grants including RGC theme-based projects (digital citizenship, air pollution), UGC AoE (slope safety), and China's 973 Program. As VisLab director, he leads 20+ researchers in visualization/HCI projects adopted by Microsoft, IBM, Huawei, and Tencent.

Kurt Johanssonمشاهده پروفایل

استاد

• Probability Theory
• Mathematical Physics
• Random Matrix Theory

Kurt Johansson is a Full Professor of Mathematics at KTH Royal Institute of Technology, Sweden. His academic journey includes roles as Associate Professor at KTH (1993-2001) and Uppsala University (1988-1993), alongside research funded by the Swedish Natural Science Research Council (1998-2003). His primary affiliations are within the Department of Probability, Mathematical Physics & Statistics at KTH, where he also coordinates courses on Differential Equations and Fourier Analysis. Education: BSc in Physics (1982) and PhD in Mathematics (1988), both from Uppsala University. Research interests focus on Probability Theory , Mathematical Physics , and Random Matrix Theory , with contributions to stochastic models, determinantal processes, and universality in statistical mechanics. Key Awards: Wallenberg Prize (1995), Rollo Davidson Prize (2000), Göran Gustafsson Prize (2002), Fellow of the American Mathematical Society (2012), and multiple Wallenberg Scholar grants (2011-2023). Grants: Major funding from the Swedish Research Council (VR), K&A Wallenberg Foundation, and others. His research group explores Random Matrices, Stochastic Models, and Analysis , with notable work on the Arctic Circle Theorem and KPZ universality class. Recent publications analyze Brownian directed percolation and domino tilings of the Aztec diamond, reflecting his focus on interdisciplinary applications of probability and mathematical physics.

Francesco Locatelloمشاهده پروفایل

استادیار

• Causal Learning
• Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Francesco Locatello is a tenure-track Assistant Professor at the Institute of Science and Technology Austria (ISTA), leading the Causal Learning and Artificial Intelligence lab. He is also an AI Resident at the Chan Zuckerberg Initiative. He holds a PhD from ETH Zürich, co-advised by Gunnar Rätsch and Bernhard Schölkopf. His research focuses on causal representation learning, score matching, and object-centric learning, with applications in machine learning and AI. His work has been recognized with prestigious awards, including the ICML 2019 Best Paper Award and the Hector Foundation Award (2023). Education: PhD in Machine Learning, ETH Zürich (advisors: Gunnar Rätsch, Bernhard Schölkopf) Research Interests: Causal Learning, Causal Representation Discovery, Score Matching Algorithms, Object-Centric Learning, Robust Generalization in AI, and Applications in Vision and Reinforcement Learning. Recent Work Trends: His publications emphasize causal mechanisms in neural representations, scalable causal discovery methods, and improving model generalization through latent space analysis. Recent studies explore geometric representations, mechanistic neural networks, and OOD detection using relative angles. Awards: ICML 2019 Best Paper Award Hector Foundation Award for Outstanding Achievements in Machine Learning (2023) Google Research Scholar Award (2024) Advising & Teams: Supervises a dynamic lab with students and postdocs across ISTA, ELLIS, and partner institutions. Notable advisees include Dingling Yao (ISTA), Riccardo Cadei (co-advised with Cordelia Schmid), and Marco Fumero (now a postdoc at ISTA). Collaborates with leading researchers like Arthur Gretton, Max Welling, and Volkan Cevher. Labs & Initiatives: Leads the Causal Learning and AI lab at ISTA, contributing to ELLIS programs and fostering interdisciplinary collaborations in causal AI.

Emanuel Sallingerمشاهده پروفایل

استاد

• Information Systems Engineering
• Computational Logic
• Scalable Artificial Intelligence
• +۸ مورد دیگر

Emanuel Sallinger is a Full Professor at TU Wien's Databases and Artificial Intelligence Group and Vice Dean of Academic Affairs for Business Informatics and Data Science. He leads the Knowledge Graph Lab, focusing on scalable knowledge-based systems, reasoning in knowledge graphs, and AI integration. His research spans computational logic, database theory, and blockchain applications. Education: PhD in Computer Science (awarded 'sub auspiciis praesidentis rei publicae'), Master's degrees in Computational Intelligence and Informatics Management, and a Bachelor's in Software and Information Engineering. Research Interests: Knowledge graphs (construction, reasoning, scalability), logic-based systems, AI/ML integration with databases, enterprise architecture modeling, and financial knowledge systems. His work emphasizes practical applications like enterprise modeling, sustainable waste management, and regulatory compliance. Grants & Projects: Lead Vienna Science and Technology Fund (WWTF)-funded Knowledge Graph Lab. Involved in projects like 'Knowledge Graph-driven Tour Management' (sustainability), 'SustainGraph' (waste processing), and 'Enterprise Architecture Knowledge Graphs'. Teaching: Offers courses on Knowledge Graphs, Generative AI, Database Systems, and research methodology. Supervises doctoral and master's students in AI, databases, and knowledge representation. Labs/Teams: Knowledge Graph Lab at TU Wien, collaborating with industry on blockchain-based systems, financial AI, and enterprise architecture frameworks.

Gabriella Giannachiمشاهده پروفایل

استاد

• Performance and New Media
• Art and Technology
• Mobile Interpretation and User-Generated Documentation
• +۵ مورد دیگر

Gabriella Giannachi is Professor of Performance and New Media and Director of the Centre for Intermedia at the University of Exeter's Faculty of Humanities, Department of English. She leads interdisciplinary collaborations between artists, academics, and scientists to advance research in performance and digital arts. Her educational background includes: BA in Modern Languages and Literatures from Turin University's Faculty of Letters and Philosophy PhD in English from Cambridge University, researching silence in modern European Drama with Trinity Hall scholarship Giannachi's research pioneers performance documentation in mixed reality environments, examining how digital archives function as mobile interpretation hubs for cultural engagement. She investigates mobile user-generated documentation's role in knowledge production, museum visitor dynamics, memory formation, and identity construction within ecological and heritage contexts, with significant focus on copyright and accessibility implications. Her publication trends reveal consistent exploration of presence theory across physical-digital boundaries, with award-winning CHI conference papers (2009-2013) and books like 'Performing Mixed Reality' (2011) establishing frameworks for understanding mixed reality performance, environmental art, and digital heritage preservation. Her scientific recognition includes: Three consecutive CHI Best Paper Awards (2009, 2012, 2013) Theatre Library Association Book Award nomination for 'Performing Presence' (2012) Royal Society of Arts Fellowship nomination (2012) While specific advisees aren't documented, her research partnerships demonstrate extensive collaborative supervision across institutions including Tate, Imperial War Museum, British Library, and Stanford Libraries, securing projects that integrate artistic practice with scientific research. As Centre for Intermedia Director, she cultivates experimental teams investigating how digital archives transform cultural engagement through mobile platforms, particularly in environmental contexts via partnerships with Met Office Hadley Centre and Ludwig Boltzman Institute.

Julia Gebkeمشاهده پروفایل

پژوهشگر

• Early Modern Period
• Cultural History of Politics and Diplomacy
• Gender History
• +۳ مورد دیگر

Dr. Julia Gebke is a Researcher at the Department of History within the Historical-Cultural Faculty of the University of Vienna. She currently holds the Elise Richter Fellowship from the Austrian Science Fund (FWF), leading the project "Habsburg Women in Dynastic Politics and Diplomacy." Education : B.A., M.A., Ph.D. in History (University of Graz, 2015) Her research spans the Early Modern Period, focusing on Cultural History of Politics and Diplomacy, Gender History, History of Science, and DisAbility Studies. She explores the intersection of body politics in Habsburg diplomacy and the stigmatization of marginalized groups in Early Modern Spain. Key publications include groundbreaking work on disAbility in Early Modern Europe and analyses of Habsburg women's roles in dynastic networks. She co-founded the DisAbility Studies research group at the University of Vienna in 2019. Scientific Awards : Elise Richter Fellowship (FWF, 2021) Dr. Gebke's lab and team collaborations include the DisAbility Studies research group and interdisciplinary partnerships across European institutions, emphasizing societal dynamics in historical contexts.

Paradis Caritaمشاهده پروفایل

عضو هیئت علمی

• Cognitive Linguistics
• Discourse Analysis
• Semantics
• +۷ مورد دیگر

Carita Paradis is a Professor Emerita at Lund University's Centre for Languages and Literature, specializing in English Linguistics. She holds a PhD from Lund University (1997) and has held leadership roles including Chair of the Swedish Research Council's Linguistics panel (2010–2015). She coordinates the Language, Cognition and Discourse@Lund (LCD@L) research group, focusing on discourse meaning, language acquisition, and sociocultural variation. Her research spans cognitive linguistics, discourse analysis, semantics, and sensory language. She has authored/co-authored over 100 refereed publications, 5 books, and edited 10 journal volumes. Awards include membership in Academia Europaea (2016) and leadership roles in Scandinavian linguistic associations. She has supervised 14 PhD students and 8 postdocs, taught at all academic levels, and participated in numerous national/international research projects. Her editorial roles include serving on Cognitive Semantics, Languages, and Human Cognitive Processing series.

Martina Löwمشاهده پروفایل

استاد

• Sociological Theory
• Urban Sociology
• Space Theory
• +۱ مورد دیگر

Prof. Dr. Martina Löw is a Professor of Sociology at Technische Universität Berlin, holding the Chair of Sociology of Planning and Architecture. She serves as head of the DFG-funded Collaborative Research Centre SFB 1265 "Re-Figuration of Spaces" and previously held leadership roles including President of the German Sociological Association (2011-2013) and professorship at Technical University Darmstadt. Löw's research centers on the dynamic interplay between social structures and spatial configurations, with expertise in sociological theory, urban sociology, space theory, and cultural sociology. Her theoretical framework of "re-figuration of spaces" examines contemporary spatial transformations driven by globalization, digitalization, and migration, emphasizing how urban environments shape and are shaped by social practices. Her publication trajectory from 2001-2020 reveals consistent focus on spatial sociology, evolving from foundational work on space construction to current analyses of urban inequality, experiential city dynamics, and commons management within re-figurative contexts. Key thematic threads include spatial uncertainty, shared meaning production, and governance of interconnected urban systems. Scientific Awards: Christian-Wolff prize from Martin-Luther-University Halle-Wittenberg for habilitation thesis "Raumsoziologie/Sociology of Space" Research Leadership: Löw directs the major DFG Collaborative Research Centre SFB 1265 and previously coordinated the LOEWE focus "Intrinsic Logic of Cities," securing substantial funding from German research foundations. Her work supports interdisciplinary investigations into spatial dynamics across urban, digital, and global scales. Research Environment: As SFB 1265 head, Löw leads a large multi-institutional consortium examining contemporary spatial re-figuration. The center integrates urban studies, sociology, and planning perspectives to address challenges including social inequality and sustainable spatial development in rapidly changing environments.

• 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.

Johannes Brandstetterمشاهده پروفایل

دانشیار

• Machine Learning
• Deep Learning
• Geometric Deep Learning
• +۵ مورد دیگر

Johannes Brandstetter is an Associate Professor at the Institute for Machine Learning at Johannes Kepler University Linz (JKU) where he leads the "AI for data-driven simulations" research group. He is also Co-founder and Chief Scientist at Emmi AI, bridging academic research with industrial applications in AI-driven physics simulation. Brandstetter earned his PhD after working at CERN's CMS experiment on Higgs boson physics. In 2018, he transitioned to machine learning, joining Sepp Hochreiter's research group in Linz. From 2021-2023, he worked at the Amsterdam Machine Learning Lab under Max Welling and Microsoft Research, developing expertise in Geometric Deep Learning and neural surrogates for partial differential equations. He returned to JKU in October 2023 to establish his own research group. His research spans Machine Learning, Deep Learning, and Physics-Informed Machine Learning with focus areas including Neural PDE solvers, Computational Fluid Dynamics, and Climate Modeling. Brandstetter believes AI is poised to revolutionize industrial-scale simulations, potentially saving thousands of compute hours across engineering domains. His work integrates computer vision, numerical simulation, and engineering components to advance data-driven approaches. Recent publications reveal a strong trend toward foundation models for scientific applications, particularly in atmospheric modeling (Aurora), geometric deep learning, and neural surrogates for complex physical systems. His interdisciplinary work spans computer vision, climate science, computational physics, and engineering, demonstrating the versatility of his research approach. Principal Investigator for "AlKa-DL: Alpine karst spring discharge prediction" (FWF-funded, 2024-2027) Principal Investigator for Cluster of Excellence "Bilateral Artificial Intelligence" (FWF-funded, 2024-2029) Co-PI for "Fast, efficient and flexible CFD simulation through generative AI" (FFG-funded, 2025-2026) As an educator and researcher, Brandstetter actively engages with the scientific community through invited talks at major conferences including presentations on "Closing the Gap Between Scientific Foundation Models and Real-World Applications" (March 2025) and "Scientific Machine Learning for Science and Engineering" (February 2025).

Catherine Grantمشاهده پروفایل

استاد

• Essay filmmaking
• Latin American cinemas
• Videographic film studies
• +۷ مورد دیگر

Catherine Grant is an Honorary Professor at Aarhus University, Denmark, and Visiting Senior Research Fellow at the University of Reading, UK. She previously served as Professor of Digital Media and Screen Studies at Birkbeck, University of London (2017–2020), and held academic roles at institutions including the University of Sussex and University of Kent. Her research focuses on videographic criticism, essay filmmaking, Latin American cinemas, and screen studies methodologies. Grant earned a PhD in Mexican literature and feminist theory from the University of Leeds (1991) and a First Class B.A. in Modern Languages (1986). She pioneered the use of audiovisual essays in film studies, co-founding and editing the award-winning [in]Transition: Journal of Videographic Film and Moving Image Studies until 2024. Her work explores film authorship, found-footage techniques, and digital media practices. Her research interests span essay filmmaking, world cinema, and the intersection of theory and practice in film studies. Over 200 of her video essays have been showcased globally, emphasizing experimental methodologies and critical engagement with cinematic form. Grant has received the Society for Cinema and Media Studies Award of Distinction (2014–2015). She co-edited significant volumes on world cinema, Latin American cinema, and videographic criticism, and maintains influential platforms like Audiovisualcy and Film Studies For Free .

Rose-Anne Gushمشاهده پروفایل

استادیار

• Political Aesthetics
• Global Art
• Transnational Surrealism
• +۹ مورد دیگر

Rose-Anne Gush is an Assistant Professor at the IZK Institute for Contemporary Art, TU Graz. She is an art historian, theorist, and educator with a focus on political aesthetics, transnational surrealism, and critical engagements with capitalism and gender. Academic Affiliations: TU Graz (IZK), University of Leeds, University College London, University of Applied Arts Vienna Key Research Areas: Political Aesthetics, Global Art, Extractive Capitalism, Feminist Theory, Trauma and Memory Her research explores how art navigates the spatial and temporal dimensions of capitalist modernity, with projects like The Work of Art in the Age of the Planetary Mine (2025) and collaborations with Philipp Sattler on lithium extraction. Her articles in FKW , Third Text , and Performance Research interrogate intersections of body, violence, and historical memory. Scientific awards include the Juliane and Franz Roh Post-Doctoral Fellowship (2020) and a DFK Paris Research Grant (2021). Her teaching spans universities in Europe and the UK, including Slade School of Fine Art and University of Leeds.

Ganteau Jean-Michelمشاهده پروفایل

استاد

• Ethics in Literature
• Aesthetics (Baroque, Kitsch, Camp)
• Trauma Studies
• +۶ مورد دیگر

Jean-Michel Ganteau is a Full Professor of Contemporary British Literature at the University of Montpellier 3, France. He has held leadership roles including Chair of the Department of Anglophone Studies (2006–2010), Director of the MA Programme in Modern Languages (since 2011), and Head of Doctoral School 58 (since 2010). He is Editor of Études britanniques contemporaines and co-editor of the 'Present Perfect' series. His research focuses on ethics in literature, aesthetics (baroque, kitsch, camp), trauma studies, and contemporary British fiction. Notable awards include the Exceptional Class Professorship (2013) and Scientific Excellence Prize (2011). His editorial roles include membership in the management board of University Presses of Montpellier and scientific board of Presses Universitaires de la Méditerranée. He has coordinated research teams like CERVEC (2004–2010) and authored monographs on vulnerability in literature and Peter Ackroyd’s work. His publications span 80+ articles and co-edited volumes on ethical components in experimental fiction and trauma narratives. His work bridges interdisciplinary studies of literature, ethics, and cultural identity. Awards: Chevalier des Palmes Académiques (2015), Exceptional Class Professorship (2013), Scientific Excellence Prize (2011, 2015). Grants: Competitive National Book Centre Award (2007) for his monograph on Peter Ackroyd. He leads initiatives in postgraduate programs and doctoral supervision, emphasizing interdisciplinary approaches to literary studies.

Achille Varziمشاهده پروفایل

استاد

• Analytic Metaphysics
• Mereology
• Logic
• +۵ مورد دیگر

Achille Varzi is a Full Professor of Philosophy at Columbia University since 2006, specializing in analytic metaphysics, logic, and mereology . His academic journey includes an Assistant Professorship at Columbia (1995–1999) and research roles in Artificial Intelligence at Trento’s Institute for Scientific and Technological Research (1989–1995). He earned his PhD from the University of Toronto (1994) under Hans G. Herzberger and holds an honorary professorship at Trento. Research Focus: Leading authority in mereology , exploring part-whole relations through numerous publications, edited volumes, and a forthcoming book with A.J. Cotnoir. His work bridges logic, ontology, and philosophy of language. Public Engagement: Active as a public intellectual with media contributions and a philosophical TV program on Italian national television. Publications Trends: Recent works emphasize classical mereology , ontological neutrality , and vagueness . Earlier contributions include foundational texts on spatial reasoning, identity, and paradoxes in logic. Scientific Awards: Recognized with prestigious fellowships and prizes in Italy and Canada, including the David Savan Dissertation Prize for his groundbreaking PhD thesis. Editorial Leadership: Serves as editor of The Journal of Philosophy since 2001.