Find Academic Supervisors

Hannes PetrowskyView profile

Researcher

• Business Psychology
• Negotiation Dynamics
• Behavioral Economics
• +5 more

Dr. Hannes Petrowsky is a Senior Research Associate at the Chair of Business Psychology, Social Psychology & Experimental Methods at Leuphana University of Lüneburg. He earned his M.Sc. in Management & Marketing (2017-2019) and completed his Ph.D. on first-offer effects in negotiations (2020-2023). Academic Affiliation: Institute for Management & Organization (IMO) Location: Universitätsallee 1, C6.419, Lüneburg Contact: hannes.petrowsky@leuphana.de | +49.4131.677-1437 His research spans negotiation psychology , consumer behavior , and the impact of digital technologies (e.g., big data, machine learning, AI, VR). He investigates anchoring effects, price-ending strategies, and socially innovative transformations through inclusive working environments. Key Trends in Recent Publications: Analysis of concession patterns in negotiations using behavioral economics principles Development of immersive VR frameworks for skill acquisition Behavioral science-driven interventions for climate change mitigation Meta-analyses of negotiation dynamics across 25-26 million real-world transactions Exploration of technology adoption in public health contexts Dr. Petrowsky contributes to projects like the Digital Transformation Lab and MEHRCE (circular economy initiatives). His work bridges experimental psychology with digital innovation and sustainable entrepreneurship .

Dieter OhrView profile

Professor

• Political Sociology
• Voter Behavior
• Political Communication
• +3 more

Prof. Dr. Dieter Ohr is a Professor of Methods of Empirical Social Research at the Free University of Berlin since 2006. Previously, he held positions at the University of Cologne and Justus Liebig University Giessen. His career spans empirical analyses of voter behavior, political communication, and electoral systems. Diploma in Political Science (1989) Diploma in Economics (1991) Doctorate in Economics and Social Sciences (1995, University of Cologne) Ohr’s research focuses on political sociology , voter behavior , candidate image , and media effects . His work often examines long-term electoral trends , social identity , and radical party dynamics . His publications include empirical studies on federal elections , right-wing voting , and political campaigns . Recent articles analyze 2017 Bundestag elections , papal communication , and religious influence in politics. Earlier works explore NSDAP propaganda , candidate priming , and individual voter decision-making . Scientific Awards include a doctoral scholarship from the German National Academic Foundation. Grants include funding from the German Research Foundation (DFG) and the Fritz Thyssen Stiftung . He has contributed to projects on political communication , voter trends , and candidate effects . Ohr is affiliated with the Otto Suhr Institute for Political Science and the Political Sociology Unit at Free University Berlin. He collaborates with scholars like Markus Klein , Hermann Dülmer , and Robert Stelzle .

• Privacy and Cybersecurity
• Service and Business Model Innovation
• IoT Ecosystems
• +1 more

Prof. Dr. Patrick Cichy is an affiliated professor at the Institute for Technology and Innovation Management (TIM) of RWTH Aachen University and also associated with Bern University of Applied Sciences. His research agenda lies at the intersection of information systems, innovation management, and data science, with a core focus on privacy & cybersecurity, service and business-model innovation, IoT ecosystems, and text mining/visual analytics. Research Interests: Privacy & Cybersecurity: Investigating how individuals and organizations balance privacy concerns with data sharing incentives, especially in emerging technology contexts. Service & Business Model Innovation: Examining how firms create and capture value from digitally enabled services and personal data. IoT Ecosystems: Studying the dynamics of value creation, legitimacy, and privacy within interconnected Internet-of-Things environments. Text Mining & Visual Analytics: Leveraging advanced computational techniques to map and analyze large-scale discourse and innovation patterns. Across his latest publications (2014–2024), a clear thematic trajectory emerges: an evolving exploration of privacy calculus and data-sharing behavior, methodological advances in text mining for innovation studies, and longitudinal analyses of privacy discourse spanning three decades. These works collectively contribute to both theoretical development and practical guidance for policymakers and managers navigating digital transformation. Contact: Email: cichy@time.rwth-aachen.de Office hours: By appointment

Andreas BeyerView profile

Professor

• Aging Research
• Proteomics
• Systems Biology
• +5 more

Prof. Dr. Andreas Beyer holds a faculty position at the University of Cologne, affiliated with the Cluster of Excellence Cellular Stress Responses in Aging-Associated Diseases (CECAD) and the Cologne Excellence Cluster for Cellular Mechanisms in Cancer (CMMC). His research focuses on systems-level analysis of aging processes in humans and model organisms, integrating genomic, proteomic, and computational approaches. Key interests include understanding how genetic variation influences protein networks, developing algorithms for big data analysis, and exploring epigenetic mechanisms related to longevity. Research projects include studying age-associated changes in transcriptional elongation, molecular networks in kidney disease, and the impact of dietary restriction on aging. His group develops tools for proteomics and systems biology, such as methods for analyzing limited proteolysis data and single-cell resolution imaging. Collaborative efforts emphasize translational research in aging-related diseases and drug discovery. Prof. Beyer’s work spans computational biology, molecular genetics, and translational medicine. Notable contributions include identifying epigenetic changes linked to longevity and developing predictive models for age-related disease progression. His lab’s projects often involve multi-omics integration and network-based analyses to uncover disease mechanisms. His research has implications for personalized medicine, cancer biology, and interventions to extend healthspan. Current efforts include optimizing drug combinations targeting aging processes and advancing proteomic technologies for clinical applications.

Gisela B. FritzView profile

Researcher

• Limnology
• Restoration Ecology
• Invasive Species
• +3 more

Gisela B. Fritz is a Researcher at the Institute of Biomaterials and Biomolecular Systems at the University of Stuttgart. She specializes in limnology, restoration ecology, and invasive species research, particularly focusing on Craspedacusta sowerbii , native crayfish, and crayfish plague. Her work integrates field studies with molecular analyses to understand species distribution and phylogeny. Education: She holds a Master of Arts in Biology from Humboldt State University (USA) and a PhD in Biology from the University of Stuttgart (2007). Her doctoral thesis explored dynamics and stability in lacustrine systems. She also served as a Junior Scientist at Environmental Consulting in California (1998–2001). Teaching & Leadership: Since 2009, she has held roles such as Study Guide for the Joint Commission for Mechanical Engineering and Program Manager for the B.Sc. Technical Biology. She teaches courses like Monitoring and Documentation of Aquatic Systems , Aquatic Ecology , and Marine and Freshwater Algae . Her teaching spans undergraduate and graduate levels, emphasizing practical fieldwork (e.g., excursions in Croatia, Italy, and Germany). Research Focus: Her publications examine anoxic habitats, sulfur bacteria, invasive species impacts, and restoration ecology. She has collaborated internationally on projects including sponge sampling techniques and tardigrade desiccation tolerance. Fieldwork Experience: She leads limnological and marine excursions, including studies in Adriatic sponges, Rocky Intertidal zones in California, and coastal wetland recovery in Oregon.

Anna Schnauber-StockmannView profile

Associate Professor

• Media Use and Effects
• Mobile Media and Communication
• Situational Media Research
• +4 more

PD Dr. habil. Anna Schnauber-Stockmann is a prominent researcher in media and communication science at Johannes Gutenberg University Mainz, where she has been a member of the Media Structure and Media Effects research group since 2010. She completed her habilitation in October 2024 with the thesis 'The Importance of the Situation in Media Use and Media Effects Research' and was awarded Venia Legendi in Communication Science. Previously, she served as an interim professor at IJK (HMTM Hannover) from April to September 2021. Her academic journey includes earning a Dr. phil. in Communication Research in May 2016 with a dissertation on 'Day-to-day Media Selection. The Role of Habits in the Selection Process' and completing her Master's degree at the University of Mainz in 2007. Dr. Schnauber-Stockmann's research focuses on media use and effects, particularly examining how situational factors influence media selection and consumption patterns. Her work explores media habits, mobile communication behaviors, self- and feedback-effects in media contexts, and the application of quantitative research methods, especially in situ methodologies. She investigates how daily routines shape media platform usage and how these patterns affect individual behavior and social interactions. Her research bridges theoretical frameworks with practical applications in digital media environments, with particular attention to how time, context, and personal characteristics interact in media consumption. Her recent publications reveal a strong emphasis on situational media research, with significant contributions to understanding phubbing behavior, mobile media habit formation, and the distinction between person-specific and situation-specific variations in media use. Through meta-analyses and longitudinal studies, she has advanced methodological approaches for measuring media habits and examining real-time media effects. Her work consistently applies sophisticated quantitative methods to capture the dynamic nature of contemporary media consumption. Top Faculty Paper 2023 of ICA's Mobile Communication Division Top Student-led Paper 2023 of ICA's Mobile Communication Division Best Proposal Award 2017 of the DGPuK division Methods Research grant from the 'Friends of the University of Mainz' for outstanding dissertation (2017) Award for best dissertation on media convergence, University of Mainz (2016) As an active member of the academic community, Dr. Schnauber-Stockmann serves as treasurer of the German Communication Association (DGPuK) since May 2020 and previously served as spokesperson for the Media Reception and Effects division (2019-2021). She is an editorial board member for 'Media Psychology' and 'Mobile Media & Communication' and regularly reviews for leading communication journals. Her work demonstrates significant influence through numerous invited presentations and collaborations with international researchers across multiple institutions.

Hilary MartinView profile

Researcher

• Medical Genomics
• Population Genetics
• Genetic Architecture of Diseases
• +6 more

Dr. Hilary Martin is a Group Leader in Human Genetics at the Wellcome Sanger Institute and a College Research Associate at St John's College, Cambridge. Her research focuses on medical and population genomics, analyzing high-throughput sequence and genotype data from large cohorts to address various medical and population genetic questions. She leads the Martin Group which studies the genetic architecture of rare and common disorders in diverse populations, with particular emphasis on populations with high levels of parental relatedness. BSc (Human Genetics) from the University of Queensland, Australia PhD from the Wellcome Trust Centre for Human Genetics in Oxford Postdoctoral research at Sanger Institute with Jeff Barrett Group Leader at Sanger Institute since September 2018 Dr. Martin's research program spans several key areas in human genetics. Her group analyzes large-scale genetic and electronic health record data to explore fine-scale population structure, its impact on disease risk, and the genetic architecture of both rare and complex diseases. A particular focus is on populations with high levels of parental relatedness (consanguinity), where her team investigates how autozygosity affects disease risk across the phenotypic spectrum. Her work on developmental disorders examines the role of rare recessive variants and polygenic risk, while her research with South Asian populations explores the genetic basis of cardiometabolic diseases. Analyzing her recent publications reveals a strong trend toward multi-ancestry studies, particularly focusing on British Pakistani and Bangladeshi populations through the Genes & Health project. Her research increasingly integrates rare variant analysis with polygenic risk scores to understand the full genetic architecture of complex traits. There's also a growing emphasis on understanding how population structure, consanguinity, and founder effects influence disease risk across diverse populations. Her work bridges fundamental population genetics with clinical applications, particularly in neurodevelopmental disorders and cardiometabolic diseases. Extensive publication record in top journals including Nature, Cell, and Nature Genetics Leadership in major collaborative projects like Deciphering Developmental Disorders (DDD) Key contributions to understanding the role of consanguinity in disease architecture Development of methods for analyzing recessive variants in diverse populations Dr. Martin leads a dynamic research group comprising PhD students, postdoctoral fellows, and staff scientists. Her group works closely with multiple large-scale studies including the Avon Longitudinal Study of Parents and Children (ALSPAC), Millennium Cohort Study, Born in Bradford, Deciphering Developmental Disorders study, Genomics England, and Genes & Health. She maintains strong collaborations with clinical and research teams across the UK and internationally, particularly with groups studying South Asian populations. Her research has secured significant funding through institutional support and collaborative grants that enable large-scale genomic analyses. The Martin Group operates within the Human Genetics Programme at the Wellcome Sanger Institute, maintaining close ties with the Hurles Group and other related teams. They collaborate extensively with the East London Genes and Health project, which is one of the world's largest community-based genetics studies focusing on people of Pakistani and Bangladeshi heritage. The group maintains strict data security and confidentiality procedures while working closely with the communities they study through community engagement and dissemination of scientific findings.

Malte FrieseView profile

Professor

• Social Psychology
• Self-Regulation
• Motivation Science
• +3 more

Malte Friese is a Full Professor of Social Psychology at Saarland University's Department of Psychology within the Faculty of Empirical Humanities and Economics. He holds multiple leadership roles including Speaker of the Research Training Group 'Flexibility and Balance as Characteristics of Adaptive Self-Regulation' (RTG 2988) and Coordinator of the Graduate Program in Psychology. Previously, he held academic positions at the University of Basel and visiting fellowships at the University of Toronto, University of Utrecht, and University of Queensland. Education: Habilitation in Psychology, University of Basel (2012) Ph.D. in Psychology, University of Basel (2008) M.Sc. in Psychology, University of Heidelberg (2003) B.Sc. in Psychology, University of Trier (1999) Friese's research examines psychological flexibility mechanisms in self-regulation, decision-making, and social behavior. His work integrates social psychology with cognitive science to investigate: 1) Cognitive and motivational underpinnings of self-control, 2) Implicit processes in judgment and behavior, 3) Mindfulness-based interventions, and 4) Cross-cultural determinants of moral judgment. His recent projects explore strategy flexibility in goal pursuit, meta-cognitive aspects of self-regulation, and societal influences on ethical decision-making. Analyses of recent publications (2023-2025) reveal strong emphasis on meta-analytic approaches to resolve theoretical debates (e.g., ego-depletion controversy), multinational collaborations examining cultural variations in psychological phenomena, and applied research on behavioral interventions. Methodologically, his work combines experimental paradigms, longitudinal designs, and psychometric scale development. Awards & Honors: Förderpreis Psychologie (2018) Teaching Excellence Awards (2013-2017) Jos Jaspars Early-Career Award (2011) Steven Karger Dissertation Prize (2008) He has supervised over 15 doctoral students and secured competitive grants from the German Research Foundation (DFG), Volkswagen Foundation, and Swiss National Science Foundation. Current projects investigate AI's impact on healthcare relationships and cognitive biases in physical activity adoption. Friese leads the Social Psychology Lab at Saarland University and serves on editorial boards for Motivation Science and Health Psychology Review.

Lisa MusculusView profile

Researcher

• Sport Psychology
• Cognitive-Motor Development
• Decision Making in Sports
• +9 more

Lisa Musculus is a post-doctoral researcher at the Psychological Institute, Department of Performance Psychology, German Sport University Cologne. She holds a PhD in Psychology and is actively involved in research, teaching, and PhD supervision. Her work spans sport psychology, cognitive-motor development, and performance science, with strong interdisciplinary applications. Education: M.Sc. in Psychology, University of Cologne and University of Konstanz Dr. in Psychology, German Sport University Cologne Her research focuses on the interaction between cognitive and motor processes in sports, particularly in children and youth. She explores how these processes develop and contribute to expertise in sports such as soccer, climbing, table tennis, and esports. Using a developmental embodied-cognition framework, she conducts experimental, longitudinal, and training studies, integrating cognitive testing, motor assessment (including Vicon), and psychophysiological data. Her work has practical implications for talent identification, individualized training, and health and education programs. Her recent publications reflect a strong trend in decision-making, reinvestment under pressure, and perceptual-cognitive development in youth athletes. Topics include meta-analyses on option generation, psychophysiological reviews of reinvestment, and biomechanical studies of climbing expertise. Scientific Awards: Best Dissertation Award (Life Sciences), German Sport University Cologne, 2019 Member, Young Academy of the Academy of Sciences and Arts NRW, 2023 Early Career Research Prize, German Society of Sport Psychology, 2014 ASP Poster Prize (2nd Place), 2017 Health Psychology Congress Poster Prize, 2015 Lisa Musculus supervises several PhD students working on elite female sports performance, soccer decision-making, perceptual-cognitive development, reinvestment, and esports cognition. She is also involved in major research projects such as 'in:prove', 'Climbing to yourself', and collaborations with professional clubs like 1.FC Köln and DSC Arminia Bielefeld. She teaches courses in motor learning, sport psychology, health psychology, and research methods. Labs and Teams: She is part of the research group led by Prof. Markus Raab and collaborates extensively within the Department of Performance Psychology. Her work is embedded in the 'Mind in Motion' profile focus and involves interdisciplinary teams using advanced motor and cognitive assessment tools.

• Population Genetics
• Human Evolution
• Ancient DNA Analysis
• +3 more

Benjamin Peter is a Group Leader at the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany, leading the 'Genetic Diversity through Space and Time' group. He holds a PhD from the University of California, Berkeley (2014), an MSc from the University of Bern (2010), and a BSc in Biology from the University of Bern (2008). His research focuses on population genetics, ancient DNA analysis, and human evolutionary history. Education: PhD in Integrative Biology, UC Berkeley (2014) MSc in Ecology and Evolution, University of Bern (2010) BSc in Biology (Plant Sciences), University of Bern (2008) Research Interests: Dr. Peter specializes in reconstructing human evolutionary history through ancient DNA, population genetics, and genomic analysis. His work addresses topics such as Neanderthal admixture, Denisovan ancestry, and the genetic basis of human adaptation to high-altitude environments. He develops computational methods for analyzing ancient genetic data and interpreting population structure dynamics. Article Trends: His recent publications emphasize ancient genomic studies, including analyses of early modern human genomes, Neanderthal social organization, and Denisovan admixture in East Asian populations. His work often integrates archaeological and genetic data to elucidate human migration and evolutionary trajectories. Labs/Teams: He leads a research group focused on genetic diversity dynamics, collaborating with institutions globally. His team employs cutting-edge sequencing and computational tools to explore evolutionary questions.

Jürgen RennView profile

Professor

• History of Science
• Anthropocene Studies
• Complex Systems Analysis
• +3 more

Prof. Jürgen Renn is a Director at the Max Planck Institute for Geoanthropology in Jena (MPIGEA) and the Max Planck Institute for the History of Science in Berlin (MPIWG). His research focuses on long-term knowledge developments, globalization, and the coevolution of the technosphere with Earth's systems. He leads the Department of Structural Change in the Technosphere, combining historical perspectives with complex adaptive systems analysis to explore Anthropocene dynamics. Affiliations: MPIGEA (Jena), MPIWG (Berlin) Research interests include understanding how human-made systems interact with natural environments, with a focus on historical dynamics and global transformations. His work bridges disciplines like environmental science, archaeology, and digital humanities. Recent articles explore topics such as tropical deforestation, urban inequality comparisons between ancient Rome and modern cities, and digitalization's role in the Anthropocene. His 2024 monograph addresses knowledge's role in global historical shifts. Scientific awards include the Gustav Neuenschwander Prize and honorary doctorates from Tel Aviv and Hebrew Universities. He is a Leopoldina member and AAAS Fellow. As a department director, he oversees interdisciplinary collaborations and research initiatives. His work contributes to understanding sustainable pathways in the Anthropocene through historical and systemic analyses.

• Marine Geochemistry
• Paleoceanography
• Biogeochemical Cycles
• +3 more

Dr. Walter Geibert is a Researcher in the Marine Geochemistry department at the Alfred Wegener Institute, specializing in naturally occurring radionuclides, nutrient cycles, and paleoceanography. He holds key roles such as Head of the Radiochemistry/Inorganic Chemistry Lab and Deputy Section Head. His research focuses on ocean biogeochemical processes, including trace metal dynamics, sediment geochemistry, and climate-driven changes in marine systems. Education: Not explicitly stated in the provided text. Roles: Radiation Safety Officer, Ombudsperson for PhD students, and Member of the GEOTRACES Scientific Steering Committee. Research interests span radionuclide distributions in oceans, nutrient fluxes, paleoceanographic reconstructions, and development of new proxies for oceanographic studies. He has led numerous expeditions, including PS144 and MOSAiC, contributing to Arctic and Antarctic oceanography. Publications highlight studies on sediment dynamics, carbon burial, and isotopic tracers, with a focus on polar regions and the Southern Ocean. His work integrates lab-based analyses with field data to understand long-term environmental changes.

• International Economics
• Trade
• Mathematical and Quantitative Methods
• +3 more

Hiroyuki Kasahara is a Professor of Economics at the University of British Columbia, affiliated with the Department of Economics. He holds the titles of CESifo Research Network Fellow and Distinguished CESifo Affiliate. His research focuses on International Economics, particularly Trade, and Mathematical/Quantitative Methods. He is actively involved in analyzing global economic challenges, including policy impacts on productivity, banking systems, and historical economic phenomena. His work often employs advanced econometric techniques to address empirical questions in development, trade, and policy analysis. Key research interests include the interplay between trade policies and labor markets, the effects of tax incentives on innovation, and the historical determinants of economic crises. His contributions span methodological advancements in structural models and applied analyses of real-world economic issues. He has been recognized as a Distinguished CESifo Affiliate for his scholarly contributions. His recent publications explore topics such as the implications of bank recapitalization in Japan, the socioeconomic impacts of school reopenings during the pandemic, and historical famine causes in China. Despite no explicit mention of grants or advising roles, his extensive publication record underscores his leadership in economic research. His work is affiliated with the CESifo network, emphasizing global economic themes like trade, productivity, and institutional impacts.

Claudia BarthView profile

Professor

• Women's Health
• Brain Health
• Neuroendocrinology
• +8 more

Prof. Dr. Claudia Barth is a Professor of Neurobiology of Hormonal Transitions at Charité - Universitätsmedizin Berlin, holding dual appointments at the Department of Psychiatry and Neurosciences and the Institute of Gender in Medicine (GiM). As Head of the Research Division Neurobiology of Hormonal Transitions, she leads pioneering work integrating preclinical and clinical perspectives with computational approaches to study hormonal transitions and their impact on brain health and psychiatric disorders. She currently serves as Chair of the ENIGMA Neuroendocrinology Working Group – Menopause Subgroup and Co-Chair of the ENIGMA Early Onset Psychosis Working Group, fostering global research collaborations. Her educational background includes a PhD in Neuroscience (summa cum laude, 2017) from the University of Leipzig & Max Planck Institute, an MSc in Biology (Neurobiology & Behavior, 2012), and a BSc in Biology (2010). Prior to her current position, she completed postdoctoral training at the University of Oslo and Norwegian Centre for Mental Disorders Research (2018-2020), and doctoral research at the Max Planck Institute for Human Cognitive and Brain Science (2013-2017). Barth's research focuses on women's brain health across hormonal transition periods, with particular emphasis on menstrual cycle, pregnancy, and menopause. Her work investigates how sex hormones influence brain structure and function, and their relationship to psychiatric disorders including depression and psychosis. Through innovative approaches combining neuroimaging, registry data, and computational methods, she has established herself as a leading researcher in female brain health. Her recent work demonstrates how estradiol exposure affects brain aging trajectories and how hormonal transitions create vulnerability windows for mental health disorders. Her publication record shows consistent high-impact contributions in neuroscience journals, with recent articles exploring menstrual cycle effects on brain structure (2023), menopausal hormone therapy effects (2024), and comprehensive analyses of sex steroids across the lifespan (2023). Her research demonstrates increasing focus on translational applications, particularly in understanding how hormonal transitions affect vulnerability to depression and Alzheimer's disease. 2024: European Research Council Starting Grant (PI, €1.5M) - "MappingPerimenopause" 2025: Wellcome Leap CARE (Co-PI, €1.5M) - "Charting the female brain during midlife" 2025: Marie Skłodowska-Curie Actions Doctoral Networks (Co-PI, €4.7M) - "Gender-InSIGHT" 2025: Marie Skłodowska-Curie Actions Doctoral Networks (Co-PI, €4.5M) - "MenoBrain" As an active science communicator, Barth has contributed to public understanding through interviews with European Sleep Research Society (2025), Forbes (2023), podcasts on women's health (2024), and educational materials for Springer Medicine (2024). Her work bridges cutting-edge neuroscience with clinical applications to improve women's brain health outcomes across the lifespan.

Benedikt EhingerView profile

Assistant Professor

• Computational Cognitive Science
• Visual Cognitive Science
• EEG Analysis
• +5 more

Benedikt Ehinger is a Tenure-Track Professor for Computational Cognitive Science at the Stuttgart Center for Simulation Science (SC SimTech) and the Institute for Visualization and Interactive Systems (VIS) at the University of Stuttgart. His research bridges cognitive neuroscience, computational modeling, and visualization techniques to understand visual perception and decision-making processes. Education 2018: PhD in Cognitive Science from University of Osnabrück with thesis "Predictions, Decisions and Learning in the visual sense" 2013: Master of Science in Cognitive Science from University of Osnabrück with thesis "Filling in Blind-Spots: A psychophysical and an EEG study" 2011: Bachelor of Science in Cognitive Science from University of Osnabrück with thesis "Electrophysiological Correlates of Category Learning" Research Interests Ehinger's research focuses on the intersection of visual cognitive science, computational modeling, and neuroimaging techniques. His work primarily investigates predictive coding mechanisms in visual perception, statistical learning in visual scenes, eye movement control, method development for combined EEG and eye-tracking analyses, visual completion phenomena like the blind spot, and category learning and neural plasticity. His approach combines behavioral experiments, EEG recordings, eye-tracking, and advanced statistical modeling to uncover the computational principles underlying human visual cognition. Publication Trends Ehinger's publication record shows a clear evolution from foundational work on visual perception and category learning toward methodological innovations in neuroimaging analysis. His early work focused on visual completion phenomena, category learning, and melanopsin modeling. More recently, he has pioneered techniques for analyzing combined EEG and eye-tracking data, developing toolboxes like "unfold" that address critical challenges in temporal overlap correction and regression-based analysis. His research demonstrates a consistent thread of applying computational approaches to understand visual cognition while simultaneously advancing the methodological toolkit of cognitive neuroscience. Scientific Contributions Development of the "unfold" toolbox for overlap correction and regression-based EEG analysis Creation of the EEGVIS toolbox for EEG visualization Establishment of comprehensive eye-tracking test batteries for validating mobile eye-tracking devices Innovative approaches to modeling fixation durations and eye movement patterns Research Environment Ehinger leads the Computational Cognitive Science group within the Institute for Visualization and Interactive Systems at the University of Stuttgart. His work is situated at the intersection of cognitive science, neuroscience, and computer science, collaborating with researchers across these disciplines. His lab utilizes behavioral experiments, EEG, eye-tracking, and computational modeling to investigate visual cognition, with emphasis on open science practices and methodological transparency.