Find Academic Supervisors

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.

• Causal Learning
• Artificial Intelligence
• Machine Learning
• +3 more

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.

• Performance and New Media
• Art and Technology
• Mobile Interpretation and User-Generated Documentation
• +5 more

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.

• Cognitive Linguistics
• Discourse Analysis
• Semantics
• +7 more

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).

• Machine Learning
• Deep Learning
• Geometric Deep Learning
• +5 more

Martin Bicher is a PostDoc Researcher at TU Wien, affiliated with the Department of Data Science under the Faculty of Informatics. He specializes in agent-based simulation, epidemiological modeling, and decision support systems for public health crises. His work focuses on optimizing resource allocation, vaccination strategies, and policy evaluation during pandemics. He teaches courses such as Modeling and Simulation (194.076), Modelling and Simulation in Health Technology Assessment (194.094), and Advanced Modeling and Simulation (194.056). His research is supported by projects like DynOptTestControl (2022–2026) and KLIPHA-COVID19 (2020–2021). Key research interests include agent-based modeling frameworks, integration of machine learning into simulation systems, and multi-criteria decision support for public health interventions. His publications analyze pandemic response strategies, vaccination prioritization, and the impact of environmental factors on disease spread. Recent work includes developing mathematical models for equitable disease testing, simulating vaccination strategies under supply uncertainties, and evaluating contact-tracing policies. He collaborates with interdisciplinary teams to address challenges in healthcare resource optimization and policy design. Advising two students, Bicher has mentored theses on railway simulation and delay modeling. His contributions to pandemic decision support have been featured in high-impact journals like Omega and PLoS ONE.

• Epidemiological Modeling
• Agent-Based Simulation
• Public Health Policy
• +3 more

Sabine Seidel is a full Professor at the Institute of Crop Production, Department of Agrarwissenschaften, University of Natural Resources and Life Sciences, Vienna (BOKU). Her research integrates plant modeling, sustainable agriculture, and digital farming to enhance climate-resilient and resource-efficient crop systems. Her research interests focus on the development and testing of innovative, diverse (organic) cultivation systems, particularly mixed cropping and intercropping. She investigates ecosystem services such as yield and greenhouse gas emissions through measurements and modeling. Her work emphasizes the interactions between genotype, environment, and management (G×E×M), especially concerning water, nitrogen, and root dynamics. She also explores root growth responses to nutrient deficiency and drought stress, and leads initiatives in digital farming, including AI tools for pollinator detection and digital twin development in agriculture. Analysis of her recent publications (2024–2025) reveals a strong trend in interdisciplinary research combining field experiments with advanced modeling. Her work spans agroecosystem modeling, intercropping systems (especially wheat and faba bean), soil-crop interactions, and the application of AI and machine learning in agriculture. She frequently contributes to multi-model studies and calibration protocols, emphasizing model accuracy and validation. Her research is highly collaborative, involving teams across Germany and Austria. Root:shoot ratio under conservation tillage Phenotypic plasticity in winter wheat Resource acquisition in intercropping Digital crop growth simulation using GANs Soil carbon sequestration and organic matter dynamics She has been actively involved in the PhenoRob Cluster of Excellence as a junior research group leader (2020–2025), focusing on optimizing plant mixtures through field experiments and modeling. Prior to this, she conducted postdoctoral research on subsoil management at the University of Bonn. Her work bridges ecology, plant science, soil science, and digital technologies. She earned her doctorate on plant modeling and irrigation from the Technical University of Dresden and studied agricultural sciences at the Technical University of Munich. She is based in Vienna and maintains an active presence in knowledge transfer, with media contributions in print and online outlets discussing sustainable farming practices.

• Organic Farming
• Sustainable Agriculture
• Crop Production
• +13 more

Thomas Ertl is a Professor at the University of Natural Resources and Life Sciences, Vienna (BOKU), leading the Institute of Sanitary Engineering and Water Pollution Control. His research focuses on urban water systems, emphasizing sustainable drainage, climate change adaptation, and nature-based solutions. He has coordinated 55 projects, including international initiatives in Albania and Austria, addressing stormwater management, wastewater heat recovery, and sewer infrastructure resilience. Key Projects : Analysing re-activated watercourses for urban resilience (2024–2028) Resilient rainwater management in Austria (2024–2028) Assessing pollutant emissions in Albania (2024–2027) Research Themes : Building Information Modeling (BIM) in wastewater systems Uncertainty analysis under climate change Stormwater pollution and heat island mitigation Awards : 2018: Goldene Ehrennadel des ÖWAV 1993: Best student award at AGIT 93 His recent publications highlight multidisciplinary approaches to wastewater energy recovery, spatial compatibility of nature-based solutions, and prioritization of stormwater management sites. He has supervised numerous theses and contributed to media discussions on urban climate resilience, including articles in Austrian outlets like futurezone.at and Der Kurier.

• Environmental Engineering
• Water Resource Management
• Urban Hydrology
• +3 more

Peter Haggett was a renowned geographer and Emeritus Professor of Urban and Regional Geography at the University of Bristol. His career spanned over five decades, including roles as Dean of the Faculty of Social Sciences (1975–1980), Head of Department at Cambridge University (1966–1975), and visiting professorships at institutions worldwide. He specialized in urban geography, quantitative methods, and epidemiological geography, co-authoring seminal works like Models in Geography and Spatial Diffusion . Haggett’s research extended to understanding disease spread through geographical frameworks, supported by the Wellcome Trust. Education: A Cambridge graduate, he taught at University College London (1955–1957) and Cambridge University (1957–1966). He held honorary degrees from multiple universities and received prestigious awards including the Royal Geographical Society’s Patron’s Gold Medal and the Prix International de Geographie. Research Interests: His work focused on three pillars: geographical discipline theory, quantitative spatial analysis, and disease geography. He pioneered methodologies for spatial diffusion models and applied them to influenza, AIDS, and measles epidemics. Collaborating with Prof Andrew Cliff, he produced influential atlases mapping disease distributions. Awards and Honors: Recipient of the Scottish Gold Medal, International Geographical Union’s Lauréat d’Honneur, and honorary fellowships. His contributions were recognized through a festschrift volume Diffusing Geography (1995). Advisory Roles: Served as Vice Chancellor of the University of Bristol, British Academy Vice President, and advisor to global health institutions like the WHO and CDC. He established Progress in Physical Geography and Progress in Human Geography journals. Labs and Collaborations: Active in interdisciplinary research with epidemiologists, including visiting roles at the CDC and WHO. His work bridged geography and public health, influencing global disease policy.

• Urban and Regional Geography
• Quantitative Methods in Human Geography
• Epidemiological Geography
• +3 more

Michal Piovarci is a Researcher (Postdoc) at ETH Zurich's Computational Design Lab led by Bernd Bickel. He holds a Ph.D. from USI Lugano (2020) under Piotr Didyk, receiving the Eurographics PhD Award for his thesis on Perception-Aware Computational Fabrication. His research focuses on computer graphics, computational fabrication, and haptic/appearance reproduction, emphasizing perception-driven solutions. Education: Ph.D., USI Lugano (2020) Previous postdoc at ISTA's Visual Computing Group Research interests include 3D Printing Innovations Haptic Feedback Systems Material Perception Modeling Directional Surface Design Professional Activities: Area chair at ACM Symposium on Computational Fabrication (2024), program committee roles at SIGGRAPH, SAP, and Eurographics. Organized Computational Fabrication Seminars (2021-2022). Grants: SNSF Project Funding (CHF 1M, 2025-2029) and FWF Lise Meitner Grant (2022-2023). Teaching: Taught Scientific Machine Learning for Design (ETH Zurich, 2024) Computational Fabrication (TU Wien, 2022)

• Computer Graphics
• Computational Fabrication
• Haptic Reproduction
• +3 more

Roland Köck is a Professor at the Institut für Waldbau , Department für Agrarwissenschaften, University of Natural Resources and Life Sciences Vienna. His work focuses on adaptive forest management under climate change, water resource protection , and forest ecosystem dynamics . Key Projects: Dynamic forest site classification, PROLINE-CE/CAMARO-D initiatives, and karst hydrology studies. Research Trends: Analysis of 15 recent publications highlights expertise in silvicultural resilience , GIS-based hydrotope modeling , tree species adaptation , and groundwater protection . Scientific Engagement: Over 37 lectures across 8 countries, including keynote addresses at international conferences like IUFRO and EGU. Policy Contributions: Authored best practice manuals for EU-funded projects (PROLINE-CE, CAMARO-D) and national stakeholders.

• Forest Ecosystems
• Climate Change Adaptation
• Water Resource Protection
• +3 more

Timo Fleischer is an Associate Professor in the Chemistry Didactics Working Group at the University of Salzburg, affiliated with both the Faculty of Natural and Life Sciences and the School of Education. He leads key educational innovation projects including EXBOX-Digital, ChemGerLab-VR, and RECC Salzburg, and plays a significant role in digital science education development. Education: Bachelor of Science in Geography and Chemistry, University of Kiel (2011) Master of Education in Geography and Chemistry, University of Kiel (2013) PhD in Science Education, TUM School of Education (2017) Habilitation in Chemistry Didactics, University of Salzburg (2024) His research focuses on the effectiveness of digital media in teacher education and chemistry classrooms, the development of digital teaching and learning materials, and the integration of experimentation and modeling in science education. He is particularly interested in how digital tools support the learning of chemical language and representations. His work bridges educational theory and practical classroom innovation. His recent publications demonstrate a strong emphasis on digital scaffolding, augmented and virtual reality in chemistry labs, eye-tracking during experiments, and the use of fiction as an anchor in science teaching. These works reflect a trend toward immersive, technology-enhanced, and student-centered learning environments in science education. Scientific Awards: Ehrenurkunde Polytechnik-Preis 2022 – Projekt EXBOX-Digital Kulturfondspreis 2020 für das Projekt MINT:labs Science City Itzling Comenius-EduMedia-Siegel für EXBOX-Digital (2020) Qualitätslabel „Regional Educational Competence Centre“ (RECC) (2018–2021) Junior-Fellowship, Kolleg Didaktik:digital (2016–2017) Timo Fleischer has supervised various research projects and collaborated with numerous colleagues and students, though specific advisees are not listed. He has secured recognition and funding for initiatives such as EXBOX-Digital and MINT:labs, indicating successful grant acquisition. He is actively involved in teacher training, curriculum development, and science communication. He leads several innovative labs and teams, including ChemGerLab-VR (a virtual reality chemistry lab), EdTechAll, and the development of MINT:labs Science City Itzling. These initiatives focus on creating digital, hands-on, and inclusive science learning environments for both students and teachers.

• Chemistry Education
• Science Education
• Digital Media in Education
• +9 more

Prof. Dr. Thomas Franosch is a Full Professor of Theoretical Physics at the Universität Innsbruck, Department of Theoretical Physics. His research focuses on transport phenomena in complex systems, including crowded and disordered media, active matter, non-equilibrium systems, and the glass transition. He leads the Bio and Nano Physics research group and has held academic positions at institutions such as Friedrich-Alexander-Universität Erlangen-Nürnberg and Ludwig-Maximilians Universität München. His career includes a PhD from TU München (1996) and postdoctoral research at Harvard University (1998-2000). He has contributed extensively to understanding dynamics in confined colloidal systems, mode-coupling theories for glass transitions, and active particle dynamics. His work bridges theoretical frameworks with applications in soft matter and biophysics. Research interests emphasize time-dependent nonlinear response, anomalous transport, and the interplay between geometry and dynamics in confined environments. Recent publications explore light-induced caging effects in colloids, Anderson localization in fluctuating media, and stochastic dynamics of active particles. Publications span over two decades, with a focus on theoretical models explaining complex fluid behavior. Notable contributions include studies on confined hard-sphere fluids, Lorentz gas models, and active matter systems. His work frequently employs advanced simulation techniques and mode-coupling theory to analyze non-equilibrium phenomena.

• Transport in crowded and disordered media
• Time-dependent nonlinear response
• Active and non-equilibrium systems
• +3 more

Josef Strobl is an Associate Professor at the Department of Geoinformatics , Paris Lodron University of Salzburg. With over 40 years of research activity (since 1982), he has produced 168 publications and participated in 51 projects. His work focuses on GIScience, spatial data infrastructure, remote sensing, and environmental engineering applications. Education : Not explicitly detailed in the text Research Interests : Geospatial technologies, data sharing frameworks, climate action support, hydrological modeling, and interdisciplinary applications in Central Asia Recent Publications (2021-2025) demonstrate expertise in geospatial ecosystems, water resource analysis, disease monitoring, and educational frameworks using GIS technologies across multiple domains including climate science, health geography, and regional development. Scientific Awards Christian-Doppler Preis (1989) Ehrenzeichen des Landes Salzburg (2018) Erasmus+ Botschafter (2022) Kulturfonds Salzburg Kinder- und Jugendprojektpreis (2020) Lifetime Achievement Award (2023) Leadership Roles include membership in the European Academy of Sciences and Arts (since 2021), full membership in the Austrian Academy of Sciences (since 2010), and organizing major conferences like GISCA 2024-2025. He contributes to editorial activities and peer review processes.

• Geoinformatics
• GIScience
• Spatial Data Infrastructure
• +2 more

Markus Drapalik is a researcher at the Institute for Safety and Risk Sciences within the Department of Landscape, Water and Infrastructure at the University of Natural Resources and Life Sciences, Vienna (BOKU). His work spans risk research, renewable energy systems, radiation protection, and technology assessment, with a strong focus on wind energy safety, particularly ice throw phenomena. He holds a doctoral degree in Natural Resources and Life Sciences and previously pursued physics doctorate studies at the University of Vienna. His research interests include risk assessment in renewable energy, particularly urban small wind turbines, photovoltaics, biogas, and nuclear safety. He has led multiple research projects on ice throw simulation, risk analysis of small wind turbines, and safety considerations for small modular reactors. His work integrates experimental physics, engineering modeling, and policy-relevant technology assessment. His recent publications reflect a strong trend in renewable energy risk mitigation, especially concerning wind turbine icing, alongside contributions to nuclear safety standards and advanced materials assessment. These works appear in journals related to cold regions science, sustainable energy, and safety research, demonstrating interdisciplinary engagement. Scientific awards: No specific awards listed in the provided text. Advising and Grants: Markus Drapalik has supervised numerous master’s theses on topics including wind turbine recycling, seasonal energy storage, and photovoltaic applications. He has been involved in multiple externally funded research projects, supported by entities such as FFG, EU, and the Austrian Federal Environment Agency, often serving as project leader or key contributor in areas of energy risk and safety. Labs and Teams: He is a core member of the research team at the Institute for Safety and Risk Sciences at BOKU, collaborating with colleagues such as Friederike Frieß, Nikolaus Müllner, and Christian Gepp. He has co-organized the Vienna Nuclear Symposium series and contributed to EU-level foresight projects on security scenarios and disaster management.

• Risk research
• Renewable energy
• Wind energy
• +13 more

Johannes Hübl is a Full Professor at the University of Natural Resources and Life Sciences, Vienna (BOKU), leading the Institute for Alpine Natural Hazards within the Department of Landscape, Water and Infrastructure. His research focuses on alpine mass movement dynamics—particularly debris flows, rockfalls, and floods—with emphasis on risk management, mitigation engineering, and climate change adaptation. He maintains an active project portfolio including EU-funded initiatives and Austrian federal collaborations. His primary research interests include the physical processes of debris flows (surge dynamics, run-up behavior, sediment transport), rockfall hazard assessment, flood protection engineering, and climate change impacts on alpine hazards. Recent work pioneers advanced monitoring techniques like pulse-Doppler radar and LiDAR for real-time measurement of flow velocity and height, directly informing protective dam design and early warning systems. He also develops GIS-integrated simulation models for granular flows and risk assessment. Hübl's publications trend toward high-resolution field studies of debris flow dynamics, with significant focus on spatial impact distribution, statistical discharge modeling, and wildfire-hazard linkages. This reflects growing priorities in climate-resilient infrastructure and quantifiable risk assessment methodologies across European alpine regions. Scientific awards: No awards, fellowships, or medals are documented in the provided materials. Advising and grants: Professor Hübl has supervised numerous university theses as indicated by his profile. His grant leadership spans over 30 projects since 1994, including: EU projects: Nature-Based Solutions for Climate-Resilient Infrastructure (2024-2028), THARMIT (2000-2003) Austrian federal funding: 20+ projects with BMLFUW/BMF (e.g., rockfall detection, sediment management) International commissions: Bhutan flood mitigation (2000), Melamchi River reviews (2023) Industry collaborations: Check dam failure analysis, Cougar Creek optimization Labs and teams: He directs field monitoring operations including the Illgraben (Switzerland) and Gadria Creek (Italy) test sites. His institute employs physical modeling (hydraulic experiments, laser scanning) and develops real-time warning systems for alpine catchments, working closely with Austrian watershed management agencies and European consortia on event documentation and structural countermeasures.

• Natural Hazards
• Debris Flows
• Rockfall
• +6 more