Find Academic Supervisors

Karen la CourView profile

Professor

• Palliative Care
• Cancer Rehabilitation
• Occupational Therapy
• +5 more

Karen la Cour is a Professor at the Department of Public Health , University of Southern Denmark (SDU) , leading the Research Unit for User Perspectives & Community-based Interventions . She holds a PhD from Karolinska Institutet (2008) and an MSc in Occupational Therapy from Tufts University (1991) . Her career spans roles as Head of Research Groups , Affiliated Professor at Suunaas Hospital, Norway , and Research Director at REHPA . Academic Degrees: PhD (Karolinska Institutet), MSc (Tufts University) Current Role: Professor, SDU; Focus on community-based cancer rehabilitation and palliative care Research Interests center on coordination of rehabilitation and palliative care , advanced cancer patient quality of life , occupational therapy interventions , and community-based healthcare models . Her work emphasizes social equality , home-life adaptation , and co-production with patients and relatives . Selected Articles highlight her contributions to advanced cancer care , existential support programs , and resource-oriented interventions . Recent studies focus on virtual rehabilitation for dementia , young adult cancer survivors , and environmental restorative potential in palliative settings. Scientific Awards include the Jeppe Juhl Jensen Endowment Grant (2019) , European Cancer Rehabilitation Symposium Poster Prize (2016) , Ropox Prize (2015) , and a Fulbright Scholarship (1989) . Supervision involves mentoring PhD and Master’s students , with seven PhD graduates and four current students. Her projects include YATAC (young adult cancer survivors), COMPAS (socioeconomically disadvantaged cancer patients), and BALanSE (balance and quality of life in cancer care).

Yvonne DittrichView profile

Professor

• Cooperative and Human Aspects of Software Engineering
• Continuous Software Engineering (CSE)
• Use Orientation in Software Engineering
• +7 more

Yvonne Dittrich is a Professor at the IT University of Copenhagen (ITU), affiliated with the Software Development Group. She holds an adjunct professorship at IIT Mandi, India, and has held roles at institutions in Sweden, Canada, and the U.S. Her research focuses on cooperative and human aspects of software engineering, including Continuous Software Engineering (CSE), use-oriented design, and end-user development (EUD). She has led projects like SAIA-Farm (sustainable irrigation via satellite analytics) and contributed to frameworks like 'Cooperative Method Development.' **Education**: PhD in Computer Science (Hamburg University, 1997), M.Sc. from TU Darmstadt. **Research Interests**: She pioneers methods bridging software engineering with human-centric practices, emphasizing sustainability and participatory design. Her work addresses challenges in global software development, agile methodologies, and software ecosystems. **Awards**: TAT-Förderpreis (1989), Best Paper Award (2018), Distinguished Reviewer recognition (2018). **Grants & Leadership**: Led projects funded by the Danish Innovation Fund, EU, and others. Served on editorial boards for IEEE Transactions on Software Engineering and Journal of Systems and Software. **Labs/Teams**: Collaborates with labs in Denmark, India, and Canada on interdisciplinary projects, including smart irrigation systems and fintech ESG data commons.

• Image Registration
• Image Segmentation
• Image Classification
• +6 more

Sune Darkner is a Professor at the Department of Computer Science (DIKU) at the University of Copenhagen, specializing in the Image Analysis, Computational Modelling, and Geometry research section. His work focuses on medical image processing with particular emphasis on neuro-imaging data including MRI and PET scans. His primary research interests include Image Registration, Segmentation and Classification of Medical Image Data , with a specific focus on estimation of image similarity as his main research interest. Darkner strongly believes that the implementation of image processing algorithms should be thoroughly tested and reflect the theoretical properties as accurately as possible. His work primarily centers on neuro-imaging data such as MRI and PET. His recent publications (2024-2025) reveal a strong focus on medical image analysis, with particular emphasis on tumor volume delineation, deformable image registration with physics constraints, and applications of deep learning in medical imaging. His work spans both theoretical foundations of image processing and practical clinical applications. Darkner previously held a Post Doc position at the Technical University of Denmark from February 2009 to January 2010, demonstrating his longstanding engagement with image analysis research in the Danish academic community.

Peter SestoftView profile

Professor

• Programming Languages
• Software Development
• Parallel Programming
• +4 more

Peter Sestoft is a Professor at the IT University of Copenhagen (ITU), leading the Computer Science Department since 2017. His primary roles include academic leadership, research in programming languages and software engineering, and teaching. He holds a PhD in Computer Science from the University of Copenhagen (1991) and has held academic positions at institutions like the Royal Veterinary and Agricultural University and the Technical University of Denmark before joining ITU in 1999. His research focuses on programming languages, functional and managed object-oriented languages, parallel programming, compilers, and spreadsheet implementation technologies. He has developed influential tools like the C5 Generic Collection Library for C# and Moscow ML, a Standard ML implementation. His work on Funcalc and Corecalc advanced spreadsheet technology with user-defined functions and efficient recalculation algorithms. Key contributions include over 30 publications, including books on programming language concepts and Java/C# syntax. He has led major research projects such as 'Popular Parallel Programming' (P3) and 'Probabli' for actuarial calculations. His academic service includes roles on national grant committees and international conference organizing committees. Notable advising includes PhD students like Andrzej Wasowski (ITU Professor) and David Christiansen (Director of Haskell Foundation). His work has been recognized through grants exceeding 25 million DKK and collaborations with institutions like Microsoft Research and Harvard University.

Peyman Afzali GorouhView profile

Researcher

• Power Engineering
• Smart Grids
• Renewable Energy Systems
• +5 more

Peyman Afzali Gorouh is a Postdoctoral Researcher in the Applied Power Electronic Systems group within the Faculty of Engineering and Science at Aalborg University, Denmark. His research focuses on developing innovative models for energy communities, smart grids, and renewable energy integration. Dr. Afzali's research interests span power engineering, smart grid technologies, renewable energy systems, and energy communities. His work particularly emphasizes prosumer economics, peer-to-peer energy trading, risk modeling in power systems, and energy democracy frameworks. He has developed novel approaches for optimizing energy communities while considering socio-economic-environmental factors, demand response, and uncertainty management. His recent publications (2020-2024) demonstrate a consistent focus on energy community modeling, with particular emphasis on peer-to-peer trading mechanisms, risk-constrained optimization, and multi-objective planning. His work bridges technical power system challenges with socio-economic considerations, creating integrated models that address both engineering and human aspects of modern energy systems. Dr. Afzali maintains an active research profile with numerous publications in high-impact journals including IEEE Transactions on Engineering Management, Energy and Buildings, Applied Sciences, and Sustainable Cities and Society. His research shows strong international collaboration, particularly with researchers from Iranian institutions.

Kaare MikkelsenView profile

Associate Professor

• Biomedical Signal Processing
• Sleep Science
• Wearable EEG Systems
• +3 more

Kaare Mikkelsen is an Associate Professor in the Department of Electrical and Computer Engineering at the Faculty of Technical Sciences, Aarhus University, specializing in biomedical engineering with a focus on ear-EEG technology for sleep and auditory neuroscience applications. His research pioneers non-invasive monitoring systems using ear-centered EEG sensors, developing machine learning frameworks for automatic sleep staging and auditory attention decoding. Key contributions include personalized sleep scoring algorithms that adapt to individual physiological variations and deep learning models for decoding brain responses to natural speech, enabling applications in hearing assistance and brain-computer interfaces. Recent publications (2022-2025) demonstrate a cohesive research trajectory centered on overcoming real-world challenges in wearable EEG: improving long-term reliability through electrode configuration studies, developing standardized data pipelines, and validating ear-EEG against clinical polysomnography. His work bridges engineering innovation with clinical sleep medicine, emphasizing at-home deployment and user-specific adaptation. Dr. Mikkelsen leads significant research projects including: Event based attention detection (2021-2024) Ear-EEG sleep monitoring (2015-present) His work receives funding from Danish research councils and involves collaborations with clinical partners for validation studies in naturalistic settings. As part of Aarhus University's Biomedical Engineering group, he utilizes advanced laboratories for sensor development and signal processing, contributing to the department's strategic focus on healthcare technology innovation.

Peter MayerView profile

Assistant Professor

• Cybersecurity
• User-centred Security
• User Authentication
• +9 more

Peter Mayer is an Assistant Professor at the University of Southern Denmark's Department of Mathematics and Computer Science. His research focuses on end-user viable security and privacy solutions, emphasizing usability for diverse audiences, including laypersons, administrators, and developers. He coordinates the Human and Societal Factors research group within the Helmholtz Association's Engineering Secure Systems initiative at Karlsruhe Institute of Technology (KIT), where he is a KASTEL Fellow. Research Areas: User-Centred Security Email and Password Security Security Awareness and Training Cybersecurity in SMEs Phishing Detection and Prevention Key Projects: Cybersecurity and Business Continuity in Danish SMEs (Industriensfond-funded) INSPECTION: Website Hacks in Fake Shops Mapping the Cybersecurity Landscape in Danish SMEs His work bridges technical security mechanisms with human-centric design, addressing challenges like phishing mitigation, password manager adoption, and cross-cultural privacy awareness. He collaborates internationally and publishes extensively in top venues like CHI and CCS.

Martin Bach JensenView profile

Professor

• General Practice
• Musculoskeletal Medicine
• Medical Imaging (Ultrasound)
• +5 more

Martin Bach Jensen is a Professor at the Center for General Medicine within Aalborg University's Faculty of Health Sciences. With a parallel clinical and academic career spanning decades, his work bridges medical practice and research innovation. Current affiliations: Aalborg University, Faculty of Health Sciences, Center for General Medicine Expertise: Musculoskeletal disorders, Artificial Intelligence in healthcare, Ultrasound applications Research Focus : • Technology integration in general practice (AI, ultrasound) • Musculoskeletal pain management in primary care • Clinical decision support systems development • Medical education innovation Recent Work Trends : His 15 most recent publications reveal deep engagement with AI applications in diabetic retinopathy screening Ultrasound training programs for GPs Adolescent knee pain management tools Registry research methodology Academic Leadership : Active in Principal investigator roles in AI and ultrasound projects Co-investigator in musculoskeletal trials Medical curriculum development Teaching & Supervision : Continuous medical educator since medical school days, mentoring Medical students Physiotherapy candidates General practitioners PhD supervisees With a focus on technology-enhanced clinical education and course development.

Ali AdjorluView profile

Assistant Professor

• Virtual Reality (VR)
• Autism Spectrum Disorder (ASD)
• Educational Technology
• +4 more

Ali Adjorlu is an Assistant Professor at Aalborg University's Department of Architecture, Design and Media Technology. His research focuses on innovative applications of Virtual Reality (VR) to support marginalized populations, particularly children with Autism Spectrum Disorder (ASD), hearing impairments, and social anxiety. He leads the Multisensory Experience Laboratory and collaborates on interdisciplinary projects such as the GAMESS initiative, which develops game-based learning tools for social skills training in ASD education. His work bridges technology, education, and healthcare, emphasizing accessibility and user-centric design. Key collaborations include: Co-supervision of the Haptic Feedback for Hearing Impaired PhD project (2022–2025) Leadership in the GAMESS project (2022–2024), addressing ASD social skills through gamified VR Partnerships with Cirkus Summarum and Danish National Children’s Choir for inclusive VR applications Research interests include: VR interventions for ASD life skill training (e.g., public transportation, communication) Music therapy in immersive environments Hearing conservation and auditory training for cochlear implant users Accessibility frameworks for neurodiverse and disabled populations His publications highlight VR's potential in education, healthcare, and social inclusion, with notable contributions to conferences like IEEE VR and SMC. He actively engages with public media to disseminate research outcomes, appearing in articles about VR therapy for autism and hearing impairment interventions. Adjorlu’s work also explores: VR-based empathy training for parents of hearing-impaired children Collaborative music interfaces for ALS patients Remote UX evaluation methodologies for assistive technologies His research has led to practical tools like Earnormous (a hearing health VR game) and DecibelDefender (concert safety training), demonstrating real-world impact. He emphasizes iterative design processes involving end-users to ensure interventions are both effective and accessible.

Marianne LykkeView profile

Professor

• Information Architecture
• Knowledge Organization Systems
• User-Centered Design
• +3 more

Marianne Lykke is a Professor and Research Section Leader in the Department of Communication and Psychology at Aalborg University, within The Faculty of Social Sciences and Humanities. She specializes in Information Architecture and Knowledge Organization Systems, emphasizing user-centered design methodologies and their application in professional contexts. Education: PhD in Communication and Informatics from Åbo Akademi University (2002). Research focuses on user practice studies, design methodologies, and societal impact measurement through taxonomies. Key areas include science communication in museums and digital tools for environmental education. Research interests span knowledge organization systems, user-centered design, and societal impact assessment. Her work bridges academic research with practical applications in public and private sectors. Notable projects include developing taxonomies for societal problem-solving and virtual role model platforms for education. Received the ECIR 2020 Honorable Mention Award and a 2014 award for innovative teaching using LEGO robots. Active in consultancy, conference organization, and public speaking on topics like information search behavior and open research evaluation. Leadership roles include directing the Human-centered Science and Digital Technology research group and managing the Humanomics Research Group and Purposeful Technology Lab. Supervised 5 PhD students focusing on information systems and design methodologies. Grants and projects include DEFF OPERA (2018-2020) and recent initiatives like Venner med Naturen (2024-2025), exploring digital tools for nature engagement. Her work aligns with UN SDG 4 (Quality Education) through educational technology and science outreach.

Thiago Rocha SilvaView profile

Associate Professor

• Software Technology
• End-User Development
• Domain-Specific Languages
• +12 more

Thiago Rocha Silva is an Associate Professor in the Software Engineering group at the Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU). His work bridges software engineering, human-robot interaction, and end-user development, with a focus on making robotic systems accessible through intuitive programming interfaces. University: University of Southern Denmark Institute: Maersk Mc-Kinney Moller Institute Department: Software Engineering Academic Rank: Associate Professor His research interests are centered on end-user development , domain-specific languages , and interactive systems , particularly in the context of robotics and software engineering. He investigates how users can program robots without deep technical expertise, using gesture-based interfaces, visual-textual synchronization, and low-code environments. The recent publications highlight a strong trend in human-robot collaboration , focusing on user-centric design, behavior modeling, and programming frameworks that empower non-experts. These works span robotics, software engineering, and human-computer interaction, often employing participatory and user-centered methodologies. Thiago actively leads and contributes to major research initiatives, including projects on sustainable human-robot synergy in extended reality and low-code programming for mobile robotics. He supervises students and teaches courses such as End-User Development and Software Engineering and Organization . He is involved in interdisciplinary collaborations, particularly in projects integrating AI, robotics, and Earth observation data. His work emphasizes practical applications in smart societies, logistics, and physical training.

• Software Engineering
• Process Modeling
• Business Process Management
• +5 more

Thomas Troels Hildebrandt is a Professor in the Department of Computer Science at the University of Copenhagen, where he heads the Software, Data, People & Society research section. His work focuses on developing reliable and flexible software systems that adapt to user needs and legislative changes, with applications in digital law, workflows, and business processes. His educational background includes: PhD in Computer Science from Aarhus University (awarded February 23, 2000) Professor Hildebrandt's research spans Software Engineering , Process Modeling , and Business Process Management , with a focus on declarative approaches like Dynamic Condition Response (DCR) graphs. His work integrates formal methods to ensure system reliability in contexts ranging from smart contracts to public governance. He actively explores societal implications of AI, advocating for transparency and user-centered design in digital systems. Recent publications demonstrate a strong trend toward declarative process modeling applied to smart contracts and public governance . Key developments include DCR graphs for dynamic behavior modeling, cross-chain business logic monitoring, and digital compliance frameworks. His interdisciplinary approach bridges computer science with real-world societal challenges, particularly in adapting systems to evolving legislation and user requirements. No specific scientific awards are mentioned in the provided information. Professor Hildebrandt leads interdisciplinary research projects and serves on advisory boards for digitalization and AI. His work has fostered industry collaboration, including founding DCR Solutions based on his research. He acts as an independent consultant and speaker in digital transformation, with recent projects focusing on blockchain integration and public sector AI ethics. He directs the Software, Data, People & Society research section, which develops human-centered methods for adaptable digital systems. Current initiatives include DCR graph applications for GDPR compliance, smart contract security, and transparent AI in public services, with strong industry and government partnerships.

Hao LiView profile

Research Fellow

• Topology Optimization
• Mechanical Engineering
• Thermal Systems
• +2 more

Hao Li is a MSCA Postdoc Fellow and Visiting Scholar at LIP6 , affiliated with the University of Southern Denmark in the Department of Mechanical Engineering . His research focuses on advanced computational methods for topology optimization in thermal, fluid, and structural engineering systems. Education: Not explicitly stated in the provided text. Current Projects: Leading EU-funded research on heat exchanger design using multiscale models and machine learning. Dr. Li's work spans multiscale topology optimization, level-set methods, and fluid-structure interaction, with applications in microchannel cooling, compliant mechanisms, and biodegradable composites. His recent publications highlight advancements in 3D conjugate heat transfer, adaptive meshing, and eigenfrequency maximization. The trends in his research output (2017–2025) emphasize thermal-fluid systems , high-resolution structural optimization , and manufacturable composite designs . Notable subfields include triply periodic minimal surfaces for cooling channels, nonlinear buckling analysis, and phasor-based dehomogenization techniques. Teaching & Supervision: Currently supervising projects on topology optimization frameworks for heat sinks and high heat flux cooling. His past projects (2018–2023) include research on piezoelectric transducers and thermal-fluid system design. Labs & Collaborations: Collaborates with institutions in Japan and France, focusing on experimental validation and industrial applications. His network includes partnerships with researchers in structural mechanics, computational fluid dynamics, and additive manufacturing.

Sebastian Bjerregaard SimonsenView profile

Researcher

• Glaciology
• Remote Sensing
• Cryosphere
• +3 more

Dr. Sebastian Bjerregaard Simonsen is a Senior Researcher at DTU Space, Technical University of Denmark, specializing in glaciology, remote sensing data assimilation, and cryospheric dynamics. His work leverages satellite altimetry (CryoSat-2, Sentinel-3) to quantify ice sheet changes, with a focus on Greenland and Antarctic regions. Research Themes: Ice sheet surface processes, meltwater dynamics, firn compaction, climate modeling, and subglacial hydrology. Supervision: Major supervisor for PhD candidates Astrid Puggaard (2022–2026), Nicolaj Hansen (2019–2023), and Nicolaj H. Andersen (2017–2023). Collaborations: Partners with European Space Agency, PROMICE project, and international teams studying ice sheets. Notable Contributions: Development of Greenland gravitational mass balance datasets (2024), editorial work at Geosciences (2017–2018), and field campaigns in Greenland and Svalbard totaling over a year in the high Arctic. His research aligns with UN Sustainable Development Goals, particularly SDG 13 (Climate Action). Recent publications emphasize radar altimetry, surface roughness, and spatiotemporal density distribution in ice sheets.

Amanda PaustView profile

Researcher

• Social Inequality in Health
• Public Health
• Intervention Research
• +3 more

Amanda Paust is a Researcher at the Department of Public Health , Aarhus University’s Faculty of Health , focusing on social inequality in health with emphasis on general practice and marginalized populations. She leads projects like Escape from Inequity in Health (gamification for structural competence) and Deep End Denmark (user-driven research). Her teaching spans public health, health inequality, and complex interventions across programs. Education: PhD in Social Inequality in Medical Treatment (Aarhus University, 2024) Research interests include healthcare disparities, medication optimization, and innovative interventions for vulnerable groups. Her 2021-2025 publications address anticoagulant therapy equity, multimorbidity costs, and temporal barriers in chronic care. She employs mixed methods and collaborates with general practitioners serving complex communities. Key projects: SPARK (social prescribing) ReMoTe (remote assessment during pandemic) MOSAIC (medication optimization) Her work receives attention through 15 news outlets and 9 Mendeley readers, with funding from Innovationsfonden (2020). She teaches courses like Global Health (2019-2024) and Inequality in Health (2022).