جست‌وجوی استاد و پژوهشگر

• Computer Science
• Algorithms
• Programming Languages
• +۳ مورد دیگر

Marcus Marx Thomsen serves as a Lecturer within the Department of Computer Science at the University of Copenhagen, based at Universitetsparken 1, 2100 København Ø, Denmark. His academic role focuses on teaching and research within the university's primary computer science division. His scholarly work spans foundational and applied aspects of computing, with emphasis on: Theoretical and practical Algorithms development Programming Languages design and implementation Modern Software Engineering practices Artificial Intelligence systems and methodologies Data Science analytics frameworks Computer Science education innovation Dr. Thomsen maintains active engagement in departmental academic initiatives while cultivating expertise across these interconnected domains. Professional correspondence may be directed to math@di.ku.dk .

• Logic Programming
• Partial Deduction
• Program Transformation
• +۳ مورد دیگر

Morten Sørensen serves as a Clinical Instructor in the Department of Odontology at the Faculty of Health and Medical Sciences, University of Copenhagen. Based at Nørre Allé 20, 2200 Copenhagen N, he is contactable via phone (+4535325178) or email ( morten.sorensen@sund.ku.dk ). His research centers on logic programming with specialized expertise in partial deduction and program transformation. He develops foundational theories and algorithms for conjunctive partial deduction, advancing applications in automated reasoning and declarative programming systems. This work bridges theoretical computer science with practical implementation challenges. His seminal 1999 publication in the Journal of Logic Programming demonstrates significant scholarly impact, accumulating 82 Scopus citations. The research establishes critical frameworks for program specialization within artificial intelligence, reflecting sustained relevance in programming language theory despite its age.

• Computer Science
• Algorithms
• Programming Languages
• +۳ مورد دیگر

Mikkel Willén serves as a Lecturer in the Department of Computer Science at the University of Copenhagen, based at Universitetsparken 1, 2100 København Ø, Denmark. His primary academic affiliation is with DIKU (Datalogisk Institut), the university's Department of Computer Science, where he contributes to teaching and research activities within the institution's Faculty of Science framework. His research spans foundational and applied domains of Computer Science, with emphasis on computational theory and practical implementation. Key areas include: Algorithm design and analysis Programming language theory and development Machine learning and neural network architectures Large-scale data processing systems Software development methodologies Computational complexity Professional engagement is maintained through the departmental website https://diku.dk/ and direct academic correspondence.

• Computer Science
• Software Engineering
• Algorithms
• +۳ مورد دیگر

Oskar Lang Moesmand serves as a Lecturer in the Department of Computer Science at the University of Copenhagen, based at Universitetsparken 1, 2100 Copenhagen Ø, Denmark. His research spans core computer science domains with emphasis on practical and theoretical foundations: Software Engineering methodologies and development lifecycle Algorithm design and computational complexity Data Structures optimization for real-world applications Programming Languages theory and implementation Human-Computer Interaction principles His work integrates academic instruction with applied technical research within the department's framework.

Jan Støvringمشاهده پروفایل

پژوهشگر

• Landscape Architecture
• Urban Development
• Sustainable Stormwater Management
• +۵ مورد دیگر

Jan Støvring is a Senior Research Consultant at the Department of Geosciences and Natural Resource Management, University of Copenhagen, serving as Head of Studies for the Bachelor of Science program in Landscape Architecture since 2022. With a professional landscape architecture degree (MDL) and PhD completed between 2012-2017, he transitioned to academia in 2008 after six years of professional practice. His educational background includes a professional landscape architecture qualification (MDL) and doctoral studies culminating in a PhD awarded between 2012 and 2017. Støvring's research confronts urban development challenges through innovative design solutions targeting congestion and climate change impacts. He specializes in sustainable stormwater management with deep expertise in permeable pavements, circular economy implementation, and sustainable landscape creation. His work bridges theoretical research and practical application in urban resilience. Recent publications reveal strong interdisciplinary trends, integrating artificial intelligence into planting design, advancing circular material systems in urban paving, developing sophisticated stormwater modeling techniques, and pioneering film-based methodologies for landscape analysis and community engagement in projects like the Gels Å and Ribe Å river systems. No scientific awards were documented in the source materials. Støvring actively teaches undergraduate landscape architecture courses and supervises both bachelor's and master's students while coordinating internship programs for practical experience. His collaborative work includes the Ribe Å system pilot project (2021-2022) and participation in multiple landscape restoration initiatives across Danish river systems.

• Reconfigurable Computing
• High-Performance Computing
• Field-Programmable Gate Arrays (FPGAs)
• +۳ مورد دیگر

Carl-Johannes Johnsen is a Ph.D. student and Guest Researcher in the Department of Computer Science at the University of Copenhagen, specializing in reconfigurable computing and machine learning acceleration for X-ray food inspection systems. His research integrates FPGA-based hardware acceleration with compiler design for high-performance computing, focusing on programming models for Field-Programmable Gate Arrays and optimization of machine learning pipelines. Additional interests include concurrent and distributed programming education methodologies that prioritize conceptual understanding over formal proofs. Publication analysis (2019-2022) reveals consistent contributions to FPGA acceleration of scientific workloads (molecular dynamics), novel compiler vectorization techniques, and minimalist hardware implementations. His work bridges computer architecture, parallel computing, and practical applications in food safety inspection through cross-disciplinary collaboration. No scientific awards were documented in the source material. As an active doctoral candidate, Johnsen has no advisory responsibilities. Research grant details were not specified in the provided information. He operates within the Programming Languages and Theory of Computation research environment at the Department of Computer Science, engaging in international collaborations focused on hardware-software co-design as indicated by network analysis metrics.