Dominik Schörkhuber is a PreDoc Researcher at the Vienna University of Technology (TU Wien) in the Computer Vision department. With a background in Informatics (BSc, Dipl.-Ing.), he focuses on computer vision applications for autonomous driving, robotics, and human-machine interaction. His work spans driver action recognition, pedestrian prediction, and adaptive lighting systems. Current projects: Empathic Vehicle (2024–2026), SyntheticCabin (2021–2025), SmartProtect (2020–2025) Research themes: Video transformers, synthetic data transfer learning, multi-task learning, and sensor-lighting integration Specializes in 3D sensing, nighttime driving analysis, and mobile video creation tools
Univ.-Prof. Dr. Claus Staringer is Professor of Tax Law with a special focus on Corporate Tax at the Vienna University of Economics and Business Administration (WU Wien). He has served as Head of the Corporate Tax Group and Deputy Chairman of the Department of Austrian and International Tax Law since 2003, and as Director for legal Doctoral Studies since 2005. Additionally, he has been a Principal Consultant at Freshfields Bruckhaus Deringer since 2001, maintaining a strong connection between academic research and professional practice in international tax law. Staringer earned his Mag.iur. in Economics and Law from the Vienna University of Economics and Business Administration and University of Vienna, followed by a Dr. iur. with excellence (thesis: "Einlagen und Umgründungen") and habilitation in Tax Law (thesis: "Besteuerung doppelt ansässiger Kapitalgesellschaften"). His academic journey includes assistant positions at both WU Wien and the University of Vienna, blending academic rigor with practical insights from his work at Deloitte and Freshfields. His research focuses on international tax law, particularly corporate taxation, double taxation agreements, and European tax coordination. Staringer has made significant contributions to understanding dual resident corporations, cross-border reorganizations, and the interaction between EU law and tax treaties. His work bridges theoretical frameworks with practical applications in multinational tax planning and compliance. Staringer's publication record shows consistent scholarly output with emphasis on European tax developments, treaty interpretation, and corporate restructuring. His recent work addresses emerging challenges including digital economy taxation, minimum global taxation, and sustainability reporting implications for tax systems. The publications demonstrate methodological rigor with thorough analysis of case law from the European Court of Justice and international tax tribunals. Rudolf Sallinger Award (1994) for Doctoral Thesis Mitchell B. Carroll Prize of the International Fiscal Association (1999) Albert Hensel Prize of Deutsche Steuerjuristische Gesellschaft (1999) Gerhard Thoma Prize of German Institute of Tax Consultants (1999) Award for academic achievements from IFA National Committee (2000) Award for "Innovative Teaching" at WU Wien (2006) Staringer has been instrumental in developing the European Tax Moot Court program and has supervised numerous doctoral candidates through his role as Director of legal Doctoral Studies. His professional engagements include significant contributions to EU tax policy discussions, particularly regarding the Common Consolidated Corporate Tax Base (CCCTB) and the implementation of the OECD's BEPS recommendations in European jurisdictions. He leads the Corporate Tax Group at WU Wien, which has established itself as a leading research center for Austrian and international tax law. The group regularly organizes the Vienna Symposium on International Tax Law and contributes to major research projects on international tax coordination, including EU-funded initiatives examining cross-border tax challenges in the single market.
Mathias Beiglboeck is a Professor at the Faculty of Mathematics, University of Vienna. His research spans Probability, Optimal Transport, and Mathematical Finance, with a focus on martingale constraints and stochastic modeling. Doctorate in Mathematics (2004, TU Vienna) Diploma in Mathematics (2003, TU Vienna) His work bridges geometric and probabilistic methods in finance, addressing problems like the Skorokhod Embedding, Weak Martingale Transport, and applications to financial institutions. Preprints and publications highlight advancements in Wasserstein distances, causal transport, and stability analysis under martingale constraints. Notable projects and awards include the OeNB-Anniversary-Fund Project (2024-), FWF-Project on Mimicking Processes (2022-), a START-Prize (2014-2022), and early recognition for his Master's thesis (2003). Teaching roles at University of Vienna and TU Vienna cover Stochastic Processes, Financial Mathematics, and Mathematical Finance courses. 2024: OeNB-Anniversary-Fund Project 18983 (250,000 EUR) 2023: Mentor in Daniel Bartl's Esprit-Project (280,000 EUR) 2022: FWF-Project on Mimicking Processes (400,000 EUR) 2014-2022: START-Prize (1,000,000 EUR) 2012: Austrian Mathematical Society Prize 2003: Best Master's Thesis Award, Austrian Mathematical Society His research trends integrate adapted Wasserstein distances, disease modeling, and financial applications, with collaborations across institutions like TU Vienna, Bonn University, and MSRI Berkeley. Grants emphasize geometric and entropic transport methods in finance and public health contexts.
Professor Robert Eason is a leading academic at the University of Southampton, specializing in photonics and laser technology. His research spans interdisciplinary areas combining Machine Learning , Medical Diagnostics , and Microfluidics . Research Interests : Eason focuses on AI-driven laser applications, including deep learning for phototherapy , autonomous laser machining , and low-cost paper-based diagnostic devices . His work bridges photonics with biomedicine and advanced manufacturing. Recent Publications : His 2025 article in Scientific Reports explores AI simulations for psoriasis treatment, while 2024-2022 works address laser-controlled microfluidics, deep learning in microscopy, and reinforcement learning for laser machining. Supervision : He supervises PhD student Georgia Mourkioti in laser-based research projects. External Roles : Eason has served as a speaker at international conferences including the International Symposium on Laser Precision Microfabrication (2018), LAISER (2019), and Deep Learning for Control of Light-Matter Interactions (2022).
Maria Papathoma-Köhle is an Associate Professor at the Institute of Alpine Natural Hazards , University of Natural Resources and Life Sciences, Vienna. She holds a PhD in Tsunami Vulnerability Assessment from Coventry University (UK) and has held roles as Academic Coordinator of the MSc 'Risk Prevention and Disaster Management' at University of Vienna. Her research focuses on natural hazard vulnerability , particularly wildfire and flood risks in alpine regions, with methodological expertise in indicator-based vulnerability assessment and physical vulnerability indices . Education: PhD in Natural Hazards (Coventry University, UK) MSc in Environmental Management (University of Durham, UK) Geology Degree (University of Athens, Greece) Research: Specializes in wildfire vulnerability indices, flood risk modeling, and climate change adaptation frameworks. Developed the Physical Vulnerability Index (PVI) for buildings and contributed to EU-funded projects like FLOODLABEL and EXTEND. Awards: Elise Richter Scholarship (2016) Back to Research Grant (2012) Young European Scientist Award (2002) Projects: Led FWF-funded research on physical vulnerability indicators and collaborated on EU programs for wildfire preparedness. Current work includes climate change adaptation tools for Austrian infrastructure. Advising: Supervised 6 Master's/PhD students on wildfire and flood vulnerability topics. Publications: Over 106 peer-reviewed works; recent articles focus on wildfire indices, IPCC risk diagrams, and dynamic flooding assessment.
Associate Professor at the University of Klagenfurt , affiliated with the Department of Management Control and Strategic Management under the Faculty of Economics and Law . Research focuses on agent-based modeling applied to organizational dynamics , complex systems , and managerial economics . Holds a doctoral degree in Social Sciences and Economics (2012) and venia docendi in Business Economics (2018) . Core faculty member in the Self-Organizing Systems research cluster Academic editor for PLoS ONE and editorial board member for multiple journals Recipient of the 2021 Advancement Award (Humanities/Social Sciences) from Carinthian government Research integrates computational simulation with organizational theory , examining phenomena like decentralized task allocation , incentive mechanisms , and reproducibility in social sciences . Teaching portfolio includes business analytics , management control , and scientific modeling at undergraduate and graduate levels. Recent publications explore organizational resilience , team coordination dynamics , and financial modeling using agent-based simulation techniques. Active participant in international conferences like Social Simulation Conference and European Conference on Operational Research .
Erich Striessnig is an Associate Professor at the University of Vienna's Department of Demography, serving as Deputy Head of the department. He actively contributes to teaching courses such as Population Forecasting and Population, Climate Change and Sustainable Development , and collaborates with the Environment and Climate Research Hub. Research Focus : Striessnig integrates demography with climate change, sustainability, and human capital. His work examines how environmental concerns interact with fertility decisions, the role of education in climate risk mitigation, and the relationship between aging populations and temperature-related mortality. He also investigates demographic metabolism, intergenerational equity, and computational reproducibility in research. Scientific Contributions : His recent publications in Global and Planetary Health and Demographic Research include analyses of sustainable wellbeing metrics (e.g., 'Years of Good Life'), demographic responses to climate change, and methodological studies on data uncertainty. A key project, Climate, Health and Population (CHAP) , explores vulnerability differences in Vienna's metropolitan region.
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.
Shah Nawaz is an Assistant Professor at the Institute of Computational Perception , Johannes Kepler University Linz. His research focuses on multimodal systems, deep learning applications in healthcare, and cross-modal learning frameworks. He leads projects addressing challenges like missing modalities in machine learning, face-voice association, and medical image analysis. Key research interests include machine learning for medical diagnostics (e.g., breast cancer detection, skin lesion segmentation), speech recognition, and adaptive neural network architectures. He has contributed to frameworks like Chameleon for robust multimodal learning and the FAME challenge for face-voice association in multilingual environments. Publications emphasize practical applications, such as bilingual healthcare chatbots for pregnant women and light-weight speech recognition models for resource-constrained systems. His work bridges theoretical advancements and real-world deployment in healthcare and security domains. Shaw Nawaz actively participates in academic communities through workshops like DaQuaMRec@RecSys2025 and has developed open-source frameworks for image restoration and multimodal fusion. His lab focuses on scalable solutions for multimodal data challenges in both technical and clinical contexts.
Jean Ponce is a Professor of Computer Science at Ecole Normale Superieure (ENS) in Paris and a Part-Time Global Distinguished Professor at New York University's Courant Institute of Mathematical Sciences and Center for Data Science (CDS). He previously served as Director of the ENS Computer Science Department (2011-2017) and held positions at Inria (2017-2022), University of Illinois at Urbana-Champaign (1998-2006), MIT, Stanford, and Inria (1982-1985). Academic Leadership: Scientific Director of PRAIRIE Interdisciplinary AI Research Institute in Paris Startup Involvement: Co-founder and CEO of Enhance Lab (2022) Editorial Roles: Senior Editor-in-Chief of International Journal of Computer Vision (2019-2022) Conference Leadership: Chair of IEEE CVPR (1997,2000), ECCV (2008), and upcoming ICCV (2023) Research Focus: Computer vision, machine learning, robotics, and AI with applications in exoplanet imaging, 3D reconstruction, and image quality assessment. His work bridges statistical learning and deep learning approaches. Awards: IEEE Fellow (2003) ELLIS Fellow (2019) ERC Advanced Grant (2011) IEEE CVPR Longuet-Higgins Prizes (2016,2020) ICML Test-of-Time Award (2019) Patents & Publications: Co-author of influential textbook Computer Vision: A Modern Approach (translated into Chinese, Japanese, Russian). Holds two US patents and one pending French patent. Google Scholar h-index of 78 with over 55,000 citations.
Sara van de Geer is a Full Professor at the Seminar for Statistics within the Department of Mathematics at ETH Zürich since 2005. She previously held academic positions at the University of Leiden, Université Paul Sabatier (Toulouse), and others. She earned a Master's (1982) and Ph.D. (1987) in Mathematics from Leiden University. Her research focuses on high-dimensional statistics, empirical processes, and mathematical foundations of machine learning. Van de Geer has received prestigious recognitions including the Van Wijngaarden Award (2016), Knight in the Order of Orange-Nassau (2015), and membership in Leopoldina (2013). She served as President of the Bernoulli Society (2015–2017) and Chair of the Seminar for Statistics at ETH Zürich. Her contributions include landmark works on statistical learning theory and high-dimensional inference, with key publications in top journals like Annals of Statistics and SIAM/ASA Journal on Uncertainty Quantification. Her academic leadership includes organizing Saint Flour Lectures, Wald Lectures (2016), and delivering plenary lectures globally. Her research bridges theoretical statistics with applied methodologies, emphasizing rigorous mathematical frameworks for modern data analysis challenges.
Bernhard Schmidpeter is an Assistant Professor (tenure track) at the Department of Economics, WU Vienna University of Economics and Business. He specializes in institutional economics and labor economics, focusing on topics such as labor market dynamics, public policy impacts, and behavioral economics. His teaching includes courses like 'Specialization Course - Institutional Economics' in the Bachelor's program. Research interests span labor market effects of immigration, wage disparities, and health economics. He actively publishes in peer-reviewed journals and engages in policy-relevant studies. Currently affiliated with the university, he contributes to both teaching and applied research in economics and public policy.
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
Guy Joos is a Full Professor of Medicine at the Faculty of Medicine and Health Sciences, Ghent University , Head of the Department of Respiratory Medicine at Ghent University Hospital, and serves as Director of Research (Vice-Dean) at Ghent University since 2017. His academic career spans over three decades, with key roles including Chair of the Department of Internal Medicine (2014-2018) and ongoing leadership in respiratory research since 1999. Born in Ostend, Belgium (1956) M.D. and Ph.D. from Ghent University Board-certified in Internal and Pulmonary Medicine Prof Joos specializes in translational and clinical research on asthma and COPD , focusing on airway immunology, pharmacology, and pollution effects. His work at the Translational Lab for Obstructive Pulmonary Diseases has produced over 250 peer-reviewed publications with an h-index of 53. His research explores indirect bronchial provocation, miRNA expression in asthma subtypes, and ChemR23 signaling in pollutant-induced inflammation. Recent publications highlight interactions between innate lymphoid cells , TH2 responses , and air pollution . He has led pivotal clinical trials like the AZISAST study on macrolides in non-eosinophilic asthma. Fellow of European Respiratory Society (2014) Honorary Member of Lithuanian Society of Pulmonology (2012) Royal Academy of Medicine prizes (2004, 1995, 1988) Prof Joos has supervised 16 Ph.D. students since 1998, contributed to guidelines like the ERS Task Force on Indirect Challenges , and held editorial roles at journals including Respiratory Research and American Journal of Respiratory and Critical Care Medicine . He served as President of the European Respiratory Society (2016-2017) and the Belgian Thoracic Society (2010-2012).
Markus Neureiter is a Senior Scientist at the Institute of Environmental Biotechnology within the Department of Agricultural Sciences at the University of Natural Resources and Life Sciences, Vienna (BOKU). His research focuses on environmental biotechnology applications, particularly in bioprocess engineering, fermentation technologies, and waste valorization for sustainable chemical and biopolymer production. Key Research Areas: Bioprocess engineering, PHA production from agricultural and industrial waste, volatile fatty acid platform development, biorefinery processes, and renewable energy systems. Recent Trends: Publications emphasize pilot-scale biopolymer production, carbon source optimization, and integration of enzymatic pretreatment with microbial fermentation. Academic Awards & Community Services: Markus serves as a reviewer for journals including PLoS One , Metabolic Engineering , and Renewable Energy . He has organized conferences like the European Biotechnology Congress and contributed to EU-funded projects such as CAFIPLA and VOLATILE. Supervised Students: Guided 16 university theses (PhD and Master's) on topics like biopolymer synthesis, yeast cultivation, and waste-to-chemicals strategies.
