Find Academic Supervisors

• Bioinformatics
• Machine Learning
• Deep Learning
• +5 more

Ole Winther is Professor in High dimensional biological data analysis/Machine learning at the Department of Biology, University of Copenhagen and Professor in Data science and complexity at DTU Compute, Technical University of Denmark. He serves as CRO and co-founder of raffle.ai, CTO and co-founder of FindZebra, Head of ELLIS Unit Copenhagen, and co-PI of the Machine Learning for Life Science Center. His research spans Bioinformatics , Machine Learning , and AI for Science , focusing on applying deep learning to biological sequence analysis, latent variable models, and medical NLP. Winther's work develops predictive and generative models for bioinformatics, with significant contributions to protein localization tools (SignalP, DeepLoc, DeepTMHMM), single-cell genomics, and novel deep learning architectures like variational autoencoders and diffusion models. Analysis of Winther's recent publications (2023-2025) reveals a strong trend toward integrating protein language models with traditional bioinformatics approaches and applying diffusion models to scientific problems. His work bridges theoretical machine learning advancements with practical applications in biology and medicine, particularly in protein sequence analysis, medical search engines, and scientific simulation acceleration. Winther currently supervises a diverse research group including Panagiotis Antoniadis, Rachael M. DeVries, Jun Wang, Beatrix M. G. Nielsen, Felix G. Teufel, Irene R. Rodriguez, Anders Christensen, and Christopher Heje Grønbech. His former students have established successful careers at institutions including Google, Apple, and various startups, with notable alumni like Casper Sønderby (Google Brain) and Søren Sønderby (Apple). He leads significant research initiatives including the ELLIS Unit Copenhagen and the Machine Learning for Life Science Center, while maintaining active industry partnerships through his co-founded companies raffle.ai (enterprise search using NLP) and FindZebra (search engine for rare diseases). His teaching includes Deep Learning courses at both DTU (02456) and University of Copenhagen (NDAK24002U).

• Ethnology
• Migration Studies
• Refugee Studies
• +3 more

Marie Sandberg is an Associate Professor in the Promotion Programme at the Saxo Institute, University of Copenhagen. She is affiliated with the Faculty of Humanities and participates in HUM:Global initiatives focused on interdisciplinary global studies. Her research emphasizes ethnological analyses of migration, borders, and refugee policies, particularly exploring temporal governance, state-civil society interactions, and the paradoxes of welfare-state frameworks. Her work examines the everyday practices of refugees and volunteers in contexts of temporary protection status, as well as the ethical challenges in digital migration studies. She contributes to debates on deterrence policies, repatriation agendas, and the precarity of academic labor. Sandberg’s research methodologies often combine ethnography with critical analysis of policy frameworks. Key Research Themes: Refugee temporariness, border studies, humanitarianism, and academic precarity Professional Roles: Member of the Professional Project Group (PPG) in HUM:Global, coordinating interdisciplinary projects Geographic Focus: Europe, with emphasis on Denmark, Poland, and Germany Recent publications highlight her focus on the interplay between state policies and grassroots efforts, as well as the temporal dimensions of displacement. She has co-edited special issues on migration and authored studies on volunteerism in refugee relief work.

Alena ThielView profile

Associate Professor

• State knowledge systems
• biometric identification technologies
• census and census histories
• +13 more

Alena Thiel is an Associate Professor at the Centre of African Studies within the Faculty of Social Sciences at the University of Copenhagen. Her research examines digital technologies' impact on state formation and knowledge systems across Africa, with primary field sites in Ghana, Senegal, Botswana, and Kenya. Her core research areas include: State knowledge systems (biometric ID, census histories, DHIS2 health records) Digital governance (addressing systems, payment solutions, disaster risk datafication) African/feminist AI development and implementation Anthropology of the state through Science and Technology Studies (STS) frameworks Recent publications (2024-2025) reveal concentrated analysis of health data infrastructures in Ghana, trust dynamics in Africa's global networks, and critical sociological examinations of digital identification. Her work consistently bridges anthropological theory with practical governance challenges in African contexts. As an active member of the Centre of African Studies, she maintains interdisciplinary collaborations across multiple African countries and European institutions, with particular emphasis on Ghanaian research partnerships and editorial leadership for Africa Spectrum journal.

Roberta SinatraView profile

Professor

• Computational Social Science
• Network Science
• Data Science
• +3 more

Roberta Sinatra is a Professor in Social Data Science at the University of Copenhagen, with part-time affiliations at ITU Copenhagen, ISI Foundation (Italy), and CSH (Austria). She co-founded the NERDS Research Group at ITU and co-leads the Pioneer Centre for AI in Copenhagen. Research Interests: Her work spans computational social science, network science, and data science, focusing on fairness in AI, scientific careers, and human mobility. Recent projects include analyzing child protection algorithms and modeling urban bicycle networks. Scientific Awards: ERC Consolidator Grant Villum Young Investigator Grant Complex Systems Society Junior Prize DPG Young Scientist Award for Socio- and Econophysics Sapere Aude: Starting Grant Publications: Her research, often in top-tier venues like Nature and Science , explores interdisciplinary themes, including AI ethics, gender disparities in science, and social network dynamics. Labs & Teams: She leads research initiatives at the Center for Social Data Science (KU) and co-founded the NERDS Research Group at ITU, fostering international collaboration in network science and AI ethics.

John W. EdmundsView profile

Professor

• Infectious Disease Modelling
• Epidemiology
• Public Health Policy
• +6 more

Professor John W. Edmunds is a leading academic in Infectious Disease Modelling at the London School of Hygiene and Tropical Medicine (LSHTM). Holding a Professor position since 2013 and serving as Dean of the Faculty of Epidemiology and Population Health (2013-2019), he combines mathematical, statistical, and economic models to inform public health policy. His part-time role at the Health Protection Agency (HPA) since 2008 underscores his policy advisory contributions. PhD in Infectious Disease Modelling (Imperial College, 1994) MSc in Health Economics (University of York, 1995) BSc in Biology (Imperial College, 1989) His research focuses on understanding disease transmission and optimizing control strategies. He has pioneered methods integrating social contact surveys , participatory surveillance (e.g., Influenzanet), and economic analysis to evaluate vaccines and interventions. Recent work includes SARS-CoV-2 dynamics , Ebola spatial forecasting , and typhoid vaccine prioritization . His 15 most recent publications highlight social contact patterns (Reconnect, CoMix studies), vaccine impact (HPV, typhoid), and real-time outbreak analytics (Ebola, cholera). Key trends include digital epidemiology , behavioral surveillance , and cross-country modeling for global health. Knighthood (2024) for services to epidemiology Weldon Memorial Prize (2022) for biostatistics contributions FMedSci (2018) for medical science excellence OBE (2016) for public service As an educator, he teaches "Modelling and the Dynamics of Infectious Diseases" and co-organizes "Pandemics: Emergence, Spread and Response" . Current grants include National Institute for Health and Care Research projects on post-pandemic surveillance and Bill & Melinda Gates Foundation funding for polio eradication. He leads collaborations with the Centre for Mathematical Modelling of Infectious Diseases , Vaccine Centre , and Health in Humanitarian Crises Centre , while advising UK and WHO committees on zoonotic influenza , variants , and testing programs .

Ninette PilegaardView profile

Professor

• Transportation Policy
• Road Charging Systems
• Bicycle Infrastructure
• +6 more

Ninette Pilegaard is a Professor and serves as Deputy Head of Division and Head of Section for Transport Policy at the Department of Technology, Management and Economics, Technical University of Denmark (DTU). Her academic career spans multiple research domains with significant contributions to transportation policy and economics. Her research interests focus on transportation policy analysis with particular expertise in: Road charging systems and pricing mechanisms Bicycle infrastructure and safety analysis Commuting behavior and accessibility impacts Car ownership and usage patterns Relationship between transportation accessibility and labor market outcomes Dr. Pilegaard's scholarly work demonstrates a strong empirical approach combining transportation engineering with economic analysis. Her recent publications reveal a consistent focus on evidence-based policy evaluation, particularly in the Danish context. She frequently employs quasi-natural experimental methods to assess transportation policy impacts, with particular attention to road pricing, cycling infrastructure, and the economic implications of transportation systems. Her research has been supported by major funding bodies including Innovation Fund Denmark and Forskningsrådsfinansiering, and has resulted in publications in high-impact transportation journals such as Transportation Research Parts A and D, and Journal of Safety Research. As an academic supervisor, Dr. Pilegaard has served as Main Supervisor for PhD projects, including the 'Productivity and agglomeration' project. She has been actively involved in numerous research collaborations both within DTU and with external partners. Her laboratory work focuses on transportation data analysis, particularly utilizing Danish transportation datasets to examine policy impacts. She has developed expertise in analyzing hospital data for traffic safety research and has contributed to methodologies for assessing infrastructure effects on traffic accidents.

Peter H. VerburgView profile

Professor

• Land Use Analysis
• Spatial Modelling
• Ecosystem Services
• +4 more

Peter H. Verburg is a Full Professor of Environmental Spatial Analysis at the Institute for Environmental Studies (IVM) , Vrije Universiteit Amsterdam, leading the Environmental Geography group. He has held this position since 2010 and previously served as an Assistant Professor at Wageningen University (2003–2010) and Senior Researcher at Alterra (2009–2010). His research focuses on land use analysis, spatial modeling, and interdisciplinary environmental studies. Education: PhD in Land Use Modelling, Wageningen University (2000) MSc in Physical Geography, Wageningen University (1996) Key Research Interests: Dr. Verburg is renowned for developing the globally used CLUE land-use modeling framework. His work integrates methods from social sciences, econometrics, and earth sciences to analyze land-use patterns and policies. He actively contributes to EU projects on sustainable urban planning, climate adaptation, and ecosystem services. Current roles include co-Editor-in-Chief of Landscape and Urban Planning , member of the Earth Commission, and Science-Policy Interface member of UNCCD. Professional Activities: Former Chair of Global Land Programme (Future Earth) Lead researcher in multiple EU initiatives (e.g., BrightspotsCSA, TURAS) Organized workshops on land-use modeling and ecosystem services Awards: Highly Cited Researcher (2018, Web of Science top 1%) Research and Collaboration: He has published over 415 peer-reviewed articles and supervised 38 PhD theses. His projects span land-use modeling in China, Central Asia, and the Mekong region. Collaborations include UN agencies, European research networks, and global sustainability initiatives.

Søren Munch KristiansenView profile

Associate Professor

• Geoarchaeology
• Soil Science
• Groundwater
• +7 more

Søren Munch Kristiansen is an Associate Professor in the Department of Geoscience at Aarhus University, Faculty of Natural Sciences. His interdisciplinary research bridges geoscience and archaeology, focusing on the complex interactions between soil, water, and human societies across time. He is actively engaged in transdisciplinary projects involving geoarchaeology, groundwater, and public health. Research Interests: His work centers on how soil and groundwater have shaped human prehistory and continue to influence modern life. Key areas include safe drinking water from a lifelong perspective, geoarchaeological prospection, Viking Age settlements, and the application of geophysical and geochemical methods in archaeological contexts. He is particularly interested in novel, interdisciplinary methodologies. Recent Research Trends: His recent publications reveal a strong focus on integrating geophysical data (e.g., GPR, borehole databases) with archaeological interpretation, especially in 3D urban modeling and landscape change. Themes include Viking Age sites, interglacial deposits, and anthropogenic soil modifications. His work increasingly employs machine learning and large-scale data synthesis. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: While specific students are not listed, he leads and participates in multiple funded research projects, indicating an active supervisory role. His grants span from 2016 to 2024, including projects like TITAN, SAGA, and 'Fingerprinting displaced molecular substances,' highlighting sustained funding and leadership in interdisciplinary geoscience-archaeology research. Labs and Teams: He is involved in collaborative networks such as the Soil Science & Archaeo-geophysics Alliance (SAGA), suggesting leadership in interdisciplinary research teams. His work often involves multi-proxy analyses and international collaborations, particularly in Scandinavian archaeological geophysics.

Jesper Rindom JensenView profile

Associate Professor

• Audio Signal Processing
• Artificial Intelligence
• Speech Enhancement
• +12 more

Jesper Rindom Jensen is an Associate Professor in the Department of Electronic Systems at Aalborg University, Denmark, under the Technical Faculty of IT and Design. He is the Head of the Audio Analysis Lab, a leading research group in audio signal processing, since 2023. His work bridges theoretical signal processing and practical applications in artificial intelligence and audio systems. Full Name: Jesper Rindom Jensen Institution: Aalborg University School: The Technical Faculty of IT and Design Department: Department of Electronic Systems Research Lab: Audio Analysis Lab Email: jrj@es.aau.dk Office: Fredrik Bajers Vej 7B, B5-206, 9220 Aalborg Øst, Denmark Education: M.Sc. in Electronic Systems, Aalborg University (cum laude, 2009) Ph.D. in Signal Processing, Aalborg University (2012) Research Interests: Jesper Rindom Jensen's research centers on audio signal processing, with a strong emphasis on artificial intelligence, speech enhancement, noise reduction, beamforming, and multichannel systems. His work applies to diverse domains including robot and drone audition, spatial audio, and active noise control. He develops novel filtering techniques, including variable span linear filters and harmonic beamformers, to improve speech quality and intelligibility in noisy and reverberant environments. Publication Trends: His recent publications (2023–2025) show a strong trend toward integrating deep learning with classical signal processing, particularly in direction-of-arrival estimation, underwater acoustics, and robust multichannel systems. There is a clear focus on real-world applications, including sound zone control, active noise control, and limited-data scenarios using knowledge distillation. His work consistently emphasizes robustness, efficiency, and practical deployment. Scientific Awards and Recognition: AAU Talent for emerging research leaders Recipient of a competitive postdoc grant from the Danish Independent Research Council Advising and Grants: Jesper has supervised multiple PhD and master’s students, including Nørholm, Karimian-Azari, Zhang, and Wang. He has led significant research projects such as 'Sound Processing for Robots and Drones' (2018–2020) and participated in others related to joint audio-visual tracking and speech enhancement. His research has been supported by national funding bodies, reflecting its innovation and impact. Labs and Teams: He is a founding and core member of the Audio Analysis Lab at Aalborg University, which focuses on cutting-edge audio signal processing and AI-driven solutions. The lab fosters interdisciplinary collaboration and has produced numerous publications, datasets, and real-world applications. Jensen’s leadership since 2023 underscores his pivotal role in shaping the lab’s research direction.

Kunihiko KanekoView profile

Professor

• Theoretical Biophysics
• Complex Systems
• Chaos
• +6 more

Kunihiko Kaneko is a Professor at the Niels Bohr Institute, University of Copenhagen, with a distinguished career in theoretical biophysics and complex systems. He received his PhD and MSc in Physics from the University of Tokyo, and has held leadership roles at the Universal Biology Institute and Center for Complex Systems Biology. PhD Physics, 1984 - University of Tokyo MSc Physics, 1981 - University of Tokyo His research spans five primary areas: Universal Biology, Evolutionary Constraints, Ecosystem Dynamics, Neural Cognition, and Universal Anthropology. He has published extensively on multi-level consistency principles, dimensional reduction in biological systems, and reciprocity between robustness and plasticity across scales. Recent publications show strong focus on microbial ecosystems (2025), evolutionary game theory (2025), neural modular architectures (2024), and dimensional reduction in cellular systems (2024). His work bridges physics and biology through dynamical systems theory applied to diverse phenomena from protocells to human societies.

Dorte HammershøiView profile

Professor

• Acoustics
• Hearing Science
• Audio Engineering
• +5 more

Dorte Hammershøi is a Professor in the Department of Electronic Systems at The Technical Faculty of IT and Design, Aalborg University, Denmark. Her research focuses on acoustics, sound engineering, and hearing science with significant contributions to human hearing, ear canal acoustics, and audio technology applications. Her research interests include: Temporary Threshold Shift and frequency resolution in human hearing Ear canal acoustics and sound pressure level measurement Distortion Product Otoacoustic Emission (DPOAE) analysis Impulse response and acoustic impedance studies Hearing aid technology and rehabilitation methodologies Virtual reality audio interfaces and accessibility applications Professor Hammershøi's recent publications demonstrate a strong clinical-engineering interdisciplinary approach, bridging theoretical acoustics with practical hearing rehabilitation applications. Her work on hearing aid fitting methodologies, occupational noise exposure effects, and virtual reality audio interfaces shows consistent innovation in translating engineering principles to clinical practice. The research shows particular attention to individualized hearing solutions and accessibility technologies. Her scientific contributions have been recognized with: Dansk Lydpris 2020 (awarded November 17, 2021) Ambassadør for Aalborg (awarded September 15, 2004) Professor Hammershøi has supervised 5 PhD students and led numerous research projects including the ongoing "Audio Only VR for Blind Gamers" project (2024-2028) funded by the Independent Research Foundation of Denmark, and the completed "BEAR: Better Hearing Rehabilitation" project (2016-2022). Her research has attracted significant media attention with 110 press/media appearances discussing hearing damage prevention, tinnitus, and public health implications of noise exposure. She maintains active professional engagement through committee memberships (46 documented activities), international collaborations, and contributions to clinical practice guidelines. Her work continues to influence both academic research and practical applications in hearing science and audio engineering.

• Data Mining & Machine Learning
• Network Science & Complex Systems
• Artificial Intelligence & Society
• +2 more

Tina Eliassi-Rad is Professor and the Inaugural Joseph E. Aoun Chair at Khoury College of Computer Sciences, Northeastern University in Boston. She serves as Core Faculty at the Network Science Institute and holds External Faculty positions at both the Santa Fe Institute and Vermont Complex Systems Institute. Additionally, she maintains Affiliated Faculty status across six Northeastern University institutes including the NULab for Digital Humanities and Computational Social Science, Global Resilience Institute, Cybersecurity and Privacy Institute, Institute for Experiential AI, and Internet Democracy Initiative. Her research spans: Data Mining & Machine Learning Network Science & Complex Systems Artificial Intelligence & Society She leads two major research initiatives: Trustworthy Network Science , which addresses explainability, transparency, stability, and robustness in network science ML algorithms; and Just Machine Learning , which examines broader complex systems where ML operates to understand and mitigate risks. Her work bridges theoretical foundations with societal applications. Dr. Eliassi-Rad's publication record demonstrates consistent focus on applying network science to critical societal challenges. Her recent research examines pandemic mobility patterns and cybersecurity threats using network-based approaches that combine epidemiological modeling with network analysis techniques. She actively mentors doctoral students through her RADLAB research group, currently advising PhD candidates Wan He (Network Science) and David Liu (Computer Science), along with PhD students Zohair Shafi and Samantha Dies (Computer Science). Her research has secured funding from prestigious organizations including the National Science Foundation, Department of Defense, Defense Advanced Research Projects Agency, Army Research Lab, and others. As leader of RADLAB, she directs research at the intersection of data science, network analysis, and societal impact, with particular emphasis on ensuring that technical advances in AI and network science serve societal needs responsibly and equitably.

Christian Geisler AsmussenView profile

Professor

• Organization and Expansion of Multinational Firms
• Internalization Theory
• Game Theory
• +3 more

Christian Geisler Asmussen serves as Professor of Strategic and International Management at Copenhagen Business School's Department of Strategy and Innovation. His research investigates competitive advantage, globalization, and multinational enterprise organization through formal modeling, game theory, and theories of the firm, with current emphasis on foreign location choices and global corporate social responsibility. Appointed after earning his PhD from CBS in 2007, he maintains active contributions to international business scholarship and executive education. His research portfolio centers on: Organization and Expansion of Multinational Firms Internalization Theory Game Theory applications Corporate Social Responsibility frameworks Foreign location decision-making Global CSR implementation challenges Analysis of his recent publications reveals a strategic evolution toward integrating sustainability into multinational operations, with 2024-2025 works examining global cities' role in reducing liability of foreignness, modular value chain design, and CSR orchestration mechanisms. His scholarship consistently applies game-theoretic approaches to multinational strategy while addressing emerging challenges in global governance and ethical operations. Recognition for his scholarly impact includes: Barry M. Richman best dissertation award Haynes Prize Tietgen Prize JIBS Decade Award Professor Asmussen supervises Cand.Merc. Master Theses and CEMS Business Projects while teaching Strategy, Contemporary Issues in International Business, Macroeconomics, and PhD-level Strategic Management. His external engagements include providing Strategic Risk Management training for Saxo Bank (2024) and serving as external accreditor for Cyprus' Higher Education Quality Assurance Agency (2024-2025).

• Human-Computer Interaction (HCI)
• Haptics
• Augmented Reality
• +3 more

Hasti Seifi is an Affiliated Associate Professor at the Department of Computer Science (DIKU), University of Copenhagen, specializing in Human-Centred Computing. Her research focuses on haptics, augmented reality, and human-robot interaction. Institution: University of Copenhagen Department: Department of Computer Science Section: Human-Centred Computing Research interests include: Designing innovative haptic feedback systems Exploring tactile experiences in augmented reality Developing human-robot interaction frameworks Creating generative models for haptic design Investigating social touch technologies Advancing mid-air and ultrasound haptic interfaces Recent publications demonstrate a strong focus on: Generative haptic modeling for AR/XR systems Human-robot interaction dynamics Text input in extended reality environments Visual-haptic multisensory integration Ultrasound mid-air haptic design tools Social touch technologies

Ankit KariryaaView profile

Assistant Professor

• Machine Learning
• Remote Sensing
• Geospatial Analysis
• +4 more

Ankit Kariryaa is a Tenure Track Assistant Professor at the Department of Computer Science and Department of Geosciences and Natural Resource Management , University of Copenhagen. His work bridges Machine Learning and Environmental Informatics , focusing on remote sensing, geospatial analysis, and ecological modeling. University of Copenhagen, Denmark Machine Learning Section, Department of Computer Science Geography, Land, Environment and Society, Department of Geosciences Kariryaa specializes in applying deep learning and computer vision to environmental challenges. His research includes: Automated tree detection and biomass estimation via satellite imagery Multi-modal geospatial representation learning Monitoring farmland tree decline and carbon sequestration potential Agroforestry system mapping using AI Developing AI tools for climate policy and sustainability Recent work trends show a focus on quantum-inspired machine learning , environmental monitoring , and cross-cultural AI applications . His 15 most recent publications span topics in remote sensing , ecological modeling , and AI ethics , with methods ranging from neural networks to tensor-based learning. He collaborates across disciplines, notably with researchers in ecology , climate science , and quantum computing . His outreach includes seminars on AI in agroforestry and ecosystem management , while his team contributes to global tree resource databases like TreeSense.