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Bernad BatinicView profile

Professor

• Work and Organizational Psychology
• Media Psychology
• Online Research Methods
• +5 more

Bernad Batinic is a Professor at Johannes Kepler University Linz, where he serves as Head of the Department of Work, Organizational, and Media Psychology and Director of the Institute of Psychology. He has held these leadership positions since founding the department in 2005 and becoming Institute Director in 2007, and has been a university professor at JKU Linz since 2004. Batinic completed his psychology education at the University of Giessen (1995), earned his doctorate at the University of Erlangen-Nuremberg in 2001 (summa cum laude, with faculty prize), and habilitated there in 2006. He also served as a visiting professor at the University of Marburg in 2003. His academic career shows continuous progression from research assistant positions to his current leadership roles. His research primarily focuses on the relationship between work and well-being, examining how employment status affects mental health through longitudinal studies with five waves of data collection. Batinic has repeatedly demonstrated the mediating role of Marie Jahoda's latent functions of work in the relationship between employment aspects and well-being. He also investigates media psychology, particularly the use and effects of new technologies, internet-based data collection methods (including web experiments and panel research), personnel development, and opinion leadership/trendsetting phenomena. A pioneer in online research methodology, he conducted one of the first online surveys on Usenet in 1994 and published the first online guide for conducting online surveys in 1995. Analysis of Batinic's recent publications (2020-2025) reveals a strong methodological evolution toward integrating technological approaches, including wearable devices for experience sampling and objective measurement of digital behavior. His work increasingly combines traditional psychological assessment with real-world behavioral data, examining topics like fear of missing out, chatbot interactions, laughter in daily life, and the relationship between job characteristics and physical activity. The research consistently applies longitudinal and meta-analytic approaches to understand the complex relationship between work, technology, and psychological well-being. Bernad Batinic has served in numerous leadership roles at JKU Linz beyond his departmental and institute director positions. He was the spokesperson for the professorial committee of the Faculty of Social and Economic Sciences and remains an active member of various university commissions and bodies, including as department spokesperson, senate member, and member of the study commission for web sciences. Notably, in 2015 he declined an offer for a W3 professorship at the University of Trier that would have included management of the Leibniz Center for Psychological Information and Documentation. He leads a productive research team that has generated numerous publications in high-impact journals including Journal of Occupational and Organizational Psychology, Frontiers in Psychology, and European Journal of Work and Organizational Psychology. His work has practical applications in organizational settings and has informed the development of measurement tools like the New Work Values Scale (NWVS) and the Latent and Manifest Benefits of Work (LAMB) scale. Batinic has also co-founded several companies related to his research, including Globalpark AG (now Questback), tivian GmbH, and respondi AG, where he served in advisory capacities.

Thomas ForstnerView profile

Senior Lecturer

• Medical Statistics
• Biostatistics
• Dental Implant Research
• +3 more

Thomas Forstner is a Senior Lecturer and Deputy Head of the Department of Applied Systems Research and Statistics at Johannes Kepler University Linz. With over 15 years of academic experience, he has established himself as a prominent researcher in medical statistics with a particular focus on dental implant studies and clinical research methodology. His educational background includes: Bachelor's degree in Statistics from Johannes Kepler University Linz (2005), with thesis on "Imputation methods in Austrian economic statistics" and "Selected multiple test procedures" Master's degree in Statistics from Johannes Kepler University Linz (2007), graduated with distinction, with thesis on "ROC curves as a means of evaluating classification schemes" Dr. Forstner's research primarily focuses on medical statistics, particularly in dental implantology and clinical research. His work examines classification systems, covariate adjustment in medical studies, and statistical methodology for clinical trials. He has made significant contributions to understanding factors affecting dental implant success, sinus augmentation procedures, and bone regeneration techniques. His research bridges statistical methodology with practical clinical applications, providing valuable insights for both statisticians and medical professionals. His recent publications demonstrate a strong trajectory in dental implant research, with particular emphasis on sinus augmentation techniques, bone grafting materials, and long-term outcomes of implant procedures. He has also maintained an active interest in statistical methodology, particularly in multiple testing procedures and educational applications of statistics. Dr. Forstner is actively involved in teaching statistics across multiple disciplines including Business Informatics, Computer Science, and AI. He also teaches specialized courses in Biostatistics and Clinical Research at both JKU and external institutions including the University of Applied Sciences for Health Professions in Linz and Steyr.

• Cybersecurity
• Data Protection
• Security Requirements Engineering
• +3 more

Nicola Zannone serves as Associate Professor and Chair of the Data Protection research group within the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). He holds a PhD in Computer Science from the University of Trento (2007), where his dissertation focused on security requirements engineering during a research visit to the Center for ... Research Focus: His work centers on cybersecurity with emphasis on data protection, phishing defense mechanisms, and access control systems. Recent investigations explore emerging threats like quishing and LLM-generated phishing attacks, autonomous navigation security, and industrial control system vulnerabilities. His research uniquely bridges technical security solutions with human behavioral factors in organizational contexts. Publication Trends: Between 2024-2025, Zannone's output demonstrates growing attention to AI-powered threats and automated vulnerability mitigation. His systematic reviews and empirical studies consistently address practical security challenges in critical infrastructure and software supply chains, reflecting industry relevance through collaborations with security practitioners. Leadership Roles: As Chief Editor for Computer Security (Frontiers in Computer Science) and Associate Editor for Cybersecurity and Privacy (Frontiers in Big Data), he shapes discourse in security research. His editorial work on topics like "Generative AI for Cybersecurity" highlights forward-looking engagement with evolving threat landscapes.

• Visual Analytics
• Artificial Intelligence
• Data Visualization
• +3 more

Roberto Therón is a Full Professor of Computer Science at the University of Salamanca, Spain, and a leading researcher in the GRIAL Group specializing in visual analytics and its interdisciplinary applications. His educational background includes: PhD in Computer Science BA in Audiovisual Communication BA in Humanities Dr. Therón's research spans visual analytics, artificial intelligence, data visualization, educational technology, human-computer interaction, and sustainability. He develops innovative platforms like LATILL for language learning and DETAILLs for AI-driven sustainable living labs, emphasizing user-centered design and domain-specific knowledge integration. His work bridges technical AI development with practical educational and sustainability applications through interdisciplinary collaboration. Analysis of his 2023-2025 publications reveals a dominant trend toward generative AI integration in educational tools, meta-modeling for reusable open educational resources, and context-aware data visualization techniques. His research consistently focuses on enhancing user experience through heuristic evaluation, domain knowledge incorporation, and sustainable AI frameworks across language learning, poetic analysis, and dashboard design. No scientific awards are mentioned in the available information. While specific advising details are unlisted, his leadership in the GRIAL Group and extensive co-authorship network (including Alicia García-Holgado, Andrea Vázquez-Ingelmo, and Francisco José García-Peñalvo) indicate active research supervision. His editorial roles as Chief Editor for Human-Media Interaction at Frontiers in Computer Science and Review Editor for Data Visualization at Frontiers in Bioinformatics demonstrate scholarly influence beyond direct research. As a core member of the GRIAL Group (Research Group in Applied e-Learning), Dr. Therón contributes to advancing e-learning through projects focused on open educational resources, AI-enhanced language platforms, and sustainability-driven living labs. The group emphasizes practical implementation of theoretical frameworks in real-world educational and environmental contexts.

• Computer Vision
• Explainable Machine Learning
• Statistical Models in AI
• +3 more

Siavash Arjomand Bigdeli serves as an Associate Professor of Computer Vision at the Technical University of Denmark, following prior employment as a scientist at the Swiss Center for Electronics and Microtechnologies (CSEM). His research focuses on: Ante-/Post-Hoc explainability of machine learning models Integration of statistical models in learning/inference processes Philosophical methodologies in artificial intelligence development Advanced computer vision techniques for visual understanding Recent publications reveal consistent specialization in image restoration and stereo vision, employing deep learning architectures and probabilistic graphical models to solve core challenges in visual data reconstruction and temporal coherence. His work demonstrates strong interdisciplinary connections between theoretical machine learning, practical computer vision applications, and epistemological considerations in AI systems.

• Museology
• Consumer Aesthetics
• Digital Humanities
• +3 more

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.

• Art Historical Canonization Processes
• Art and Theory of the Italian Renaissance
• Art and Theory of Classical Modernism
• +5 more

Teresa Kamencek is a research associate (pre-doctoral researcher) at the University of Vienna's Faculty of Historical and Cultural Studies, Institute of Art History, where she is pursuing her PhD in the FWF-funded project 'ArtVis: Dynamic Network Perspectives on Digital Art History' in collaboration with the Vienna University of Technology. Her academic background includes: PhD Candidate since January 2023 Master of Arts in Art History from University of Vienna (November 2022) Bachelor of Art History from University of Vienna (July 2020) Dr. Kamencek's research innovatively bridges traditional art historical scholarship with digital methodologies. Her work examines art historical canonization processes through network analysis, with particular focus on the Italian Renaissance, Classical Modernism, and the history of abstraction. Her doctoral project investigates the temporal and geographical dynamics of modern artist groups, representing a cutting-edge approach to understanding artistic networks and influences. Her scholarly output demonstrates a strong trajectory in digital art history methodologies, with conference presentations on visual analytics of network centrality and temporal characterization of artist exhibition activity in 2023. Dr. Kamencek's significant contributions have been recognized through competitive awards: 2022 Scholarship from Baumgart Foundation 2023 Sir Ernst Gombrich Young Talent Award from Art Historical Society 2023 Emanuel and Sofie Fohn Scholarship With four years of teaching experience as a Tutor and research assistant roles at the Institute of Art History, Dr. Kamencek brings both pedagogical expertise and research acumen to her academic work. Her affiliation with the Laboratory for Empirical Image Science (CReA) positions her at the forefront of methodological innovation in art historical research.

Luise ReitstätterView profile

Research Fellow

• Exhibition Studies
• Museum Communication
• Visual Cultural Analysis
• +5 more

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.

Raphael RosenbergView profile

Professor

• Art History Methodology
• Cognitive Approaches to Art History
• Perception of Art
• +7 more

Raphael Rosenberg serves as Professor and Deputy Head of the Department of Art History at the University of Vienna within the Faculty of Historical and Cultural Studies. His academic profile demonstrates a unique blend of traditional art historical expertise with cutting-edge interdisciplinary approaches, particularly in applying cognitive science methodologies to the study of art perception. Rosenberg maintains an active teaching schedule covering core art history methodology, thesis supervision, and specialized courses on avant-garde movements and art networks. Rosenberg's research interests focus on the intersection of art history with cognitive science and digital humanities. He has pioneered the application of eye-tracking technology to investigate how viewers engage with artworks, challenging traditional assumptions about visual perception in art. His work spans from Renaissance studies (particularly Michelangelo) to early 20th century avant-garde movements, with a special emphasis on the role of exhibitions as platforms for artistic innovation. The Database of Modern Exhibitions (DoME) project represents a significant contribution to documenting European painting and drawing exhibitions between 1905-1915. Analysis of Rosenberg's recent publications reveals a clear trajectory toward increasingly interdisciplinary research that bridges art historical scholarship with empirical methods from cognitive science. His work consistently demonstrates how digital tools and empirical methodologies can enhance traditional art historical inquiry, particularly in understanding viewer engagement with artworks. The recurring themes across his publications include the cognitive processes involved in art perception, the historical development of exhibition practices, and methodological innovations in art historical research. Rosenberg maintains an extensive collaborative network across disciplines, frequently working with psychologists, computer scientists, and other art historians. His research group appears to focus on empirical approaches to art history, particularly through the use of eye-tracking technology in museum settings. The Database of Modern Exhibitions project represents a major collaborative effort to document exhibition practices during a crucial period of artistic innovation in the early 20th century.