Find Academic Supervisors

• Computer Vision
• Image Analysis
• Machine Learning
• +5 more

Serge Belongie is a Professor at the Department of Computer Science (DIKU) at the University of Copenhagen, where he holds dual affiliations with the Pioneer AI research section and the Image Analysis, Computational Modelling, and Geometry section. His academic position places him at the forefront of interdisciplinary research connecting computer vision with language models, geospatial analysis, and cultural understanding. Professor Belongie's research program encompasses several critical domains in modern artificial intelligence: Advanced computer vision and image analysis techniques Vision-language model integration and multimodal systems 3D point cloud processing and semantic segmentation Geospatial representation learning for environmental applications Fine-grained object recognition and detection Cultural context understanding in AI systems His recent publication record reveals a sophisticated trajectory toward developing precise control mechanisms for vision-language models, with applications spanning forensic analysis, cultural heritage preservation, and social media understanding. The research demonstrates increasing sophistication in handling cultural context and enabling fine-grained manipulation of visual content through natural language interfaces. Professor Belongie maintains an active research group producing significant scholarly output, with over 280 research publications documented in his academic profile. His work is supported by research funding that enables cutting-edge exploration in multimodal AI systems with practical societal impact. He plays a key role in the Pioneer AI center at the University of Copenhagen, which focuses on advancing artificial intelligence through interdisciplinary collaboration and innovative research approaches that bridge theoretical computer science with real-world applications.

Anne Elisabeth HaxthausenView profile

Associate Professor

• Formal methods
• Specification languages
• Semantics
• +6 more

Anne Elisabeth Haxthausen is an Associate Professor at the Software Systems Engineering section within DTU Compute , Technical University of Denmark . Her work focuses on formal methods, railway control systems, and safety-critical software engineering. Founder and leader of the DTU Railway Verification Group Member of European Technical Working Group on Formal Methods in Railway Control Editorial board member for Springer Formal Aspects of Computing Journal Active in the Overture Language Board Her research emphasizes formal verification of railway interlocking systems, particularly through compositional approaches and automated tools. She has contributed to projects like RobustRailS, Overture, and RAISE, focusing on model-based development and verification. She serves as a tutor for bachelor students and contributes to the advisory committee for DTU's Computer Science and Engineering MSc program. Her recent publications explore challenges in verifying autonomous and AI-driven railway technologies.

• Bayesian Machine Learning
• Medical Image Analysis
• Graph-based Learning
• +3 more

Raghavendra Selvan, an Assistant Professor (Tenure Track) at the University of Copenhagen, holds joint appointments in the Machine Learning Section (Department of Computer Science), Kiehn Lab (Department of Neuroscience), and the Data Science Laboratory. His academic journey includes a PhD in Medical Image Analysis (2018), MSc in Communication Engineering (2015), and BSc in Electronics and Communication Engineering (2009). PhD - Medical Image Analysis, University of Copenhagen (2018) MSc - Communication Engineering, Chalmers University (2015) BSc - Electronics and Communication Engineering, BMS Institute of Technology, India (2009) His research focuses on Bayesian Machine Learning with emphasis on Medical Image Analysis, Graph-based Learning, Tensor Networks, Approximate Inference, and Multi-Object Tracking Theory. Recent publications highlight his contributions to environmentally sustainable AI practices, efficient deep learning in medical imaging, and novel applications of tensor networks. Key research areas: Green AI and Environmental Sustainability Medical Image Analysis Graph Neural Networks Crystal Structure Prediction Model Compression Materials Science Applications

Hanne Leth AndersenView profile

Professor

• University Pedagogy
• Foreign Language Education
• Educational Assessment
• +3 more

Hanne Leth Andersen is the Rector of Roskilde University and a Professor of University Pedagogy. She holds a PhD and has extensive experience in higher education leadership, including roles as director of the Centre for Teaching Development at Aarhus University and director of the Learning Lab at Copenhagen Business School. Her research focuses on foreign language didactics, university pedagogy, educational quality, and innovative teaching methods. Education: PhD in University Pedagogy. Previous academic positions include Professor of University Pedagogy at Aarhus University and Copenhagen Business School. Research interests emphasize exam form innovations, teaching development, language learning methodologies, and the role of foreign languages in education. She advocates for educational quality and pedagogical strategies to enhance student learning environments. Key awards include Chevalier de l'Ordre de la Légion d'Honneur (France), Commandant of the Ordre des Palmes Académiques (France), and Dannebrog Order (Denmark). Notable contributions include developing teacher training programs and advising on educational policies in Norway, Sweden, Finland, and France. Advising and grants: Pioneered collegial supervision methods for teacher competence development at Aarhus University, contributed to Norway’s university quality systems evaluations, and advised on French bachelor’s program reforms. Engaged in strategic board roles within research, education, and cultural institutions. Labs/teams: Active in Roskilde University’s Rectorate leadership, previously directed Learning Lab at CBS, and collaborates internationally on educational strategy initiatives.

Eva ErikssonView profile

Associate Professor

• Human-Computer Interaction
• Participatory Design
• Interaction Design
• +7 more

Eva Eriksson is an Associate Professor at Aarhus University, affiliated with the School of Communication and Culture and the Department of Digital Design and Information Studies. Her work bridges design, technology, and social values, focusing on participatory and human-centered approaches. Her research interests center on Human-Computer Interaction (HCI) , Participatory Design , and Design for Sustainability . She explores how co-design methods can empower youth, support children with learning differences like dyscalculia, and integrate more-than-human perspectives—considering non-human actors such as nature and technology—in design processes. Her work emphasizes ethical, inclusive, and reflective design practices. The recent publications highlight a strong trend in co-design with youth , XR and AR for education , sustainable technology , and methodological innovation in design research . These works span case studies, scoping reviews, and conceptual provocations, often published in top-tier venues like CHI and Interacting with Computers . Honourable Mention Award at CHI 2020 Honorable Mention, Design Space, CHI 2021 Most Cited Paper of 2021, International Journal of Child-Computer Interaction Eva Eriksson leads and contributes to externally funded research projects such as COMPILE (focused on dyscalculia and AR) and MOVA (on more-than-human values in design education), supported by the Independent Research Fund Denmark and Erasmus+. She supervises student projects and teaches courses such as Co-design and Bachelor Project . She also serves on international PhD examination and evaluation panels, demonstrating her active role in the global academic community. She is a core member of the Center for Computational Thinking & Design (CCTD) , a multidisciplinary research center at Aarhus University that fosters innovation in design, education, and technology.

Sadegh TalebiView profile

Assistant Professor

• Reinforcement Learning
• Markov Decision Processes
• Online Learning
• +2 more

Sadegh Talebi is a Tenure Track Assistant Professor in the Machine Learning Section at the Department of Computer Science, University of Copenhagen . His research focuses on theoretical aspects of reinforcement learning, Markov decision processes, online learning, stochastic multi-armed bandit problems, and resource allocation in networks. Education BSc in Electrical Engineering (minor: Electronics) from Iran University of Science and Technology (IUST) (2004) MSc in Electrical Engineering (minor: Communication Systems) from Sharif University of Technology (2006) PhD in Electrical Engineering from the Department of Automatic Control at KTH Royal Institute of Technology (supervised by Alexandre Proutiere and Mikael Johansson) Research Specializes in theoretical foundations of reinforcement learning and online learning Key contributions in stochastic optimization, MDPs, and bandit algorithms Collaborates on applications in resource allocation and quantum computing Publications include high-impact work on offline RL, differentially private exploration, and scalable MDP solutions in journals like Neural Processing Letters and conferences such as NeurIPS and UAI.

Dorthe BlesesView profile

Professor

• Language Acquisition
• Child Development
• Early Childhood Education
• +3 more

Professor Dorthe Bleses is affiliated with Aarhus University's School of Communication and Culture, Department of Linguistics. Her research focuses on language acquisition, child development, and early childhood education, with particular emphasis on interventions and parental influences. She leads projects like The Puzzle of Danish and collaborates on initiatives such as READ in Foster Care and SPELL . Research interests include language development in Germanic languages, the impact of parenting behaviors on cognitive and social outcomes, and the effects of early interventions on literacy and numeracy skills. Her work integrates psycholinguistic theory with practical educational programs, emphasizing scalable solutions for disadvantaged populations. Key projects include evaluating large-scale literacy interventions (SPELL) and studying factors influencing language skills in diverse populations, including foster children and bilingual learners. Collaborations span Denmark and internationally, addressing topics like maternal health impacts on language acquisition and cross-cultural childcare practices. Though no awards are listed, her contributions to early childhood research are evident through her extensive publication record and leadership in interdisciplinary teams. She has no listed advisees but collaborates widely with colleagues like Rikke Svane and Erika Hoff on major studies.

Peter M. BoenischView profile

Professor

• Theatre Dramaturgy
• Theatre Directing
• Regietheater
• +5 more

Peter M. Boenisch serves as Professor of Dramaturgy at Aarhus University within the School of Communication and Culture's Department of Dramaturgy. He concurrently holds the position of Co-Director for the AU IKK Research Programme "Cultural Transformations" and represents the Department of Dramaturgy and Musicology in the IKK Institutforum. In 2024, he was elected President of the European Association for the Study of Theatre and Performance (EASTAP). His research centers on the critical intersection of theatre and society, with specialized expertise in theatre dramaturgy, Regietheater practices (particularly within German- and Dutch-speaking contexts), and the institutional frameworks governing European theatre production. He investigates how theatre institutions respond to 21st-century societal plurality beyond major cosmopolitan centers, informed by political philosophy through thinkers like Slavoj Žižek, Jacques Rancière, and Andreas Reckwitz. His work critically engages with foundational theorists including Hans-Thies Lehmann and Bertolt Brecht while acknowledging their historical positioning. Boenisch's scholarly output reveals a sustained focus on European theatrical traditions, directorial methodologies, and institutional analysis. His publications consistently examine the sociopolitical dimensions of theatre production, with particular attention to German-language Regietheater and its evolution within contemporary European contexts. This body of work establishes him as a significant voice in dramaturgical theory and practice. He actively supervises BA, MA, PhD candidates, and Post-Doc researchers while leading the CESDAS consultancy project (2022-2025) focused on applied dramaturgy. His institutional collaborations span European theatre networks including Schauspiel Dortmund, Blaagaard Teater Copenhagen, Aarhus Teater, Katapult Aarhus, and Schaubühne Berlin. Boenisch maintains extensive artistic partnerships with prominent figures including directors Julia Wissert, Sigrid Johannesen, Simon Boberg, and Thomas Ostermeier. He contributes to the ILT Festival Aarhus through development of professional festival programming strategies, demonstrating his commitment to bridging academic research and practical theatre production across institutional and national boundaries.

Lisbeth Verstraete-HansenView profile

Associate Professor

• French-language literature
• Literary history
• Sociology of Literature
• +7 more

Lisbeth Verstraete-Hansen is an Associate Professor at the Department of English, Germanic and Romance Studies, University of Copenhagen (UCPH), where she also serves as Head of Department since 2021. Previously, she held roles at Copenhagen Business School (2009-14) and UCPH (2002-06). Her research focuses on French and Francophone literature , literary history , and transnational cultural transfer , particularly in the context of language policy and Danish-French intercultural relations . Ph.D. in French (Francophone Belgian) Literature (University of Copenhagen, 2002) DEA in Comparative Literature (Université Lille III, France, 1995) MA in French Studies (University of Copenhagen, 1992) Her recent work examines the international circulation of Francophone literatures and translation studies , with a focus on paratextual representation and language ideologies in higher education . She has published extensively in journals like Meta: Translators' Journal and French Studies in Southern Africa . Notable awards include Einar Hansens Legat for Fremstående Humanistisk Forskning and Chevalier dans l’Ordre des Palmes Académiques . She has led initiatives on parallel language use and participated in international conferences on linguistic policy and postcolonial studies .

Lisa S. VilladsenView profile

Professor

• Rhetorical citizenship
• Public debate and dissent
• Official apologies
• +11 more

Lisa S. Villadsen is a Professor in the Department of Communication at the University of Copenhagen's Faculty of Humanities, specializing in rhetorical studies. She leads research on rhetorical citizenship, public debate, dissent, and official apologies, with a particular focus on political rhetoric and its societal implications. Her work bridges theoretical frameworks with practical applications in democratic discourse. Education: Ph.D. in Communication Studies, Northwestern University, USA (2000). Dissertation: "The Rhetoric of Seduction" M.A. in Communication Studies, Northwestern University, USA (1995). Thesis: "Robert G. Ingersoll's Eulogy for Walt Whitman: Toward a Popular Aesthetic of Communication" B.A. in Rhetoric with Law, University of Copenhagen, Department of Philosophy, Education and Rhetoric (1993) Lisa S. Villadsen's research centers on how rhetorical practices shape and reflect societal norms, particularly in political contexts. Her theoretical framework of "rhetorical citizenship" examines how individuals engage in public discourse as citizens. She investigates the dynamics of political debate, dissent, and the evolving norms of public argumentation, including the importance of listening in democratic dialogue. Her work on official apologies explores how societies address historical wrongs through rhetorical means, with recent focus on Denmark's potential apology for colonial slavery in the Danish West Indies. Her scholarly contributions reveal consistent engagement with contemporary political discourse, from analyzing populist rhetoric to examining leadership communication during crises like the COVID-19 pandemic. Villadsen's work demonstrates how rhetorical analysis can illuminate power dynamics in public conversations and institutional responses to societal challenges. Professional Leadership: Member and Vice-Chair of the Board of the Danish Language Council (2021-2024) Editor-in-Chief of Rhetorica Scandinavica (2011-2014) Leader of the research group "Retorikforum" at the University of Copenhagen Organizer of international conferences including "Rhetorical Citizenship and Deliberative Democracy" (2008) Member of the Board of Directors of the Rhetoric Society of America (2012-2014) Villadsen has supervised numerous students on topics ranging from Danish political rhetoric to concepts like "WOKE" and parrhesia in contemporary practice. She has taught extensively at all levels, from undergraduate rhetorical criticism to PhD courses across Scandinavia and Belgium. Her leadership extends to organizational roles including department head, study program director, and coordinator of research initiatives focused on public debate. She directs the research network "Retorisk Medborgerskab: Perspektiver på deliberativt demokrati" (Rhetorical Citizenship: Perspectives on Deliberative Democracy), which has hosted seminars, guest lectures, and international conferences exploring the intersection of rhetoric and democratic participation.

Matteo AcclavioView profile

Assistant Professor

• Proof Theory
• Logic in Computer Science
• Concurrency Theory
• +5 more

Matteo Acclavio is an Assistant Professor in Computer Science at the School of Engineering and Informatics, University of Sussex, affiliated with the Foundations of Software Systems (FoSS) research group. A logician specializing in proof theory and its applications to computer science, his work bridges mathematical logic with concurrency theory and process calculi. Education: PhD in Mathematics, Aix-Marseille University, France Master in Discrete Mathematics and Foundations of Theoretical Computer Science, Aix-Marseille University Master in Mathematics, Roma Tre University, Italy Bachelor in Mathematics, Roma Tre University His research focuses on graphical proof systems, linear logic, modal logic, and concurrency theory. Publications highlight contributions to deep inference, sequent calculus, and the intersection of logic with distributed systems. Recent work explores logical frameworks for concurrency, such as choreographic programming, and graphical models for proof systems. He teaches courses like Operating Systems and maintains active collaborations in theoretical computer science.

Christian BergqvistView profile

Associate Professor

• Competition Law
• EU Competition Law
• Telecommunications Law
• +3 more

Christian Bergqvist serves as Associate Professor at the University of Copenhagen's Faculty of Law, affiliated with the Center for Business Law and Public Regulation. He teaches Danish-language courses 'konkurrence- og markedsføringsret' and 'Konkurrenceret', alongside English-language 'EC Competition Law', while supervising Master's and PhD theses in competition law domains. His academic foundation includes a PhD from the University of Copenhagen (2006), complemented by professional experience as Assistant Professor at Copenhagen Business School (2008-2010) and legal practice at Bech Bruun and Plesner law firms. Bergqvist's research centers on EU Competition Law applications within network industries (telecom, energy, transport) and digital markets. He examines sector regulation-competition law interactions, abuse of dominance frameworks, and economic theory integration. Recent scholarship increasingly addresses AI-driven collusion mechanisms and Big Tech regulatory challenges, particularly concerning FAANG companies. Analysis of his 2024-2025 publications reveals converging trends: algorithmic pricing collusion dominates current output, while traditional sector-specific competition law analysis remains prominent in regulated industries. His work bridges theoretical antitrust frameworks with practical digital market enforcement challenges. As an active graduate supervisor, Bergqvist mentors students through the University of Copenhagen's law programs. His institutional contributions occur primarily through the Center for Business Law and Public Regulation, where he engages in collaborative research on evolving competition law paradigms.

• Mixed Methods
• Digital Methods
• Social Media Research
• +9 more

Hjalmar Alexander Bang Carlsen is an Associate Professor at the Copenhagen Center for Social Data Science (SODAS), Faculty of Social Sciences, University of Copenhagen. He specializes in mixed digital methods and is deeply engaged in research and teaching related to digital data analysis, particularly in the context of political and civic participation on social media. He is a key contributor to the Social Data Science master's degree program. University: University of Copenhagen School: Faculty of Social Sciences Department: Copenhagen Center for Social Data Science (SODAS) Position: Associate Professor in Mixed Digital Methods Email: hc@soc.ku.dk ORCID: https://orcid.org/0000-0002-2638-0932 His research centers on mixed methods strategies for digital data, with a substantive focus on civic and political engagement via social media. Key areas include informal volunteering during crises, gender inequality in online political participation, and the use of large language models (LLMs) for qualitative interviewing. He leads three major projects: SoMeVolunteer (on crisis volunteering), public participation on Facebook, and AInterviewer (an LLM-based interviewing tool). The recent publications reflect a strong trend in digital sociology, crisis response, and methodological innovation. His work combines large-scale social media data with surveys, interviews, and textual analysis, emphasizing ethical and epistemological considerations in computational social science. Topics span from refugee solidarity and pandemic volunteering to framing contests among climate NGOs and gender disparities in digital political engagement. While no formal scientific awards are listed in the provided text, Carlsen is actively funded by the Velux Foundation and UCPH Data+, and his work is widely disseminated through media and academic outlets. He collaborates closely with researchers like Jonas Toubøl and Snorre Ralund, and his projects often involve interdisciplinary teams. He has secured seed funding for innovative methodological development, indicating strong grant-writing capacity. He is involved in public engagement, with multiple media appearances discussing Danish civic response during the pandemic and refugee crises. His research outputs include journal articles, book chapters, and a co-authored textbook on mixed methods. He also participates in workshops and public lectures, contributing to both academic and public discourse on digital society. Carlsen is affiliated with SODAS and the Social Sciences Datalab, indicating active involvement in data-intensive research infrastructure. His work on AInterviewer suggests leadership in emerging AI-driven qualitative methods, positioning him at the forefront of digital social research innovation.

Irena VodenskaView profile

Professor

• Network Theory in Finance
• Systemic Risk Modeling
• Complexity Science in Macroeconomics
• +12 more

Irena Vodenska is Professor of Finance and Director of Finance Programs at Boston University’s Metropolitan College, Department of Administrative Sciences. She holds a PhD in statistical finance and an MA in economics from Boston University, an MBA from Vanderbilt University, and a BS in computer information systems from the University of Belgrade. She is also a Chartered Financial Analyst (CFA) charter holder. Her research is at the intersection of finance, complexity science, and artificial intelligence, focusing on systemic risk modeling, ESG investments, and financial network dynamics. She has led major interdisciplinary research projects funded by the National Science Foundation, the European Commission, and the U.S. Army Research Office. PhD, Statistical Finance – Boston University MA, Economics – Boston University MBA – Owen Graduate School of Management, Vanderbilt University BS, Computer Information Systems – University of Belgrade Dr. Vodenska’s research interests include network theory in finance, systemic risk propagation, AI-powered ESG analysis, cryptocurrency price forecasting, and financial regulation. She employs big data, machine learning, and natural language processing to analyze financial news, market dynamics, and corporate sustainability. Her work investigates how climate disinformation spreads via social networks and influences public policy and governance. The recent articles highlight a consistent focus on modeling financial and economic systems using network science and AI. Trends include systemic stress testing, sentiment analysis in financial markets, cascading failures, and the interplay between macroeconomic indicators and financial networks. Her work spans econophysics, behavioral finance, public health economics, and ethical AI in fintech. National Science Foundation (NSF) research grant (2023) NSF EAGER Award (2014–2015) European Commission FET Open Grant (2012–2014) U.S. Army Research Office (ARO) Grant (2020–2021) MEXT Post-K Computer Grant, Japan (2016–2019) Alexander Hamilton Fulbright Fellowship (1994) Owen Graduate School Fellowship (1995–1996) Dr. Vodenska teaches core finance courses such as Investment Analysis and Portfolio Management, Derivatives Securities, and Financial Regulation and Ethics. She co-developed the MET AD 678 course with Professor Tamar Frankel from BU Law, emphasizing real-world case studies and ethical decision-making. Her research grants have supported innovative work in systemic risk modeling, AI for ESG, and financial network stability. She is actively involved in mentoring, conference organization, and editorial roles in leading journals. She is a key organizer of the International School and Conference on Network Science (NetSci) and the Big Data in Economics, Science, and Technology (BEST) Conference. Her lab and research team focus on complexity in financial systems, bringing together economists, physicists, computer scientists, and data analysts to study global financial stability and sustainability.

• Natural Language Processing
• Machine Learning
• Computational Linguistics
• +3 more

Barbara Plank is a Professor and Chair for AI and Computational Linguistics at LMU Munich , where she leads the Munich AI and NLP (MaiNLP) Lab within the Center for Information and Language Processing (CIS) . She also serves as a Visiting Full Professor at the IT University of Copenhagen . Her research focuses on natural language processing under real-world constraints, including domain adaptation, continual learning, and multimodal learning. Current Projects: ERC Consolidator DIALECT Project KLIMA-MEMES Project Her recent work investigates annotation bias , self-consistency in language models , and trustworthy model evaluation . She has delivered keynotes at major conferences like ACL, EMNLP, and CLEF, emphasizing human-centric approaches to NLP. Scientific Awards: ACL 2024 Area Chair Award Barbara actively contributes to the academic community as VP-Elect for the Association for Computational Linguistics (ACL) and through teaching roles in MSc/BSc Computational Linguistics programs.