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Uwe Flick is a Seniorprofessor in the Department of Education and Psychology at Freie Universität Berlin, specializing in Qualitative Social and Education Research. He has held professorships at Alice Salomon University and Hannover Medical School and is internationally recognized for his contributions to qualitative methodology. Education: Dr. phil. from Freie Universität Berlin (1988), Habilitation in Psychology from Technical University of Berlin (1994). Professional Affiliations: Freie Universität Berlin (2013–present, Seniorprofessor since 2022), Alice Salomon University (2004–2013), Hannover Medical School (1996–1997). His research centers on qualitative methods , social representations of health and illness , chronic illness , migration , and vulnerability . He investigates the lived experiences of marginalized groups, including chronically ill youth, homeless adolescents, and refugees, often employing triangulation and mixed methods to deepen understanding. The 15 most recent publications highlight his sustained focus on advancing qualitative research methodology—editing handbooks, writing foundational texts, and refining concepts of research quality, triangulation, and design. Simultaneously, his empirical work explores health communication, peer relationships, and integration challenges among vulnerable populations, demonstrating a powerful integration of methodological innovation with socially relevant inquiry. Scientific Awards: Lifetime Achievement Award in Qualitative Inquiry, ICQI (2019) Flick actively advises doctoral students through his Promotionskolloquium and has secured substantial research funding for projects on refugee integration, sleep disorders, and chronic illness. His editorial roles in journals like Qualitative Research , Journal of Health Psychology , and Sozialer Sinn , and his leadership in book series such as Qualitative Sozialforschung , underscore his influence in shaping the field. He is a central figure in qualitative research communities, frequently engaging as a visiting scholar and professor across Europe and globally. He leads a research team at Freie Universität Berlin, supervising master’s and doctoral projects on topics like peer relations, health concepts, and migration, fostering the next generation of qualitative researchers.

• Qualitative Research Methods
• Social Representations of Health and Illness
• Chronic Illness
• +12 more

Rainer Watermann is a Full Professor for Empirical Research in Education at the Free University of Berlin since 2011, previously serving as Full Professor for Education and Empirical Research in Schools at Georg-August University of Göttingen (2005-2011). His academic career includes significant research positions at the Max Planck Institute for Human Development in Berlin (1997-2005). Watermann earned his Diploma in Educational Science from the University of Münster (1996), followed by a Dr. phil (2002) and Habilitation (2005), both from Freie Universität Berlin. His educational background established the foundation for his extensive research in educational transitions and disparities. His research focuses on educational transitions, particularly from primary to secondary school and into higher education, examining motivational factors, social background influences, and achievement goal development. Watermann's work consistently addresses how social disparities affect educational opportunities and outcomes, with particular attention to gender differences and longitudinal developmental patterns. His methodological expertise includes latent class analysis, structural equation modeling, and large-scale assessment design. Watermann's publication portfolio reveals consistent research trajectories examining motivational frameworks (particularly expectancy-value theory), educational transitions, social disparities in education, and political socialization. His work spans both theoretical development and practical applications for educational policy and practice, with increasing focus on intervention effectiveness in recent years. As an active member of the academic community, Watermann serves on multiple editorial boards including the Swiss Journal for Educational Sciences and Empirical Educational Science , and regularly reviews for major educational and psychological journals. He has also contributed to significant research centers, including serving as spokesman for the Center for Empirical Research on Teaching and Learning in Schools (ZeUS) at the University of Göttingen (2008-2010). Watermann maintains an active research program with numerous collaborations across Germany and internationally, evidenced by his consistent publication record through 2025. His work bridges educational psychology, sociology of education, and policy-relevant research, maintaining strong connections between theoretical frameworks and practical educational contexts.

• Educational Science
• Empirical Research in Education
• Student Motivation
• +5 more

Dr. phil. Stefan Ladwig is a researcher at the Institute for Automotive Engineering (Institut für Kraftfahrzeuge) at RWTH Aachen University, specializing in traffic psychology, user acceptance, and human-machine interaction for automated driving systems. His work addresses psychological and ergonomic aspects of emerging mobility technologies, including seating ergonomics, trust-building mechanisms, and communication strategies for autonomous delivery robots. Research Focus: Automated driving, interior design psychology, driver/passenger behavior, and safety requirements. Projects: Lead roles in UrbANT (autonomous delivery robot) and SteeringBow (dynamic driving experience). Collaborations: Affiliated with Aldenhoven Testing Center, Future Mobility Partnership e.V., and innocam.NRW. Ladwig’s recent publications examine rotated seating positions, visual dominance in speed adaptation, and trust-relevant driving scenarios, reflecting his interdisciplinary approach to optimizing human-vehicle interactions. His work spans ergonomics, energy management, and behavioral interventions to enhance safety and usability in next-generation mobility solutions.

• Automated Driving
• Human-Machine Interaction (HMI)
• Traffic Psychology
• +5 more

Anna Levina is an Assistant Professor for Computational Neuroscience at the University of Tübingen , affiliated with the Department of Computer Science under the Faculty of Science. Her research focuses on the self-organization of neuronal activity, critical dynamics in neural networks, and the excitation/inhibition balance in cortical circuits. Current positions: Assistant Professor (since 2018), Group Leader (2017-2018), Equality Officer (Computer Science) Previous roles: IST Fellow (2015-2017), Associated Researcher (2011-2015), Postdoc/PI (2011-2015), Postdoc (2008-2011) Her research integrates mathematical modeling , statistical physics , and computational neuroscience to study criticality phenomena, neural avalanches, and adaptive network dynamics. Key interests include: Self-organized criticality in neural systems Excitation/Inhibition balance mechanisms Network topology and dynamics Timescale analysis in neural processing Stochastic modeling of neural activity Recent publications reveal trends in understanding critical dynamics across biological and artificial networks, with applications to memory systems, sensorimotor integration, and disease modeling. She has received recognition as an IST Fellow .

• Self-organized criticality
• Neuronal network dynamics
• Excitation/Inhibition balance
• +5 more

Prof. Dr. Jonas Schreyögg is a Professor of Healthcare Management and Scientific Director of the Hamburg Center for Health Economics (HCHE) at the University of Hamburg since 2010. He holds the Chair of Healthcare Management and serves as Deputy Chairman of the German Council of Economic Experts for Health and Nursing Care. His roles also include memberships on scientific advisory boards and associated research at Stanford University. Education & Career: Doctorate and Habilitation (2008) from Technical University of Berlin Former Professor at Ludwig-Maximilians-University of Munich (LMU Munich) Junior Professor at Technical University of Berlin Harkness Fellow at Stanford University (2006–2007) Research Interests: Focus on healthcare systems, health economics, hospital payment reforms, pandemic policy responses, and healthcare workforce optimization. Key areas include DRG systems, healthcare competition, and socioeconomic disparities in health outcomes. He has conducted extensive research on the impact of policy interventions during the COVID-19 pandemic, including lockdown perceptions and vaccine acceptance. Grants & Awards: Recipient of the Harkness Fellowship, German National Academic Foundation doctoral scholarship, and multiple research grants. His work has been published in leading journals like Health Affairs , Journal of Public Health , and Social Science & Medicine . Professional Activities: Engaged in international collaborations and teaching in Norway, Singapore, Taiwan, and the U.S. He advises on healthcare policy and has contributed to high-profile reports on healthcare workforce sustainability and pandemic response strategies.

• Healthcare Management
• Health Economics
• Health Policy
• +5 more

Prof. Jochen Hartmann holds the Digital Marketing professorship at the TUM School of Management (Munich). Previously, he was an assistant professor at the University of Groningen's School of Business and Economics and worked as a management consultant at McKinsey & Company. He earned his doctorate from the University of Hamburg and coordinated the DFG research group FOR 1452 (2019-2022). His research focuses on digital marketing and machine learning, particularly analyzing unstructured data (computer vision, NLP) and generative AI. Key themes include social media, algorithmic fairness, diversity in advertising, and human-machine interactions. Education: Ph.D. in Business Administration (University of Hamburg), Management Consulting experience at McKinsey & Company. Research interests combine cutting-edge AI techniques with marketing challenges. Recent work explores generative AI's impact on advertising, algorithmic bias in finance, and visual search innovations. His text/image mining studies rank among top-cited articles in marketing journals like the International Journal of Research in Marketing and Journal of Marketing Research. Awards include the EMAC-Sheth Sustainability Award, Lindau Nobel Laureate Meetings' Young Economist distinction, and multiple best dissertation awards. Grants: Led DFG-funded research group (2019-2022). Affiliated with Columbia Business School (visiting scholar) and Mannheim Business School (lecturer in machine learning). Labs/Teams: Active in interdisciplinary research groups focusing on AI applications in marketing and business analytics.

• Digital Marketing
• Machine Learning
• Computer Vision
• +7 more

Jishen Zhao is an Assistant Professor in the Department of Computer Science and Engineering at the University of California, San Diego (Jacobs School of Engineering). His research focuses on computer architecture, non-volatile memory systems, and deep learning acceleration. Dr. Zhao has published extensively in top venues including ISCA, MICRO, ASPLOS, and IEEE Transactions. He collaborates with researchers at UCSD and beyond to advance systems for emerging applications in AI and autonomous vehicles. Dr. Zhao's primary research areas include persistent memory systems, hardware/software co-design for deep learning, and safety-critical computing. He develops techniques for crash consistency, memory disaggregation, and efficient neural network deployment. His work on autonomous vehicles addresses scenario generation and perception-aware system design. Recent projects explore LLM applications for software engineering and hardware verification. Analysis of Dr. Zhao's 2024-2025 publications reveals a strong shift toward AI-integrated systems research. He applies large language models to tasks like RTL verification and software issue localization while continuing to innovate in memory systems for serverless computing. There is growing emphasis on safety-critical systems for autonomous vehicles and energy-efficient neural network training using novel hardware architectures. Information about Dr. Zhao's scientific awards, advising activities, grants, and laboratory facilities was not available in the provided documentation.

• Computer Architecture
• Non-Volatile Memory Systems
• Deep Learning Systems
• +3 more

Prof. Dr. Tobias Gemmeke is a University Professor at RWTH Aachen University's Faculty of Electrical Engineering and Information Technology, leading the Chair of Integrated Digital Systems and Circuit Design. His work focuses on neuromorphic computing, hardware accelerators, and energy-efficient electronics. He has pioneered advancements in FPGA-based computational neuroscience simulators, neuromorphic processor architectures, and sensor integration for industrial and medical applications. Research interests include time-domain computing, ReRAM reliability, and co-optimization of neural networks with hardware. Notable contributions include the neuroAIx framework for accelerated neuroscience simulations and energy-efficient ASIC designs for post-quantum cryptography. He actively explores memristive devices and domain generalization techniques for edge computing. Recent publications highlight innovations in spiking neural networks, sensor systems for plain bearings, and time-domain compute-in-memory engines. His work bridges theoretical neuroscience with practical hardware implementations, emphasizing scalability and real-time performance.

• Neuromorphic Computing
• Hardware Accelerators
• VLSI Circuits
• +5 more

Steffi Haag is a Professor of Digital Innovation and Entrepreneurship at the Institute of Computer Science , Heinrich Heine University Düsseldorf (HHU) . She bridges the Faculty of Mathematics and Natural Sciences and Faculty of Business Administration and Economics , collaborating with the Center for Entrepreneurship Düsseldorf (CEDUS) to inspire tech startups. Her research focuses on sustainable information systems, digital experiences, and business models. Steffi Haag’s research integrates Shadow IT , Usable Cybersecurity , and Digital Idea Management . Her work emphasizes theoretical , quantitative , qualitative , and mixed-methods research , including experimental and survey methodologies. Steffi Haag’s publications (2018–2024) span Information Systems , Cybersecurity , Digital Twins , and Sustainable Design . Common themes include Shadow IT dynamics , user behavior in security , and innovation management . Hermann Gutmann Award for special scientific achievements (2023) Schöller Fellow (2020) HMD Best Paper Award (2018) Research Award in Data Protection and Data Security (2017) Dissertation Prize (2017) Steffi Haag has secured grants such as the TU Darmstadt Postdoctoral Fellowship for Female Researchers (2016–2018) and Deloitte Foundation Fellowship (2009–2011). She actively moderates conferences and serves as Associate Editor of Business & Information Systems Engineering .

• Digital Innovation
• Digital Business Models
• Shadow IT
• +3 more

Markus Koller is a faculty member at Ruhr-Universität Bochum, affiliated with the Center for Religious Studies (CERES). His research focuses on Ottoman history, South-East European studies, and religious historiography. He holds an academic rank of Researcher and has been active in multiple projects, including the CERES Research Department. His work spans Ottoman military expansion, religious policies, and cultural exchanges. Notable contributions include studies on Atatürk's political biography, Ottoman-European diplomatic relations, and the historiography of the Ottoman Empire. Koller's publications cover books, edited volumes, and articles in peer-reviewed journals, reflecting his expertise in interdisciplinary historical research. He currently serves as a member of the CERES Research Department and has contributed to collaborative projects such as the 'Ottoman Europe' research initiative. His email is Markus.Koller@ruhr-uni-bochum.de .

• Ottoman History
• South-East European Studies
• Religious Studies
• +3 more

Jens Behley is a Lecturer (Privatdozent) and postdoctoral researcher at the Department of Photogrammetry, University of Bonn. He completed his habilitation in 2023 with a thesis on LiDAR-based spatio-temporal scene understanding for autonomous vehicles and earned his PhD in 2014 under Prof. Armin Cremers. His research focuses on LiDAR perception, agricultural robotics, and 3D scene understanding. Behley is an Associate Editor at IEEE Robotics and Automation Letters (RA-L) and has authored influential datasets like SemanticKITTI and BonnBeetClouds3D. Education: PhD in Computer Science, University of Bonn, 2014 Habilitation in Photogrammetry, University of Bonn, 2023 Research Interests: LiDAR-based perception in urban and agricultural environments, machine learning for robotics, semantic mapping, SLAM algorithms, and 3D reconstruction. His work bridges computer vision and robotics, with applications in autonomous vehicles and precision agriculture. Awards: Best Agri-Robotics Paper Award (IROS 2024) Outstanding Reviewer Awards (ECCV, CVPR, ICRA) Faculty Award for Geodesy (2021) Advisees & Grants: Behley collaborates extensively with the PRBonn lab and researchers like Cyrill Stachniss, focusing on projects funded by EU Horizon and industry partners. His team develops open-source tools for LiDAR processing (e.g., KISS-ICP, VDBFusion). Labs/Teams: Part of the Photogrammetry and Robotics Institute (IGG) at the University of Bonn, contributing to the PRBonn research group.

• LiDAR-based Perception
• Autonomous Vehicles
• Agricultural Robotics
• +4 more

Prof. Dr. Andreas Zick is a leading scholar at Bielefeld University, serving as Scientific Director of the Institute for Interdisciplinary Conflict and Violence Research (IKG) and Professor for Socialization and Conflict Research at the Faculty of Education. He also co-leads the ConflictA initiative since 2023 and contributes to migration education through the Faculty of Education. 2008: Professor for Socialization and Conflict Research, Bielefeld University 2013: Director of IKG 2023: Scientific Head of ConflictA His research focuses on intergroup conflicts , group-based antipathy , right-wing extremism , radicalization , and socialization processes . He investigates spatial dimensions of radicalization, societal integration challenges, and prejudice dynamics through comparative studies. Recent publications analyze radicalization spaces (2024-2025) using spatial sociology, democratic conflict perceptions (2025), and cross-cultural prosocial behavior during pandemics. Key methods include ethnography, longitudinal surveys, and multi-perspective comparative analysis. Scientific contributions recognized by: Communicator Award (2016) Nevitt Sanford Lifetime Award (2022) Active in public policy as member of the Federal Agency for Civic Education's advisory board and Federal Commissioner's Antiracism Expert Council. Leads major projects on radicalization prevention and spatial conflict dynamics with national/international partners.

• Conflict
• Group-based Antipathy
• Right-wing Extremism
• +12 more

Prof. Torsten Wolfgang Kuhlen serves as a Universitätsprofessor at RWTH Aachen University, leading the Teaching and Research Area for Virtual Reality and Immersive Visualization within the Department of Computer Science. He is affiliated with Chair of Computer Science 12 (High Performance Computing), the Visual Computing Institute, and remains an integral part of the RWTH IT Center where his research group operates one of the world's largest Virtual Reality laboratories including the 30 sqm aixCAVE visualization chamber. The group maintains strong connections with Computational Science & Engineering Division, National High Performance Computing Center for Computational Engineering Science (NHR4CES), and VR in Science and Industry Network NRW e.V. Prof. Kuhlen's research spans virtual reality, immersive visualization, and multimodal 3D user interfaces with applications across simulation science, production technology, neuroscience, and medicine. His work combines basic research on advanced methods and algorithms with interdisciplinary collaborations involving RWTH Aachen institutes, Forschungszentrum Jülich, and industry partners. Recent publications demonstrate strong focus on audiovisual perception, immersive analytics, collaborative virtual environments, and practical VR applications in education and manufacturing. His research group has produced significant work on listening effort in virtual environments, immersive authoring techniques, and VR applications for scientific visualization. Notable projects include VRScenarioBuilder for automated vehicle testing and applications in monitoring additive manufacturing processes. The group actively participates in major conferences including IEEE VIS and EuroVis, with several award-winning contributions. Prof. Kuhlen has advised PhD students including Martin Bellgardt who recently completed his doctoral degree on "Increasing Immersion in Machine Learning Pipelines for Mechanical Engineering". The research group maintains state-of-the-art VR infrastructure including the aixCAVE facility which is open to all RWTH research groups.

• Virtual Reality
• Immersive Visualization
• Scientific Visualization
• +5 more

Dr. Benjamin Busam is a Senior Research Scientist at the Technical University of Munich , affiliated with the Chair for Computer Science Applications in Medicine under Prof. Nassir Navab. Starting September 2025, he will hold the Professorship for Photogrammetry and Remote Sensing at TUM. His career includes leadership roles at FRAMOS Imaging Systems and Huawei Research in London. Education: Mathematics (TUM), Mathematics and Physics (ParisTech, University of Melbourne), PhD in Mathematics (TUM, 2014) His research focuses on 3D computer vision , multi-modal sensor fusion , and their applications in collaborative robotics and augmented reality . He specializes in projective geometry , 6D pose estimation , and neural radiance fields , with a particular emphasis on photometrically challenging environments. Recent publications highlight advancements in 3D scene understanding , neural rendering , and medical imaging , often leveraging machine learning and vision-language models . His work has been recognized through awards like the EMVA Young Professional Award (2015) and Innovation Pioneer of the Year (2019) , along with multiple Outstanding Reviewer distinctions at leading conferences. Dr. Busam has supervised numerous PhD and MSc students on topics including 6D pose estimation , medical augmented reality , and robotic ultrasound , collaborating with institutions like MIT , École Polytechnique , and University of Padova .

• 3D Computer Vision
• Multi-Modal Sensor Fusion
• Collaborative Robotics
• +6 more

Sebastian Schmidt is a researcher at the Technical University of Munich (TUM) within the Department of Informatics - I26 (Data Analytics and Machine Learning) under Prof. Dr. Stephan Günnemann. His work is situated in the TUM School of Computation, Information and Technology, where he contributes to cutting-edge research in machine learning applications. His research focuses on active learning methodologies with particular emphasis on out-of-distribution detection and uncertainty estimation in open-world perception systems. His work bridges theoretical machine learning with practical applications in computer vision and robotics, as evidenced by publications in top-tier conferences like CVPR, ICRA, and IROS. His recent publications demonstrate a consistent research trajectory in developing active learning frameworks that address real-world challenges in perception systems. The publications show increasing sophistication from temporal stream processing to multi-agent robotic applications and safety-constrained sensor fusion. As a member of the Data Analytics and Machine Learning group, he collaborates extensively with colleagues including Leo Schwinn, Stephan Günnemann, and others across multiple publications. His research has practical implications for autonomous systems requiring reliable perception under uncertainty.

• Active Learning
• Out-of-distribution Detection
• Uncertainty Estimation
• +3 more