جست‌وجوی استاد و پژوهشگر

• Semiotic text theory and analysis
• Cognitive language theory
• Cognitive literary theory
• +۱۰ مورد دیگر

Helle Munkholm Davidsen serves as Head of Department at the Department of Arts and Cultural Studies, Faculty of Humanities, University of Copenhagen. Her academic profile integrates theoretical research in semiotics and cognitive literary theory with practical applications in educational innovation, focusing on how cultural studies translate to societal value. Her research centers on semiotic text analysis, cognitive language theory, and aesthetic cognition, with specialized expertise in French literature (particularly Proust) and poststructuralist philosophy (Baudrillard, Deleuze). Current projects explore entrepreneurship as transformative pedagogy, innovation as semiotic-cognitive imagination, and Nordic collaborative networks for entrepreneurship education beyond business contexts. She actively bridges academic theory with educational practice, developing frameworks for applying literary studies in primary/secondary education through didactic innovation. Recent publications (2018-2021) reveal a consistent focus on reimagining educational paradigms through semiotic and entrepreneurial lenses. Her work demonstrates how hypothesis-based didactics, transformative pedagogy, and practice-oriented teaching methodologies can foster sustainable formation and cognitive flexibility. Key thematic threads include the integration of multimodal texts in curriculum design, Peircean semio-pragmaticist learning philosophy, and the societal value of humanities education. Davidsen collaborates extensively with researchers including C. Højlund, M. Brandsen, and T.K. Skov on national educational projects, producing influential reports on application-oriented teaching. She leads the Nordic research network 'Entrepreneurship education beyond business,' which develops cross-border pedagogical models for non-commercial innovation contexts. Her work demonstrates significant institutional impact through strategic research leadership and practical educational resource development.

• Marine Biology
• Invertebrate Zoology
• Phylogenetics
• +۵ مورد دیگر

Maria Herranz Matesanz, Ph.D., serves as a Guest Researcher within the Department of Biology (Marine Biology) at the University of Copenhagen's Faculty of Science , based at the Helsingør campus (Strandpromenaden 5, 3000 Helsingør). Her research focuses on marine invertebrate biodiversity, utilizing phylogenomics and advanced imaging techniques to study meiofauna and rare animal taxa. Her research interests span marine invertebrate taxonomy , phylogenetics of microscopic organisms , and evolutionary adaptations in extreme environments . Key areas include: Genomic analysis of Micrognathozoa and Priapulida Autofluorescence imaging of micro-arthropod exuviae Cryptic speciation in circumtropical hemichordates Morphological evolution in kinorhynchs and loriciferans Population connectivity in Arctic meiofauna Recent publications demonstrate interdisciplinary approaches combining molecular biology, computational methods, and traditional taxonomy. Her 25 research outputs (2023-2025) reveal strong collaborative networks across Denmark, Spain, Japan, and the Americas, with frequent co-authorship with M. V. Sørensen and K. Worsaae. Publications appear in high-impact journals like Proceedings of the Royal Society B and Molecular Phylogenetics and Evolution , emphasizing open-access dissemination and significant social media engagement (25+ X posts, Wikipedia citations). Professional recognition includes: ORCID: 0000-0002-3020-6072 Mendeley readership across 8 publications (3-6 readers each) Bluesky and peer review site mentions Maria actively contributes to marine biology through collaborative research projects analyzing global meiofauna distributions. Her work at the Helsingør marine station leverages museum collections and cutting-edge genomic tools to address fundamental questions in evolutionary biology, with emerging focus on machine learning applications in species identification.

• Pharmacovigilance
• Drug Utilization Research
• Clinical Pharmacology
• +۵ مورد دیگر

Morten Andersen serves as Professor in both Translational and Clinical Pharmacology and Pharmaceutical Informatics at the University of Copenhagen's Faculty of Health and Medical Sciences, Department of Drug Design and Pharmacology. His research bridges pharmacological science with real-world healthcare data analysis, focusing on medication safety and utilization patterns. His research interests center on pharmacovigilance methodologies, particularly using Nordic healthcare registries to evaluate drug safety and pandemic impacts. Key areas include AI applications in drug utilization research, epidemiological surveillance through cumulative sequential analysis, and cross-country comparative studies of medication use during health crises. His work demonstrates strong collaboration across Nordic countries with emphasis on pediatric and geriatric populations. Recent publications reveal a clear trajectory toward integrating advanced statistical methods with real-world evidence generation. His team increasingly applies machine learning to pharmacovigilance data while maintaining rigorous epidemiological approaches to pandemic impact assessment. The research consistently addresses regulatory science questions with practical implications for healthcare systems. Professor Andersen actively participates in academic discourse, evidenced by his speaking engagement at the 2019 CORS Annual Conference on public health regulation. His 102 research outputs demonstrate sustained productivity in high-impact pharmacology and epidemiology journals, with significant recent contributions to understanding pandemic medication effects. His laboratory work leverages Denmark's comprehensive national health registries, collaborating with Nordic research networks to conduct multinational studies. Current projects focus on AI-enhanced drug safety monitoring systems and longitudinal analysis of medication use patterns during global health emergencies, positioning his team at the forefront of modern pharmacovigilance science.

Mie Seest Damمشاهده پروفایل

استادیار

• Medical Anthropology
• Science and Technology Studies (STS)
• Public Health
• +۴ مورد دیگر

Mie Seest Dam serves as Assistant Professor in the Department of Public Health at the University of Copenhagen, affiliated with the Section of Health Services Research and Centre for Medical Science and Technology Studies. Her interdisciplinary work bridges medical anthropology and science and technology studies (STS), examining how medical innovations reshape patienthood and citizenship within Denmark's welfare state framework through ethnographic fieldwork in laboratories and hospitals. Education PhD (awarded July 8, 2017) Cand. scient. san. publ. (awarded October 3, 2012) Research Focus Dr. Dam investigates translational research dynamics, from her PhD on neonatology researchers navigating scientific-commercial tensions to current postdoctoral work on cancer genomics in the Danish welfare state. Her scholarship critically analyzes ethical challenges in precision medicine, particularly regarding patient-derived organoids, selection practices in experimental oncology, and the social implications of genomic data governance. Publication Trends Her 2021-2025 output reveals consistent engagement with ethical dimensions of translational oncology, featuring collaborative analyses of organoid ethics (2025), moral ambiguities in life sciences (2022), and precision medicine's societal implications. The work spans academic journals, book chapters, and public-facing contributions to Politiken and Videnskab.dk, emphasizing interdisciplinary dialogue between social science and medical innovation. Academic Engagement She teaches Qualitative Methods, Health Policy Analysis, and Health Care Systems while supervising Bachelor’s, Master’s, and MPH students. As a core member of the Samper Ardens project 'Personalized Medicine In the Welfare State' (MeInWe) led by Professor Mette Nordahl Svendsen, she contributes to research examining how welfare state structures shape and are reshaped by precision medicine initiatives.

Søren Michael Sindbækمشاهده پروفایل

استاد

• Archaeology
• Urban Studies
• Viking Age History
• +۴ مورد دیگر

Søren Michael Sindbæk is a Professor and Vice-Dean at the Faculty of Arts, Aarhus University. He specializes in archaeology with a focus on network dynamics, urban development, and Viking-age maritime connectivity. His research explores how communication and exchange shaped cultural and environmental landscapes in Northern Eurasia. Notable contributions include the discovery of the Viking Age fortress Borgring and excavations in Ribe, Scandinavia's earliest city. Key research interests include urban network evolution, material culture analysis, and geoarchaeological methods. Sindbæk has led major projects like the Northern Emporium initiative and the Center for Urban Network Evolutions (UrbNet). His work bridges archaeology with digital technologies, including 3D subsurface modelling and machine learning applications in heritage analysis. Recent publications address topics such as urban decline, Mediterranean city networks, and predictive archaeological modelling. Sindbæk collaborates internationally, emphasizing interdisciplinary approaches to understanding past societies. He serves as editor of the Journal of Urban Archaeology and has pioneered methods in cultural heritage preservation and conflict archaeology.

Andrzej Wąsowskiمشاهده پروفایل

استاد

• Software Engineering
• Formal Methods
• AI and Robotics
• +۸ مورد دیگر

Andrzej Wąsowski is a Professor in the Computer Science Department at IT University of Copenhagen. His research focuses on software engineering, formal methods, AI/robotics, and safety-critical systems. He leads projects like REMARO (Marine Robotics reliability) and INSIGHT (program repair). His work emphasizes model-driven engineering, probabilistic systems, and open-source collaboration. Research Interests Formal Verification of Autonomous Systems Probabilistic Programming and Privacy Analysis Software Product Line Engineering Robotics and Cyber-Physical Systems Recent Work Recent articles explore symbolic execution for probabilistic programs, risk-aware marine robotics planning, and privacy quantification in genetic data. He has contributed over 200 ROS bug findings and developed tools like Clafer for model-based design. Teaching & Community Teaches courses in probabilistic programming, advanced software analysis, and model-driven development. Active in open-source communities, including ROS and Clafer. Supervised 20+ PhD students who now hold academic and industry positions. Labs & Projects Leads the SQUARE Group and VBDB bug database. Coordinates the REMARO EU training network. Previously worked on ROSIN (robot software quality) and EBA (Linux kernel analysis).

Morten Lykkegaard Christensenمشاهده پروفایل

دانشیار

• Membrane Technology
• Colloid Chemistry
• Wastewater Treatment
• +۵ مورد دیگر

Morten Lykkegaard Christensen is an Associate Professor at the Department of Chemistry and Life Sciences within the Faculty of Engineering and Science at Aalborg University . He leads the Center for Membrane Technology and the Section for Bioresources and Process Technology , with a research focus on water purification, nutrient recovery, and sustainable process engineering. Research Interests: Membrane filtration (MBR, MF/UF, nanofiltration, forward osmosis) Flocculation and separation of wastewater, slurry, and sediment Mathematical modeling of filtration and dewatering Reduction of nutrient emissions and phosphorus recovery Sustainable development aligned with UN SDGs Teaching: Experienced in Problem-Based Learning (PBL) for over 20 years, teaching Chemical Unit Operations, Colloid Chemistry, and Reactor Engineering. Supervises students across bachelor's, master's, and B.Eng. programs. Scientific Awards: Årets underviser (Teacher of the Year) 2020 Projects: Currently involved in initiatives like Power-to-P (nutrient recovery), CERO-MP (micropollutant reduction), and Baltic Sea nutrient solutions, funded by EUDP, Danish Environmental Protection Agency, and Interreg Baltic Sea Region.

Jakob Stoustrupمشاهده پروفایل

استاد

• Control Theory
• Smart Grid
• Energy Systems
• +۵ مورد دیگر

Jakob Stoustrup is a Professor in the Department of Electronic Systems at Aalborg University, affiliated with The Technical Faculty of IT and Design. His research focuses on control systems engineering with applications in smart grids, energy sustainability, and medical technology. He leads the Green Lab mission on sustainable Danish energy systems and has contributed to UN Sustainable Development Goals related to clean energy and climate action. Key roles: PI on major projects like ADAPT-T2D (Type 2 Diabetes Management) and BEO-COVID (pandemic modeling) Expertise: Smart grid control, fault-tolerant systems, renewable energy integration Leadership: Chair of AAU's Research Indicator Committee (2022-2023) Research interests span control theory fundamentals, climate change mitigation strategies, and interdisciplinary innovation frameworks like the BUMP portfolio system. Over 380+ publications and 47+ projects demonstrate his impact in energy systems, medical engineering, and pandemic response technologies. Active in media discussions on energy policy and smart infrastructure.

Claus Lassenمشاهده پروفایل

دانشیار

• Urban Design
• Mobility Studies
• Transportation Planning
• +۳ مورد دیگر

Claus Lassen is an Associate Professor at Aalborg University's Department of Architecture, Design and Media Technology within The Technical Faculty of IT and Design. He is affiliated with the Section for Architecture and Urban Design, Danish Centre for Spatial Planning, and Centre for Mobility and Urban Studies. His primary research focuses on urban design transformation, mobilities, aeromobilities, and port-city relationships. Lassen leads key projects like the C-MUS PRAKSIS living lab and Port-City Relationships initiative. He has been recognized with the 2018 Danish Business Travel Associations (DBTA) Recognition Price for contributions to Future Cities and Airport City research. His work examines airport-city dynamics, aviation labor perspectives, and spatial governance through over 80 publications. Recent studies include case analyses of harbor-city interdependencies in Danish coastal towns and global airport governance models. Lassen actively contributes to policy discussions through media engagements, such as his analysis of Ryanair's Billund route decisions and future airport developments. Projects: C-MUS PRAKSIS (ongoing), Port-City Relationships (2019-2024), Airport City Futures (2017-2021) Media Presence: Regular commentary on aviation and urban mobility issues in Danish media Academic Networks: Danish Aeromobilities Academy member and contributor to international mobility research His research integrates sociological, spatial, and policy perspectives to address contemporary challenges in urban mobility and infrastructure development.

Katrine Syppli Kohlمشاهده پروفایل

پژوهشگر

• Frontline Welfare Encounters
• Refugee/Forced Migration Studies
• Disability Studies
• +۳ مورد دیگر

Katrine Syppli Kohl is a Post.Doc researcher at Aalborg University's Department of Sociology and Social Work, affiliated with The Faculty of Social Sciences and Humanities and WISER (Welfare, Innovation, Social Work and Employment Relations). She holds a PhD from the University of Copenhagen (2010-2015) and has held postdoctoral positions at AMIS (2021-2024) and VIVE (2015-2021). Her research focuses on encounters between vulnerable populations and welfare actors, specializing in refugee/forced migration studies, disability studies, and temporal governance. Education: PhD in Sociology from University of Copenhagen (2010-2015); MSc in Sociology (not explicitly stated but implied). Research Interests: Kohl employs qualitative methods to analyze frontline welfare interactions, combining classical social theory (Goffman, Foucault) with migration research. Key themes include temporal management, co-creation dynamics, and policy shifts affecting refugees, disabled individuals, and marginalized groups. Her work critically examines Denmark's deterrence-based asylum policies and their societal impacts. Recent Article Trends: Recent publications address boundary work in deterrence contexts, refugee family temporal governance, and volunteer-caseworker dynamics. Key subfields include pathopolitical governance, policy emotionalization, and carceral junctions. Awards: Best Article Award 2022-2024 Grants/Projects: Co-Investigator on ERAPAN (Education of Refugees under Pandemic, 2023-2027) Advising & Mentoring: While no formal student list appears, her work involves advising on policies affecting marginalized groups. Grants include interdisciplinary collaborations. Labs/Teams: Associated with WISER and AMIS research groups focusing on welfare innovation and migration studies.

Carlos M. Lima Azevedoمشاهده پروفایل

دانشیار

• Transportation Engineering
• Smart Mobility
• Urban Planning
• +۶ مورد دیگر

Carlos M. Lima Azevedo is an Associate Professor at the Technical University of Denmark (DTU), affiliated with the Transport Division, Intelligent Transport Systems Section within the Department of Technology, Management and Economics. He also serves as a Research Affiliate at MIT's ITSLab. His research focuses on mathematical modeling of human mobility, smart mobility services, and integrated transportation technologies. He has held roles including Research Scientist at MIT's ITSLab and Executive Director of MIT's Transportation Education Committee. Education includes a PhD from MIT (2014) and an MSc from LNEC (2008). Key projects include SimMobility (a simulation platform) and Tripod (sustainable travel incentives). Teaching includes courses on transportation systems and data analysis at MIT. His research interests span traffic simulation, safety analysis, and agent-based modeling. Recent work emphasizes equity in shared mobility, AI-driven traffic control, and urban sustainability. He collaborates on projects like Mobility of the Future and FMOD (Flexible Mobility On-Demand). His contributions include frameworks for automated mobility-on-demand systems and policy-sensitive models for transportation networks.

Stefan Pollokمشاهده پروفایل

پژوهشگر

• Magnetism
• Deep Learning
• Materials Science
• +۳ مورد دیگر

Stefan Pollok is a Postdoctoral Researcher at the Department of Energy Conversion and Storage, Technical University of Denmark (DTU), specializing in the intersection of magnetism and deep learning for advanced magnetic sensor development. His research focuses on Extraordinary Magnetoresistance devices , magnetic field prediction , and deep learning applications in magnet design. Key investigations include topography effects, contact resistance impacts, and neural network optimization for magnetoresistive systems, leveraging computational physics and AI methodologies. Recent publications reveal a strong trend toward generative adversarial networks for magnetic field modeling and structural optimization of magnetometers, demonstrating interdisciplinary innovation across physics and computer science. Pollok actively supervises PhD candidate Sasi Kumar in the DTU project "Design and Modeling of Ultra-sensitive Bio-Magnetometers" (2022-2025), building on his recently completed doctoral work in deep learning for magnet optimization. Based in DTU Energy's Structural Analysis and Modelling group, he collaborates with international researchers on next-generation magnetic sensing technologies for biomedical applications.

Jichen Zhuمشاهده پروفایل

استاد

• Human-Computer Interaction
• Artificial Intelligence
• Explainable AI
• +۵ مورد دیگر

Jichen Zhu is a Full Professor in Human-Computer Interaction and Design at IT University of Copenhagen, where he leads the Procedural eXpression Lab. His research focuses on the intersection of artificial intelligence, human-computer interaction, and design, with particular emphasis on explainable AI, user-centered design, and AI in creative processes. His research interests span multiple domains within human-AI interaction: Explainable Artificial Intelligence (XAI) and transparent AI systems AI in design and creative processes Human-centered AI and user experience Game design with AI elements Player modeling and personalization in games Well-being technologies and health applications of AI Professor Zhu's recent publications demonstrate a strong focus on bridging the gap between AI capabilities and human understanding. His work combines theoretical insights with practical applications in gaming, design, and health contexts, often exploring how AI can enhance human creativity while maintaining transparency and user control. Professor Zhu has received several prestigious awards for his research: Best Paper Award at the 2021 Conference of Foundation of Digital Games (FDG'21) Best Paper Award Finalist in 2022 Honorable Mention Paper Award at the 2021 Conversational User Interface Conference (CUI'21) He serves as Principal Investigator for the ExPAI (Explainable Personalization AI for Health and Well-Being) project funded by the Novo Nordisk Foundation (2021-2027), exploring how explainable AI can personalize health interventions while maintaining transparency. Professor Zhu also contributes significantly to the academic community through editorial roles at IEEE Transactions on Computational Intelligence and AI in Games and as Conference Chair for the 2021 CHI Conference on Human Factors in Computing Systems. As Head of the Procedural eXpression Lab, Professor Zhu leads research that develops innovative approaches to human-AI collaboration in creative domains, focusing on how AI can support human creativity while preserving user agency and understanding.

• Error-correcting codes
• Quantum codes
• Discrete mathematics
• +۱۲ مورد دیگر

Olav Geil is a Professor and currently serves as Vice-dean at the Faculty of Engineering and Science, Aalborg University, Denmark. He is affiliated with the Department of Mathematical Sciences, where he conducts research in algebraic coding theory, discrete mathematics, and computational mathematics. His work bridges theoretical mathematics with applications in cryptography, data protection, and secure computation. His research interests center on error-correcting codes , quantum codes , affine variety codes , and secret sharing , with strong emphasis on algebraic structures such as polynomial codes, Weierstrass semigroups, and function fields. He applies these in privacy-preserving technologies and secure distributed systems. The recent publications reflect a sustained focus on coding theory and its applications in both classical and quantum domains, with increasing engagement in educational innovation, particularly in Project-Based Learning (PBL) in engineering education. His work spans theoretical mathematics, applied cryptography, and interdisciplinary educational development. Scientific Awards: No specific awards listed in the provided text. Geil has been involved in advising and research grants, including participation in multiple funded research projects such as SECURE , Quantum Codes , and Secret Sharing . He has contributed to educational projects like PBL and Mathematics and Microcredentials for PBL , indicating active mentorship and curriculum development. He has collaborated with PhD students and international researchers, suggesting an ongoing advisory role. He is involved in interdisciplinary teams focusing on digital transformation , secure estimation , and privacy-preserving computation , often working within Aalborg University’s PBL framework. His leadership as Vice-dean places him at the center of academic strategy and innovation in engineering and science education.

Casper Steinmannمشاهده پروفایل

دانشیار

• Computational Chemistry
• Supramolecular Chemistry
• Molecular Modeling
• +۷ مورد دیگر

Casper Steinmann is an Associate Professor in the Department of Chemistry and Bioscience at Aalborg University's Faculty of Engineering and Science. His research is centered on computational and applied supramolecular chemistry, with a focus on molecular modeling, drug design, and chemical informatics. He leads several research projects integrating machine learning and robotics in chemical synthesis. His primary research interests include computational chemistry, supramolecular interactions, cyclodextrin-based systems, docking simulations, and the development of interoperable cheminformatics tools. He is particularly active in structure-guided drug discovery and the prediction of physico-chemical properties of complex molecular systems. The recent publications highlight a strong trend in computational drug discovery, targeting viral proteins like SARS-CoV-2 helicase and neurodegenerative disease targets such as LRRK2. His work also spans materials science, particularly in nanoparticle-based antimicrobial therapies, and software development for computational chemistry, exemplified by the cclib 2.0 project. These reflect interdisciplinary research bridging chemistry, biology, and computer science. Årets Underviser på Institut for Kemi og Biovidenskab (2022) Årets Underviser på Ingeniør- og Naturvidenskabelige Fakultet (2022) Casper Steinmann has been actively involved in research supervision and external examination of PhD theses, indicating a strong commitment to academic mentoring. He has secured multiple research grants, including funding from the Villum Foundation and Danish e-infrastructure Cooperation, supporting projects in automated synthesis, machine learning in chemistry, and molecular property prediction. His activities include extensive peer review, conference participation, and industry talks. He is involved in projects such as 'Designing Molecules for Ease of Chemical Synthesis' and 'Prediction of physico-chemical properties of guest cyclodextrin inclusion complexes,' often in collaborative networks. His team engages with robotics in chemical synthesis and develops computational frameworks for polarizable embedding and molecular simulations.