Prof. Matthias Nießner is a Professor at the Technical University of Munich , where he leads the Visual Computing Lab . Prior to this, he held a Visiting Assistant Professor position at Stanford University . His work bridges computer vision , graphics , and machine learning , focusing on 3D reconstruction , semantic scene understanding , and AI-driven video synthesis . Prof. Nießner has published over 150 works in top venues like SIGGRAPH , CVPR , and ECCV , with several receiving best paper awards (SIGCHI’14, HPG’15, SPG’18, SIGGRAPH’16 Emerging Tech). His research has garnered international media attention, including features in the New York Times , Wall Street Journal , and MIT Technological Review , as well as TV demonstrations (e.g., Jimmy Kimmel Live for Face2Face technology). Awards : TUM-IAS Rudolph Moessbauer Fellowship (2017–ongoing) Google Faculty Award (2017) Nvidia Professor Partnership Award (2018) ERC Starting Grant (2018, €1.5M) Eurographics Young Researcher Award (2019) Research Trends : 3D Gaussian Splatting for real-time rendering Neural Radiance Fields (NeRF) with mesh supervision Audio-driven facial animation via diffusion models Latent space diffusion for 3D scenes Self-supervised and zero-shot methods for 3D and image analysis As a co-founder and director of Synthesia Inc. , he drives democratization of synthetic media. His YouTube channel has over 5 million views, reflecting his impact beyond academia.
Prof. Marc Stamminger is a Professor of Visual Computing at FAU since 2002, leading the Chair of Computer Science 9 (Computer Graphics). His work focuses on algorithms for synthesizing and analyzing images through 3D modeling, LiDAR/Radar capture, and light simulation. He co-leads FAU Solar, applying 3D modeling for environmental lighting analysis under varying conditions. Stamminger has published over 250 papers, winning prestigious awards like the Siggraph Test-of-Time Award. He holds executive roles in Eurographics and is Vice Dean of FAU's Technical Faculty. Research interests span neural rendering , 3D reconstruction , radar imaging , and medical visualization . Recent work emphasizes radiance field rendering (e.g., VR-Splatting, INPC) and radar-based human motion tracking. His lab's FAU Solar project integrates large-scale 3D models with environmental lighting simulations. Publications trends highlight neural rendering optimizations , radar-MIMO systems , and agricultural digital twins . Key collaborations involve medical imaging (e.g., vocal fold reconstruction) and autonomous driving data generation. Awards: Siggraph Test-of-Time (2023?), 2× Siggraph Best-Of-Show Grants/Teams: FAU Solar Lab, Eurographics leadership, FAU Vice Dean Labs: Chair of Computer Science 9, FAU Solar Initiative
Hannes Zacher is a Professor of Work and Organizational Psychology at Leipzig University's Wilhelm Wundt Institute of Psychology. He previously held academic positions at Queensland University of Technology (Australia) and the University of Groningen (Netherlands). His research focuses on occupational health, proactive employee behavior, aging in the workplace, and sustainable organizational practices. He has been awarded grants from institutions like the German Science Foundation (DFG) and the Volkswagen Foundation. Zacher earned his Ph.D. in Psychology from Justus-Liebig-University Gießen in 2009, following a Diploma (equivalent to B.Sc./M.Sc.) in Psychology from the Technical University of Braunschweig (2000–2006). His research interests include occupational health and well-being, proactive and adaptive employee behavior, aging at work and career development, and environmentally sustainable behavior in organizations. He employs methodologies such as longitudinal surveys, experience sampling, and experiments. Key themes in his work address the interplay between work environments and employee well-being, with a focus on fostering sustainable practices and mitigating age-related challenges in the workplace. Zacher leads projects such as the Centre for Digital Work and studies like 'The Role of Work in the Development of Civilization Diseases.' His publications span topics from green workplace behavior to leadership dynamics during crises. He has no listed scientific awards but has secured significant grant funding for his research. Advising and grant details reflect his commitment to impactful research, though specific student names are not provided. His lab and team efforts emphasize translating psychological insights into organizational practices for sustainability and employee well-being.
Prof. Felix Krahmer is a TUM Tenure Track Assistant Professor of Optimization and Data Analysis at the Department of Mathematics, Technische Universität München (TUM), part of the School of Computation, Information and Technology. Previously, he held a Junior Professorship (W1) for Mathematical Data Analysis at the University of Göttingen (2012–2015). His research focuses on mathematical foundations of data science, including compressed sensing, signal quantization, uncertainty quantification, and optimization algorithms. He has led an Emmy Noether research group and contributed to the ZeMat interdisciplinary project. Education : PhD in Mathematics (2009), New York University, advisors: Percy Deift & Sinan Güntürk MSc in Mathematics (2007), New York University BSc in Mathematics (2004), Jacobs University Bremen Research Interests : Krahmer’s work bridges theoretical mathematics and applied data science. Key areas include compressed sensing algorithms, high-dimensional signal reconstruction, quantization theory for analog-to-digital conversion, and optimization methods for inverse problems. He also explores applications in imaging (e.g., MRI reconstruction) and stochastic processes. Key Contributions : His research on phase retrieval, sigma-delta quantization, and compressed sensing recovery has advanced signal processing techniques. Recent efforts focus on uncertainty quantification for high-dimensional inverse problems and the mathematical analysis of consensus-based optimization. Grants & Awards : Emmy Noether Research Group Grant (DFG) Funding from BMBF (ZeMat project) Teaching & Outreach : Krahmer has taught advanced courses on compressed sensing, functional analysis, and random matrix theory. He co-organized workshops on probabilistic techniques and clinical risk prediction, emphasizing interdisciplinary collaboration. Labs/Teams : Member of the TUM Data Science Research Group, focusing on optimization, imaging, and uncertainty quantification. Active in the Munich Center for Quantum Science and Technology (MCQST).
Prof. Dr. Michael Bosnjak leads the Department for Psychological Research Methods at the University of Trier, Germany, focusing on research synthesis methods, theory-driven machine learning, survey methodology, and experimental designs applied to personality psychology (HEXACO model), consumer behavior, and public health. His team includes Dr. Henning Silber (GESIS), Dr. Bernd Weiß (GESIS), and international collaborators at Utrecht University. Affiliation: University of Trier (Department of Psychology) Editorial Roles: Zeitschrift für Psychologie (Editorial Board), Social Science Computer Review (Associate Editor), Frontiers in Psychology (Review Editorial Board) Grants: DFG SFB 884 (co-applicant), DFG Project PaCO (2019-2024, principle investigator), BMBF-funded GESIS Panel Campus His recent publications analyze panel conditioning effects in longitudinal studies, e-commerce privacy dynamics, personality-trait interactions, and psychosis proneness measurement. Scientific awards include the 2016 BMBF infrastructure grant, 2011 Isaac Manasseh Meyer Fellowship, and 2003 Karin Islinger Award. Current projects address data quality in probability-based and opt-in panels, with experimental designs across eight groups testing measurement error mechanisms. He serves as a co-editor for multiple special issues on survey methodology and tourism psychology.
Botond Kőszegi is a Professor of Economics at the Faculty of Economics and Business, University of Bonn. His primary contact information includes the university email bkoeszeg@uni-bonn.de and phone number +49 228 73-60399. His research profile is prominently featured on the University of Bonn's economics department website. Kőszegi's research spans multiple areas within behavioral economics, with particular focus on how psychological factors influence market outcomes. His work examines consumer behavior in competitive markets, particularly when consumers exhibit systematic biases or misunderstandings. He has made significant contributions to understanding reference-dependent preferences, self-control problems, and how market structures interact with consumer naivete. His theoretical frameworks have important implications for consumer protection policies, especially in financial markets where consumers face complex decisions with limited attention. His publication record demonstrates consistent high-impact contributions to top economics journals including the Quarterly Journal of Economics, American Economic Review, Review of Economic Studies, and Econometrica. His recent work (2021-2025) shows increasing focus on digital markets, ecosystem competition, and the welfare implications of online steering practices. The progression of his research indicates a deepening exploration of how behavioral factors shape market outcomes across various contexts, from traditional consumer markets to emerging digital platforms. Kőszegi frequently collaborates with Paul Heidhues, with whom he has co-authored numerous influential papers. His collaborative network also includes researchers such as Matthew Rabin, Takeshi Murooka, and Philipp Strack. His work has been featured in major media outlets including the Financial Times and Zeit Online, indicating real-world policy relevance. His research program has evolved from foundational work on reference-dependent preferences to increasingly complex applications in digital markets and consumer protection. This trajectory reflects both theoretical depth and practical relevance, addressing pressing questions about how to design markets and regulations that account for realistic consumer behavior.
Dr. Adrian Meier is a tenure-track Junior Professor for Communication Science at Friedrich-Alexander University Erlangen-Nuremberg (FAU), holding the Chair of Communication Science since February 2024. Previously, he served as Assistant Professor at the University of Amsterdam (2020-2021) and as a Research Associate at Johannes Gutenberg University Mainz (2015-2020), where he completed his doctorate summa cum laude in August 2020, an MA in Communication Science (2013-2015), and a BA in Journalism and Political Science (2010-2013). His research is conducted through the Junior Professorship for Communication Studies, part of the Institute for Labor Market and Socioeconomics (IAS) within FAU's School of Business, Economics and Social Sciences. Meier's research focuses on media usage and effects research, media psychology, and interpersonal communication, with particular emphasis on the consequences of digital communication for well-being, health, and self-regulation at the interface between work and leisure. His work investigates phenomena such as digital stress, procrastination, and digital communication in the home office. Methodologically, he specializes in in-situ surveys, digital behavioral data analysis, and AI-supported literature syntheses, with a strong commitment to theory-driven, media-psychological, and quantitative-empirical approaches. His research employs short-term longitudinal designs including diary studies and experience sampling, systematic literature reviews, and adheres to open science principles with pre-registration. Analysis of Meier's recent publications reveals a consistent focus on digital disconnection and its relationship to well-being, examining how temporary breaks from digital media can improve situational psychological states. His work innovates in measuring digital behavior beyond simple screen time metrics, exploring nuanced aspects of smartphone usage patterns, temporal dimensions in media effects, and the motivational factors behind digital disconnection. He has made significant contributions to understanding the complex relationship between social media use and mental health, particularly in adolescent populations, while challenging simplistic narratives about passive versus active social media use. Dordick Dissertation Award from ICA Communication & Technology Division Dissertation Prize from German Society for Journalism and Communication Studies (DGPuK) Best Paper Award at Annual Conference of the Section for Reception and Effect Research Editorial board member for Media Psychology, Journal of Media Psychology, and Mobile Media & Communication As an active researcher and educator, Meier supervises bachelor's theses and offers a range of courses in communication science. His research has been funded through prestigious grants including an ERC Starting Grant for his project 'Social Well-Being from Hybrid Interactions in Hybrid Work' (HYIHY), which received €1.5 million in funding. His work has established him as a leading voice in understanding the psychological implications of digital communication in contemporary society, particularly at the intersection of work and personal life in the era of hybrid work arrangements.
Dr. Jan Keller serves as a Visiting Professor and Head of the AMBER Junior Research Group 'Active Mobility to Promote Health and Environmental Protection' at the Department of Health Psychology, Freie Universität Berlin. With extensive experience in health psychology research and teaching, Dr. Keller leads innovative projects at the intersection of behavioral science, environmental sustainability, and digital health interventions. Dr. Keller earned both Bachelor of Science (2007-2010) and Master of Science (2010-2013) degrees in Psychology from Freie Universität Berlin, followed by doctoral studies in the same institution from 2013-2018. Research interests center on social exchange processes in health promotion, particularly dyadic planning approaches, self-regulatory strategies for health behavior change, habit formation processes, and the critical intersection between environmental sustainability and health. Recent work explores digital interventions for smartphone usage, active commuting behaviors, and climate change education. Dr. Keller's research demonstrates how environmental health psychology can address both individual well-being and planetary health challenges through innovative behavioral approaches. Analysis of recent publications reveals strong thematic trends in digital health interventions, climate-health connections, and dyadic approaches to behavior change. The work spans methodological approaches from randomized controlled trials to longitudinal studies and systematic reviews, with increasing emphasis on environmental health psychology as a critical domain for intervention development. Herman Schaalma Award (2019) from European Health Psychology Society for dissertation Graduate Student Achievement Award (2018) from International Association of Applied Psychology FUB Climate Challenge funding (2022) through FUturist Program Joint doctoral program funding (2021) between University of Melbourne and Berlin University Alliance Quinn Exchange Fellowship (2017) from University of British Columbia CREATE Tandem Stipendium (2016) from European Health Psychology Society Dr. Keller leads the AMBER Junior Research Group (2023-2028) focused on active mobility, and has secured multiple research grants including the FUB Climate Challenge project. As Consulting Editorial Board member for Applied Psychology: Health and Well-being since 2020, Dr. Keller contributes to advancing the field through scholarly review and mentorship. The research program integrates theoretical frameworks with practical interventions addressing contemporary health challenges. The AMBER Junior Research Group serves as the primary research laboratory, focusing on 'Active Mobility to Promote Health and Environmental Protection.' This initiative operates within the broader context of the Department of Health Psychology's research ecosystem, collaborating with international partners including University of British Columbia and Columbia University. Dr. Keller also participates in the Open Digital Health Initiative and the Special Interest Group 'Equity, Global Health and Sustainability' of the European Health Psychology Society.
Prof. Gerhard Jäger holds the Chair of General Linguistics at the Faculty of Humanities, University of Tübingen . He serves as a Principal Investigator (PI) in the Clusters of Excellence Human Origins and Machine Learning for Science , and leads projects like Phylomilia (funded by Volkswagen Foundation) and CrossLingference (ERC Advanced Grant). His career spans multiple institutions, including Bielefeld University (2004-2009) and Stanford University (visiting scholar, 2004). Habilitation (2002) at Humboldt University Berlin with thesis on Anaphora and Type Logical Grammar PhD (1996) at Humboldt University Berlin on Dynamic Semantics His research bridges computational linguistics , phylogenetic analysis , and game theory , focusing on Bayesian models , language evolution , and cross-linguistic typology . Recent work explores phylogenetic inference from acoustic speech data and geographic influences on language trees . Key contributions include 15+ recent publications on topics spanning phylogenetic typology , cognate detection , and Bayesian language modeling . These works employ machine learning , statistical inference , and evolutionary game theory to analyze language change , typological variation , and linguistic stability . Honors include ERC Advanced Grant , Volkswagen Foundation funding , and DFG-Humanities Centre for Advanced Studies participation. He has taught courses in Computational Historical Linguistics , Phylogenetic Methods , and Bayesian Data Analysis across institutions like Tübingen, Bielefeld, and Stanford. He actively contributes to academic communities through workshop organization (e.g., Quantitative Theoretical Linguistics , Game Theory in Pragmatics ) and serves on the faculty council at Tübingen. His team collaborates with institutions like Max Planck Institute for Evolutionary Anthropology , University of Pennsylvania , and LMU Munich .
Professor Isabel Dziobek is a distinguished academic at Humboldt University of Berlin, holding a W3 Professorship in Clinical Psychology of Social Interaction within the Institute of Psychology, Faculty of Life Sciences. She serves as Head of the University Outpatient Clinic for Psychotherapy and Psychodiagnostics and leads the Special Outpatient Clinic for Social Interaction. As Academic Director of the Center for Psychotherapy at Humboldt University and Principal Investigator at the German Center for Mental Health, she plays a pivotal role in shaping mental health research and clinical practice in Germany. Her educational background includes a Diploma in Psychology from Ruhr University Bochum (2000), a Dr. rer. nat. summa cum laude from University of Bielefeld (2006), and Habilitation in Psychology from Free University of Berlin (2014). She obtained her license to practice as a psychological psychotherapist in 2015. Professor Dziobek's research focuses on bio-psycho-social mechanisms of social interaction disorders across autism spectrum disorders, social anxiety disorders, and personality disorders. Her work integrates neurobiological approaches (fMRI, EEG, psychophysiology, eye-tracking, neuromodulation) with the development of diagnostic and intervention procedures including cognitive behavioral therapy, e-mental health, and social robotics. She has pioneered research on therapeutic mechanisms through focused short-term programs involving movement synchronization, social competence training, and brain stimulation augmentation. Analysis of her recent publications reveals a strong emphasis on empathy assessment in autism and personality disorders, development of innovative assessment tools like the Simulated Interaction Task for Children (Kids-SIT), and exploration of novel therapeutic approaches including psychedelic-assisted therapy. Her work increasingly incorporates participatory research methods and cross-cultural validation of assessment tools, reflecting a commitment to making research clinically relevant and accessible. 2016: Teaching Award of the Faculty of Life Sciences, Humboldt University of Berlin 2016: Antistigma-Preis der Deutschen Gesellschaft für Psychiatrie und Psychotherapie 2014: Charlotte- und Karl-Bühler-Preis, Deutsche Gesellschaft für Psychologie 2011: 2nd Place in Brain-Art Competition 2011 2007: Dissertation Award of University of Bielefeld 2007: 1st Prize at Canadian Film Festival "Picture This" Professor Dziobek serves in numerous leadership roles including Spokesperson for Charité Mental Health, Fellow of the Max Planck School of Cognition, and Board Member of Charité Mental Health. She directs the DZPG-funded research group and participates in the Cluster of Excellence Neurocure III. Her lab, the Dziobek Lab (dziobek-lab.org), focuses on developing and evaluating interventions for social interaction disorders while maintaining strong clinical connections through the University Outpatient Clinic.
Tsun-Ming Tseng is a Professor and principal investigator at the Chair of Electronic Design Automation at the Technical University of Munich (TUM). He leads the Emerging Technology Group and oversees multiple DFG/BMBF-funded research projects in the areas of microfluidic large-scale integration, optical network-on-chip design, and novel microfabrication techniques. Dr. Tseng's research focuses on design automation for emerging technologies, with particular expertise in three main areas: microfluidic large-scale integration, optical network-on-chip systems, and novel microfabrication processes. His work bridges the gap between electronic design automation and cutting-edge applications in bioengineering, photonics, and advanced manufacturing. His research group develops sophisticated algorithms and tools for optimizing design, reliability, and performance in these emerging domains. Analysis of Dr. Tseng's recent publications reveals a strong focus on practical implementation challenges in emerging technologies. His work spans both theoretical algorithm development and practical system implementation, with particular emphasis on reliability, performance optimization, and manufacturing considerations. The research shows increasing integration between different technology domains, particularly the convergence of microfluidics, optical networking, and electronic design automation. Dr. Tseng has been awarded multiple significant research grants including: "DE-TW-CloudWRONoC" (BMBF-NSTC project, PI, 2025-2028, EUR 797.7K) "DE-TW-PI3D" (BMBF-NSTC project, PI, 2024-2027, EUR 391.6K) "Physical Design for Microfluidic Large-Scale Integration" (DFG research grant, PI, 2024-2026, EUR 331.9K) Multiple other DFG and industrial projects totaling over EUR 3 million in funding He has successfully supervised numerous doctoral researchers and postdoctoral fellows, with current group members including Jiahui Peng, Debraj Kundu, Liaoyuan Cheng, and several others. Dr. Tseng leads the Emerging Technology Group at TUM, which focuses on developing design automation methodologies for next-generation technologies. The group maintains strong collaborations with international institutions, including partnerships with researchers in Taiwan and Hong Kong. The team operates state-of-the-art facilities for research in microfluidics, optical networking, and advanced microfabrication techniques.
Moez Limayem is a Professor at the University of South Florida's Muma College of Business, specializing in Information Systems. His research focuses on digital platforms, user behavior analysis, and technology adoption in e-commerce and healthcare contexts. He has published extensively in top journals like the Journal of Management Information Systems and MIS Quarterly , addressing topics such as recommender systems, virtual collaboration, and the impact of emerging technologies like service robots in hospitality. Limayem has contributed to conferences including ICIS and ECIS, and his work bridges theoretical insights with practical applications in business informatics. His recent projects explore multi-sided platforms, habit formation in technology use, and the ethical implications of mobile phone overuse. Key research areas include: Design and management of digital platforms User behavior in virtual environments Technology adoption in organizations Impact of color and media on learning outcomes Limayem has collaborated with institutions like the University of Alberta and the Polytechnic Montréal, demonstrating cross-disciplinary engagement. His work often emphasizes the integration of information systems into academic and business contexts, as seen in his case study on USF's Muma College of Business. He has also investigated challenges in data collection methods and innovative alternatives to traditional student sample studies.
Prof. Markus Axer is a Professor and Deputy Head of the Structural and Functional Organisation of the Brain (INM-1) at the Institute of Neuroscience and Medicine (INM) within Forschungszentrum Jülich. His research focuses on connectomics, neuroimaging technologies (e.g., 3D-Polarized Light Imaging), and high-performance computing applications in brain architecture analysis. He leads the 'Fiber Architecture' working group, advancing microscopy techniques like scattered light imaging and MRI-histology correlation for studying brain microstructure. His work bridges experimental neuroscience with computational methods, aiming to decode brain organization at meso- and macroscales. Key achievements include developing the HippoMaps atlas of the human hippocampus and improving fiber orientation mapping in brain tissue. Awards include Fellowship in the Royal Netherlands Academy of Arts and Sciences (2024). Research emphasizes cross-modal data integration, with applications in Alzheimer’s disease biomarker validation and primate brain evolution studies. He collaborates with academic institutions like the University of Wuppertal and contributes to international initiatives like the BigBrain Analytics Learning Laboratory.
Cornelius Puschmann is a Professor of Communication and Media Studies at the University of Bremen's ZeMKI, leading the Digital Communication and Information Diversity (DCID) Lab. He has held affiliations with institutions including Zeppelin University, the Alexander von Humboldt Institute for Internet and Society, and the Leibniz Institute for Media Research / Hans Bredow Institute. His research focuses on computational communication, digital media usage, hate speech, and algorithmic impacts on digital communication. Current projects: Informed by Influencers? (INDI), Political Polarization and Individualized Online Information Environments (POLTRACK) Member of Deutsche Gesellschaft für Publizistik- und Kommunikationswissenschaft (DGPuK), European Communication Research and Education Association (ECREA), and International Communication Association (ICA) His recent publications explore topics such as alternative news consumption, political polarization, and communicative AI. He has also contributed to open-source methodologies like the RPC-Lex dictionary for analyzing right-wing populist discourse. Notable affiliations include visiting scholar roles at the Oxford Internet Institute, Berkman Klein Center for Internet and Society, and University of Amsterdam's Department of Media Studies.
Dr. Marion Schrumpf is a Group Leader in the Soil Biogeochemistry research group at the Max Planck Institute for Biogeochemistry, affiliated with the Department of Biogeochemical Processes. Her work focuses on soil carbon dynamics, mineral-organic matter interactions, and climate change impacts on soil systems. Research areas: Soil biogeochemistry, carbon cycling, mineral-soil interactions, nutrient stoichiometry, microbial ecology, and climate modeling. Email: mschrumpf@... Phone: +49 3641 57-6182 Office: B2.015 Her recent publications address themes like mineral control over soil carbon stabilization, drought effects on soil processes, microbial stoichiometric adaptation, and the Jena Soil Model's role in simulating carbon-nutrient interactions. She leads efforts to disentangle the complex relationships between land use, mineralogy, and soil organic matter turnover across diverse ecosystems.
