Aljoscha Neubauer is a Professor at the Institute of Psychology, University of Graz, Faculty of Natural Sciences. He focuses on intelligence research, cognitive enhancement, personality assessment, and educational psychology, with a strong emphasis on self-estimates of abilities, teacher selection, and neuroscientific implications of enhancement technologies. Research networks: Brain and behavior, Human Factor in Digital Transformation Leadership roles: Past President of Austrian Society of Psychology (2016–2020), International Society for Intelligence Research (2014), ISSID (2009–2011) Research Interests Intelligence and its neurocognitive underpinnings Cognitive enhancement acceptance and ethical implications Self-assessment accuracy and metacognition Personality traits in educational and professional contexts Psychometric validation of diversity and creativity assessments Scientific Awards Franz-Emanuel-Weinert Prize (2024) from the German Society for Psychology Lifetime Achievement Award (2022) from the International Society for Intelligence Research William Stern Prize for Differential Psychology (1997) Advising : Mentors doctoral students in intelligence, personality, and educational psychology, with consortia fostering international collaboration and interdisciplinary training via the Research Careers Campus. Regularly contributes to teacher training quality assurance and journal editorial work.
Dr. Pavlos Topalidis is a Greek cognitive neuroscientist and PhD candidate at the University of Salzburg's Centre for Cognitive Neuroscience (CCNS), working in the laboratory for Sleep and Consciousness Research under the supervision of Univ.-Prof. Dr. Manuel Schabus. Since October 2023, he has served as a Junior Lecturer at the University of Salzburg, teaching Human Cognition and Sleep at both Bachelor and Master's levels. His educational background includes: PhD student at University of Salzburg (since 2019), Centre for Cognitive Neuroscience MSc in Neuro-Cognitive Psychology from Ludwig-Maximilians-Universität Munich (2017-2019) BSc (Hons, first class) in Psychology from University of Aberdeen, UK (2012-2016) Research visit at Yale University (2022) Dr. Topalidis's research focuses on information processing during sleep, particularly predictive coding and statistical learning mechanisms. His work explores how the brain processes information across wakefulness and sleep states, with applications in sleep monitoring using wearable technology. He investigates oscillatory brain activity patterns and their relationship to cognitive functions, with additional interests in cultural variations in sleep patterns and insomnia treatments. His technical expertise spans multiple neuroimaging methods including EEG, MEG, fMRI, and actigraphy, with advanced programming skills in Matlab and R for data analysis. His scientific contributions have been recognized with multiple awards including a poster award at the Sleep, Cognition and Consciousness Winter Symposium (2023) and a project presentation award at the ESRS Sleep School (2021). His research has led to numerous publications focusing on sleep classification algorithms, cross-cultural sleep studies, and the application of physiological measures to understand mental states. February 2023: Poster award at Sleep, Cognition and Consciousness Winter Symposium November 2022: Salzburg University research stay funding at Yale University (1700€) October 2022: Shortlisted for best poster award at the 26th European Sleep Research Society Conference September 2021: ESRS 3rd Sleep School project presentation award October 2013: ERASMUS scholarship As a Junior Lecturer, Dr. Topalidis mentors undergraduate and graduate students in cognitive neuroscience and sleep research. His current projects involve developing low-cost sleep monitoring solutions using wearable technology and investigating predictive coding mechanisms during sleep. He has also completed specialized training in Cognitive Behavioral Therapy for Insomnia (2023) and Good Clinical Practice (2022). Dr. Topalidis is an active member of the Sleep and Consciousness Research laboratory at the Centre for Cognitive Neuroscience, collaborating with researchers across Europe. His work bridges basic cognitive neuroscience with clinical applications, particularly in developing accessible sleep monitoring tools and understanding sleep's role in cognitive processing and memory consolidation.
Michael Barber is a Scientist specializing in Innovation and Industrial Dynamics, with research spanning R&D collaboration networks, intellectual property, and spatial interaction modeling. He actively contributes to European research initiatives such as the EUPRO project, focusing on project-based collaboration databases and policy analysis. Research Interests: His work emphasizes: Innovation ecosystems and industrial R&D patterns Quantitative analysis of spatial interactions and network communities FAIR metadata standards for research data interoperability European policy frameworks for intellectual property protection Recent publications highlight trends in European collaborative research, intellectual property law, and sustainable energy data management, using advanced statistical and network analysis techniques. No information is available regarding lab affiliations, supervised students, or scientific awards.
Karin Weber is a researcher at the Institute of Landscape Planning within the University of Natural Resources and Life Sciences, Vienna (BOKU). Her work focuses on landscape planning, disaster risk reduction, and gender-sensitive approaches in natural hazard management. Department: Institute of Landscape Planning University: University of Natural Resources and Life Sciences, Vienna (BOKU) Contact: karin.weber@boku.ac.at Karin's research interests span disaster risk reduction , climate adaptation , natural hazards , and gender aspects in environmental policy . She has contributed to projects analyzing flood risk management, climate change governance, and risk communication for migrants. Her recent publications highlight gender-sensitive planning , social contracts in flood risk systems , and community resilience strategies . She has supervised master's theses on flood risk management in Steyr and Kremsmünster. Key Projects: Career Opportunities for Women in Forestry (2023–2028) Mentoring for Women in Forestry (2019–2021) AlpGov Climate Adaptation Study (2017–2019) EXTEND Extreme Events Documentation (2016–2019)
Sibylle Moser is a Professor at the University of Applied Sciences St. Pölten, where she serves as Head of the Center for Cultural and Creative Industries and Senior Researcher in the Media Creation Research Group at the Institute of Creative\Media/Technologies. Her academic trajectory includes prior positions as Professor of Media Studies & Cultural Management at UAS Kufstein (2017-2023), CEO of Community Radio Orange 94.0 (2011-2017), and visiting professorships at the University of Vienna. Her research employs systemic models and embodied cognition frameworks to investigate: User/visitor experience in museums and gardens Mixed-method designs for empirical art/culture studies Cognitive semiotics of intermodal analogy in multimedia Cross-disciplinary connections between media theory and practice Her publications exhibit strong thematic continuity in analyzing how embodied cognition shapes meaning-making across artistic media, with recent focus on sensory dimensions of cultural experiences. She leads the Center for Cultural and Creative Industries and collaborates within the Media Creation Research Group, developing transdisciplinary approaches to digital culture and creative technologies.
Ugur Öztürk is an Assistant Professor in the Department of Geography and Regional Research within the Faculty of Earth Sciences, Geography and Astronomy at the University of Vienna, specializing in landslide risk assessment and environmental modeling. His work directly contributes to UN Sustainable Development Goals through disaster risk reduction research. His academic credentials include: PhD in Earth Science from Universität Potsdam (awarded February 21, 2019) MSc in Civil Engineering for Risk Mitigation from Politecnico di Milano (awarded October 5, 2012) BSc in Civil Engineering (awarded June 30, 2010) Öztürk's research employs statistical learning models and physics-based simulations to analyze landslide triggers like earthquakes and heavy rainfall, with recent expansion into urban landslide impacts. His fingerprint reveals dominant expertise in Earthquake Trigger (100%), Spatial Analysis (100%), Urban Development (100%), and Heavy Rainfall (100%) within Earth and Planetary Sciences. He has received significant recognition: Postdoc Award in Natural and Engineering Sciences of the State Brandenburg (2023) Univerlecco Master's Scholarship (2010) Öztürk currently leads the €2.3M research project Getting Ahead of Landslides: Understanding Social and Environmental Interactions to Anticipate Future Urban Landslide Risk (UrbanSlide) (2025-2030), securing major grant funding. He maintains active public engagement through 7 press/media contributions, including interviews on landslide disasters and climate challenges covered by 16+ news outlets and 92+ social media accounts.
Ines Helm serves as Professor of Economics at the Department of Economics within the Faculty of Social Sciences, Economics & Business at Johannes Kepler University Linz. Her research program focuses on critical issues in applied economics and labor markets, with particular expertise in local labor market dynamics, wage inequality, job displacement effects, and labor market power structures. At JKU Linz, she teaches advanced courses including Advanced Microeconometrics, Regional Labor Markets, and Labor Economics. Dr. Helm earned her PhD from University College London's Department of Economics and Centre for Research and Analysis of Migration. Prior to her current position, she held academic appointments as Assistant Professor at Stockholm University and Associate Professor at LMU Munich, establishing an international research profile before joining JKU Linz. Her research examines how structural economic changes impact workers, particularly investigating wage dynamics following manufacturing sector displacement, the prevalence of labor market power in wage setting, and heterogeneity in workplace wage growth patterns. Helm's methodological approach typically leverages large-scale administrative datasets and sophisticated econometric techniques to address policy-relevant questions about labor market functioning. Helm's publication record demonstrates consistent contributions to top economics journals including the Review of Economic Studies, American Economic Journal: Applied Economics, and Journal of Urban Economics. Her work shows a clear progression from examining trade shock impacts on local labor markets to more recent investigations of fiscal policy responses and gig economy trends, reflecting both methodological sophistication and policy relevance. Young Labour Economist Prize (2017) from the European Association of Labour Economists Project leader at Rockwool Foundation Berlin Research associate at the Institute for Employment Research (IAB) Member of CEPR, CesIfo, and IZA research networks Currently leading the research project 'Active Learning in Firms and the Sources of Wage Inequality' (2025-2027), Professor Helm maintains an active research agenda examining how on-the-job training and skill development contribute to wage disparities. Her extensive professional network includes collaborations with researchers across Europe and affiliations with major economic research institutions including the Centre for Research and Analysis of Migration at UCL and the Regional Economics Committee of the German Economic Association.
Dipl.-Ing.Dr.nat.techn. Alois Simon M.Sc. is a Lecturer at the University of Innsbruck and Guest Researcher at the Institute of Forest Ecology, University of Natural Resources and Life Sciences Vienna (BOKU). His work focuses on forest site ecology in mountain forests, integrating bioclimatic modeling, soil science, and spatial analysis to inform forest management and conservation. PhD in Spatial Modeling for Forest Site Classification (BOKU, 2016-2021) MSc in Applied Geoinformatics (University of Salzburg, 2010-2013) Co-leader of forest site classification initiatives in Tyrol Research spans bioclimatic zonation , tree regeneration dynamics , and soil property modeling , with a focus on Alpine and Patagonian ecosystems. Recent publications analyze climate change impacts on forest succession and carbon sequestration. His 15 most recent articles address topics like forest soil pedogenesis in Patagonia, microclimatic variations, and uncertainty in bioclimatic datasets. Key keywords include Forest Ecology , Climate Change , and Spatial Modeling . Scientific awards include the Walter Kubiena Preis (2022). He has supervised master's theses on soil dynamics in Patagonian forests and Tangel humus in the Alps. Active in community services, Simon serves as reviewer for scientific journals and advisory board member for the Austrian Forest Site Ecology Society. He organizes workshops on climate-resilient forest management.
Carola Korhummel is a University Assistant and Pre-Doctoral Researcher at the Laboratory for Empirical Image Studies (CReA) within the Institute of Art History, Faculty of Historical and Cultural Studies at the University of Vienna. Her work bridges museology, consumer culture studies, and digital humanities through empirical research methodologies. Her academic background includes: BA in Literature, Art and Media Studies from University of Konstanz and Boğaziçi University (2011-2015) MA in Art History and Museology (double degree) from University of Heidelberg and École du Louvre (2015-2018), awarded the semester prize for her thesis 'Lidl is worth it. Museological considerations on the aesthetics of the supermarket' Dr. Korhummel's research investigates the emotional and commercial dimensions of contemporary art museums using eye-tracking and spatial analysis. She examines how exhibition design transforms visitor experiences into marketable commodities, with particular focus on the tension between high art and consumer aesthetics. Her methodological innovation lies in applying empirical social science tools to traditional art historical questions, revealing measurable patterns in audience engagement. Recent publications demonstrate a clear trajectory toward data-driven museology, with her 2024 eye-tracking blog and 2025 exhibition analysis chapter establishing empirical visitor studies as critical to understanding 21st-century museum practices. These works collectively emphasize the necessity of quantitative methods in analyzing aesthetic experiences previously considered subjective. Her notable recognition includes: Semester prize of the Institute for European Art History As a pre-doctoral researcher, Dr. Korhummel actively contributes to teaching and lab development while advancing her dissertation. She participates in grant-funded projects like the Getty Summer Institute collaborations but does not currently hold independent research grants. Her supervision focuses on undergraduate research within the Laboratory for Empirical Image Studies. The Laboratory for Empirical Image Studies (CReA) serves as her primary research base, conducting interdisciplinary projects that merge art historical scholarship with digital tools. Current initiatives include mobile eye-tracking experiments across Viennese museums and spatial mapping of visitor pathways, positioning CReA at the forefront of empirical approaches to visual culture studies.
Dr. Luise Reitstätter is a cultural scientist affiliated with the University of Vienna’s Department of Art History. She currently serves as a Visiting Scholar at King’s College London and the University of the Balearic Islands while leading the FWF-DFG project 'The Museum Gaze'. Previously, she headed the Laboratory for Cognitive Research in Art History (2017-2025) and held research/teaching positions at the University of Applied Arts Vienna and University of Salzburg. Her research examines: Exhibition practices : Analyzing visitor interactions, label usage, and spatial design in museums Cultural participation : Projects like 'Right to the Museum?' exploring accessibility and community engagement Visual methodologies : Employing eye-tracking and video analysis to study art perception Commons movements : Investigating collaborative cultural production and design innovation Her 15 most recent publications (2023-2025) focus on museum studies, visitor behavior analysis, and curatorial methodologies. Key trends include multimodal analysis of gallery interactions, institutional self-reflection, and participatory research designs. She employs interdisciplinary approaches bridging art history, sociology, and cognitive science. Notable projects include: PI for 'Say it Easy. Say it Out Loud' (language accessibility in museums) Co-PI for 'City-Country-Image' (archival studies of rural representations) Development of mobile eye-tracking protocols for exhibition spaces She leads the Laboratory for Cognitive Research in Art History, advancing empirical studies of art reception and museum experiences.
Waltraud Huyer is a faculty member at the Department of Mathematics, Faculty of Mathematics, University of Vienna. Her office is located in Room 04.120 at Oskar-Morgenstern-Platz 1, 1090 Wien, Austria. She actively teaches courses including Numerical Mathematics and Introduction to Mathematics for both undergraduate and secondary school teacher accreditation programs. Her research spans Global and Local Optimization , Numerical Analysis , Data Analysis , Protein Folding , and Population Dynamics with structured populations. She develops advanced optimization algorithms like SNOBFIT for noisy environments and MINQ8 for quadratic programming, while applying mathematical techniques to biological problems such as protein structure prediction and age-structured population modeling. Analysis of her 14 most recent publications (1994-2018) reveals three dominant research thrusts: (1) Algorithmic development in global optimization (7 papers), including multilevel coordinate search and exact penalty functions; (2) Mathematical biology applications (5 papers), particularly in protein folding and population dynamics; (3) Computational verification methods (2 papers) for linear systems and feasibility problems. Her work consistently bridges theoretical mathematics with practical computational implementations. Her scientific contributions include widely-used algorithms implemented in MATLAB, such as the MCS global optimizer and SNOBFIT for noisy optimization, available through the University of Vienna's software repository. Huyer supervises teaching activities for foundational mathematics courses, emphasizing practical computational skills using MATLAB for numerical analysis and regression problems. Her teaching materials include detailed exercise sets with structured assessment criteria requiring both theoretical understanding and programming implementation.
