Find Academic Supervisors

• Theoretical Astroparticle Physics
• High-Energy Astrophysics
• Gamma-Ray Astronomy
• +10 more

Anita Reimer is a Full Professor at the Institute for Astro- and Particle Physics, Faculty of Mathematics, Computer Science and Physics, University of Innsbruck. Her research focuses on theoretical astroparticle physics, particularly high-energy phenomena in active galactic nuclei (AGN), blazars, gamma-ray bursts, and cosmic-ray acceleration, with strong involvement in major international collaborations such as Fermi-LAT, H.E.S.S., and the Cherenkov Telescope Array (CTA). Her research interests center on multi-messenger astrophysics, exploring the connections between gamma rays, neutrinos, and cosmic rays. She develops theoretical models for particle acceleration and emission in relativistic jets, photohadronic interactions, and neutrino production in AGN. Her work often bridges theoretical predictions with observational data from space- and ground-based telescopes. The recent publications of Prof. Reimer span topics such as TeV gamma-ray emission from Eta Carinae, periodic modulation in blazars, cosmic-ray electron spectra, and dark matter searches. These works reflect a strong emphasis on observational constraints for theoretical models, multiwavelength analysis, and the physics of extreme astrophysical environments. She has delivered numerous invited talks at international conferences on topics including neutrino-emitting blazars, multi-messenger astronomy, and theoretical modeling of AGN jets. She collaborates extensively with leading research groups worldwide and contributes to major catalog efforts like the Fermi-LAT source catalogs. She advises students and junior researchers in high-energy astrophysics and is actively involved in large-scale projects such as the Cherenkov Telescope Array, contributing to both instrumentation and science preparation. Her work is central to advancing our understanding of particle acceleration and emission in the most energetic sources in the universe.

Peter HaggettView profile

Professor

• Urban and Regional Geography
• Quantitative Methods in Human Geography
• Epidemiological Geography
• +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.

Brian HorsakView profile

Associate Professor

• Clinical biomechanics
• Gait analysis
• Musculoskeletal loading
• +5 more

Brian Horsak is a Privatdozent (equivalent to Associate Professor) at the University of Vienna, affiliated with the Department of Sport and Human Movement Science within the Faculty of Sports Sciences. He serves as a member of the PI Panel/Supervisors for the Sport Science program at the Vienna Doctoral School of Pharmaceutical, Nutritional and Sport Sciences (VDS PhaNuSpo). His research group is located at the St. Pölten University of Applied Sciences with strong collaboration to the Centre for Sport Science and University Sports at the University of Vienna. Dr. Horsak's primary research interests focus on clinical (gait) biomechanics and interdisciplinary approaches between therapy and technology. His work is dedicated to understanding musculoskeletal loading of the lower extremities during locomotion and exercise, and developing assistive technologies such as machine learning algorithms and virtual reality applications to support patients and therapists during rehabilitation. Specific areas include: Clinical gait analysis and biomechanics Musculoskeletal loading in lower extremities Patellofemoral instability and joint biomechanics Machine learning applications for gait classification Virtual reality for rehabilitation Biomechanics of obesity and pediatric movement disorders 3D motion capture and markerless technology His recent publications demonstrate a strong trend toward integrating advanced computational methods with clinical biomechanics. Over the past five years, his work has increasingly focused on smartphone-based motion capture systems, deep learning applications for gait analysis, and virtual reality environments. His research bridges engineering technology and clinical rehabilitation, with particular attention to knee biomechanics, patellofemoral disorders, and movement analysis in pediatric obesity. Dr. Horsak teaches courses including 'Methods and Concepts of Biomechanics and Sports Informatics' and serves as supervisor for PhD students Bernhard Dumphart and Mark Simonlehner. His research group maintains strong collaborations with the St. Pölten University of Applied Sciences and appears to be involved in multiple interdisciplinary projects combining sports science, engineering, and clinical rehabilitation.

• Human-Robot Interaction
• Assistive Robotics
• Machine Learning in Robotics
• +5 more

Prof. Dongheui Lee is a Full Professor at TU Wien's Institute of Computer Technology, Faculty of Electrical Engineering and Information Technology, and leads the Human-centered Assistive Robotics Group at the German Aerospace Center (DLR). She holds a PhD from the University of Tokyo (2007) and has held academic roles at Technical University of Munich (TUM), the University of Tokyo, and KIST. Her research focuses on human-robot interaction, assistive robotics, and machine learning applications in robotics. Education: PhD, Information Science and Technology, University of Tokyo, 2007 MS, Kyung Hee University, 2003 Research Interests: Her work spans human motion understanding, assistive robotics, human-robot collaboration, and control systems. Key areas include robotic balance assistance, motion imitation, and safety-aware robotics. She has pioneered methods for light touch support in human-robot interaction and developed frameworks for dynamic task execution. Recent Trends in Publications: Recent work emphasizes variable stiffness control, motion retargeting, and multimodal anomaly detection. Publications highlight advancements in assistive robotics, human motion prediction, and reinforcement learning for locomotion. Articles often integrate robotics with machine learning to improve safety and adaptability in human-robot systems. Awards: Carl von Linde Fellowship (TUM Institute for Advanced Study, 2011) Helmholtz professorship prize (2015) Best Intelligence Paper Award (2024) Projects & Grants: Leads projects like LunarAssembly (robotic assembly on the Moon) and INVERSE (interactive robots through reasoning). Funded initiatives include EU Horizon, BMBF, and industry collaborations. Coordinates teams for projects like PERSEO (service-oriented robotics) and SOLAR (body representation studies). Labs/Teams: Directs the Human-centered Assistive Robotics Group at DLR and collaborates with TU Wien's Autonomous Systems unit. Her teams focus on real-world applications in healthcare, manufacturing, and human-centered robotics.

• Machine Learning
• Computational Biology
• Medical Informatics
• +9 more

Günter Klambauer is a Professor at the Institute for Machine Learning , Johannes Kepler University Linz, and leads the LIT Artificial Intelligence Lab in Austria. His research bridges artificial intelligence with life sciences , focusing on deep learning applications in retinal imaging , drug discovery , and hydrological modeling . Affiliation: JKU Institute for Machine Learning & LIT Artificial Intelligence Lab Key Research Areas: Medical Imaging AI, Biological Sequence Modeling, Generative Models for Molecules, Time-Series Forecasting His recent publications highlight extended LSTM architectures (xLSTM) for biological sequence modeling, contrastive learning in retinal imaging, and in-context learning for low-data drug discovery. He has pioneered frameworks like TiRex for zero-shot forecasting and LaM-SLidE for spatial dynamical systems. Scientific Awards: Austrian Life Science Award (2012) Award of Excellence (2014) ELLIS Society Scholar (2020) Director, ELLIS Machine Learning for Molecules Discovery Program (2023) Professor Klambauer collaborates extensively on AI-driven biomedical projects , including retinal image analysis and antibody design, while advancing foundational neural network architectures for diverse domains from healthcare to climate modeling.

• Supply Chain Management
• Logistics
• Sustainability
• +6 more

Markus Gerschberger is a Professor at the Steyr University of Applied Sciences , affiliated with the Center of Excellence Logistics LOGISTIKUM . His research focuses on Supply Chain Management , Resilience , and Sustainability , with a particular emphasis on Value Networks , Green Supply Chain Practices , and Process Variability . He has led significant projects such as JRC LIVE (2019–2023) and LOG-ReSCUE (2014–2015), funded by the 7th Framework Programme of the European Union and BRIDGE: science transfer . Key research areas: Supply Chain Complexity, Organizational Adaptability, Carbon Emissions Mitigation. Collaborations: EU institutions, Austrian automotive suppliers, and international researchers. Recent work: 2025 systematic review on sustainable supply chains, 2024 studies on circular economy and carbon emissions. His publications highlight trends in EU supply chain regulation , greenhouse gas compliance , and resilience strategies . He actively participates in peer-review and conferences like CSCMP 2018 and ICLT 2017 , often co-authoring with colleagues such as Verena Schmidt and Franz Aschauer . His work spans 146 research outputs and 6 projects , reflecting deep engagement with logistics innovation.

• Control Engineering
• Automation
• Model Predictive Control
• +5 more

Martin Steinberger is an Associate Professor at the Institute of Control and Automation (IRT) at Graz University of Technology (TU Graz). His work focuses on advanced control systems, networked control, model predictive control (MPC), and automation in manufacturing and autonomous systems. He leads research into real-time optimization, fault diagnosis, and safety-critical applications in industries like pharmaceuticals and automotive. Research interests include: Networked Control Systems Model-Based Control Autonomous Vehicle Trajectory Planning Process Automation Robotics and Industrial Automation His work bridges theoretical control engineering with practical applications in manufacturing lines, chemical processes, and autonomous driving. Recent studies emphasize digital real-time release testing for pharmaceuticals, universal control concepts for manufacturing systems, and safety-aware trajectory optimization for automated vehicles. His publications frequently address challenges in time-varying delays, packet loss mitigation, and robust observer design for nonlinear systems. Steinberger collaborates on EU-funded projects and regularly contributes to conferences like the International Workshop on Variable Structure Systems. His research often involves experimental validation, as seen in work with compact pharmaceutical manufacturing setups and small-scale autonomous vehicle testing platforms.

Lucrezia ReichlinView profile

Professor

• Monetary Policy
• Applied Macroeconomics
• Econometrics (Time Series)
• +3 more

Lucrezia Reichlin is a Professor of Economics at the London Business School , where her research bridges macroeconomic policy and advanced econometric techniques. She holds key advisory roles as a non-executive director for major financial institutions like UniCredit Banking Group and Eurobank Ergasias SA, and chairs the Scientific Council at the Brussels-based think-tank Bruegel . Previously, she served as Director General of Research at the European Central Bank (2005-2008) and held academic positions at the Université Libre de Bruxelles and Columbia University. Education: Ph.D. in Economics, New York University Reichlin is a pioneer in now-casting and high-dimensional time series analysis , developing econometric models to process real-time economic data. Her work has been adopted by central banks and private investors globally, focusing on monetary policy evaluation , business cycle dynamics , and forecasting methodologies . She co-founded the firm Now-Casting Economics Ltd in 2011 to commercialize these techniques. Scientific Awards & Honors: 2016 Birgit Grodal Award of the European Economic Association 2016 Isaac Kerstenetzky Scholarly Achievement Award International Economics Award, Chamber of Commerce of Genoa (2015) Grand Ufficiale dell'Ordine della Stella d'Italia (2015) Fellow, British Academy Fellow, European Economic Association Distinguished Fellow, CEPR As a columnist for Corriere della Sera and member of the Commission Economique de la Nation (France), she influences public and policy debates. She also founded the Ortygia Foundation , promoting female education in southern Italy. Her methodological innovations in dynamic factor models , Bayesian VARs , and shrinkage techniques have reshaped modern macroeconomic analysis.

Gao HuijunView profile

Professor

• Networked Control Systems
• Signal Processing
• Image Processing
• +7 more

Prof. Gao Huijun is a Full Professor at the School of Aeronautics and Astronautics, Harbin Institute of Technology (HIT), where he also serves as Director of the Research Institute of Intelligent Control and Systems. He holds honorary positions at The University of Hong Kong and the University of Alberta. His research focuses on networked control systems, robotics, and signal processing, with over 380 SCI publications and an H-index of 120. Positions: Director of Interdisciplinary Science Research Center (2019–present), Dean of School of Science (2015–2019), and Honorary Professor at The University of Hong Kong (2009–present). Education: Ph.D. in Control Science and Engineering from HIT (2005), postdoc at University of Alberta (2005–2007). Research interests span networked control systems, multi-agent systems, and opto-mechanical integration. His work has led to 100+ patents and prestigious awards like the IEEE Fellow (2013) and National Natural Science Award (2014). Editorial roles include Co-Editor-in-Chief of IEEE Transactions on Industrial Electronics and Senior Editor roles in multiple journals. He has advised over 30 doctoral students, many of whom hold academic or industry leadership roles. Key Awards: National Natural Science Award (2014), China Youth May Fourth Medal (2011), Highly Cited Researcher (2014–2020). Grants: Chief Scientist of National Key R&D Programs, Director of China Postdoctoral Science Foundation. Labs/Teams: Leads the Research Institute of Intelligent Control and Systems, focusing on interdisciplinary projects like AOI systems and industrial robotics.

• Computer Engineering
• Information Systems Engineering
• Operating Systems
• +4 more

M. Anton Ertl is an Associate Professor at TU Wien's Faculty of Informatics, Department of Compilers and Languages. His roles include teaching courses such as 'Compilers,' 'Efficient Programs,' and 'Stack-based languages.' He specializes in compiler back-ends, Forth, interpreters, programming languages, operating systems, and computer architectures. Ertl's research focuses on optimizing interpreters, compiler design, and hardware security, particularly addressing vulnerabilities like Spectre. His research interests span interpreter performance, compiler optimization, and Forth language evolution. Recent work includes exploring hardware-based Spectre mitigation, decompilers for Gforth, and stack-based language efficiency. He actively contributes to the EuroForth conferences as an editor and presenter. Ertl supervises students on topics like compiler construction, reverse engineering, and interpreter optimization. His academic contributions include over 50 publications, with a focus on virtual machine performance, compiler back-ends, and Forth-related advancements. He is a key figure in the Gforth project and regularly teaches advanced courses on programming languages and computer systems.

Eric LambinView profile

Professor

• Geography
• Environmental Sciences
• Human-Environment Interactions
• +5 more

Eric F. Lambin is a Full Professor at both Stanford University (Inaugural George and Setsuko Ishiyama Provostial Professor in the Department of Environmental Earth System Science, School of Earth Sciences) and Université catholique de Louvain (Belgium). His research focuses on human-environment interactions, land-use change, sustainability science, and remote sensing. He has held leadership roles, including Chair of the Scientific Steering Committee for the LUCC project (1999-2005) and Co-Chair of the Department of Environmental Earth System Science at Stanford (2013-present). Education: PhD in Sciences (Geography), University of Louvain, Belgium (1988) Master in Sciences (Geography), University of Louvain, Belgium (1985) Baccalaureate in Philosophy, University of Louvain, Belgium (1985) Research Interests: Dr. Lambin explores land-use dynamics, environmental governance, and the impacts of land change on ecosystems and human health. His work integrates remote sensing, socio-economic data, and multi-agent simulation models to address global challenges such as deforestation, desertification, and vector-borne diseases. Key themes include forest transitions, sustainability transitions, and the socio-ecological feedbacks driving land-use changes. Awards & Recognition: Member of the Academia Europaea (2010) Foreign Associate, U.S. National Academy of Sciences (2009) Francqui Prize in Sciences (2009) Zayed International Prize for the Environment (2005) Member of the Royal Academy of Belgium (2006) Advising & Grants: Dr. Lambin has advised over 20 PhD students on topics ranging from soybean supply chains to malaria epidemiology. His grants and collaborations involve international organizations like IIASA, the Beijer Institute, and the National Socio-Environmental Synthesis Center (SESYNC). Labs & Teams: As a Senior Fellow at the Woods Institute for the Environment, he leads interdisciplinary projects on sustainability science. His work bridges academia and policy, contributing to global initiatives like the Kyoto Protocol and the UN’s Sustainable Development Goals.

Marko TkalčičView profile

Professor

• Recommender Systems
• Computational Psychology
• User Modeling
• +7 more

Marko Tkalčič is a Full Professor at the Faculty of Mathematics, Natural Sciences and Information Technologies (FAMNIT) at the University of Primorska in Koper, Slovenia. He is affiliated with the Department of Information Sciences and Technologies and leads research in psychologically-informed recommender systems through the HICUP lab. His academic journey includes prior roles as Associate Professor and Assistant Professor at the Free University of Bozen-Bolzano, and postdoctoral work at Johannes Kepler University and the University of Ljubljana. Research interests include computational psychology, user modeling, personality and emotion modeling, affective computing, and bias mitigation in AI. His work integrates machine learning, data mining, and user studies to enhance personalization systems by incorporating cognitive and emotional models. He focuses on music and film domains, with applications in social media, automotive interfaces, and multimedia. The recent publications demonstrate a strong trend toward human-centric AI , exploring eudaimonic and hedonic user experiences, cognitive load in driver assistance, music relistening behavior, privacy in group recommendations, and emotion-based video and music prediction. His research increasingly blends cognitive science theories (e.g., ACT-R) with practical recommender system design. University of Primorska Golden Plaque Award (2024) Stanford List of Top Scientists Cited Worldwide Best Reviewer Award at ISMIR 2020 Italian National Habilitation for Full Professor (2020) Italian National Habilitation for Associate Professor (2017) He actively supervises PhD students, including Elham Motamedi, and has secured teaching and research roles within his team. He is a member of the editorial board for UMUAI and Frontiers in Psychology, and has co-edited books and special issues on group recommender systems and human-centered AI. He leads the HICUP lab, fostering interdisciplinary research at the intersection of psychology and computer science.

Martin VoracekView profile

Professor

• Meta-analysis and systematic reviews
• Research synthesis methodology
• Individual differences research
• +5 more

Martin Voracek is a Professor of Psychological Research Methods at the University of Vienna, Faculty of Psychology, where he serves as Deputy Head of the Department of Cognition, Emotion, and Methods in Psychology. He is also Head of School and Speaker for the Vienna Doctoral School CoBeNe, Director of Doctoral Studies for Psychology, Cognition, Behaviour and Neuroscience, and Chair of the University of Vienna Ethics Committee. Professor Voracek specializes in meta-analysis and systematic reviews, focusing on methodology for research synthesis and integration, including publication bias and evidence distortion in empirical research. His work also encompasses individual differences research, particularly biological bases of personality and behavior, and suicide research. His extensive publication record spans topics including psychological methods, mindfulness studies, digit ratio research (2D:4D), and cross-cultural psychological measurement. Voracek's research output demonstrates a clear trend toward large-scale, multinational collaborative studies, particularly in developing measurement-invariant psychological instruments across diverse populations. His recent work has focused on validating scales across 65 nations and 40+ languages, examining constructs like life satisfaction, self-compassion, body appreciation, and nature connectedness. His methodological expertise is evident in numerous meta-analyses and systematic reviews across diverse psychological domains. Among his notable scientific contributions are leadership roles in the Network of Open Science Initiatives at Psychology Departments (NOSI) and serving as Editor-in-Chief of the Journal of Individual Differences. His work has significantly advanced methodological approaches to psychological research, particularly in meta-analysis and research synthesis. Professor Voracek supervises numerous theses and leads doctoral education through the Vienna Doctoral School CoBeNe. His teaching portfolio includes courses on research approaches in cognitive psychology, master's thesis seminars, and specialized research seminars focusing on metascience, meta-analysis, scientific discourse analysis, and language neuroscience.

Rainer PrinzView profile

Researcher

• Glaciology
• Climatology
• Mass and Energy Balance
• +6 more

Rainer Prinz is a Senior Scientist at the Department of Atmospheric and Cryospheric Sciences (ACINN) at the University of Innsbruck, Austria. His research focuses on glaciology and climatology in high mountain regions, with particular expertise in mass and energy balance of glaciers, micro-meteorology, and geophysical methods. As Station Manager of Hintereisferner for the INTERACT project, he oversees one of Europe's longest continuously monitored glaciers, which serves as an open-air laboratory for climate-glacier interactions. Dr. Prinz's research spans several key areas including tropical glacier monitoring in East Africa (Kilimanjaro, Mount Kenya, Rwenzori Range), Alpine glacier dynamics, snow physics, and climate change impacts on mountain environments. His work integrates field measurements, remote sensing data, and numerical modeling approaches to understand complex glacier-atmosphere interactions. He has made significant contributions to understanding wind-driven snow redistribution, glacier mass balance, and the application of novel sensor technologies for continuous environmental monitoring. His publication record includes highly cited works such as 'Historically unprecedented global glacier decline in the early 21st century' with over 500 citations. Dr. Prinz leads or contributes to multiple international research projects including the World Glacier Monitoring Service (as National Correspondent for Kenya, Tanzania, and Uganda), the LATICE project studying land-terminating ice cliffs in North Greenland, and the INTERACT network for Arctic research. His work on Hintereisferner glacier serves as a model for long-term glacier monitoring, providing critical data on climate change impacts in the European Alps. At the University of Innsbruck, Dr. Prinz is actively involved in research infrastructure development, particularly through the Hintereisferner station which functions as an open-air laboratory. His work connects with broader networks including the World Glacier Monitoring Service and international collaborations focused on high mountain regions worldwide, from the Alps to East Africa and Greenland.

• Hydrology
• Water Resource Management
• Snow and Glacier Hydrology
• +5 more

Karsten Schulz is a Professor in the Department of Hydrology and Water Management at the University of Natural Resources and Life Sciences (BOKU), Vienna. His research focuses on hydrological processes in alpine environments, remote sensing applications, and machine learning-driven environmental modeling. He leads studies on snow cover dynamics, groundwater recharge, and the integration of big data into hydrological systems analysis. Teaching responsibilities include courses on geoecology, hydrology, and uncertainties in water flow modeling. His research emphasizes interdisciplinary approaches, combining field observations with advanced computational methods to address challenges in climate change, water resource management, and sustainable agriculture. Recent work highlights include regional-scale assessments of Austrian water balance components, the application of superconducting gravimeters for snowpack monitoring, and the development of machine learning models for soil hydraulic property prediction. He collaborates internationally on projects involving transboundary hydrology and agricultural sustainability in East Africa. Consultation hours are held weekly (except cancellations), and his lab (iHYWA) focuses on hydrological innovation for environmental resilience. Research outputs span over 50 peer-reviewed articles since 2018, addressing topics from snow hydrology to AI-driven water temperature forecasting.