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Adjunct Professor
Odile Sauzet is an Adjunct Professor at Universität Bielefeld , affiliated with the Faculty of Health Sciences and the Working Group 3 Epidemiology & International Public Health . She also holds positions in the Faculty of Economics (Chair of Statistics and Data Analysis) and the Faculty of Business Administration and Economics (Department of Empirical Methods).
Professor
Mario Nadj is a full Professor holding the Chair for Information Systems and Artificial Intelligence (AI) in Marketing at the University of Duisburg-Essen's Faculty of Computer Science. Previously, he served as an assistant professor and chairholder for Business & Information Systems Engineering at TU Dortmund University and held two deputy professorships at the Karlsruhe Institute of Technology (KIT), where he was also head of the Intelligent Enterprise Systems department. Bachelor's degree in Information Systems from the University of Bamberg Master's degree in Finance and Information Management from Goethe University Frankfurt Doctorate from KIT with highest praise (summa cum laude) Professor Nadj's research spans the intersection of artificial intelligence, information systems, and cognitive science. His work primarily focuses on three interconnected areas: understanding information systems through AI and neuroscience tools, investigating explainability of AI decisions to open the 'black box,' and exploring effective human-AI interaction paradigms. His research integrates methods from neurophysiology and cognitive psychology to study workplace phenomena like flow states and cognitive load in knowledge workers. His publication portfolio shows a clear trend toward human-centered AI systems, with recent work emphasizing interactive explainable AI, physiological computing for flow detection, and human-in-the-loop machine learning systems. The research spans disciplines including information systems, human-computer interaction, cognitive psychology, and data science, with a strong emphasis on empirical validation through laboratory experiments and eye-tracking studies. Vinton G. Cerf Best Student Paper Award at the International Conference on Design Science Research in Information Systems and Technology (2025) Judges' Award for the Accessibility Challenge of the International Web for All Conference (2023) Best Demo Paper Award of the International Conference on Advanced Information Systems Engineering (2021) Business Intelligence Systems among the eleven best rated lectures at KIT Department of Economics and Management (WS 2020/2021) Teaching Award of the Hector School of Engineering & Management - 2nd Place (Intake 2019) Professor Nadj's research is supported by major German companies from the automotive and software industries. His work on interactive labeling systems, physiological computing for workplace flow, and explainable AI has attracted significant industry interest. He collaborates extensively with researchers across Europe, particularly with Alexander Maedche and colleagues at the University of Mannheim. His projects often bridge theoretical information systems research with practical applications in business intelligence, data science, and human-AI collaboration. His research group at Duisburg-Essen focuses on neuro information systems, combining traditional information systems research with neuroscience methodologies. The team has developed tools like brownieR, an R-package for neuro information systems research, and has conducted pioneering work on using EEG to detect flow states in knowledge workers. Current projects emphasize making AI systems more transparent and interactive while optimizing human-AI collaboration in business contexts.
Adjunct Professor
Stefan Adami is an Adjunct Professor at the Institute of Aerodynamics and Fluid Mechanics, Technical University of Munich (TUM), where he leads the 'Nanoshock' research group. He holds a Ph.D. in Mechanical Engineering from TUM and was awarded habilitation in 2022, followed by appointment as Privatdozent in 2023. His academic career at TUM includes roles as research associate, Akademischer Rat, and group leader. Research Interests: Compressible and multiphase flows Numerical modeling and simulation Smoothed Particle Hydrodynamics (SPH) High-speed aerodynamics and shock wave dynamics Applications in additive manufacturing and biomedical fluid mechanics His recent research employs advanced solvers like ALPACA for high-resolution simulations of bubble dynamics, shock interactions, and interfacial flows. He has contributed to modeling in laser-based 3D printing and cavitation-based drug delivery systems. Recent Publication Trends: His 2023–2025 publications emphasize compressible multiphase flows, high-order numerical schemes (WENO-THINC), and applications in materials processing and biomedical engineering. He frequently collaborates on solver development and benchmarking, including large-scale datasets for Riemann problems. Teaching: Lecturer for 'Numerical Methods for Conservation Laws' (Winter Semester) Lecturer for 'Turbulent Flows' (Summer Semester) Previously served as Teaching Assistant for Continuum Mechanics and Computational Solid and Fluid Dynamics Research Leadership: Leader of the 'Nanoshock' research group since 2015 Key contributor to the development of the ALPACA solver for compressible multiphase flows Active in interdisciplinary projects involving fluid-structure interaction and industrial applications
Researcher
Dr. Xi Wang is a postdoctoral researcher at the Technical University of Munich (TUM) within the Computer Vision Group (Informatics 9) under Prof. Daniel Cremers, and a researcher at the Computer Vision and Geometry Lab at ETH Zurich led by Prof. Marc Pollefeys. He collaborates with Prof. Luc Van Gool at INSAIT and has affiliations with MIT and Adobe Research. His research spans computer vision, computer graphics, vision science, and vision-language multimodal learning , focusing on modeling human common sense, intent-driven behavior, and egocentric scene understanding. Research Highlights: Developed multimodal world models (GEM) for fine-grained ego-motion and object dynamics Created vision-language interior design systems (I-Design) and driver trajectory prediction models Advanced 3D human-object interaction reconstruction (ROMEO) and eye-tracking-based action anticipation Explored Gaussian splatting for dynamic scene understanding (EgoGaussian) Scientific Recognition: Recipient of the ECCV 2024 Workshop Best Paper Award for ROMEO $1.6 million grant from BMBF for establishing his independent TUM research group Accepted papers at top venues: CVPR, ECCV, ICLR, ETRA, ISMAR
Researcher
Hao Xing is a scientific researcher and post-doctoral fellow at the Institute for Cognitive Systems (ICS), Technical University of Munich (TUM), working with Prof. Gordon Cheng since May 2024. Previously, he served as a research assistant at the Munich Institute of Robotics and Machine Intelligence (MIRMI) and completed his PhD under Prof. Darius Burschka from 2019. His educational background includes: Master of Science in Mechanical Engineering from Technical University of Munich Bachelor of Engineering in Mechanical Engineering from Hefei University of Technology, China Xing's research focuses on Robot Vision , Human Action Recognition , and Graph Convolutional Networks , with significant contributions to Human-Object Interaction Recognition , Scene Understanding , and Visual Depth Estimation . His work leverages machine learning to develop robust algorithms for human activity analysis and robotic perception, emphasizing spatio-temporal modeling and uncertainty handling in real-world scenarios. Analysis of his 13 recent publications (2019-2025) reveals a dominant focus on graph-based approaches for action recognition and segmentation, with increasing emphasis on open-world applications, uncertainty modeling, and healthcare integration. His research spans computer vision, robotics, and medical applications, demonstrating strong interdisciplinary impact through collaborations in surgical robotics and patient monitoring systems. Xing actively mentors students through master's thesis projects in Stereo Matching, Human Activity Segmentation, and Monocular Depth Estimation, requiring expertise in deep learning frameworks and computer vision algorithms. While no major grants are explicitly mentioned, his thesis topics indicate active research funding in geometric vision and human activity analysis. He operates within the Institute for Cognitive Systems (ICS) at TUM, a key unit in MIRMI's robotics ecosystem focused on advancing human-robot interaction through vision-based scene understanding and motion generation capabilities.
Professor
Markus Paulus is a Professor of Developmental Psychology and Educational Psychology of Early Childhood at the Ludwig Maximilian University of Munich, where he has held a professorship since 2013. His research focuses on the development of social understanding, particularly how humans come to recognize that others have individual goals, desires, and beliefs different from their own. He investigates the neurocognitive mechanisms underlying social cognition and how these capacities develop from early childhood through adulthood. Paulus's research interests center on the development of social understanding, empathy, morality, and prosocial behavior in early childhood. His work examines how children develop the ability to understand others' mental states, how this relates to their own action capabilities, and how neurocognitive mechanisms support the emergence of prosocial behaviors like helping, sharing, and comforting. He is particularly interested in the interplay between action experience and inferential reasoning in social understanding. Analysis of his recent publications reveals a strong focus on moral development, with particular attention to children's moral self-concept, resource allocation, and normative understanding. His work frequently examines how children develop concepts of fairness, justice, and prosocial behavior, often using cross-cultural comparisons and neurocognitive methods. A significant portion of his recent work explores the relationship between moral identity and behavior in early childhood. 2013 George Butterworth Young Scientist Award of the European Association for Developmental Psychology (EADP) 2016 Distinguished Early Career Award, International Conference on Infant Studies (ICIS) 2017 Understanding Human Cognition Scholar Award, James S. McDonnell Foundation Professor Paulus has supervised numerous students, including current GSN student Nina-Alisa Hinz. His research has been supported by prestigious funding sources, including the James S. McDonnell Foundation. In the 2024-2025 academic year, he is leading a CAS Research Group on the Ontogeny of Normativity, investigating how normative attitudes emerge during human development. His work bridges multiple disciplines, connecting developmental psychology with neuroscience, education, and moral philosophy to understand the foundations of human social cognition.
Researcher
Dr. Martin Semmann serves as the Managing Director of the Hub of Computing and Data Science (HCDS) at the University of Hamburg since 2023. Previously, he worked as a Postdoctoral Researcher & Managing Director at ahoi.digital (2018-2023) and as a Scientific Staff Member in the IT Management and Consulting (ITMC) department at the University of Hamburg (2011-2018). His academic background includes an M.Sc. and B.Sc. in Business Informatics from Georg-August-Universität Göttingen. Dr. Semmann's research spans multiple interdisciplinary domains with a strong focus on Artificial Intelligence applications for social good , including democratic discourse monitoring, hate speech detection, and equitable access to medical knowledge. His work bridges Natural Language Processing with political science, ethics, and low-resource language processing, particularly focusing on Amharic language applications. He has made significant contributions to Digital Transformation research, especially in sustainable mobility and public transportation systems. His publication portfolio demonstrates expertise across multiple domains including Retrieval-Augmented Generation systems, multilingual polarization analysis, interdisciplinary collaboration frameworks, and decolonial AI approaches. These works show a consistent pattern of addressing societal challenges through technological innovation while emphasizing ethical considerations and cultural relevance. Dr. Semmann actively supervises numerous final theses across diverse topics including Digital Transformation, Benefit Management, and Service Systems. His current research projects include WizARd (knowledge networking through augmented reality) and Rescue-Mate (dynamic situation creation for emergency responders). Previously, he contributed to projects such as IGT (Information Governance Technologies), ExTEND, PROMIDIS, and ProduSE. As an active member of the academic community, Dr. Semmann serves on editorial boards and as a reviewer for prominent journals including Business & Information Systems Engineering, Communications of the AIS, and the European Conference on Information Systems. He is also a founding member of the Artificial Intelligence Center e.V. since 2019.
Professor
Ioana Slabu, Professor at the Institute for Applied Medical Engineering (RWTH Aachen University), leads advancements in medical nanotechnology. Her work focuses on magnetic nanoparticles for diagnostics and therapy, particularly in MRI visualization of implants, magnetic hyperthermia for cancer treatment, and magnetic particle imaging (MPI) applications. Her research integrates multimodal imaging techniques mathematical modeling of magnetic fields biocompatible material design functionalized nanoparticle surfaces for applications in cardiovascular, pancreatic, and gastrointestinal diseases. Key publication trends include iron oxide nanoparticles for mesh implant tracking , 3D-printed tumor models for magnetic targeting, and millifluidic manufacturing of standardized nanoparticles. She also explores machine learning for nanoparticle synthesis optimization. As thesis advisor, she mentors doctoral candidates in biomedical engineering while collaborating with multidisciplinary teams at RWTH Aachen University's AMET institute, including partnerships with clinicians, physicists, and material scientists. Her leadership extends to developing hybrid stents with magnetic properties for tumor ablation and biodegradable polymer fibers with embedded nanoparticles for controlled drug delivery systems.
Professor
Prof. Dr. Dorothee Gelhard is a full Professor of Comparative Literature (Slavic/German/Romance Philology) at the University of Regensburg since 2002. She founded the Yiddish studies program (2007) and co-established the Master's program in General and Comparative Literature with Jewish studies focus (since 2007). As Principal Investigator of the Graduate School for Eastern and Southeastern European Studies (since 2012), she leads the research group 'Construction, Translation and Transgression in Art and Literature'. She also holds guest professorships at Hebrew University of Jerusalem (2012-2013) and University of Haifa (2014-2015). Specializes in Ernst Cassirer, Aby Warburg, Walter Benjamin, and Emmanuel Levinas Focus on German-Jewish, Russian-Jewish, and Italian-Jewish literatures Key research areas: Literary forms of philosophy, dance studies, and intermediality Her publications and editorial work (E.g., the Pegisha – Begegnung book series) emphasize Jewish cultural encounters with European modernity, including assimilation, secularization, and cultural memory. She has led seminars on dance-literature interactions, analyzing works like Romeo und Julia and Les Ballets Russes collaborations.
Professor
Lars Bernard is Full Professor for Geoinformatics at the Faculty of Environmental Sciences, Technische Universität Dresden since 2015. He also holds the position of Chief Digitalization and Information Management Officer (CDIO) at TU Dresden since 2020 and serves as member of the TUD Rectorate. PhD in Geoinformatics (University of Münster, 2001) Diploma in Physical Geography (University of Münster, 1995) His research focuses on (Geo-)Information Infrastructures , Distributed Geoprocessing , and Smart Environmental Monitoring . He has extensive experience in developing geospatial standards through roles in AGILE, EuroSDR, and INSPIRE initiatives. His publications demonstrate a consistent emphasis on: Metadata provision and data quality frameworks Interoperability solutions for geospatial systems Climate information service architectures User-driven provenance mechanisms As co-chair of RFII (2020-) and spokesperson for NFDI4Earth (2019-), he leads major German research data initiatives. He has advised numerous students and coordinated TU Dresden's Master Geoinformation Technologies program until 2018. Current leadership roles include serving on scientific editorial boards for Environmental Modelling & Software and International Journal of Spatial Data Infrastructures Research .
Professor
Prof. Ing. Peter Andres is a Professor for Daylight and Artificial Lighting Design at the Peter Behrens School of Arts, Hochschule Düsseldorf. He has been an Honorary Professor since 2006 and a member of the Freie Akademie der Künste in Hamburg since 2019. His work integrates physiological, biological, and psychological effects of light with architectural design. Education: Electrical Engineering (HTL Anichstraße, Innsbruck, 1976) Career Highlights: Founder of Peter Andres Lichtplanung (Hamburg, 1986; Tirol, 2001), speaker of Hamburg's Light Advisory Board since 2006. His research focuses on daylight systems , energy-efficient lighting , and human-centric illumination . He emphasizes the interplay between light, material effects, and architectural identity, with a particular interest in educational spaces, cultural monuments, and urban infrastructure. Selected awards include multiple Deutscher Lichtdesignpreis wins (2019, 2018, 2016, 2012, 2010), the Balthasar-Neumann-Preis (2016), and the Hamburger Designpreis (2003). He has contributed to publications on topics ranging from daylight in schools to LED systems in parliament halls . Teaching objectives include training students to master daylight dimensioning, evaluate lighting effects, and create integrated lighting concepts that balance energy efficiency with human needs.
Professor
Constanze Langer is Professor of Visual Interface Design at Potsdam University of Applied Sciences, where she has held academic positions since October 2012. She currently serves as Vice President for Digitalization and International Affairs (term: April 2022 - March 2028) and is an Honorary Professor at National Taipei University of Technology (Taipei Tech) in Taiwan since 2020. She is also a Member of the Advisory Board of the Weizenbaum Institute for the Networked Society (2023-2027) and Member of the Standing Commission on Digitalization of the German Rectors' Conference (since May 2024). Her academic journey began with industrial design studies at Magdeburg-Stendal University of Applied Sciences, with a focus on interface and interaction design. Prior to her professorship, she gained professional experience working for global industrial corporations and research institutions in Germany, Belgium, and England, primarily in product and software development for industrial applications. Langer's research focuses on digital sovereignty, specifically on the conception and design of artifacts and formats that strengthen individuals' competencies to handle data informedly. Her work investigates educational and participation formats while developing and evaluating innovative interfaces, infographics, and visualizations. She has held various leadership roles within the Department of Design, including International Affairs Officer, Department Council member, Equal Opportunities Officer, Head of the Interface Design Program, Vice Dean, and Dean of the Department of Design (2018-2020). Her publications demonstrate consistent focus on design education methodologies, intercultural collaboration in design, and the intersection of design with information science. The research trajectory shows increasing emphasis on digital sovereignty, data visualization, and international educational frameworks. Key projects include DataSkop (BMBF-funded), which explores how innovative interfaces can promote user digital sovereignty, and Unfolding Spaces, which develops intercultural online design education between German and Taiwanese institutions. Member of the Advisory Board of the Weizenbaum Institute for the Networked Society (2023-2027) Member of the Standing Commission on Digitalization of the German Rectors' Conference (since May 2024) Member of the Council of IT Officers (RIT) of the Center of Brandenburg Universities for Digital Transformation (ZDT) Principal investigator for BMBF-funded DataSkop project Lead for DAAD HAW.International Module A project FL²@Int'lFlex Langer is an active member of the Interaction Design Lab (IDL) at Potsdam University of Applied Sciences and has contributed to institutional development through curriculum reform initiatives like the 'Design nicht 0815' project, which integrates key competencies for the digitally influenced workplace into design degree programs. Her work bridges theoretical design research with practical applications in digital education and user interface development.
Professor
Florence Oloff is a Professor for German Linguistics and Multimodal Interaction at the University of Mannheim and a Researcher in the Department of Pragmatics at the Leibniz Institute for the German Language. She leads significant research projects including 'Navigating the digital everyday life: Elderly participants' use of mundane technologies in and for social interaction (DigiLife)' (2022-2026) and 'Smart Communication: The situated practices of mobile technology and digital literacies' (2019-2023). Her primary research interests center on conversation analysis, interactional linguistics, and multimodal analysis of embodied resources in social interaction. She investigates technology use in face-to-face communication, response particles and responsive actions, cross-linguistic comparison, and multilingual encounters. Her work bridges linguistic theory with practical applications in understanding how people interact with digital technologies in everyday contexts. Her recent publications demonstrate a strong focus on smartphone use in social interaction, multimodal analysis of technology-mediated communication, and cross-linguistic studies of conversational structures. She has published extensively in leading journals and edited volumes, with a particular emphasis on how digital technologies reshape social interaction across different contexts and age groups. As an active member of the academic community, she serves on the board of Gesprächsforschung eV, is part of the DFG network on Interactional Linguistics, and contributes to the scientific board of the transnational graduate school LOGOS. She also serves on the editorial board of the journal Slovo a Slovesnost. Professor Oloff actively supervises doctoral students, including Iuliia Avgustis (who defended her dissertation on smartphone use by young adults in August 2024), Tianyi Bai, Helena Budde, and Ivana Leinonen, demonstrating her commitment to mentoring the next generation of scholars in interactional linguistics and multimodal analysis.
Professor
Dietrich Kammer serves as Professor of Technical Visualization at Dresden University of Applied Sciences' Faculty of Computer Science/Mathematics, holding Germany's first dedicated professorship in this field established to address growing demands for innovative visualization methods in human-computer interaction. His teaching emphasizes project-based learning grounded in solid theoretical foundations, focusing on virtual/augmented reality technologies and comprehensible user interfaces across programs including Media Informatics and Geomatics. His research centers on transforming abstract data into interactive visual representations through technical visualization, employing creative techniques like metaphor production and morphological analysis. Key focus areas include tangible user interfaces, elastic displays, and multimodal interaction systems designed to enhance user experience with complex datasets. He explores how customized graphical interfaces can make otherwise unmanageable data volumes visually interpretable and actionable. Analysis of his 2021-2025 publications reveals dominant research themes in elastic display technology, tangible interaction, and information visualization. Notable trends include adaptive visual assistance systems for smart factories (AVISAR), dynamic vibrotactile feedback mechanisms, and AI applications in metadata acquisition and learning analytics. His work consistently bridges theoretical frameworks with practical industrial and educational implementations. No specific details regarding student advising or research grants appear in available materials, though he advocates for student-led project development in his pedagogical approach. He directs the Technical Visualistics Working Group, which functions as an interdisciplinary platform for developing innovative interaction and visualization solutions through collaborative research and development initiatives.
Researcher
Jonas Radlmayr is a Researcher at the Department of Ergonomics, Technical University of Munich, where he has been actively contributing since 2014 under Prof. Klaus Bengler's Chair. His work focuses on human factors in automated driving systems, with emphasis on driver-state modeling and transition-of-control mechanisms. Education: Diplom-Ingenieur (Master's equivalent) in Mechanical Engineering, Technical University of Munich (2013), specializing in Control Engineering and Ergonomics Radlmayr's research investigates critical human-automation interaction challenges in conditionally automated driving (Level 3). His work examines how driver drowsiness, non-driving tasks, and system reliability impact take-over performance during transitions of vehicle control. He has pioneered methodological frameworks including the Take-Over Performance Score (TOPS) for quantifying driver readiness and developed integrative models for drowsiness progression in automated contexts. His experimental designs address real-world challenges in human-machine interface validation and driver monitoring system development. Analysis of his 15 most recent publications reveals consistent focus on driver availability metrics, human factors in cut-in scenarios, and mental model formation regarding automation levels. The research demonstrates strong interdisciplinary connections between cognitive psychology, transportation engineering, and physiological monitoring, with recurring themes in usability evaluation frameworks and safety-critical transition protocols. As an integral member of TUM's Ergonomics Chair, Radlmayr utilizes advanced research infrastructure including the Dynamical Mock-Up, Modular Ergonomic Mockup, and Static Driving Simulator. His collaborative work with industry partners addresses practical implementation challenges in automated vehicle design while advancing theoretical understanding of human-automation teaming in transportation systems.
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