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• Algorithms
• Computational Complexity
• Theoretical Computer Science
• +3 more

Anton Wøldike Friis is a Lecturer affiliated with the Department of Computer Science and the Department of Mathematical Sciences at the University of Copenhagen. He also serves on the Study Board of Psychology. His contact details include multiple email addresses: anfr@di.ku.dk, awf@math.ku.dk, and scj896@psy.ku.dk. Department of Computer Science, University of Copenhagen Department of Mathematical Sciences, University of Copenhagen Study Board of Psychology As part of the Algorithms and Complexity (AC) section at DIKU, Anton contributes to research and teaching in theoretical computer science. The AC section explores fundamental computational limits through mathematical theory, with applications in algorithm design for massive data, optimization, and machine learning foundations. The section hosts the Basic Algorithms Research Copenhagen (BARC) center and collaborates on cutting-edge theoretical work. The AC section’s research spans data structures, graph algorithms, computational complexity, and algorithmic paradigms. Anton’s role involves teaching courses in both Bachelor and Master programs, covering topics like randomized algorithms, discrete mathematics, and computational geometry. His work supports the section’s mission to bridge theoretical rigor with real-world impact, particularly in machine learning and applied domains.

• Algorithms and Complexity
• Theoretical Computer Science
• Data Structures
• +3 more

Nicolas Damgaard Frisch is an Instructor at the Department of Computer Science (DIKU), University of Copenhagen. He is affiliated with the Algorithms and Complexity (AC) section, which focuses on theoretical computer science and its practical applications in areas like machine learning and optimization. Research Interests : His work aligns with the AC section’s exploration of efficient computation, data structures, graph algorithms, and computational complexity. Labs & Centers : The AC section hosts the Basic Algorithms Research Copenhagen (BARC) center, supported by the VILLUM Foundation, and collaborates with the Danish Center for Big Data Analytics driven Innovation (DABAI). Contact : Reach Nicolas via email at nfri@di.ku.dk .

• Machine Learning
• Artificial Intelligence
• Information Retrieval
• +3 more

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.

• Computer Science
• Machine Learning
• Natural Language Processing
• +3 more

Wenhao Gao is a Lecturer at the Department of Computer Science, University of Copenhagen. He is affiliated with the research staff and contributes to the academic activities of the department. The Department of Computer Science at the University of Copenhagen includes research sections in areas such as Machine Learning , Natural Language Processing , and Algorithms . His work may align with these fields based on departmental context. Contact information includes the email wega@di.ku.dk and the physical address at Universitetsparken 1, 2100 Copenhagen Ø.

• Computer Science
• Algorithms
• Programming Languages
• +2 more

Anton Gersvang Golles serves as an Instructor in the Department of Computer Science at the University of Copenhagen, located at Universitetsparken 1, 2100 Copenhagen Ø, Denmark. His role centers on teaching within the computer science curriculum under DIKU (Datalogisk Institut). His research interests align with the department's core focus areas, including Algorithms , Programming Languages , Software Engineering , and Machine Learning . The department's research sections—spanning Human-Centred Computing, Image Analysis, Computational Modelling, Natural Language Processing, and Pioneer AI—provide the framework for his academic engagement despite no explicitly stated specialization. As an Instructor, he contributes to educational initiatives within a department emphasizing diversity, international collaboration, and interdisciplinary research. While specific advising roles or grant activities aren't documented, his position supports the university's mission in computer science education and research infrastructure.

• Computer Science
• Artificial Intelligence
• Machine Learning
• +2 more

Magnus Goltermann serves as a Lecturer at the Department of Computer Science (DIKU), Faculty of Science, University of Copenhagen. His position falls under the academic staff structure within the department's research and teaching framework. His research interests align with DIKU's core sections including Algorithms and Complexity, Machine Learning, Natural Language Processing, and Programming Languages. This positions his work within theoretical computer science and applied AI domains, contributing to both foundational and practical advancements in the field. Magnus maintains active academic engagement through DIKU's research ecosystem, collaborating within specialized sections that drive innovation in computational theory and applications. His role emphasizes knowledge transfer and scholarly contribution to the department's mission. Contact information is available through his institutional email address.

• Computer Science
• Algorithms
• Machine Learning
• +7 more

Sofie Elisabeth Stone Havn is a Lecturer at the Department of Computer Science , University of Copenhagen . Her academic role involves teaching and research contributions within computer science disciplines, aligning with the department’s focus areas such as Algorithms, Machine Learning, Natural Language Processing, Software Engineering, and Human-Centred Computing. Professional contact can be made via email: soha@di.ku.dk .

• Computer Science
• Algorithms
• Programming Languages
• +3 more

Leif Hagen Herbert Erich Helbig serves as an Instructor in the Department of Computer Science at the University of Copenhagen, Denmark, based at Universitetsparken 1, Copenhagen Ø. His institutional contact is available via email at lahe@di.ku.dk . His academic role aligns with the department's core research domains including Algorithms and Complexity, Human-Centred Computing, Machine Learning, and Software Engineering. As an Instructor, he contributes to the department's educational framework across foundational computer science disciplines.

• Theoretical Computer Science
• Algorithms
• Computational Complexity
• +5 more

Max Bjørn Hofmann is an Instructor at the Department of Computer Science (DIKU) and Department of Mathematical Sciences at the University of Copenhagen , Denmark. He contributes to teaching and research within theoretical computer science. The Algorithms and Complexity (AC) section at DIKU, where he is affiliated, focuses on foundational research into computational efficiency, including data structures, graph algorithms, computational complexity, and algorithmic paradigms. Their work bridges mathematical theory with practical applications in machine learning and big data analytics. Contact details: Email: maho@di.ku.dk Email: mbh@math.ku.dk

• Computer Science
• Algorithms
• Data Structures
• +2 more

Lei Huang serves as an Instructor in the Department of Computer Science at the University of Copenhagen (DIKU), located at Universitetsparken 1, 2100 Copenhagen Ø, Denmark. This department operates under the Faculty of Science and maintains multiple specialized research sections including Algorithms and Complexity, Machine Learning, and Natural Language Processing. While specific research interests for Lei Huang are not explicitly detailed in the provided materials, the Department of Computer Science conducts extensive research across theoretical and applied computer science domains. As an Instructor, Lei Huang's primary responsibilities involve teaching undergraduate and graduate courses within the computer science curriculum, covering foundational topics such as algorithms, data structures, and programming languages. Contact Lei Huang via email at lhuang@di.ku.dk .

• Natural Language Processing
• Artificial Intelligence
• Machine Learning

Sekh Mainul Islam is a Research Fellow in the Natural Language Processing section at the Department of Computer Science, University of Copenhagen. His research focuses on Natural Language Processing , a critical subfield of Artificial Intelligence that develops computational models enabling machines to understand, interpret, and generate human language. His work contributes to advancements in language technologies with applications spanning machine translation, sentiment analysis, conversational AI, and text summarization. The Natural Language Processing section operates within DIKU's broader research ecosystem that includes Machine Learning, Pioneer AI, and other computational research areas. Located at Universitetsparken 1 in Copenhagen Ø, the Department of Computer Science hosts multiple research sections including Algorithms and Complexity, Human-Centred Computing, Image Analysis, Computational Modelling and Geometry, and Programming Languages and Theory of Computation. The department maintains strong international collaborations and contributes significantly to Denmark's AI research landscape through centers like the Pioneer Center for Artificial Intelligence.

• Image Analysis
• Computational Modelling
• Geometry
• +5 more

Christian S Munk Jensen is an Instructor at the Department of Computer Science , University of Copenhagen. His work aligns with the Image Analysis, Computational Modelling, and Geometry section, which focuses on image analysis, computer vision, numerical optimization, and geometric statistics. Research Focus: The section contributes to theoretical analyses, algorithm development, and practical applications in science, industry, and society, including participation in the university’s SCIENCE AI Centre . Contact: Email csmj@di.ku.dk for direct communication.

• 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.

• Theoretical Computer Science
• Algorithms
• Computational Complexity
• +3 more

Carsten Henrik Jørgensen is a PartTime Lecturer at the Department of Computer Science , University of Copenhagen. He is affiliated with the Algorithms and Complexity (AC) section , which focuses on theoretical computer science, including algorithmic paradigms, computational complexity, and mathematical foundations of machine learning. His work emphasizes bridging theoretical research with real-world applications. Contact: pcjor@di.ku.dk

Panagiotis KarrasView profile

Professor

• Data Management Systems
• Graph Algorithms
• Data Mining
• +3 more

Panagiotis Karras is a Professor at the Department of Computer Science , University of Copenhagen , with a faculty affiliate status at Aarhus University . His research focuses on robust and versatile methods for data access, mining, and representation. Education: MSc in Electrical and Computer Engineering from National Technical University of Athens , PhD in Computer Science from University of Hong Kong Research Interests: Spanning data management systems, graph algorithms, and privacy-preserving data publishing, his work addresses challenges in efficient query processing, influence propagation in networks, and semantic-aware data compression. Notable contributions include adaptive indexing techniques, graph alignment frameworks, and algorithms for fair stable marriage problems. Recent Publications (2024-2025): Focus on graph alignment, subgraph matching, and influence maximization, with applications to knowledge graphs, social networks, and time-series data analytics. Scientific Recognition: 2008 Young Scientist Award from the Hong Kong Institute of Science Keynote invitations at ACM SIGKDD and IEEE ICDE Professor Karras actively seeks motivated PhD students to collaborate on these research directions. His lab maintains a powerful compute cluster and modern facilities for data-intensive research.