Roskilde UniversityDenmark
Lars Morten Bek is a Lecturer at Roskilde University's Department of People and Technology. He can be contacted via email at lmbek@ruc.dk. His work focuses on the intersection of human behavior and technological systems.
استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشیتان را پیدا کنید و با او ارتباط بگیرید.
نمایش ۶۹۱-۷۰۵ از ۹۱۶ استاد راهنما
اطلاعات این پروفایلها از صفحات عمومی دانشگاهها جمعآوری شده و ممکن است بهروز نباشد.
Lars Morten Bek is a Lecturer at Roskilde University's Department of People and Technology. He can be contacted via email at lmbek@ruc.dk. His work focuses on the intersection of human behavior and technological systems.
مدرس پارهوقت
Pernille Zornig Bille is a Part-Time Lecturer at the Department of People and Technology, Roskilde University, Denmark. Her research interests likely intersect technology and human-centered disciplines, given her departmental affiliation. Potential areas include digital education, media-society interactions, and interdisciplinary technology studies. She can be contacted via email at pernillezb@ruc.dk at Roskilde University's campus address: Universitetsvej 1, DK-4000 Roskilde, Denmark.
مدرس پارهوقت
Mette Bladt is a PartTime Lecturer affiliated with the Department of People and Technology at Roskilde University in Denmark. Her academic work focuses on interdisciplinary research at the intersection of technology and human behavior. Position: PartTime Lecturer Department: People and Technology University: Roskilde University Research interests include: Human-Computer Interaction Technology and Society Social Sciences Digital Humanities Organizational Studies Sustainable Technologies
Michael Bang Petersen is a Professor at the Department of Political Science, Aarhus University. His research bridges evolutionary psychology and political science, focusing on fundamental human cognitive mechanisms that shape political decision-making. Specializes in evolutionary political psychology Expert in behavioral immune system theory Pioneering work on physiological influences on welfare attitudes His recent publications analyze: Evolutionary origins of leadership preferences Biological determinants of economic redistribution Emotional influences on policy perceptions Computational modeling of complex interactions He leads or participates in major research initiatives including: BICLabs: Behavior, Interaction and Cognition Labs Computational Modeling of Complex Interactions (CMCI) Conflict and Democratization (CODE) research projects
استادیار
Jesper Rasmussen is an Assistant Professor at the Department of Political Science, Aarhus University, specializing in political behavior, public health communication, and social media dynamics. His work bridges political science with psychology and behavioral science, focusing on pandemic response mechanisms and digital discourse. Primary affiliation: Department of Political Science, Aarhus University Research focus: Public health communication, social identity theory, pandemic stress, and political hostility Research Trends: His recent articles highlight the interplay between political behavior and psychological responses during crises, particularly the COVID-19 pandemic. Key themes include misinformation mitigation, stress and loneliness in global populations, compliance with health measures, and the role of moral foundations in digital spaces. Scientific Contributions: Co-developed the COVIDiSTRESS Global Survey dataset (2020) Published in journals like Journal of Experimental Political Science and Royal Society Open Science
دانشیار مدعو
Helle Elisabeth Andersen is an Adjunct Associate Professor at the Department of People and Technology, Roskilde University, Denmark. Her work bridges health studies and technological innovation. Research Focus: Interdisciplinary studies connecting public health, social sciences, and human-centered technology design.
دانشیار
Mads Høbye serves as an Associate Professor in the Department of People and Technology at Roskilde University, Denmark, where he investigates the intersection of digital technology and human experience through computational logic, sensors, and artistic expression. He co-founded illutron collaborative, an interactive art collective operating from a Copenhagen Harbor barge that provides non-commercial space for artists working with technology and biology. His educational background includes: PhD in Interaction Design from Malmö University (2014), focusing on "Designing for Homo Explorens: open social play in performative frames" Høbye's research centers on digital materiality as a hybrid of physical and digital technologies, with three core strands: (1) exploring the experiential and aesthetic potential of dynamic material technologies, (2) developing frameworks for creative computational technology use, and (3) enabling democratic technology ownership through open knowledge-sharing and digital fabrication labs. His work manifests in interactive installations that examine interpersonal dynamics within technological contexts. Key research areas include: Human-Computer Interaction Interactive Art and Performance Digital Fabrication and Maker Culture Open Source Hardware Development Embodied Interaction Design Recent publications (2020-2025) reveal consistent focus on integrating maker culture into educational settings, analyzing bodily play in interactive systems, and deploying interactive artifacts in performance environments. His work demonstrates how digital fabrication democratizes technology access while emphasizing reflexive assessment in student-driven projects and the social dimensions of human-technology interaction in public spaces. Høbye leads and participates in interdisciplinary research initiatives exploring technology's role in education and artistic expression: Active Project : Low-Code Programming of Spatial Contexts for Logistic Tasks in Mobile Robotics (2022–present) Completed Projects : MemoryMechanics (2020–2023), Robots on stage (2018–2020), Connecting through pulse with Royal Danish Theatre (2017–2018), Dynamic transparencies (2017–2018) Through illutron collaborative and fablab initiatives, Høbye maintains laboratory spaces focused on community-driven technological experimentation. The collective operates as a non-profit governed by active members, providing facilities for artists to work with technology, biology, and scrap materials while hosting exhibitions in museums and public settings since 2004. His current work emphasizes creating frameworks for democratic technology ownership through open knowledge-sharing practices.
پژوهشگر ارشد
Daniel van Dijk Jacobsen serves as a PhD Fellow in the Department of People and Technology at Roskilde University, Denmark. His research bridges technological systems and human societal structures within an interdisciplinary academic framework. His primary research domains include: Human-Computer Interaction Social Informatics Digital Society studies Technology and Society interfaces Sociotechnical Systems analysis As an early-career researcher, he maintains active academic engagement through his institutional role while developing expertise in the intersection of digital technologies and human behavior. No laboratory affiliations, student supervision activities, or scientific awards are currently documented in available sources.
Konstantinos Skitsas serves as an Assistant Lecturer and Visiting PhD Student at the Department of Computer Science, University of Copenhagen, affiliated with the Software, Data, People & Society (SDPS) section under Head of Section Dmitriy Traytel. His research focuses on data management systems and graph algorithms, specifically developing scalable techniques for subgraph matching and spectral filtering. This work addresses computational challenges in processing large-scale graph-structured data, with applications in social network analysis and pattern recognition. The SDPS section emphasizes interdisciplinary collaboration with industry to create software systems aligned with human and societal needs. His 2025 publication “Pilos” represents current work in graph processing efficiency, contributing to IEEE ICDE proceedings. The SDPS research environment actively explores topics like offline speech recognition and process discovery as indicated in section news. As part of the Department of Computer Science, he contributes to teaching while conducting PhD research within Copenhagen’s computational ecosystem, with office locations at Universitetsparken 1 (2100 Copenhagen Ø) and Sigurdsgade 41 (2200 Copenhagen N).
استاد مهمان
David Alan Basin serves as a Visiting Professor in the Department of Computer Science at the University of Copenhagen, affiliated with the Software, Data, People & Society research section. His contact details include email (david.basin@di.ku.dk), telephone (+4535330153), and office address at Sigurdsgade 41, København N. His research interests, directly derived from his section's scope, encompass Software Engineering, Data Science, Human-Computer Interaction, and Social Computing. These fields reflect the section's focus on technological systems intersecting with societal impact, data management, and human-centered design principles. No information is available in the provided texts regarding scientific awards, student advising activities, research grants, or laboratory affiliations.
مدرس پارهوقت
Helge Kastrup is a Part-Time Lecturer at the Department of Computer Science and Department of Mathematical Sciences at the University of Copenhagen . His work bridges Natural Language Processing , Physics Education , and Human-Computer Interaction , with a focus on addressing student challenges in physics learning. Email: helge@di.ku.dk Email: hk@math.ku.dk In 2023, he co-authored the book Fear of Physics: And How to Help Students Overcome It , exploring educational strategies to reduce physics anxiety through pedagogical innovation. His research intersects disciplines like Cognitive Science , Psychology , and Computational Linguistics . Helge contributes to the Natural Language Processing section at DIKU, which focuses on statistical models for text processing, misinformation detection, and multi-modal language learning. He is affiliated with the SCIENCE AI Centre at the University of Copenhagen, engaging in interdisciplinary AI research.
پژوهشگر ارشد
Vésteinn Snæbjarnarson is a Research Fellow at the Department of Computer Science , University of Copenhagen , affiliated with the Pioneer AI (P1AI) research group. His work spans Natural Language Processing and Machine Learning , focusing on language model interpretability, sentiment analysis, and efficient model architectures. Research Interests: His research examines the intersection of language model steering , emotional response analysis , and resource-constrained AI . Key areas include adversarial robustness, open-set recognition, and sentiment detection in Icelandic text. Recent Trends: 2024 publications highlight advancements in quantized model optimization , multilingual sentiment datasets , and neural network security , with applications to both technical AI (computer vision, language modeling) and human-centric AI (emotional impact of geohazards).
Adrián Avelino Sousa-Poza is a Researcher at the Department of Computer Science , University of Copenhagen, specializing in Machine Learning and its applications across diverse domains including Artificial Intelligence , Medical Data Analysis , and Quantum Computing . His research intersects with the SCIENCE AI Centre , focusing on both theoretical and applied aspects of machine learning. Recent work explores environmentally sustainable AI , quantum-enhanced models , and cross-cultural adaptation systems , reflecting his interdisciplinary approach. Key themes in his publications include large language models , quantum computing applications , and healthcare informatics , with a particular emphasis on interpretability , fairness , and hardware optimization in AI systems.
پژوهشگر ارشد
Ian Walter Orzel is a PhD Fellow in the Machine Learning section at the Department of Computer Science, University of Copenhagen . He is affiliated with the SCIENCE AI Centre and contributes to interdisciplinary research bridging machine learning with quantum computing, healthcare diagnostics, and environmental sustainability.
Martin Inigo Aguayo is an Instructor at the Department of Computer Science (DIKU), University of Copenhagen, affiliated with the Software, Data, People & Society (SDPS) section. Based at Universitetsparken 1, 2100 Copenhagen Ø, Denmark, he contributes to DIKU's mission in computing education and research. His research interests center on Software Engineering and Data Management , with emphasis on Human-Computer Interaction and Society and Computing . The SDPS section focuses on developing software systems optimized for both developers and end-users through interdisciplinary collaboration with industry, ensuring societal value creation in process management and data-driven solutions. The SDPS section, led by Associate Professor Dmitriy Traytel, operates within DIKU's research framework exploring software, data, and human-centric computing. Martin Inigo Aguayo's role supports this ecosystem through teaching and potential contributions to the section's industry-partnered projects in computational societal impact.
فقط ۷۵۰ نتیجه اول نمایش داده میشود. برای رسیدن به نتایج دقیقتر، جستوجو را با فیلترها محدودتر کنید.
