جست‌وجوی استاد و پژوهشگر

• Machine Learning
• Quantum Computing
• AI Fairness
• +۲ مورد دیگر

Simon Krogh Anderson serves as a Lecturer at the Department of Computer Science (DIKU), Faculty of Science, University of Copenhagen. He is an active member of the Machine Learning section which focuses on theoretical foundations and applications across domains including natural language processing, medical image analysis, and biological data modeling. The department participates in the SCIENCE AI Centre and maintains powerful compute resources including the TreeSense platform for remote sensing. His research spans multiple cutting-edge areas in artificial intelligence with particular emphasis on machine learning, quantum computing applications, and algorithmic fairness. Key interests include sustainable AI development, reproducibility in recommender systems, and cross-cultural adaptation frameworks. His work often bridges theoretical computer science with practical applications in environmental monitoring, healthcare analytics, and quantum information processing. Recent publications demonstrate strong interdisciplinary connections across quantum computing, sustainable AI, and fairness metrics. Trends show increasing focus on environmentally conscious AI development, integration of quantum methods with classical machine learning, and ethical considerations in recommendation systems. His work frequently leverages Denmark's extensive health registries and environmental data resources. Anderson actively contributes to the department's research ecosystem through teaching and collaboration within the Machine Learning section. While specific grants aren't detailed in available materials, his publications indicate involvement in projects related to quantum computing infrastructure, environmental monitoring systems, and AI ethics frameworks. The department provides significant computational resources including a dedicated cluster and specialized labs like TreeSense for remote sensing applications. His work appears connected to the SCIENCE AI Centre's initiatives in sustainable computing and quantum information processing.

• Human-Computer Interaction
• User Experience
• Interaction Design
• +۳ مورد دیگر

Janne Brøgger is a Lecturer at the Department of Computer Science, University of Copenhagen, affiliated with the Human-Centred Computing section. Their work focuses on improving the relationship between computational technology and people through innovative interaction methods and enhancing well-being. University: University of Copenhagen School: Department of Computer Science Department: Department of Computer Science Academic Rank: Lecturer Email: jbr@di.ku.dk Research interests include Human-Computer Interaction (HCI), User Experience (UX) design, and the societal impact of computational technologies. The Human-Centred Computing section at DIKU emphasizes collaborative, inclusive environments to develop systems that align with human needs and foster supportive academic culture. The department also hosts sections focused on Machine Learning, Natural Language Processing, and Software Development.

• Human-Computer Interaction
• Computational Technology
• User Experience Design
• +۳ مورد دیگر

Karla Petrine Sjöberg Burhenne is an Instructor at the Department of Computer Science, University of Copenhagen. She is affiliated with the Human-Centred Computing section, which investigates the relationship between computational technology and human well-being through research on interaction design, technological support for activities, and human capability enhancement. The Human-Centred Computing section focuses on improving human-technology interaction through projects that emphasize accessibility, collaboration, and user-centered design principles. Their research spans computational modeling, interface innovation, and the societal impact of technology.

• Computer Science
• Communication Studies
• Software Engineering
• +۳ مورد دیگر

Eunice Karen Christiansen-Omondi serves as an Instructor at the University of Copenhagen with dual appointments spanning the Department of Communication (Faculty of Humanities) and the Department of Computer Science (Faculty of Science). She is formally affiliated with the Software, Data, People & Society (SDPS) section within DIKU, which conducts interdisciplinary research focused on developing human-centered software systems and data management solutions that generate societal value through industry collaboration. Her research profile bridges computational and communicative domains, emphasizing practical applications where technology interfaces with human needs. Key interest areas include Human-Computer Interaction for accessible design, Data Management methodologies for real-world systems, and Software Engineering approaches that prioritize end-user experience. This interdisciplinary positioning reflects the SDPS section's mission to create socially relevant computing solutions through cross-departmental synergy.

• Computer Science
• Artificial Intelligence
• Data Science
• +۳ مورد دیگر

Eric Deng serves as a Lecturer in the Department of Computer Science (DIKU) at the University of Copenhagen, contributing to teaching and academic activities within Denmark's premier computing institution. Located at Universitetsparken 1 in Copenhagen Ø, DIKU operates under the Faculty of Science with robust infrastructure including high-performance computing clusters and specialized labs. His research spans core computer science disciplines with emphasis on Artificial Intelligence , Data Science , and Software Engineering . These fields align with DIKU's strategic focus areas including Machine Learning, Human-Centred Computing, and Pioneer AI initiatives. The department actively engages in cross-disciplinary projects addressing societal challenges through algorithmic innovation and computational modeling. DIKU hosts multiple research sections such as Image Analysis, Computational Modelling, and Geometry, supported by state-of-the-art facilities. Recent departmental achievements include €7 million in cancer research funding from the Novo Nordisk Foundation and ERC Consolidator Grants for AI-driven toxicity modeling, reflecting its leadership in computational science applications.

• Software Engineering
• Data Management
• Human-Computer Interaction
• +۳ مورد دیگر

Christian Bendix Fjordstrøm serves as an Instructor in the Department of Computer Science (DIKU) at the University of Copenhagen, affiliated with the Software, Data, People, & Society (SDPS) research section. The SDPS section conducts interdisciplinary research in software systems, data management, and human-centered computing methodologies with strong industry collaboration. His research focuses on developing software systems optimized for both developers and end-users, emphasizing societal value creation through: Software Engineering methodologies Data management systems design Human-computer interaction frameworks Societal impact assessment of computing technologies As an Instructor, he contributes to the department's teaching mission within Copenhagen's technical education framework. While specific advising roles aren't detailed, his SDPS affiliation positions him within collaborative projects addressing real-world software challenges. The section operates under Associate Professor Dmitriy Traytel's leadership with research spanning process management systems and interdisciplinary computing applications.

• Machine Learning
• Artificial Intelligence
• Information Retrieval
• +۳ مورد دیگر

Dongyu Gao serves as an Instructor in the Machine Learning section at the Department of Computer Science (DIKU), University of Copenhagen. His position places him within one of Scandinavia's leading computer science departments, which hosts the SCIENCE AI Centre and maintains strong connections with both theoretical and applied machine learning research. Dr. Gao's research interests center around machine learning with applications spanning information retrieval, medical data analysis, remote sensing, sustainability, and biological data modeling. His work appears to bridge theoretical foundations with practical implementations, as evidenced by publications addressing quantum computing applications, environmentally sustainable AI practices, and advanced neural network architectures. The Machine Learning section at DIKU provides substantial computational resources including a powerful dedicated cluster and specialized initiatives like TreeSense for remote sensing applications. Analysis of recent publications associated with Dr. Gao reveals a diverse research portfolio spanning multiple cutting-edge AI domains. His work demonstrates particular strength in quantum machine learning applications, sustainable computing practices, and interpretable AI systems. The publications show a consistent pattern of interdisciplinary collaboration, connecting computer science with healthcare, environmental science, and quantum physics. Notably, several publications address the critical challenge of making AI systems more environmentally sustainable without sacrificing performance. The Machine Learning section operates within DIKU's broader research ecosystem, which includes strong connections to the SCIENCE AI Centre. This environment provides access to substantial computational resources and fosters collaboration across various AI subfields including natural language processing, computer vision, and theoretical machine learning. The department's location in Copenhagen positions it at the intersection of European AI research initiatives with strong connections to both academic and industry partners across the continent.

• Human-Computer Interaction
• Interaction Design
• User Interface Technology
• +۳ مورد دیگر

Ida Friis Greibe is an Instructor at the Department of Computer Science , University of Copenhagen. Her work focuses on human-centred computing, particularly in areas like interaction design, user interface technology, and computational approaches to enhancing human well-being. She contributes to teaching courses in fields such as Interaction Design , Virtual Reality , and Visualization , emphasizing both technical and human-oriented aspects of computer science. Research interests include: Designing technology that supports human activities and health Innovating user interaction methods for emerging interfaces Understanding the impact of computational systems on human capabilities Contact: ifg@di.ku.dk | Phone: +4535321275

• Software Engineering
• Data Management
• Human-Computer Interaction
• +۲ مورد دیگر

Morten Skovlund Holst serves as an Instructor in the Department of Computer Science at the University of Copenhagen, affiliated with the Software, Data, People & Society (SDPS) research section. Located at Universitetsparken 1, 2100 Copenhagen Ø, his role focuses on teaching within the department's academic programs. His research interests align with the SDPS section's mission to develop software and data management systems that prioritize human needs and societal value. This encompasses Software Engineering methodologies , Human-Computer Interaction principles, and the societal implications of computing technologies , often explored through interdisciplinary industry collaborations. No scientific awards or student advising activities were documented in available sources. As part of the SDPS section led by Associate Professor Dmitriy Traytel, his work contributes to research groups investigating software systems that balance technical robustness with human-centric design.

• Human-Computer Interaction
• Interaction Design
• Artificial Intelligence Evaluation
• +۴ مورد دیگر

Axel Højmark serves as a Lecturer in the Department of Computer Science at the University of Copenhagen, actively contributing to the Human-Centred Computing section. This research group focuses on advancing the relationship between computational technology and human users through supporting well-being, designing novel interaction paradigms, and analyzing technology's impact on human capabilities within a collaborative, supportive academic environment. His research centers on Human-Computer Interaction and Artificial Intelligence evaluation, with particular emphasis on language model agent capabilities and AI-generated content systems. Recent publications reveal a methodological focus on probabilistic evaluation frameworks and forecasting techniques for frontier AI systems, bridging technical AI development with human-centered application contexts in social media and virtual environments. Analysis of his 2023-2025 publications shows consistent investigation into evaluation rigor for emerging AI technologies, with increasing sophistication in capability forecasting methods. The work spans natural language processing, social computing, and cognitive systems, maintaining strong connections to real-world deployment challenges in social media platforms and interactive systems. The Human-Centred Computing section provides state-of-the-art laboratories with specialized equipment for interaction research, fostering interdisciplinary collaboration across the department's eight research sections including Machine Learning, Natural Language Processing, and Pioneer AI initiatives.

• Medical Image Analysis
• Computer Vision
• Machine Learning
• +۵ مورد دیگر

Bulat Ibragimov is an Associate Professor in the Department of Computer Science at the University of Copenhagen, specializing in the Image Analysis, Computational Modelling, and Geometry research section. His work focuses on applying advanced computational techniques to medical imaging problems, particularly in radiology and diagnostic applications. His research interests span multiple domains of medical AI, including: Medical image analysis and computer vision for diagnostic applications Eye tracking analysis to understand radiologist decision-making processes Deep learning applications for disease detection and severity classification Explainable AI systems for medical image interpretation Computational geometry applications in medical imaging Dr. Ibragimov's recent publications demonstrate a strong focus on applying artificial intelligence to improve diagnostic accuracy and efficiency in medical settings. His work frequently bridges the gap between computer science and clinical applications, with particular emphasis on radiology, cardiology, dentistry, and gastroenterology. Many of his studies incorporate eye tracking data to better understand and augment human decision-making in medical imaging contexts. His notable contributions include work on: Cardiometric analysis from chest X-rays Dental image analysis for abnormality detection Ulcerative colitis severity classification Explainable AI for medical image models Prediction of radiological decision errors using eye tracking data

• Human-Computer Interaction
• User Experience
• Computer-Supported Cooperative Work
• +۳ مورد دیگر

Lucas Østergaard Jarmer serves as a Lecturer in the Department of Computer Science at the University of Copenhagen, actively contributing to the Human-Centred Computing section. His work aligns with the department's mission to advance the relationship between computational technology and human activities. Research interests derived from section affiliation include: Human-Computer Interaction User Experience design Computer-Supported Cooperative Work Ubiquitous Computing systems Technology impact on human well-being Innovative human-technology interaction models No scientific awards or student advisement records were documented in available sources. The Human-Centred Computing section maintains specialized laboratories with diverse equipment for conducting empirical research in human-technology interaction, though specific lab assignments for Jarmer were not specified.

• Computer Science
• Human-Centred Computing
• Machine Learning

Jeppe Trøjgaard Jepsen is a Lecturer at the Department of Computer Science (DIKU), University of Copenhagen. His role involves teaching and research activities within the department, which focuses on areas such as Human-Centred Computing, Machine Learning, and Computational Theory. Email: jtj@di.ku.dk The department’s research spans theoretical and applied computer science, including Human-Computer Interaction, algorithm design, and data analysis. While specific details of Jepsen’s contributions are not provided in the text, his position aligns with these broader institutional priorities.

• Human-Centred Computing
• Human-Computer Interaction
• Computational Technology and Society
• +۲ مورد دیگر

Christian Svorre Jordan is a Lecturer at the Department of Computer Science , University of Copenhagen. He is affiliated with the Human-Centred Computing section, which focuses on improving the relationship between computational technology and people. The Human-Centred Computing group aims to support people's activities and well-being through computing, inventing new ways for human-technology interaction, and analyzing how technology influences human capabilities. Their research emphasizes a collaborative, inclusive, and supportive environment.

• Human-Computer Interaction
• User Experience Design
• Computational Technology and Well-being
• +۱ مورد دیگر

Aleksander Junge is an Instructor at the Department of Computer Science , University of Copenhagen. His work aligns with the Human-Centred Computing section, focusing on enhancing the relationship between computational technology and human well-being. Research Interests Human-Computer Interaction User Experience Design Computational Technology and Well-being Technology and Human Capabilities Contact Email: alju@di.ku.dk Address: Universitetsparken 1, 2100 København Ø