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Hans-Gustaf LjunggrenView profile

Professor

• Tumor immunity
• Infection immunity
• Innate immunity
• +3 more

Hans-Gustaf Ljunggren is Professor and Senior Physician at the Department of Medicine, Huddinge, Karolinska Institutet (KI) in Sweden, where he has served since 2001. In parallel he founded and directs the Center for Infectious Medicine (CIM) . He is additionally a part-time visiting professor at Nova Southeastern University, USA (2017-2019), and an elected member of the Academia Europaea (2023). Education & Training: MD and PhD, Karolinska Institutet, 1982-1992 Post-doctoral fellowship, Center for Cancer Research, MIT, Boston, USA, 1992-1994 Research Focus His group investigates human immune responses in cancer and infectious diseases , with emphasis on natural-killer (NK) cell biology, innate and adaptive immunity, and immunotherapeutic applications. Major themes include: NK-cell reactivity against tumors and NK-cell–based cancer immunotherapy Immunity to flaviviruses (TBEV, JEV, YFV) and SARS-CoV-2 Vaccine immunogenicity in healthy and immunocompromised populations Genetic and functional studies of cytotoxic lymphocyte defects Scientific Awards & Honors Cancer Research Institute Post-Graduate Fellowship, New York (1990) J William Fulbright Foreign Scholarship Award (1992) Distinguished Professor Recognition, Karolinska Institutet (2010) Tobias Foundation Prize, Royal Swedish Academy of Sciences (2011) Medal for Zealous and Devoted Service to the Swedish Government (2020) Leadership & Service Prof. Ljunggren has held numerous leadership roles at KI, including member of the Nobel Assembly, Dean of Research (2013-2016), and currently Director of the NextGenNK Competence Center founded by Sweden’s Innovation Agency. He has served on editorial boards, national grant panels, and as scientific secretary of the Swedish Cancer Society.

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

• Audiovisual Media
• Image Processing
• Immersive Multimedia Communication
• +13 more

Christian Timmerer is a Professor at the Institute of Information Technology, Alpen-Adria-Universität Klagenfurt. His research focuses on adaptive video streaming , energy efficiency , MPEG standardization , and quality of experience (QoE) , with significant contributions to HTTP Adaptive Streaming (HAS), multi-codec optimization, and immersive media systems. Email: christian.timmerer@aau.at Office Hours: Monday 3:00-4:00 PM (by appointment) Projects: CD-Labor ATHENA, GAIA, SPIRIT His research integrates machine learning and generative AI to enhance video encoding, super-resolution, and voice dubbing, while prioritizing sustainability through energy-aware algorithms and open-source tools like GREEM and VEED. Current work emphasizes latency reduction and dynamic bitrate adaptation in live streaming environments. Recent publications address VVC optimization , multi-resolution encoding , and perceptual quality modeling , reflecting interdisciplinary efforts in networking , computer vision , and human-computer interaction . Awards include leading funded projects on adaptive streaming and green video systems.

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

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

Sara Merino AceitunoView profile

Professor

• Kinetic Theory
• Partial Differential Equations
• Mathematical Biology
• +5 more

Prof. Sara Merino Aceituno is a Professor at the Faculty of Mathematics, University of Vienna, leading research in kinetic theory and its applications to biology, medicine, and social sciences. She holds roles as Vice-Dean of the Faculty and Head of the Institute of Mathematics. Her work bridges mathematical models with experimental data, focusing on emergent phenomena in collective dynamics, opinion formation, and cell behavior. She teaches advanced courses on kinetic theory, biomathematics, and mathematical strategies for learning. Her contributions include modeling cell delamination, nematic alignment, and swarm dynamics through PDEs and probabilistic methods. Collaborations with experimentalists drive her interdisciplinary research. She actively engages in education, advising, and public outreach, including a video series explaining mathematical patterns in nature. Her research emphasizes understanding macroscopic patterns arising from microscopic interactions in complex systems. Education: Holds a PhD in Mathematics, with expertise in kinetic theory and applied partial differential equations. Teaching and leadership roles reflect her commitment to academic excellence and student support. Her work integrates experimental and computational models to study clonal dynamics in tissues and mechanical constraints in epithelial layers. She has authored over 20 papers on topics ranging from active matter to opinion formation networks, contributing to both theoretical advancements and practical applications in biology and social sciences. Research focuses on deriving hydrodynamic and continuum models from particle systems, analyzing stability and bifurcations in collective behavior. Grants and collaborations include the Vienna Biocenter PhD Program and experimental groups in cell biology. Her lab explores how environmental factors influence particle swarms and how mechanical forces shape cell cycles in pseudostratified epithelia.

Ulrike FeltView profile

Professor

• Science and Technology Studies
• Public engagement in science
• Research cultures
• +9 more

Ulrike Felt is a Full Professor of Science and Technology Studies and Chair of the Department of Science and Technology Studies at the University of Vienna, where she has held academic positions since 1989. She served as Dean of the Faculty of Social Sciences (2014-2018) and Head of the Department of Science and Technology Studies during multiple periods (2004-2014, 2018-present). She also led the Interdisciplinary Research Platform 'Responsible Research and Innovation in Academic Practice' (2015-2022). With a PhD in physics and habilitation in social sciences, Felt's research spans diverse domains including life sciences, biomedicine, nanotechnologies, nuclear energy, and environmental research. Her work focuses on governance and public participation in technoscience, changing research cultures, temporal aspects of scientific developments, and responsible research innovation frameworks. She frequently conducts interdisciplinary collaborations with researchers from the sciences and comparative analyses across national contexts. Felt's recent publications demonstrate her continued engagement with cutting-edge topics including smart cities, digital health infrastructure, biobanking, border technologies, and temporal dimensions of academic work. Her work consistently examines how technological developments intersect with societal values, governance structures, and temporal frameworks. 4S Infrastructure Award (2017) Ziman Award of EASST (2014) ARS DOCENDI Austrian State Prize for Innovative Excellent Teaching (2015) UNIVIE Teaching Award (2014) Member of the SSH Panel of the ERC Felt served as editor-in-chief of Science, Technology & Human Values (2002-2007) and led the publication of the Handbook of Science and Technology Studies with MIT Press (2017). As President of the European Association for the Study of Science and Technology (2017-2020), she has significantly shaped the international STS community. Her work on card-based engagement methods (IMAGINE, RESPONSE_ABILITY) demonstrates her commitment to translating STS insights into practical tools for researchers.

• Artificial Intelligence
• Recommender Systems
• Information Systems
• +2 more

Dietmar Jannach is a Full Professor at the University of Klagenfurt, Austria, affiliated with the Institute for Artificial Intelligence and Cybersecurity where he leads the Research Group for Information Systems. His academic roles include membership in the university's Senate and Curricular Commissions for Liberal Arts and Information Management. His research spans: Core Areas : Artificial Intelligence, Recommender Systems, and Software Engineering. Methodological Focus : Algorithm reproducibility, fairness in AI, sequential recommendations, and hybrid learning models. Emerging Interests : Generative AI for group decision support, ethical recommender systems, and foundation model applications. Jannach's recent publications critically evaluate reproducibility challenges in AI research, advocate for calibrated recommendations to mitigate bias, and explore agentic paradigms in group recommender systems. He emphasizes real-world validation, with studies on deployment challenges and developer experiences in software processes. He actively contributes to academic governance and mentors through research groups, though specific student advisees are not listed. Contact via Dietmar.Jannach@aau.at .

• Forest Inventory and Monitoring
• LiDAR Technology Applications
• Forest Regeneration Quantification
• +3 more

Tobias Ofner-Graff is a researcher at the Institute of Forest Growth within the Department of Ecosystem Management, Climate and Biodiversity at the University of Natural Resources and Life Sciences, Vienna (BOKU). Based at Peter-Jordan-Straße 82, 1190 Wien, his work focuses on advanced forest monitoring technologies. His research interests include: LiDAR and remote sensing applications in forestry Automated forest inventory systems Forest regeneration quantification Airborne Laser Scanning (ALS) data analysis Sustainable forest harvesting planning Recent project contributions include: Leading lidar-based forest monitoring systems development Developing spatial forest growth models Implementing digital inventory workflows His publications demonstrate expertise in: Quantifying forest resources through 3D point clouds Advanced timber stack measurement techniques ALS data integration for forest modeling Mobile laser scanning applications Forest climate adaptation strategies

• Brain-Computer Interface
• Biomedical Engineering
• Neuroprosthetics
• +5 more

Prof. Dr. Gernot R. Müller-Putz is Head of the Institute of Neural Engineering and the Graz Brain-Computer Interface Lab at Graz University of Technology. He serves as Dean of the Faculty of Computer Science & Biomedical Engineering and holds editorial roles at Frontiers in Human Neuroscience IEEE Transactions in Biomedical Engineering Brain-Computer Interface Journal . With over 212 peer-reviewed publications and an h-index of 80, his research focuses on Brain-Computer Interfaces , Neuroprosthetics , and EEG-based Motor Control . His work investigates: Neural signal decoding for spinal cord injury rehabilitation Hybrid BCI systems with error processing Artificial sensory feedback mechanisms Machine learning applications in neural engineering VR-based neurofeedback environments Non-invasive multimodal biosignal recording Research trends show strong emphasis on EEG signal processing , BCI clinical applications , and neurotechnology integration . Scientific Awards : ERC Consolidator Grant (2015) Ludwig-Guttman Award (2017) CYBATHLON Best Paper (2019) State of Styria Research Award (2019) Förderstipendium (2013-2014) He advises 21 PhD students and has managed major projects like MoreGrasp (EU Horizon 2020) , Feel Your Reach (ERC) , and INTRECOM (EU EIC Pathfinder) . The Institute hosts the BCI Racing Team Mirage91 and offers international thesis opportunities.

• Dependable computing
• Networking algorithms
• Cloud computing
• +3 more

Alex X. Liu is a Professor in the Department of Computer Science & Engineering at Michigan State University (2016-2022), currently serving as Chief Information Security Officer and President of Midea Software Engineering Institute. His academic career includes roles as Associate Professor (2012-2016) and Assistant Professor (2006-2012) at the same institution. He holds a Ph.D. and M.S. in Computer Science from The University of Texas at Austin, and a B.S. in Computer Science from Jilin University, China. Education Ph.D. in Computer Science (UT Austin, 2006) M.S. in Computer Science (UT Austin, 2002) B.S. in Computer Science (Jilin University, 1996) Liu's research focuses on Dependable computing , Networking algorithms , Cloud computing , Mobile computing , Privacy computing , and Computer/network security . His work spans secure systems, network protocols, and resource optimization in distributed environments. Recent publications address quantum neural networks , microservices autoscaling , RFID tag recognition , network traffic classification , and hybrid physical-layer authentication , demonstrating expertise at the intersection of AI and network security. Key trends include deep learning applications for cloud systems and robust security protocols. Scientific Awards IET Fellow (2021) IEEE Fellow (2019) ACM Distinguished Scientist (2019) Withrow Distinguished Scholar Awards (Senior 2019, Junior 2011) NSF CAREER Award (2009) IEEE & IFIP William C. Carter Award (2004)

• 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.

Clark, Adam ThomasView profile

Associate Professor

• Community Ecology
• Ecological Stability
• Grassland Ecology
• +12 more

Adam Thomas Clark is an Associate Professor in the Department of Biology at the University of Graz, Austria, where he leads research on ecological community stability, self-assembly, and persistence across spatial and temporal scales. He is affiliated with the Institute of Biology and the Department of Plant Sciences, focusing on predictive models of community ecology. His academic journey includes a PhD from the University of Minnesota under David Tilman, postdoctoral work at the Helmholtz Centre for Environmental Research (UFZ) and iDiv with Stan Harpole and Helmut Hillebrand, and undergraduate research at Harvard University's Museum of Comparative Zoology. His research interests span Community Ecology , Grassland and Plant Ecology , Ant Community Assembly , Biodiversity , and Theoretical Modeling . He investigates how ecological systems maintain stability despite disturbances, integrating field experiments, taxonomy, and data synthesis. His work has particular emphasis on tallgrass prairies in the US Midwest, Central European grasslands, and ant communities in the Caribbean and northeastern US. The recent publications and social media activity highlight a strong focus on ecological acclimation , coexistence mechanisms , landscape and historical ecology , climate change impacts , and food web dynamics . His work often bridges empirical data with theoretical frameworks to improve predictive ecology. He is actively involved in mentoring, having advertised funded PhD and postdoctoral positions, and collaborates with institutions across Europe. ORCID: 0000-0002-8843-3278 Homepage: adamclarktheecologist.com Social: Bluesky , Twitter , GitHub , Google Scholar Clark is engaged in broader academic discourse, commenting on faculty hiring practices, research evaluation, and scientific trust. He promotes interdisciplinary climate research and has contributed to studies on public perception of science and ecological resilience in marine and terrestrial systems.

Thomas BlaschkeView profile

Research Fellow

• Geosciences
• Geoinformatics
• Remote sensing
• +3 more

Thomas Blaschke is a Research Fellow at the Department of Geoinformatics - Z_GIS, University of Salzburg. His work bridges geospatial technologies, remote sensing, and sustainable urban systems, emphasizing object-based image analysis (OBIA) as a transformative paradigm in geographic information science. Research Areas : Geoinformatics, Remote Sensing, Spatial Research, Physical Geography, Cartography Blaschke’s publications highlight advancements in OBIA techniques, sustainable landscape management, and urban monitoring using geospatial technologies. His 2014 paper on Geographic Object-based Image Analysis (GEOBIA) demonstrates its integration into modern remote sensing workflows. He has received prestigious awards including the Christian-Doppler-Preis , Marie Curie Research Grant , and Fulbright Professorship , underscoring his international impact. His projects often involve interdisciplinary collaborations, supported by grants from institutions like the European Commission and University of South Carolina. Scientific Awards : Christian-Doppler-Preis des Landes Salzburg Marie Curie Research Grant Förderungspreis der Österreichischen Geographischen Gesellschaft Fulbright Professorship Provost Grant of the University of South Carolina

• Bayesian Statistics
• Cluster Analysis
• Data Science
• +5 more

Bettina Grün is an Associate Professor and Deputy Head of the Institute for Statistics and Mathematics at Vienna University of Economics and Business (WU). Her research focuses on Bayesian mixture models, cluster analysis, and applying statistical methods to sustainability, tourism, and environmental studies. She has led multiple research projects, including studies on environmental behavior in tourism and advanced text modeling in economics. Grün holds a PhD in Technical Mathematics from TU Wien (2006) and a Habilitation in Statistics from Johannes Kepler University Linz (2012). She has authored over 150 publications in top journals like Journal of Environmental Management and Expert Systems with Applications . Her work emphasizes practical applications, such as reducing hotel waste through behavioral interventions and developing R packages like movMF and circlus for statistical clustering. Grün has received awards including the AIEST Best Contribution Award (2019) and the MRS Silver Medal (2016). Grün teaches courses on statistical modeling and leads projects like Analysis of Central Bank Communication (2022–2026) and Environmentally Friendly Behavior in Tourism (2019–2024).