جست‌وجوی استاد و پژوهشگر

• Operator Algebra
• C*-algebras
• K-theory
• +۳ مورد دیگر

Søren Eilers is a Professor at the Department of Mathematical Sciences , University of Copenhagen. His research focuses on Operator Algebras , particularly the classification of C*-algebras related to discrete and low-dimensional structures. He is a member of the FNU network 'Automorphisms and Invariants for Operator Algebras' and advocates for experimental mathematics using computational methods in pure mathematics. Education: MS in Mathematics and Computer Science, University of Copenhagen (1993) PhD in Mathematics, University of Copenhagen (1995) Research Interests: Operator Algebras K-theory Symbolic Dynamics Discrete Mathematics Experimental Mathematics Recent Publications (2016-2024) demonstrate expertise in graph C*-algebras , symbolic dynamics , and computational approaches to pure mathematics, with key collaborations in Denmark, Japan, Canada, and the U.S. Scientific Leadership: President, Danish Mathematical Society (2006-2008) Principal Investigator, Villum Fonden (2012-2016) Main Organizer, Mittag-Leffler Institute Program (2016) Advisory Roles: Supervised 28 master's theses and mentored 9 PhD students/postdocs (2003-2022) across institutions in Denmark, Canada, Japan, and the U.S.

Stefan Iversenمشاهده پروفایل

دانشیار

• Narrative Theory
• Rhetoric
• Digital Media
• +۱۷ مورد دیگر

Stefan Iversen is Associate Professor at the School of Communication and Culture, Aarhus University, where he also serves as Director of the PhD programme for Art, Literature and Cultural Studies. His academic work bridges literary studies, rhetoric, and digital media, focusing on the evolving role of narratives in contemporary society. His research centers on narrative theory, rhetorical analysis, and the cultural implications of digital media. Key areas include fictionality , metanoic reflexivity , visual and multimodal rhetoric , political discourse , and cultural memory . He investigates how narratives shape identity, public debate, and democratic processes, especially in digital environments involving memes, AI-generated content, and campaign rhetoric. The trends across his recent publications reveal a sustained engagement with narrative disruption in politics, quantified storytelling on social media, and the theoretical foundations of fictionality. His work integrates literary theory with communication studies and digital humanities, reflecting an interdisciplinary approach to modern narrative forms. Aarhus University PhD Prize for 2008 He has supervised over 80 master’s theses and currently advises three PhD students in rhetorical studies. He teaches in the Rhetoric, Scandinavian Studies, and Humanistic Conflict Studies programs, and leads the international Summer Course in Narrative Studies. He is also a member of the national examination corps for Danish and Rhetoric. Stefan Iversen is actively involved in major research projects including the Center for Fictionality Studies , Humanistiske Konfliktstudier , and Globalisering og Kulturel Identitet , which reflect his commitment to interdisciplinary humanistic inquiry into contemporary societal challenges.

Michael Wesselyمشاهده پروفایل

استادیار

• Human-Computer Interaction (HCI)
• Biosensors
• Multi-material 3D Printing
• +۴ مورد دیگر

Michael Wessely is a Tenure Track Assistant Professor at the Department of Computer Science, Aarhus University (AU), Denmark. His research focuses on innovative human-computer interaction technologies, particularly in oral user interfaces and multi-material fabrication. Research Highlights: Development of intraoral pH sensors (BIOral), customizable oral interfaces (MouthIO), and programmable light sources (PortaChrome). Key Collaborations: Works with interdisciplinary teams including biomedical engineers (Y. Song, H. Xu) and HCI experts (S. Mueller, E. Hoggan). Recent Impact: 2024 publications demonstrate expertise in 3D printing and integrated sensing systems. In 2023, he received recognition for ChromaNails - a reprogrammable nail polish interface technology.

Emilia Mendesمشاهده پروفایل

استاد

• Software Engineering
• Empirical Software Engineering
• Human-Centric Software Engineering
• +۱۲ مورد دیگر

Emilia Mendes is a Full Professor in the Department of Electrical and Computer Engineering at Aarhus University . Her research focuses on Empirical Software Engineering , particularly human-centric approaches, evidence-based decision-making, and the application of machine learning and statistical techniques in software development. Current research themes: Human-Centric Software Engineering, Evidence-Based Research, Statistical/Machine-Learning Techniques, and Value-Based Software Engineering. Developed tools for team climate forecasting, capability measurement, and value-based decision-making. Research Trends: Her work bridges software engineering with psychology (personality traits, team dynamics), machine learning (effort estimation, dementia prognosis), and value-based frameworks for decision-making. She emphasizes industrial applications, including agile methodologies, cross-company predictions, and Bayesian network modeling. Scientific Impact & Awards: 10,018 citations, h-index 58. Ranked #32 in Empirical Software Engineering Scholars (Google Scholar). Ranked #20 in Top Computer Science Scientists in Sweden (2023). Top 2% scientist in the world (2019, 2020, 2022; only female in Sweden for SE in 2022. Nine best paper awards at international conferences. Editorial board member: Information and Software Technology , ACM Computing Surveys , former roles at IEEE Transactions on Software Engineering and others. Grants & Leadership: Awarded €11.921.603 in research grants. Held leadership roles as General Chair (EASE 2017), PC Co-Chair (EASE 2012, ESEM 2012), and active participant in 200+ academic events.

Martin Aumüllerمشاهده پروفایل

مدرس

• Algorithms
• Algorithm engineering
• Algorithmic privacy
• +۶ مورد دیگر

Martin Aumüller is a Lecturer in Theoretical Computer Science Algorithms at the IT University of Copenhagen . He serves as Head of Education and Master of Software Design , focusing on algorithm engineering, differential privacy, and similarity search. Research interests include: Algorithm engineering for high-dimensional data Locality-sensitive hashing and nearest neighbor search Privacy-preserving machine learning Fairness in approximate search algorithms Benchmarking and evaluation of similarity search tools Publications trends highlight his work on approximate nearest neighbor search , privacy-preserving techniques , clustering algorithms , and scalable outlier detection in high-dimensional spaces. His recent projects (2024-2025) focus on fairness, differential privacy, and efficient indexing. Grants and projects : DIREC (2020-2025): Digital Research Centre Denmark (Innovation Fund Denmark) DIREC: Bias and Benefit of Approximate Nearest Neighbor Search (2022-2025): Principal Investigator (Innovation Fund Denmark) BARC (2017-2024): Basic Algorithms Research Copenhagen (Villum Fonden) SSS (2014-2019): Scalable Similarity Search (European Commission)

• Information and Knowledge Management
• Product Configuration Systems
• Supply Chain Management
• +۵ مورد دیگر

Anders Haug serves as Associate Professor at the Department of Business and Sustainability (DBS) within the University of Southern Denmark's Kolding campus. Having joined the university in 2008 as Assistant Professor in the Department of Entrepreneurship and Relationship Management before transitioning to his current role in 2010, his academic career spans over 15 years of research and teaching in operations, supply chain, and digital transformation contexts. His work bridges theoretical rigor with practical industry applications, particularly in engineer-to-order manufacturing and logistics sectors. Education: PhD in communication, representation and automation of design knowledge (2005-2007) Haug's research centers on information and knowledge management systems, with deep expertise in data quality frameworks, knowledge-based configuration, and digitalization of business processes. His fingerprint reveals distinctive contributions to product configuration systems, digital twin applications, and supply chain resilience—particularly examining how configurators transform warehouse services, manufacturing processes, and product-service ecosystems. Recent work increasingly addresses sustainability through green dynamic capabilities frameworks and life cycle assessment tools, maintaining strong empirical grounding via case studies in Danish manufacturing. Analysis of his 2024-2025 publications shows converging trends: digital technologies (configurators, digital twins) are examined through operational performance lenses while addressing sustainability imperatives. These works span operations management, information systems, and strategic management disciplines but consistently prioritize practical implementation frameworks for manufacturing SMEs. The research demonstrates methodological diversity—from conceptual modeling to empirical case studies—with strong industry relevance in logistics, engineering-to-order contexts, and manufacturing digitization. Scientific Awards: Top read paper in Business 2017/18 (Wiley) (2019) Haug has supervised 34 teaching courses between 2018-2024 covering business information systems, digitalization projects, and supply chain management. His academic service includes extensive peer reviewing for conferences like NOFOMA and DRS, plus organizational roles in Nordic business research networks. While specific grant details aren't provided, his 175+ research outputs and industry collaborations (evidenced by consultant work since 2006) indicate substantial research funding engagement. Media contributions on 3D printing and business process efficiency demonstrate effective knowledge transfer to practitioners. Though no dedicated research lab is specified, Haug's extensive co-authorship network—including collaborations on projects like digital twin implementation and configurator development—reveals embeddedness in multiple research collectives. His industry-facing approach manifests through case studies with logistics providers, manufacturer partnerships, and practical frameworks for warehouse service design and supply chain resilience.

Arijit Khanمشاهده پروفایل

دانشیار

• Graph Neural Networks
• Blockchain
• Data Management
• +۵ مورد دیگر

Arijit Khan is an Associate Professor in the Department of Computer Science at Aalborg University, Denmark. He leads the Data Engineering, Science and Systems group and is affiliated with the Technical Faculty of IT and Design. His research focuses on Graph Neural Networks , Blockchain , Data Management , and AI interpretability . He is the Principal Investigator (PI) of a major project on Data Management, Fundamental Algorithms, and Machine Learning for Emerging Problems in Large Networks (2022–2027). Research Interests : Graph Data Management & Machine Learning Blockchain Transaction Analysis Large Language Model + Knowledge Graph Synergies Healthcare AI (e.g., ICU glucose prediction) Explainable AI for Graph Neural Networks Research Trends : His publications emphasize neuro-symbolic systems , uncertain graph analysis , and AI-driven blockchain insights . Recent work bridges large language models with knowledge graphs and explores GPU performance optimization via shader code analysis. Awards & Grants : No explicit awards listed, but his active research grants include a 5-year project on large network analysis with interdisciplinary applications in life and health sciences. Funding emphasizes algorithmic innovation and data science integration. Labs/Teams : Head of the Data Engineering, Science and Systems research group, focusing on AI for societal impact ('AI for the People') and scalable graph data systems. Collaborations span blockchain analytics, healthcare informatics, and GPU architecture design.

• Perception Engineering
• Extended Reality
• Virtual Reality
• +۷ مورد دیگر

Mark Bo Jensen is an Assistant Professor (Tenure track) at the Department of Engineering Technology and Didactics, Energy Technology and Computer Science at the Technical University of Denmark (DTU). His work bridges engineering and cognitive sciences through the emerging field of Perception Engineering. His research focuses on Extended Reality (XR) and Virtual Reality (VR) technologies to model and understand human perception and cognition. With over 10 years of expertise in real-time computer graphics, he develops immersive systems for applications in data visualization, medical testing, and geometric morphometrics. His recent publications highlight a strong trend in leveraging VR for precise human interaction tasks, such as anatomical landmark annotation and visual field testing, as well as advancing rendering techniques using diffusion models and mesh optimization. This reflects a multidisciplinary approach combining computer science, perception, and real-world applications. He has contributed to multiple research projects, including AL-EYE: The Visual Aid and Virtual Reality-Based Visualization of Geometric Data, where he served both as a PhD student and a project participant. These projects emphasize VR-based tools for data understanding and visualization. Assistant Professor (Tenure track), DTU PhD in Virtual Reality-Based Visualization of Geometric Data, completed June 2023 Project participant in AL-EYE: The Visual Aid (2025) While no formal advisees are listed, his role as a faculty member suggests future student supervision. He has collaborated extensively with researchers such as Jeppe R. Frisvad, Jakob Andreas Bærentzen, and Vedrana A. Dahl.

Andreas Kugiمشاهده پروفایل

استاد

• Control Theory
• Automatic Control
• Complex Dynamical Systems
• +۶ مورد دیگر

Andreas Kugi is the Scientific Director at the AIT Austrian Institute of Technology and a full professor of Complex Dynamical Systems at TU Wien (Vienna University of Technology) in the Faculty of Electrical Engineering and Information Technology, Institute of Automation and Control. He has held significant academic and leadership roles across Europe, including professorships at Saarland University and offers from TU Dresden and KIT. His research focuses on the modeling, control, and optimization of complex dynamical systems , with strong applications in mechatronics, robotics, and industrial automation . He has led major research centers such as the Christian Doppler Laboratory for Model-Based Process Control in the Steel Industry and the Center for Vision, Automation & Control at AIT. His work bridges theoretical control design and real-world industrial implementation. The recent publications reflect a consistent focus on nonlinear, hybrid, and distributed parameter systems , with applications in robotics, manufacturing, energy, and process industries. His research integrates advanced control theory with practical engineering challenges, emphasizing real-time optimization, robustness, and system efficiency. Scientific Awards: Mechatronic Systems Outstanding Investigator Award (IFAC, 2022) Goldene Stefan-Ehrenmedaille (OVE, 2023) 16 best paper awards Andreas Kugi has supervised over 50 completed PhD dissertations and has been deeply involved in research leadership, including serving as Editor-in-Chief of Control Engineering Practice (2010–2017) and Vice President of the OVE Austrian Electrotechnical Association (2017–2023). He has secured and led numerous research grants, particularly through industrial collaborations in automation and process control. He leads and contributes to major research initiatives, including the Center for Vision, Automation & Control at AIT and the Christian Doppler Laboratory , fostering interdisciplinary teams focused on industrial digitalization and smart systems.

Didier Sornetteمشاهده پروفایل

استاد

• Complex Systems
• Risk Analysis
• Financial Crises and Bubbles
• +۱۱ مورد دیگر

Didier Sornette is Professor of Entrepreneurial Risks at the Department of Management, Technology and Economics (D-MTEC), Swiss Federal Institute of Technology Zurich (ETH Zurich). He is also Professor of Finance at the Swiss Finance Institute, Associate Member of the Department of Physics and Department of Earth Sciences at ETH Zurich, Principal Investigator at the Future Resilient Systems Center at the National University of Singapore, and Specially Appointed Professor at the Institute of Innovative Research, Tokyo Institute of Technology. His research centers on the theory and application of complex systems, particularly focusing on the prediction and control of extreme events—termed 'dragon-kings'—in financial markets, geophysical systems, and socio-economic networks. He employs nonlinear dynamical models, statistical analysis, and feedback mechanisms to detect early warning signals of crises. The available publication highlights his work at the intersection of complexity science and democratic governance, suggesting a growing interest in applying systemic risk methodologies to societal structures. This reflects a broad trend in his research: leveraging quantitative models for real-world systemic instabilities across disciplines. Director, Financial Crisis Observatory (FCO) Co-founder, ETH Risk Center Principal Investigator, Future Resilient Systems, National University of Singapore Specially Appointed Professor, Tokyo Institute of Technology He leads interdisciplinary teams working on InnovWiki, a collaborative platform integrating idea development with prediction markets and data visualization. His lab initiatives emphasize open collaboration, crowd-based evaluation, and real-time risk monitoring. While specific awards and students are not listed in the provided text, his leadership in major research centers and global observatories underscores significant recognition and mentorship activity.

Mogens Bjerreمشاهده پروفایل

دانشیار

• Sustainable Development Goals
• Marketing
• Retail Management
• +۳ مورد دیگر

Mogens Bjerre is an Associate Professor at Copenhagen Business School , affiliated with the Department of Marketing . His research focuses on areas contributing to the UN Sustainable Development Goals (SDGs) , particularly in marketing and retail contexts. Expertise: Sustainable development, brand competition, customer satisfaction, retail strategy His recent publications highlight trends in private label branding, retail channel dynamics, and strategic sales optimization. He has contributed to both academic journals and accessible media formats, emphasizing practical applications for retail stakeholders. Details of his supervised work, extensive media contributions (779), and academic network are documented in the full description below.

Petar Popovskiمشاهده پروفایل

استاد

• Wireless Communication
• Internet of Things
• Ultra-Reliable Low Latency Communication
• +۱۲ مورد دیگر

Petar Popovski is a Professor at the Department of Electronic Systems within the Technical Faculty of IT and Design at Aalborg University, Denmark. His research focuses on next-generation wireless communication systems, with a strong emphasis on ultra-reliable low-latency communication (URLLC), Internet of Things (IoT), multiple access, and 6G technologies. He leads several high-impact research projects, including the Classique - Center for Classical Communication in the Quantum Era funded by the Danish National Research Foundation and WATER (Wireless Architectures for intelligent and Trusted connectivity in the posT-5G ERa) supported by Villum Fonden. His research interests span key areas in modern communication theory and systems, including random access , non-terrestrial networks , satellite communication , and machine learning for reliable communication . He is actively involved in advancing the integration of sensing and communication, digital twin technologies, and quantum-era classical communication frameworks. The recent publications highlight a strong trend toward deterministic and reliable access in wireless networks, integration of sensing and communication for industrial automation, and novel physical-layer techniques using reconfigurable intelligent surfaces. These works are published in top IEEE journals such as IEEE Transactions on Communications , IEEE Transactions on Haptics , and IEEE Transactions on Vehicular Technology . Award highlights include the Best Student Paper Award (2021) , recognizing his mentorship and collaborative research excellence. Prof. Popovski serves as a principal investigator (PI) and supervisor in multiple research projects, securing significant funding from national and international bodies such as the Danish National Research Foundation and the European Space Agency (ESA). He hosts visiting researchers regularly and contributes to scientific leadership through editorial roles and conference participation. He is a key figure in the Connectivity section at Aalborg University and leads cutting-edge research in future wireless systems, contributing to both theoretical foundations and practical implementations in smart infrastructure, space communication, and dependable 6G networks.

Jeppe Revall Frisvadمشاهده پروفایل

دانشیار

• Computer Graphics
• Digital Image Synthesis
• Realistic Rendering
• +۷ مورد دیگر

Jeppe Revall Frisvad is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), within the Visual Computing group. His work bridges computer graphics, material science, and applied optics, focusing on realistic rendering and material appearance modeling. Ph.D. in Computer Graphics, DTU Informatics (2008) M.Sc. in Engineering (Applied Mathematics), DTU (2004) Education in University Teaching, LearningLab DTU (2008–2009) His research centers on computing material appearance from physical and chemical properties, developing faster and more accurate physically based rendering methods. Key areas include light scattering, bidirectional reflectance distribution functions (BRDF), anisotropy, and translucency modeling. Applications span computer games, movies, digital prototyping, architectural visualization, and training simulators. His recent publications (2024–2025) reflect a strong trend in digitizing material appearance, especially for 3D printing and food science, using spectrophotometry and optical validation. The work combines computer graphics with interdisciplinary applications in food structure and biological imaging, emphasizing measurement, modeling, and simulation. Scientific Awards: Research travel prize from AEG Elektronfonden (2006) IGDA scholarship for GDCE 2005 DTU Ph.D. scholarship (2004) He actively supervises Ph.D. students and leads multiple research projects, including those on organ-on-chip imaging, cheese quality analysis, and optical modeling of teeth. He collaborates across disciplines and institutions, with external research stays at UC San Diego and the University of Otago. He is involved in projects integrating AI with 3D imaging and material digitization. Jeppe is a key member of the Visual Computing research environment at DTU, contributing to both fundamental rendering algorithms and practical applications in industry and science.

Charlotte Albrechtsenمشاهده پروفایل

مدرس

• Digital Media
• Participatory Research Methods
• Qualitative Data Analysis
• +۱۰ مورد دیگر

Charlotte Albrechtsen is an External Lecturer in the Department of Business & Management at the University of Southern Denmark, Faculty of Social Sciences. She is actively engaged in teaching, research, and editorial activities, contributing to interdisciplinary studies at the intersection of digital media, communication, and participatory research methods. Institution: University of Southern Denmark Department: Department of Business & Management (DBM) Academic Role: Lecturer Email: charal@sam.sdu.dk Her research interests center on innovative qualitative methodologies, including mobile ethnography, collaborative data analysis through gamified techniques, and the integration of generative AI in creative research practices. She explores how digital tools can enhance participatory research and democratize knowledge production. Recent publications reveal a strong trend toward blending humanities perspectives with digital technologies—such as drawing analogies between medieval monastic practices and modern prompt engineering, or using board games to involve stakeholders in data interpretation. This reflects a unique interdisciplinary approach that bridges communication theory, design, and AI literacy. Scientific recognition includes: Forbundet Kommunikation & Sprogs ph.d.-pris (2006) Forfatterlegat (2007) She has taught courses in strategic communication, research methodology, and market analysis, and has served as a peer reviewer for journals like CoDesign . Her current project, Balancing AI in EDU , investigates ethical and pedagogical implications of AI in higher education. While no formal advisees are listed, her supervisory role in teaching suggests mentorship experience. She does not appear to lead a formal lab but contributes to collaborative, participatory research networks.

Kjell Tryggestadمشاهده پروفایل

دانشیار مهمان

• Management Accounting
• Project Management
• Organizational Processes
• +۵ مورد دیگر

Kjell Tryggestad is a Visiting Associate Professor at the Department of Accounting , Copenhagen Business School . His research focuses on organizational processes , materialization of ideas , and project management across diverse industries like automotive, construction, and medical devices. He emphasizes the active role of objects and technology in shaping strategy and outcomes. Research Areas : Management Accounting, Economic Performativity, Circular Economy, Public Sector Reforms Teaching : Courses on Project Management , Public Sector Accounting , and Organizing Technologies Tryggestad’s work explores how accounting practices and economic theories influence organizational spaces and public sector reforms. His recent publications highlight trials of strength between competing designs and the performative role of accounting in institutional change. He collaborates extensively with scholars like Peter Skærbæk and Mark Christensen.