Find Academic Supervisors

Jane BolanderView profile

Professor

• Tax Law
• Corporate Tax
• International Tax
• +3 more

Jane Bolander serves as Professor at Copenhagen Business School within CBS Law and the Department of Business Humanities and Law, maintaining an active academic profile with 152 research publications and 10 media contributions since 2020. Her institutional role focuses on tax law scholarship and public engagement with Danish tax policy. Research interests center on Tax Law, particularly Corporate Tax structures, International Tax compliance, Inheritance Tax regulations, and Bankruptcy Taxation systems. Her work analyzes legislative loopholes in thin capitalization, double taxation scenarios, concealed asset distributions, and researcher-specific tax frameworks within Danish fiscal policy. Recent publications demonstrate consistent focus on practical applications of Danish tax legislation, with 2023-2024 outputs addressing inheritance tax deadlines, corporate distribution mechanisms, and bankruptcy tax procedures. This reflects direct engagement with evolving tax code interpretations and real-world enforcement challenges. Scientific awards: Karnov Tax Prize 2021 She has supervised 12 student works including PhD and Master's theses, though specific student names and grant funding details remain undisclosed in the provided text. Her media contributions highlight advisory impact on public tax discourse, notably addressing social media misconceptions about bottle deposit taxation and Wolt delivery platform tax controversies.

Stefano PonteView profile

Professor

• Global Value Chains
• Sustainability Governance
• Environmental Upgrading
• +6 more

Stefano Ponte serves as Professor in the Department of Management, Society and Communication at Copenhagen Business School, where he conducts research at the intersection of global value chains, sustainability governance, and environmental policy. His work directly contributes to multiple UN Sustainable Development Goals through extensive research on sustainable production systems and equitable value distribution. Ponte's research interests focus on the political economy of global value chains with particular emphasis on environmental upgrading, power dynamics, and sustainability governance. His scholarship examines how voluntary sustainability standards, regulatory frameworks, and corporate practices shape outcomes in sectors including wine, coffee, biofuels, and fisheries. A significant portion of his work analyzes the tension between environmental sustainability and social equity, particularly in Global South contexts where he investigates how sustainability initiatives often create unintended consequences for marginalized communities. Analysis of his recent publications reveals a consistent focus on the entanglement of value and wealth chains, with increasing attention to power inequalities and the hidden costs of sustainability initiatives. His work demonstrates how environmental governance mechanisms frequently reinforce existing power structures rather than creating more equitable systems, particularly evident in his studies of South African wine, Italian Prosecco, and Tanzanian conservation initiatives. 2024 Susan K Sell Best Reviewer Award 2024 Timothy Sinclair Best Article Award Professor Ponte actively supervises graduate students (with 6 supervisor tasks documented) and has secured multiple research grants supporting his work on sustainability governance. His research has been cited in policy documents and generated significant media attention, with 15 press/media mentions covering topics from sustainable entrepreneurship to the ecological impacts of the Prosecco wine 'miracle.' His work bridges academic research and practical policy applications through collaborations with international organizations and sustainability initiatives.

Katherine RichardsonView profile

Professor

• Biological Oceanography
• Marine Biology
• Ecology
• +12 more

Katherine Richardson is a Professor in Biological Oceanography at the University of Copenhagen’s Globe Institute (Faculty of Health and Medical Sciences) and leads the Queen Margrethe and Vigdís Finnbogadóttir’s Interdisciplinary Research Centre on Ocean, Climate, and Society (ROCS). She co-developed the Planetary Boundaries Framework and co-PIs the Center for Macroecology, Evolution and Climate (CMEC). Her research spans marine plankton, climate-ocean interactions, and sustainability science. D.Sc., University of Copenhagen (2020) Ph.D., University of North Wales, U.K. (1980) B.A., Harvard University (1976) Her research integrates biological oceanography with Earth system science, focusing on carbon cycling in marine ecosystems, climate change impacts on aquatic productivity, and sustainable societal transformation. She has led major international projects like the Galathea 3 expedition and EU’s ECOTIP. Her work bridges marine ecology, policy, and education. Recent publications emphasize planetary boundaries, marine eutrophication, and climate-ocean feedbacks. She has received eight major awards, including an honorary doctorate and Danish knighthoods. She has supervised over 20 PhD and 50 Masters students, and co-created two MOOCs with 82,000+ participants. Marshall Fellowship (1976) Frøken Marie Lønggaards Rejselegat (2004) Knight of the Dannebrog (2011) Ellen og Hans Hermers Legat (2015) Galathea Medal (2016) Ebbe Muncks Hæderspris (2019) Knight of Dannebrog 1st Degree (2021) Honorary Doctor at UiT The Arctic University of Norway (2022) She co-edits Marine Ecology Progress Series and has participated in 70+ research cruises. Current funding includes EU H2020’s ECOTIP (DKK 1.498M) and Carlsberg Foundation’s ROCS (DKK 20M).

• Medical Image Analysis
• Deep Learning
• Computer Vision
• +2 more

Marko Bauer serves as a Lecturer at the Department of Computer Science, University of Copenhagen, contributing to the department's research and educational mission within the Faculty of Science. His academic profile is centered on interdisciplinary work bridging computer science and medical applications, with a physical office at Universitetsparken 1, 2100 Copenhagen Ø. Bauer's research expertise lies in medical image analysis, specializing in deep learning applications for brain MRI processing. He develops innovative augmentation techniques to address data scarcity in neurological diagnostics, particularly focusing on ischemic stroke lesion segmentation. His methodological contributions include gamma distribution modeling and variational autoencoder frameworks for generating synthetic medical imagery, advancing the precision of computer-aided diagnosis systems in neurology. Analysis of his recent publications reveals a concentrated research trajectory in medical AI, with two significant 2023-2024 publications demonstrating technical innovation in instance-specific MRI augmentation. These works exemplify cross-disciplinary collaboration between computer vision and clinical neuroscience, addressing critical challenges in medical image segmentation through novel generative approaches that enhance model robustness with limited training data. As an integral member of DIKU's research ecosystem, Bauer aligns with the Image Analysis, Computational Modelling, and Geometry section and Machine Learning section. His work contributes to the department's broader engagement with the SCIENCE AI Centre, fostering synergies between theoretical computer science and real-world healthcare applications through collaborative projects with medical imaging specialists.

• Programming Language Technology
• Theory of Computation
• Compiler Technology
• +4 more

Uffe Dalgas is an Instructor at the Department of Computer Science, University of Copenhagen. His work aligns with the Programming Languages and Theory of Computation (PLTC) section, which focuses on programming language technology, theoretical computation, and interdisciplinary applications including blockchain, fintech, and formal verification. Research Interests: Programming Language Theory and Applications Formal Verification and Secure Systems Compiler Technology and High-Performance Computing Distributed Ledger Technology and Fintech Contact: ufda@di.ku.dk

• Programming language semantics
• Computational effects
• Formal verification
• +2 more

Andrzej Filinski is an Associate Professor at the Programming Languages and Theory of Computation section within the Department of Computer Science at the University of Copenhagen. His research focuses on applied programming-language semantics, particularly computational effects and machine-verifiable reasoning about programs. University: University of Copenhagen Department: Department of Computer Science Research Interests: Operational semantics of monadic effects, game-theoretic program contracts, formal verification, concurrency, distributed systems, and code certification. Recent Publications include work on information flow logic using partial equivalence relations (2024), functional approaches to regular expression matching (2021), and streaming nested data parallelism on multicore systems (2016). His research spans theoretical foundations and practical applications in programming languages and computational theory.

• Programming Languages
• Theory of Computation
• Computer Security
• +3 more

Mareike Sibilla Glöss is a Part-Time Lecturer at the Department of Computer Science, University of Copenhagen. She contributes to teaching and research in programming language technology and theoretical computer science, aligning with the PLTC (Programming Languages and Theory of Computation) section's focus areas. Position: Part-Time Lecturer Department: Department of Computer Science University: University of Copenhagen Her work intersects with advanced research groups in the department, including decentralized systems, security & privacy, and probabilistic programming. The department emphasizes both theoretical and applied research, spanning compiler technology, quantum computing, and high-performance systems.

• Programming Languages
• Theory of Computation
• Blockchain Technology
• +5 more

Rikke Tophøj Heinemann is an academic staff member at the Department of Computer Science (DIKU) , University of Copenhagen. She holds the academic rank of Lecturer and is affiliated with the Programming Languages and Theory of Computation section (PLTC). Her research interests align with the section’s focus areas, including programming language technology, theoretical foundations of computation, blockchain, distributed ledger technology, computer security, and privacy preservation.

• Programming Languages
• Theory of Computation
• Formal Verification
• +3 more

Andreas Høier Hvass serves as an Instructor at the Department of Computer Science (DIKU) at the University of Copenhagen. He is affiliated with the Programming Language and Theory of Computation (PLTC) section, which conducts research at the intersection of programming language theory and practical applications. His research interests include: Programming Languages Theory of Computation Formal Verification Computer Security and Privacy Distributed Systems Blockchain Technology The PLTC section focuses on areas such as algorithmic programming, formal verification, computer security, privacy, distributed ledger technology, and fintech applications. As an Instructor, Hvass contributes to teaching within the Computer Science programs at DIKU. His research aligns with the department's work in programming language technology, theoretical computation, and their practical applications in security-critical systems.

Thomas Philip JensenView profile

Professor

• Programming Languages
• Theory of Computation
• Formal Methods
• +3 more

Thomas Philip Jensen is a Professor in the Department of Computer Science at the University of Copenhagen, specializing in the Programming Languages and Theory of Computation research section. His work bridges theoretical computer science with practical security applications through formal methods and program verification. His core research interests include: Programming Languages Theory of Computation Formal Methods Program Verification Information Flow Security Type Systems Analysis of his 2020-2024 publications reveals sustained focus on security-critical program transformations, with key trends in constant-time enforcement against side-channel attacks, logical frameworks for information flow using partial equivalence relations, and refinement-type-based verification. His work consistently connects theoretical foundations to compiler security and secure workflow systems. No scientific awards are listed in the provided information. Details about student advising and research grants are not specified in the source materials. Professor Jensen operates within the Programming Languages and Theory of Computation section, which leverages the Department of Computer Science's infrastructure including high-performance computing clusters and specialized research laboratories.

• Programming Languages
• Theory of Computation
• Computer Security
• +3 more

Marc Ivan Løvenskjold is an Lecturer at the Department of Computer Science (DIKU), University of Copenhagen. He is affiliated with the Programming Languages and Theory of Computation (PLTC) section, which focuses on programming language technology, formal verification, and theoretical foundations of computing. His work intersects with applications in Computer security and privacy Distributed ledger technology and fintech Compiler systems and optimization Email: mlov@di.ku.dk

• Programming Languages
• Theory of Computation
• Formal Verification
• +3 more

Atta Samiullah serves as an Instructor in the Department of Computer Science at the University of Copenhagen, affiliated with the Programming Languages and Theory of Computation (PLTC) section. His role encompasses teaching responsibilities across undergraduate and graduate computer science programs including BSc in Computer Science, Computer Science and Economics, Machine Learning and Data Science, and Communication & IT. His research profile aligns with PLTC's core focus areas: Programming language technology and formal verification methodologies Theory of computation with applications in distributed ledger systems Security and privacy preservation techniques in software systems Financial technology applications and blockchain infrastructure Compiler technology and high-performance computing architectures Quantum programming language design The PLTC section operates through specialized research groups including Decentralized Systems, Security & Privacy, HOT Lab, FUTHARK (Functional Technology for Modern Architectures), and Quantum Programming. These groups maintain active industry collaborations in fintech and blockchain sectors while developing open-source tools like Moscow ML and MLKit compilers. Research output spans probabilistic programming frameworks, Stein variational inference techniques, and applications in bioinformatics and vaccine design. No scientific awards or student supervision activities are documented in current institutional records. His work contributes to the department's mission in advancing programming language theory with practical implementations in secure financial systems and distributed computing environments.

Henrik Vardinghus-NielsenView profile

Associate Professor

• Public Health
• Sociology
• Social Relations
• +5 more

Henrik Vardinghus-Nielsen is an Associate Professor at the Department of Medicine and Health Technology within the Faculty of Health Sciences at Aalborg University. His research focuses on public health, particularly on increasing well-being among children and young people in Denmark, with expertise spanning sociology, organizational learning, and health promotion. He leads several significant research projects including the Partnership on youth well-being in Aalborg and the development of distributed health competencies. His educational background includes a PhD in Organizational Learning and Sociology (2013) and a Master of Arts in Communication and Sociology (1993-2000). His research fingerprint shows strong emphasis on Denmark (100%), Health Promotion (87%), Health Service (81%), and Community-Based approaches (64%). Vardinghus-Nielsen's research interests center around public health science, sociology and social relations, discourse and society, and pedagogy and learning. His work bridges theoretical sociology with practical public health applications, particularly examining how organizational structures influence health outcomes and well-being. Recent projects focus on youth well-being, distributed health competencies, and understanding decision-making processes in healthcare settings. His publication record shows consistent output since 2002, with significant recent activity in 2023-2025. His research spans qualitative studies on dementia care, emergency medical decision-making, medication safety in nursing homes, and youth well-being initiatives. His work demonstrates a strong connection between sociological theory and practical public health applications, with particular attention to how health competence is distributed across communities and healthcare systems. As an active researcher, he has supervised PhD students and participated in numerous research projects, with current projects extending through 2029. His work often involves collaboration with municipalities and healthcare institutions to implement and evaluate public health interventions. The 'Vores Sunde Hverdag' project and research on distributed health competencies represent his commitment to translating theoretical knowledge into practical community health improvements. His professional activities include numerous presentations and lectures for both academic and public audiences, demonstrating his commitment to knowledge dissemination beyond traditional academic channels. His research has practical implications for healthcare policy and community health initiatives, particularly in the Danish context.

Anders la Cour-HarboView profile

Associate Professor

• Unmanned Aircraft Systems
• Drone Technology
• Control Systems
• +5 more

Anders la Cour-Harbo serves as an Associate Professor in the Department of Electronic Systems at Aalborg University's Technical Faculty of IT and Design. His academic career spans over two decades with consistent publication output since 2000, demonstrating sustained research activity in unmanned aircraft systems and related technologies. His institutional affiliation places him within Denmark's prominent engineering research environment focused on practical technological applications. Professor la Cour-Harbo's research interests center on unmanned aircraft systems engineering, with particular expertise in drone applications for industrial settings. His work spans drone load systems, emergency landing technologies, predictive maintenance, and offshore operations. The research fingerprint shows strong emphasis on Unmanned Aircraft Engineering (100%), Load System Engineering (87%), and Unmanned Aircraft System Engineering (46%), reflecting his specialized focus areas. His projects consistently address real-world applications of drone technology, particularly in challenging environments like offshore wind farms. Analysis of his publication trends reveals a strategic focus on practical drone applications with increasing emphasis on safety systems, regulatory compliance, and industrial implementation. Recent publications (2023-2024) show strong industry relevance with applications in offshore wind turbine maintenance, predictive maintenance systems, and vision-based control technologies. His research bridges theoretical control systems with practical implementation challenges in drone operations. Teacher of the Year 2015 Teacher of the Year 2006 Professor la Cour-Harbo leads multiple significant research projects including SafeEye (Automated emergency landing for small unmanned aircraft), UAS-ability (research infrastructure for drone development), and OPAL (Offshore Delivery of Packages). He serves as chair for JARUS (Joint Authority for Rulemaking of Unmanned Systems), significantly influencing European drone legislation. His spin-off company Vixos demonstrates successful technology transfer from academic research to commercial application. The Harm threshold for unmanned aircraft in European legislation impact shows his direct contribution to shaping regulatory frameworks. His laboratory and research team focus on practical drone applications with infrastructure supporting airborne data collection and drone development. The UAS-ability project specifically created research infrastructure for drone development and airborne data collection. His collaboration network spans multiple countries, with significant European partnerships focused on advancing drone technology standards and applications. His work with JARUS places him at the forefront of international drone regulation development.

Martin BøgstedView profile

Professor

• Clinical Data Science
• Artificial Intelligence
• Applied Probability Theory
• +10 more

Martin Bøgsted is a Professor at Aalborg University, serving as Center Director at Clinda (Center for Clinical Data Science) within the Clinical Institute of the Faculty of Health Sciences. With over 30 years of experience spanning academia, public sector, and industry, he leads significant research initiatives in clinical data science and artificial intelligence applications in healthcare. His research interests span clinical data science, artificial intelligence, applied probability theory, statistics, and machine learning with applications in medicine, agriculture, and telecommunications. His fingerprint analysis reveals specialized expertise in Diffuse Large B-Cell Lymphoma (100%), B Cell research (74%), Multiple Myeloma (41%), Overall Survival analysis (40%), Malignant Neoplasm studies (34%), and Personalized Medicine (23%). His recent publications demonstrate a strong focus on AI applications in healthcare, privacy-preserving synthetic data generation, clinical trial participation, and time-to-event prediction models. His work shows a clear trend toward integrating AI for personalized risk assessment and clinical interventions, with significant emphasis on ethical development of health data technologies. Martin Bøgsted actively supervises master's and PhD students, with records indicating 14 PhD students supervised. He leads major research projects including SE3D (Synthetic health data: ethical development and deployment via deep learning approaches) funded by the Novo Nordisk Foundation (2024-2028) and ARISTOTELES (Integrating AI for Personalized Risk Assessment) (2023-2028). He directs the Center for Clinical Data Science (CLINDA) at Aalborg University, which focuses on developing innovative infrastructure, artificial intelligence, and digital tools for multimodal data fusion and predictive modeling in the healthcare sector. His leadership extends to advisory roles including the Working Group for the National Genome Database and the Advisory Board for Research and Infrastructure at the Danish National Genome Center.