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Maria WirzbergerView profile

Professor

• Cognitive Psychology
• Human-Computer Interaction
• Instructional Design
• +12 more

Maria Wirzberger is a tenure-track professor at the University of Stuttgart, where she leads the Department of Teaching and Learning with Intelligent Systems and serves as spokesperson for the Stuttgart Research Focus "Interchange Forum for Reflecting on Intelligent Systems" (SRF IRIS). She is also co-director of the Artificial Intelligence Software Academy (AISA) and part of the Cyber Valley ecosystem, Europe’s largest AI research consortium. Her interdisciplinary research bridges cognitive psychology, human-computer interaction, instructional design, and artificial intelligence. Research Interests: Modeling and simulation of human cognition using cognitive and connectionist approaches Advanced statistical modeling (multilevel models, time series, structural equation models) Distraction, interruption, and attention control in applied settings Multimodal cognitive load assessment via performance, behavior, and physiology Design of adaptive, assistive, and responsible intelligent systems Individual differences in HCI (age, neurodiversity, technology affinity) Trust, bias, and critical reflection in human-AI interaction Her recent publications focus on cognitive load in learning, system delays in virtual training, interruption modeling using ACT-R, and adaptive feedback mechanisms. The work spans experimental, computational, and applied domains, increasingly extending to digital health, industrial robotics, and single-pilot operations. She applies lab, field, and online studies combined with user-centered software development. Scientific Awards and Grants: Erasmus+ teaching mobility grant (2018) InProTUC travel grant (2016) Research stay grant at University of Groningen "Deutschlandstipendium" scholarship (2013/14) Maria Wirzberger has supervised several theses and has been involved in grant-funded research such as the DFG Research Training Group "CrossWorlds". She actively reviews for top journals and conferences and holds leadership roles in academic service. She has organized symposia and workshops and is a member of numerous professional societies including the Cognitive Science Society, ACM, and APA. Labs and Teams: She leads a research team at the University of Stuttgart focused on teaching and learning with intelligent systems, embedded within the interdisciplinary Cyber Valley network. Her group develops and evaluates user-adaptive technologies using predictive analytics and cognitive science principles.

Tobias LunteView profile

Researcher

• Human-Computer Interaction
• Gaze Tracking
• Assistive Technologies
• +3 more

Tobias Lunte is a PhD student and research assistant at the University of Oldenburg's Department of Media Informatics and Multimedia Systems. His work focuses on assistive technologies for education, human-computer interaction (HCI), and multimodal interface design, particularly using gaze-tracking and augmented reality (AR) to address reading difficulties in children. He holds an M.Sc. in Engineering of Socio-Technical Systems (2020) and received the Best Thesis Award in Computer Science by OLDIES e.V. His research integrates real-time gaze behavior analysis to develop adaptive reading assistance tools, collaborating with parents, speech therapists, and educators. He also teaches courses on ethnographic methods, Gestalt principles in design, and quantitative evaluation techniques. In educational development, Tobias redesigned modules like Interactive Systems (BSc) and Human-Computer Interaction (MSc) into a cohesive HCI teaching framework. He pioneered a remote hardware-oriented Maker's Lab course during the 2020 digital semester, which was nominated for Best Course of 2019/20. His practical projects span physical computing, AR applications, and sensory notification systems for clinical environments. Scientific Awards: Best Thesis Award in Computer Science by OLDIES e.V. (2020) He supervises student projects in gaze-tracking, physical computing, and ARVR, including notable works like the Puzzle Box prototype, Sherlock AR game system, and Sensor Pet health reminder tool. His research combines technical innovation with pedagogical insights to create user-centered solutions across education and healthcare domains.

Jason R.C. NurseView profile

Professor

• Cyber Security
• Privacy
• Trust
• +3 more

Jason R.C. Nurse is a Reader in Cyber Security at the University of Kent , Director of Science and Research at CybSafe , Visiting Fellow in Defence and Security at Cranfield University , and Senior Research Fellow at Royal United Services Institute (RUSI) . His interdisciplinary research spans cyber security , privacy , and trust , integrating insights from computing , psychology , and computational social science . Research Interests : Nurse’s work examines how emerging technologies affect cyber security and privacy. He leads initiatives on risk management , human cyber risk , security awareness , and behavioral cybersecurity , contributing to debates on cyber insurance , ransomware harms , and domestic abuse via digital means . Publications and Collaborations : His recent work includes studies on human risk management , patching strategies , and cyber insurance , published in venues like Journal of Cybersecurity , ACM Digital Threats , and Computers & Security . He collaborates with institutions including the University of Oxford , CybSafe , and RUSI . Scientific Awards : Senior Research Fellow at RUSI, Associate Fellow at RUSI, Section Editor of Palgrave Encyclopedia of Cyberpsychology , and member of Google.org European Cybersecurity Seminars Advisory Committee. Students and Supervision : Supervised PhD students Clare M. Patterson and Enes Altuncu , as well as prize-winning projects on risk management and ransomware at the University of Kent. Regularly acts as an external examiner at institutions like the Open University and University of Bristol . Media and Public Engagement : A prominent voice in mainstream media, with contributions to The Wall Street Journal , BBC , The Washington Post , and The Guardian . Regular speaker at global conferences including RSA Conference , Infosecurity Europe , and London International Youth Science Forum .

• Cognitive Psychology
• Human-Computer Interaction
• Artificial Intelligence
• +7 more

Maria Wirzberger is a tenure-track Assistant Professor at the University of Stuttgart, Germany. She serves as spokesperson for the Stuttgart Research Focus “Interchange Forum for Reflecting on Intelligent Systems” (SRF IRIS), head of the Department of Teaching and Learning with Intelligent Systems, and co-director of the Artificial Intelligence Software Academy (AISA). Her research team operates within the Cyber Valley ecosystem, Europe’s largest AI research consortium. Her work sits at the interdisciplinary intersection of cognitive psychology, human-computer interaction, instructional design, and artificial intelligence. She employs experimental lab, field, and online studies alongside user-centered software development and modeling approaches to design responsible, user-adaptive assistive technologies. Initially focused on learning contexts, her research now extends to single-pilot operations, digital health, sustainable product development, and industrial robotics. Current projects investigate cognitive processes, user characteristics, and contextual factors through modeling human cognition (cognitive/connectionist approaches), advanced statistical analysis (multilevel models, time series, SEM), and multimodal cognitive load assessment (eye tracking, physiological measures, speech analysis). Key initiatives include designing adaptive assistive systems using predictive analytics, studying distraction/resumption patterns, supporting neurodiversity in HCI, and examining trust mechanisms and AI bias in human-AI interaction. Professor Wirzberger leads interdisciplinary collaborations through Cyber Valley and actively seeks research partners and students. Her leadership in the SRF IRIS forum and AISA demonstrates commitment to advancing responsible AI development while addressing critical human factors in emerging technical domains.

Susanne RauView profile

Professor

• Urban History
• Spatial History
• History of Historiography
• +5 more

Professor Susanne Rau serves as Professor for the History and Cultures of Spaces in Modern Times within the Department of History at the University of Erfurt's Faculty of Arts and Humanities. She holds multiple significant academic roles including Fellow and Spokesperson of the Kolleg Research Group at the Max Weber Center for Advanced Cultural and Social Studies, Program Supervisor for the Master's program in Collection-Related History of Knowledge and Culture, and Member of the Doctoral Committee of the Faculty of Philosophy since 2009. Her institutional leadership extends to coordinating Erasmus partnerships with universities across France, Spain, and Italy, and serving as contact person for university cooperation with Jamia Millia Islamia and Kannur University in India. Professor Rau's research establishes her as a pioneer in spatial history , with groundbreaking work on the intersections between urban development and religious practices . Her scholarship reveals sophisticated analysis of how spaces are constructed, perceived, and utilized across historical contexts, particularly examining European and South Asian urban centers. She has developed innovative frameworks for understanding urbanity as a historical concept , exploring how different cultures have conceptualized urban spaces through time. Her research on early modern European cities, especially Lyon and Hamburg, demonstrates exceptional attention to public spaces, tavern cultures, and spatial configurations that shaped social interactions. Her extensive publication record shows consistent methodological innovation, particularly in the spatial turn in historical scholarship . Recent work demonstrates increasing emphasis on comparative urban studies between European and South Asian contexts, with significant focus on Calicut (Kozhikode). Professor Rau has pioneered digital approaches to historical research through projects like the GlobMapLab , which uses computational tools to analyze historical cartographic collections, particularly the renowned Perthes collection in Gotha. Her collaborative work with the "Religion & Urbanity" research group represents a major contribution to understanding how religious practices both shape and are shaped by urban environments. 2023 Thuringian Research Prize (Basic Research) 2023 Palmes Académiques ("chevalier") 2021 Award for internationalization of the University of Erfurt 2018-2021 Distinguished Visiting Professorship at the École Normale supérieure de Lyon 2017 Gay-Lussac Humboldt Prize of the French Academy of Sciences 2017 "Geisteswissenschaften International" Prize for promoting humanities translation 2015 Vienna Prize for urban history research 2009 Heisenberg Professorship of the German Research Foundation 2008 Young Talent Award from the Alfried Krupp von Bohlen und Halbach Foundation As an academic leader, Professor Rau has directed substantial research initiatives including the "Religion & Urbanity" collaborative research group funded by the German Research Foundation, and previously served as Vice President for Research and Young Talent Development at the University of Erfurt (2014-2017). She has secured funding from prestigious organizations including the Alexander von Humboldt Foundation, German Research Foundation, and various European funding bodies. Her editorial leadership extends to co-editing the SpatioTemporality series with De Gruyter and serving on multiple journal editorial boards, significantly shaping scholarly discourse in urban and spatial history. Professor Rau leads the Erfurt SpaceTime Research group, which develops innovative methodological approaches to spatial and temporal analysis in humanities research. Her GlobMapLab initiative represents a cutting-edge integration of digital humanities with traditional historical methods, enabling new forms of analysis of historical cartographic materials. Through her extensive international collaborations spanning France, India, and Italy, she has established herself as a key figure in global scholarly networks focused on urban history, spatial analysis, and cross-cultural historical studies.

Hubert JobView profile

Professor

• Protected Area Management
• Spatial Planning
• Regional Development
• +7 more

Univ.-Prof. Dr. Hubert Job is a Senior Professor of Geography and Regional Research at the Institute of Geography and Geology, Faculty of Philosophy, University of Würzburg. His work bridges spatial planning, regional development, and environmental economics with regional focus on Central Europe, the Alps, and Africa. Research Interests : Protected area management, ecological connectivity, sustainable tourism economics, socio-economic impact analysis, cultural landscape preservation, and transnational spatial governance. Projects : Leads PlanToConnect (€301,000 sub-budget) for ecological corridor integration in Alpine spatial systems, contributes to multi-regional input-output analyses (DBU-funded), and evaluates nature tourism impacts in Lüneburger Heide, Wadden Sea, and Bavarian Forest National Parks. Awards : Recipient of the Austrian Geographical Society's Hans Bobek-Preis (2000) for exceptional contributions to geographical research. Collaborations : Chairs ARL European Working Group AlpPlan, collaborates with institutions across Sweden, Mexico, Tanzania, and Italy, and integrates UNESCO MAB frameworks into Alpine conservation.

• Social Network Analysis
• Misinformation Detection
• Human Mobility Modeling
• +4 more

Jussara M. Almeida is an established computer science researcher specializing in social network analysis, misinformation detection, and human mobility modeling. Her extensive publication record (1996–2025) demonstrates active research in web science, political communication on messaging platforms (WhatsApp/Telegram), and cloud systems. She frequently collaborates with Brazilian institutions and international partners on large-scale data projects. Research Focus: Her core interests include: Modeling information diffusion in encrypted messaging apps (WhatsApp/Telegram) Predicting human mobility patterns and privacy implications Analyzing political discourse and election-related coordination online Developing computational methods for misinformation detection Optimizing cloud/edge computing performance Publication Trends: Recent work (2021-2025) shows intensified focus on: Telegram's role in political mobilization and information dissemination Advanced techniques for identifying fake news websites and image-based misinformation Privacy-preserving mobility analysis and edge computing Child safety in live-streaming platforms Collaborations & Impact: Key collaborators include Marcos André Gonçalves, Fabrício Benevenuto, and Marco Mellia. Her research provides critical insights into real-world problems like election integrity, platform governance, and user privacy.

Jutta WeberView profile

Professor

• Technology and media theory
• Technoscience Studies
• Science and Technology Studies
• +9 more

Prof. Dr. Jutta Weber is a Professor of Media Sociology at the Institute of Media Studies within the Faculty of Arts and Humanities at the University of Paderborn, a position she has held since October 2011. She maintains an active research and teaching profile with a focus on the intersection of technology, media, and society. Her research interests span Technology and Media Theory, Technoscience Studies, Cultural Media Studies, Surveillance, Military & Critical Security Studies, and Feminist/Gender Studies. Her work critically examines how technology shapes social relations, power structures, and everyday life, with particular attention to ethical implications of emerging technologies. Analysis of her recent publications shows a strong focus on the ethical dimensions of artificial intelligence, particularly in military contexts, alongside examinations of digital platforms, surveillance technologies, and epistemological questions in technoscience. Her work often bridges philosophical inquiry with sociological analysis of technological systems. Prof. Weber teaches a diverse range of courses including Media and Technology Theories, Media and War, and specialized seminars on platform wars, surveillance, and AI ethics. Her teaching reflects her interdisciplinary approach that combines media sociology with science and technology studies. She has collaborated with researchers such as J. Hälterlein on projects related to autonomous weapons systems and maintains an active research agenda examining the societal implications of emerging technologies.

Anne TraumView profile

Research Fellow

• Organizational Psychology
• Work Psychology
• Digitalization in Workplace
• +4 more

Dr. Anne Traum is a Research Fellow at the University of Rostock’s Chair of Organizational and Work Psychology. Her work focuses on digitization effects in service industries, affect dynamics in selection processes, and professional self-development. She leads academic advising for Campus BWP MV and coordinates empirical research on vocational teacher training. Current research themes: workplace digitization, self-presentation authenticity, affect-action orientation interplay Key methodologies: scale validation, comparative case studies, organizational diagnostics International collaborations: European Association for Work and Organizational Psychology conferences Her publications since 2016 emphasize digitalization measurement (ODG/ADG scales), stress-performance relationships, and competency profile development for teachers. Active memberships include APA and Deutsche Gesellschaft für Psychologie.

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +7 more

Prof. Dr. Michael Guckert is a Professor of Business Informatics - Artificial Intelligence at the Department of MND (Management, Natural Sciences, Design) at Technische Hochschule Mittelhessen (THM). He serves as Spokesperson of the KITE Competence Center, Board member at hessian.AI, and Director at StudiumPlus. His research spans multiple domains with a strong focus on AI applications in medical contexts and multi-agent systems. Dr. Guckert's research interests center on applying artificial intelligence to solve complex problems across multiple domains. His primary focus is on medical applications, particularly using AI for electrocardiogram (ECG) analysis, cardiac pathology detection, and clinical decision support systems. He also maintains significant research in multi-agent systems for traffic simulation, model-driven development approaches, and trustworthy/explainable AI systems. His work bridges theoretical AI development with practical applications in healthcare, manufacturing, and transportation. Analysis of Dr. Guckert's recent publications reveals a clear trend toward medical AI applications, particularly in cardiology. His work on the RisKa project demonstrates how AI can interpret ECG data to detect heart conditions, with significant emphasis on explainability and trustworthiness. Parallel to this medical focus, he maintains active research in multi-agent traffic simulation systems (AGADE), acoustic emission analysis, and model-driven development approaches. The publications show increasing collaboration with medical researchers, indicating a strategic focus on interdisciplinary AI applications in healthcare. Dr. Guckert leads the RisKa project (2022-2024), a €736,682 initiative funded by the Ministry for Digital Strategy and Development, which develops an AI-based clinical decision support system for ECG analysis. His research group at THM KITE Competence Center collaborates with Justus Liebig University in Giessen on biomarker research. He has secured multiple research grants for projects involving AI in medical diagnostics, traffic simulation, and manufacturing quality control. His work demonstrates strong industry-academia collaboration, particularly in applying AI to solve real-world problems in healthcare and transportation. Dr. Guckert directs the KITE Competence Center at THM, which focuses on information technology research and applications. His team includes researchers specializing in medical AI, multi-agent systems, and model-driven development. The RisKa project team specifically brings together computer scientists and cardiologists to develop clinically useful AI tools. His work with hessian.AI positions him at the forefront of AI development in the Hesse region of Germany, facilitating collaboration between academic and industry partners.

• Explainable Artificial Intelligence (XAI)
• Time Series Classification
• Cardiology
• +6 more

Prof. Dr. Jennifer Hannig is a leading researcher in Explainable Artificial Intelligence (XAI) and computational biology at the Technical University of Mittelhessen's KITE Competence Center. Her work bridges AI transparency with applications in cardiology, digital pathology, and smart home technologies, focusing on interpretable algorithms for safety-critical domains. Junior Research Group Leader, TimeXAI project (2024-2027, €1.09M) Collaborations with Kerckhoff Clinic, CRS medical GmbH, and Veli GmbH Member of good scientific practice committee Mentor at Mentoring Hessen and AI Grid initiative Research Focus : Developing human-understandable XAI methods for time series classification, particularly in cardiovascular diagnostics and smart home monitoring. Her approach combines mathematical modeling (Petri nets) with deep learning to ensure reliable AI decision-making. Scientific Contributions : Key publications in PLOS Computational Biology , Frontiers in Digital Health , and Bioinformatics , with h-index of 8. Developed AI models for myocardial scar detection, Hodgkin lymphoma analysis, and manufacturing predictions. Poster Award – 1st Place (German Conference on Bioinformatics, 2013) ECCB 2016 Travel Award Contact: jennifer.hannig@kite.thm.de

Marcus SpechtView profile

Professor

• Learning Science
• Educational Technology
• Learning Analytics
• +5 more

Professor Marcus Specht serves as Member of the Executive Board and Head of the research professorship "Learning Science in Higher Education" at CATALPA Research Center, FernUniversität in Hagen. He holds dual academic appointments as Chair of Learning Science at FernUniversität and Chair of Digital Education in the Faculty of Electrical Engineering, Mathematics and Computer Science at TU Delft. Additional affiliations include Erasmus University Rotterdam (Erasmus School of Social and Behavioural Sciences) and Leiden University (Institute for Advanced Computer Science). With an interdisciplinary background spanning cognitive psychology and computer science, Specht's research focuses on the intersection of learning sciences and technology. His work emphasizes personalized knowledge and competency development through Learning Analytics, Artificial Intelligence for Education, Digital Skills, and Computational Thinking. Current research directions include developing methods to support educators and learners in utilizing generative AI, creating prompt templates for educational applications, and designing collaborative learning environments that integrate peer-review with AI support. Specht's recent publications reveal a strong focus on AI-driven educational technologies, particularly conversational agents for goal-setting interventions, computational thinking assessment, and learning analytics applications. His work bridges theoretical learning science with practical educational technology implementations, with increasing emphasis on mixed reality and hybrid learning environments. The publications demonstrate consistent collaboration with international researchers across European institutions. Specht holds leadership positions in major educational technology organizations including President of the European Association of Technology-Enhanced Learning (EATEL) and membership on scientific advisory boards for the Leibniz Institute for Science and Mathematics Education and Goethe Universität Frankfurt's Zukunft Lehre initiative. His career trajectory shows progressive leadership in educational technology, having previously directed the 4TU Centre for Engineering Education (2020-2024), served as Scientific Director of the Leiden-Delft-Erasmus Center for Education and Learning (2019-2024), and held professorial positions at Open Universiteit Nederland (2008-2020). His interdisciplinary approach integrates psychology, computer science, management sciences, and pedagogy to advance educational innovation. At CATALPA, Specht leverages the unique environment of 70,000 learners as a real-world laboratory for developing and implementing innovative distance learning methods across schools, colleges, and universities throughout Germany and North Rhine-Westphalia.

Ulrich KortenkampView profile

Professor

• Mathematics Education
• Digital Learning Environments
• Place Value Understanding
• +3 more

Prof. Dr. Ulrich Kortenkamp is a Professor for Mathematics Education at the University of Potsdam since October 2014, holding a position in the Institute of Mathematics within the Faculty of Mathematics and Natural Sciences. He also serves as an Adjunct Professor at Griffith University in Gold Coast, Australia since May 2020. His academic career spans multiple institutions across Germany including Martin Luther University Halle-Wittenberg, University of Applied Sciences Karlsruhe, and TU Berlin. Prof. Kortenkamp's research focuses on mathematics education, particularly in the areas of digital learning environments, computational thinking development, place value understanding, and teacher education. His work bridges theoretical frameworks with practical applications in classroom settings, with a strong emphasis on the integration of technology in mathematics instruction. He has extensively studied how digital tools, particularly the Fingu app, can enhance early mathematical understanding and how language affects place value comprehension across different cultural contexts. His recent publications reveal a strong focus on sustainable development in teacher education, cross-linguistic studies of place value understanding, the impact of digital tools on early mathematics development, geometry education, and the integration of subject knowledge with didactic approaches in teacher preparation. His research consistently addresses how digital environments can transform mathematics teaching while maintaining strong conceptual foundations. Ars legendi Faculty Prize in Mathematics category (2020) for outstanding achievements in teaching, advising, and mentoring, awarded by the Stifterverband (Donors' Association) along with major German scientific societies Prof. Kortenkamp leads several significant research projects including DigiProMIN (developing digitally supported continuing education modules for mathematics teachers), Mathematics Education in the Digital Age (fostering international exchange between University of Potsdam and Griffith University), and Place Value Understanding (investigating primary school children's mathematical development across institutions in Germany and Australia). He is also involved in the SPIES-M project focused on quality initiatives for teacher education and the QuaMath project aimed at promoting teaching quality in mathematics through teacher training courses. He directs a research group focused on mathematics didactics at the University of Potsdam, collaborating with colleagues including Prof. Dr. Birte Friedrich and Prof. Dr. Sebastian Geisler, and working with a team of researchers on various aspects of mathematics education research, including digital learning environments, teacher professional development, and early mathematics concepts.

• Distributed Systems
• System Security
• Internet Applications
• +4 more

Professor Clemens H. Cap is a Full Professor with tenure and Chair for Information and Communication Services at the University of Rostock, Germany, where he has held his position since 1997. He maintains leadership of the Information and Communication Services research group and has previously held academic appointments at the University of Zurich (including an adjunct professorship until June 2023) and the University of Mannheim. University of Rostock: Full Professor (1997-present) University of Zurich: Adjunct Professor (2004-2023) University of Zurich: Assistant Professor (1992-1995) University of Mannheim: Associate Professor (1994) Professor Cap's research focuses on distributed systems, system security, Internet applications, and social problems in computer science. His work demonstrates an evolution from early research on workstation clusters to contemporary investigations of blockchain technology, classroom response systems, and the social implications of digital technologies. His research interests encompass system architecture for distributed and ubiquitous applications, Internet services, system security, and applications of formal specification techniques. His work has been supported by the German Research Foundation (DFG), the Federal Ministry of Education and Research (BMBF), and the European Union, including participation in the European Fifth Framework Research Program. His recent publications (2014-2022) reveal a strong focus on blockchain applications, security management, and educational technologies, particularly classroom response systems. His research shows consistent thematic development with security, distributed systems, and the social impact of technology as throughlines. Professor Cap regularly gives guest lectures in the Baltic States and Switzerland, demonstrating international engagement. Honorary doctoral degree 'sub auspiciis praesidentis' by Austrian president (1989) Professor Cap is active in academic self-administration as a member of the board of the interdisciplinary research department 'Knowledge - Culture - Transformation' and as Head of the ICT Science Confederation. His teaching portfolio includes Computer Networking, Data Security, Architecture of network services, Methodology of Scientific Research, Software Development Project Distributed Systems, Research Topics in Internet Technology, Computer Science and Society, and Social Impact of IT. He has developed numerous modules that are part of summer schools and international cooperations (BaSoTI). His teaching languages are German and English, and his courses are available for continuous education programs and in-house seminars for companies.

Lena CibulskiView profile

Researcher

• Visualization
• Visual Analytics
• Human-Centered Design
• +5 more

Lena Cibulski is a Postdoctoral Researcher at the Institute for Visual and Analytic Computing , University of Rostock , Germany. Her work focuses on the design of visualization tools that empower experts to make data-informed decisions, particularly in engineering and life-science contexts where human expertise must be synthesized with large, complex data. Education PhD in Visualization, 2024 – Technical University of Darmstadt, Germany MSc in Computer Science, 2017 – Otto-von-Guericke University Magdeburg, Germany BSc in Visual Computing, 2016 – Otto-von-Guericke University Magdeburg, Germany Research Interests Lena’s research blends computer science, design, and decision theory . She investigates how interactive visualizations can amplify experiential knowledge, support preference construction, and facilitate multi-attribute choices under conflicting objectives. Key themes include: Multivariate and temporal data visualization Human factors and cognition in visual analytics Real-world, application-driven design studies in engineering and life sciences Parameter-space exploration, feature engineering, and causal analysis Publication Trends Across 2020-2025 her articles cluster around three thrusts: (1) foundational work on Pareto-based decision interfaces (PAVED, COMPO*SED), (2) empirical studies of visualization adoption and usability in manufacturing and engineering, and (3) methodological contributions toward understanding decision problems as a primary goal of visualization design. Recent papers extend these ideas to cell-signaling simulations and sustainable-development education. Scientific Awards 2024 – Best Dissertation in Computer Science, TU Darmstadt 2025 – Honorable Mention, VRVis Visual Computing Award Teaching, Outreach & Collaboration Lena currently teaches master-level courses on visualization, visual analytics, and interactive data analysis at the University of Rostock. She is open to multidisciplinary collaborations involving human factors, methodological aspects of visualization research, and real-world applications. Interested students or partners are encouraged to contact her directly.