Find Academic Supervisors

Jens Jørgen HansenView profile

Associate Professor

• Digital Learning
• Learning Design
• Digital Literacy
• +9 more

Jens Jørgen Hansen is an Associate Professor in the Department of Design, Media and Educational Sciences at the University of Southern Denmark (SDU), Faculty of Humanities. His work bridges educational theory, digital learning, and subject-specific didactics, with a strong focus on Danish language education and digital literacy. Education: PhD, University of Southern Denmark, 2007 – Thesis: "Between design and didactics. About digital learning materials in schools" Master of Arts in Nordic Languages and Literature, Aarhus University, 1993 Master of Arts with minor in Cultural Work and Communication, Odense University, 1995 Supplementary education in Media, Rhetoric and Communication, Aarhus University, 1999 His research interests include digital learning and learning design, digital literacy in reading and writing, academic study skills, web communication, and Danish subject didactics. He emphasizes the integration of design principles with pedagogical practice to enhance student engagement and learning outcomes in digital environments. The most recent publications reflect a consistent focus on digital literacy, writing instruction, exam literacy, and the role of technology in education. Themes include the design of personal learning environments, the use of AI in learning, and the development of subject-specific literacy models, particularly in the Danish language context. Scientific and Professional Recognition: Editor, Learning and Media (since 2015) Editor-in-Chief, Danish University Education Journal (since 2013) Co-leader, Digital Pedagogy and Learning in Higher Education SIG, Danish University Pedagogy (since 2022) Co-leader, Focus Area 'Danish Subject Didactics', Center for Primary School Research (since 2022) Hansen actively supervises and teaches in programs related to media, knowledge communication, and educational sciences. He has led and participated in numerous research and development projects funded by national agencies and institutions. His work often involves collaboration with schools, libraries, and educational organizations. He is involved in shaping policy and practice in Danish education through research, publications, and public engagement. He is a member of the Center for Primary School Research and has participated in national and Nordic research networks. His projects often emphasize co-creation, digital competence development, and innovation in teaching practices.

Anne Rheder AndersenView profile

Assistant Professor

• Language Education
• German Language Teaching
• Cross-border Cultural Studies
• +3 more

Anne Rheder Andersen serves as a Teaching Assistant Professor in the Department of Culture and Language at the University of Southern Denmark, actively engaged in language education research and cross-border cultural studies. Her research focuses on: German language pedagogy in Nordic higher education contexts Implementation of German as supplementary competence in university curricula Historical and social dynamics of the German-Danish border region Recent scholarly work examines German language proficiency initiatives at her institution, with two articles currently under submission to The Nordic Journal of Language Teaching and Learning analyzing curriculum development and pilot program outcomes. Her academic activities include panel participation in workshops on Schleswig-Holstein history and border region inequalities, reflecting her interdisciplinary approach to language, culture, and regional studies.

Gritt OverbeckView profile

Associate Professor

• Implementation Research
• Primary Care
• Psycho-social Wellbeing in Children
• +5 more

Gritt Overbeck serves as Associate Professor and Deputy Head of Department for Education in the Section of General Practice at the Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen. She also functions as a Work Package Lead in research projects and serves as Editor for BMC Primary Care starting November 2024. Her educational background includes: PhD in Implementation Science from University of Copenhagen (2014-2017, awarded December 1, 2017) with thesis on 'Implementing Collaborative Care for anxiety and depression in Denmark' Master's degree in Language Psychology (Cand. mag. Sprogpsykologi) from University of Copenhagen (2009-2012, awarded August 1, 2012) with thesis on 'Secure Talks - communication in safety-critical environment' Overbeck's research primarily focuses on the development and evaluation of complex healthcare interventions that involve multiple stakeholders. Her work examines collaboration between general practice, hospitals, and municipalities to improve patient care pathways, with particular interest in implementation science, psycho-social wellbeing in children, and the intersection between scientific evidence and legislation. She applies methodologies including Normalization Process Theory and process evaluation to understand how healthcare innovations are integrated into practice. Her recent publications reveal strong trends in primary care research, child and adolescent mental health, implementation of complex interventions, and patient experiences. Much of her work centers on practical applications in Danish healthcare settings while contributing to international implementation science literature. She frequently employs qualitative and mixed methods approaches to understand healthcare processes and stakeholder perspectives. Her scientific recognition includes: Magda og Svend Aage Friederichs mindelegat (2024) Overbeck teaches the 'Early Patient Contact and Basic Ethics' course in the medical bachelor's program and research methodology in general practitioner specialist training. She supervises master's and bachelor's theses, primarily focusing on qualitative literature reviews examining patient or professional experiences. Her research has been supported by grants from the Novo Nordisk Foundation, Lundbeck Foundation, and Velux Foundation. She has held external positions including Senior Researcher at the University of Southern Denmark (September 2021-February 2023) and will serve as Editor for BMC Primary Care starting November 2024. Her current research includes the 'FamilyWellbeing in General Practice' project investigating implementation of enhanced psychosocial interventions in child health examinations, and the 'LightCom' project studying patient experiences in weight loss interventions across Denmark and England.

Cosmin Eugen OanceaView profile

Associate Professor

• Programming Language Design and Implementation
• Compiler Optimization
• Automatic Parallelization
• +7 more

Cosmin Eugen Oancea serves as an Associate Professor in the Programming Languages and Theory of Computation section at the Department of Computer Science (DIKU), University of Copenhagen, Faculty of Science. His academic profile shows active engagement in research, teaching, and collaboration within the computer science community. Education: PhD in Computer Science from Western University (completed November 20, 2005) Dissertation title: "Parametric Polymorphism for Software Component Architectures and Optimizations" Oancea's research spans multiple domains within computer systems, with primary focus on static, dynamic and hybrid techniques for automatic parallelization (optimizing compilers), programming language design and implementation, memory management, and computer algebra. His recent work demonstrates strong connections between functional programming, array languages, and high-performance computing, with applications in financial modeling, automatic differentiation, and time series analysis. He has made significant contributions to the Futhark programming language ecosystem, focusing on compiler optimizations and performance tuning for GPU architectures. His publication record shows consistent output in top-tier venues including SC (International Conference for High Performance Computing), IFL (Symposium on Implementation and Application of Functional Languages), and ARRAY (Workshop on Libraries, Languages and Compilers for Array Programming), with a notable concentration of publications from 2021-2023. His research demonstrates interdisciplinary connections between computer science theory and practical applications in finance, environmental data analysis, and machine learning infrastructure. Oancea maintains active international collaborations across multiple countries, as indicated by the network visualization of his research partnerships. His work bridges theoretical computer science with practical implementations, particularly in the domain of array programming and compiler optimization for parallel architectures.

• Abstract interpretation
• Termination analysis
• Formal languages
• +13 more

James Emil Avery is an Associate Professor at the Department of Computer Science, Faculty of Science, University of Copenhagen. His research spans abstract interpretation, termination analysis, and quantum chemistry applications using Coulomb Sturmians. He actively contributes to program analysis, computational methods in physics, and discrete mathematics. Research areas: Formal languages, operator algebra, quantum theory, and computational nanoscience Academic activities: VILLUM Young Investigator Program (2017), Editor for IET Nanobiotechnology (2017-2021) Technical publications: 15+ works on quantum chemistry methods, graph theory, and parallel computing His recent work includes simulating fullerene formation, solving wave equations on non-Euclidean surfaces, and developing symmetry-adapted basis sets. He has presented at international conferences on topics ranging from wave equation modeling to carbon nanostructure analysis. Scientific Awards: VILLUM Young Investigator Program grant recipient As an active researcher, Avery has participated in collaborative projects like the ERC Starting Grant evaluation and contributed to programming language development through the Bohrium framework. His editorial work at IET Nanobiotechnology demonstrates commitment to scientific peer review.

• Reversible Computation
• Programming Languages
• Functional Programming
• +5 more

Michael Kirkedal Thomsen is an Associate Professor in the Programming Languages and Theory of Computation section at the Department of Computer Science (DIKU), University of Copenhagen's Faculty of Science. His research focuses on reversible computation and programming language theory, with significant contributions to invertible functional programming languages. He maintains an active research profile with numerous publications in the field of reversible computing. Thomsen's research interests center around reversible computation , programming languages , and functional programming . His work explores the theoretical foundations and practical implementations of reversible systems, with particular attention to program transformations, semantics, and energy efficiency implications. His research bridges theoretical computer science with practical applications in programming language design. His recent publications demonstrate a clear trend toward developing practical reversible programming languages like Jeopardy and analyzing their properties. The research spans theoretical aspects of reversible semantics to practical considerations like energy overhead when executing reversible programs on conventional hardware. His work connects computer architecture, programming language theory, and formal methods. Marie Curie Fellowship Thomsen has presented his research at conferences including talks on 'Reversible Functional Programming Languages' and 'Programming in Reversible Computing and its application to speculative execution.' His research has garnered significant academic attention with multiple publications receiving numerous citations. He collaborates internationally across various institutions, contributing to the global advancement of reversible computing research. Thomsen maintains an active research profile with regular publications in specialized conferences on reversible computation. His work appears to be centered in the Programming Languages and Theory of Computation research group at DIKU, where he contributes to advancing theoretical computer science with practical implications for energy-efficient computing and language design.

Alceste ScalasView profile

Associate Professor

• Formal Methods
• Programming Languages
• Multiparty Session Types
• +5 more

Alceste Scalas is an Associate Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU). His research focuses on formal methods in concurrency, multiparty session types, distributed systems, and programming language theory. Scalas leads the Software Systems Engineering group and actively supervises PhD students in areas such as secure distributed systems and formal verification of communication protocols. His work integrates theoretical contributions (e.g., process algebra formalisms, Petri net encodings) with practical applications like verified network APIs and automated test synthesis for RESTful systems. Recent projects include COTS (OpenAPI test synthesis) and P4R-Type (verified P4 control plane tools). Scalas' research has been applied to secure cloud-edge systems (TaRDIS project), hybrid verification methodologies, and SDN protocol validation. He co-develops tools like Effpi for verified message-passing programs and PSTMonitor for session-type monitoring. He supervises PhD candidates working on secure distributed applications, formal methods in blockchain (Algorand smart contracts), and concurrency patterns in actor systems. His work bridges theoretical computer science with real-world system verification challenges.

Jaco van de PolView profile

Professor

• Model Checking
• Quantum Computing
• Symbolic Computation
• +5 more

Jaco van de Pol is a Professor at the Department of Computer Science, Aarhus University. His research focuses on formal methods, quantum computing, and symbolic computation. He specializes in model checking, timed automata, decision diagram algorithms, and quantum circuit synthesis. Education background includes expertise in computer science with a strong foundation in theoretical computer science and formal verification techniques. Key research interests include: Development of scalable symbolic algorithms for large systems Quantum circuit optimization using SAT-based approaches External memory implementations of decision diagrams Formal verification of real-time and parametric systems Recent work emphasizes quantum computing applications, such as layout-aware CNOT circuit synthesis for NISQ processors, and novel algorithms for parametric timed games. His contributions include the Adiar framework for external memory BDD manipulation and the Sylvan decision diagram library. No academic awards or grants are explicitly mentioned in the provided materials. He has advised multiple collaborations but no specific student names are listed. His research group focuses on advancing formal methods through practical tools and theoretical advancements.

Annegrethe AhrenkielView profile

Associate Professor

• Early Childhood Education
• Child Development
• Welfare Policy
• +3 more

Annegrethe Ahrenkiel is an Associate Professor of Pedagogy and Education at Roskilde University, Department of People and Technology. As Head of the Danish Centre for Research in Early Childhood Education and Care, her work focuses on analyzing everyday practices in welfare institutions, particularly in daycare settings. She investigates how political agendas influence professionalism, democratic participation, and child development. Her research combines ethnographic fieldwork and action research, emphasizing 'unnoticed pedagogical professionalism' in areas like children's friendships, play, and language use. Teaching responsibilities include graduate courses on ethnographic methods, everyday life theory, and visual methods. She has led the Master in Education and Learning program and contributed to continuing education for welfare professionals. Key collaborations involve Nordic networks exploring welfare ethics and childhood studies. Media engagements highlight critiques of language screening practices and advocacy for play-based learning. Research Themes: Early childhood literacy, welfare policy, professional ethics, child-sensitive pedagogy Methodologies: Ethnography, action research, qualitative analysis Key Projects: Peer-talk in language learning, policy-practice interactions, children’s relationships Recent publications emphasize children’s agency in literacy, the role of play, and ethical dilemmas in welfare contexts. Over 100 research outputs span peer-reviewed articles, book chapters, and policy-oriented reports.

Maja Hanne KirkebyView profile

Associate Professor

• Energy-efficient Software
• Program Analysis
• Computer Science
• +3 more

Maja Hanne Kirkeby is an Associate Professor at Roskilde University , Denmark, affiliated with the Department of People and Technology Programming, Logic and Intelligent Systems . Her research focuses on energy efficiency in software and hardware systems, program transformation, and sustainable IT development. She has contributed to projects like Green IT-procurement and Energicertificeret softwareudvikling og drift . Her work bridges theoretical computer science and practical applications, emphasizing energy-aware software development. Key research areas include static communication analysis for hardware design, reversible computing, and optimizing Haskell compilers for energy efficiency. She actively participates in initiatives such as the CERCIRAS COST Action to promote resource-aware societies. Dr. Kirkeby has been involved in organizing events like the CERCIRAS Training School 2022 and serves on conference committees for programming language design and implementation. Her media engagements highlight concerns about AI's escalating energy consumption in data centers, advocating for stricter industry standards. Her research outputs emphasize empirical analysis and interdisciplinary collaboration, with publications in venues like Computer Science and Information Systems and ACM Symposium on Applied Computing .

• Theoretical Computer Science
• Formal Methods
• Programming Languages
• +5 more

Luís Cruz-Filipe is an Associate Professor at the Department of Mathematics and Computer Science (IMADA) within the Faculty of Engineering at the University of Southern Denmark. His research spans theoretical computer science with a focus on formal methods, programming languages, and distributed systems. He maintains an active research profile with numerous publications in top venues. His research interests primarily center around choreographic programming, formal verification, sorting networks, and logic programming. Cruz-Filipe has made significant contributions to the theoretical foundations of choreographic programming, developing formal frameworks for specifying and verifying distributed communication protocols. His work on sorting networks has advanced the understanding of optimal network structures, while his research in approximation fixpoint theory has provided formal foundations for logic programming semantics. Analysis of his recent publications reveals a strong trend toward formal methods applied to distributed systems, particularly in choreographic programming where he has developed theoretical frameworks, verification techniques, and compilation approaches. His work bridges theoretical computer science with practical implementation concerns, often using proof assistants like Coq to ensure correctness. More recently, he has expanded into sustainability topics with work on green software development. As an academic, Cruz-Filipe has contributed significantly to the theoretical foundations of choreographic programming, producing a cohesive body of work that has helped establish this field. His publications demonstrate a consistent focus on formal methods to address challenges in distributed systems, with increasing attention to practical implementation and verification.

Torben JohansenView profile

Assistant Professor

• Machine Learning
• Econometrics
• Historical Data Analysis
• +3 more

Torben Johansen is an Assistant Professor in the Department of Economics VIP at the University of Southern Denmark. His research focuses on machine learning applications in historical data analysis, econometrics, and causal inference. He actively collaborates on projects combining machine learning with socioeconomic data, such as improving census transcriptions and analyzing breastfeeding impacts on educational outcomes. Johansen teaches courses in statistics and historical economics applications, supervises master’s students in economics and medicine, and engages in academic activities through conferences and peer reviews. His work bridges computer science and social sciences, with notable contributions to occupational standardization and policy optimization. He has contributed datasets to platforms like Harvard Dataverse and engages in public discourse on child health policies. Education: Implied PhD in Economics or related field (not explicitly stated) Research Interests: Machine Learning in socioeconomic contexts, causal inference, historical data digitization, and health economics. His methodologies include neural networks, transfer learning, and optimization algorithms applied to real-world policy problems. Recent research trends emphasize interdisciplinary approaches, blending econometric models with machine learning to address challenges in healthcare, labor markets, and historical record analysis. Key contributions include improving transcription accuracy in historical censuses and evaluating long-term effects of early childhood health interventions. Awards: None explicitly mentioned Advising involves supervision of master’s students in economics and medicine. His teaching portfolio includes applied statistics and historical perspectives on economics. Grants and funding details are not detailed in the provided text. Labs/Teams: Active member of the HEDG (Historical Economics & Development Group) and collaborates with researchers in computer science and public health.

Fabrizio MontesiView profile

Professor

• Programming Languages
• Cybersecurity
• Distributed Systems
• +3 more

Fabrizio Montesi is a Professor and Head of Section in the Department of Mathematics and Computer Science at the University of Southern Denmark. He holds a leadership role as President of the Microservices Community since 2019. His research focuses on Choreographic Programming, Programming Languages, Cybersecurity, and Distributed Systems, with notable contributions to frameworks like Jolie and Choral. Montesi has secured significant grants, including EU Horizon Europe funding and Villum Foundation awards. He has supervised PhD students in microservices development and contributed to over 90 research outputs. His work emphasizes formal methods, concurrency, and secure distributed systems design. Research Interests His primary research areas include choreographic programming models, formal verification of distributed systems, and cybersecurity in microservices architectures. He explores theoretical foundations such as session types, process calculi, and linear logic, while developing practical tools like the Choco project for choreography-based IT systems. His work bridges theory and practice through frameworks like Jolie, enabling secure and scalable service-oriented computing. Grants & Projects - CHORDS (EU Horizon Europe) : Choreographies for Distributed Systems (2024–2029)\n- X-IDF : Explainable Internet Data Flows (2022–2026)\n- Choco : Choreographies for connected IT systems (2020–2025). Projects emphasize cybersecurity for SMEs and formal methods for distributed systems. Awards - Best Artefact Award (2023)\n- Villum Synergy Grant (2022)\n- Distinguished Paper Award (2021)\n- Villum Young Investigator (2019)\n- Innovation Prize (2017). Media & Outreach Montesi has engaged with media on topics like AI tools for media houses, cybersecurity for SMEs, and Denmark’s success in EU research grants. His work is cited in Wikipedia and discussed in academic networks.

Niklas Andreas AndersenView profile

Associate Professor

• Public Administration
• Public Policy
• Evidence-Based Policy
• +4 more

Niklas Andreas Andersen is Associate Professor at the Department of Politics and Society, Faculty of Social Sciences and Humanities, Aalborg University. His research sits at the intersection of public administration and policy, focusing on evaluation techniques in street-level organizations, evidence-based knowledge institutionalization, and welfare policy design. Affiliated with WISER research group and Carlsbergfondet grant projects. PhD in Public Administration (2017-2020) MSc (cand.scient.adm) in Public Administration (2010-2016) Research spans integrated service delivery challenges, activation policy resilience, and evaluation system dynamics across EU countries. Key themes include labor market policy, welfare state reform, and digitalization's impact on public administration. Recipient of AAU Pædagogikum-pris (2022) for research and education contributions. Active in international conferences (ECPR, IRSPM) and collaborates on projects like CUBB 2.0 and LISES. Currently contributes to debates on employment services and policy implementation through media appearances.

Euan LindsayView profile

Professor

• Engineering Education
• Problem-Based Learning
• Artificial Intelligence in Education
• +4 more

Euan Lindsay serves as Professor in the Department of Sustainability and Planning within Aalborg University's Technical Faculty of IT and Design. He maintains dual institutional affiliations through the Aalborg Center for Problem Based Learning in Engineering Science and Sustainability and the AI for the People Institute for Advanced Study in PBL. His work bridges sustainability planning with cutting-edge educational technology applications. Research interests center on Engineering Education and Problem-Based Learning methodologies, with significant recent focus on Generative AI applications in educational contexts. Current projects explore digital twins for feedback systems, large language model implementations for course evaluations, and microcredential frameworks supporting sustainable engineering education. His scholarship demonstrates consistent evolution from traditional engineering pedagogy toward AI-integrated learning ecosystems. Analysis of recent publications reveals three dominant trajectories: (1) Ethical implementation of generative AI in educational feedback systems, (2) Institutional change management for academic innovation, and (3) Microcredential development for sustainable engineering competencies. The Digital Twins project funded by The Villum Foundation represents his most significant current research initiative. Lindsay actively contributes to educational innovation through ongoing projects including the Digital Twins for Abundant Feedback initiative (2024-2025). His publication record shows sustained output with 85+ publications through 2025, demonstrating continuous scholarly engagement. While no formal awards are documented in the source material, his leadership in major research projects indicates significant professional recognition within engineering education circles. As principal investigator on multiple large-scale projects, Lindsay directs research teams developing novel AI applications for educational feedback systems. His work through the Aalborg Center for Problem Based Learning establishes him as a key figure in sustainability-focused engineering education reform, particularly in Scandinavian and European contexts.