جستجوی استاد راهنمای دانشگاهی

• Image Registration
• Image Segmentation
• Image Classification
• +۶ مورد دیگر

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.

Egon Bech Hansenمشاهده پروفایل

استاد

• Food Science
• Gut Microbiome
• Lactic Acid Bacteria
• +۱۲ مورد دیگر

Egon Bech Hansen is a Professor at the National Food Institute, Technical University of Denmark (DTU), where he leads research in gut microbiology, fermented foods, and sustainable food systems. He is a member of the DTU Microbes Initiative and heads the Research Group for Gut, Microbes and Health. He holds a PhD and MSc from DTU and has previously served as Head of Department at both DTU and Aalborg University, as well as holding senior R&D and innovation roles in industry. His research focuses on food science , particularly the role of lactic acid bacteria in fermentation, plant-based dairy alternatives , gut microbiome interactions , and food safety . His work contributes to UN Sustainable Development Goals related to health and sustainable agriculture. He investigates microbial metabolism, proteolysis, antioxidant peptides, and the development of safer, more sustainable food products such as fermented fish, camel milk, and plant-dairy hybrid cheeses. The recent publications highlight a strong trend in functional food development , particularly using microbial fermentation to improve nutritional quality and sensory properties of plant-based products. There is also a focus on molecular detection methods (e.g., FRET assays), antimicrobial resistance monitoring , and industrial scalability of fermentation processes. His work bridges fundamental microbiology with applied food technology. He has received no explicitly listed scientific awards in the provided text. Egon Bech Hansen actively supervises PhD students and leads multiple research projects, including Protein rich food products from locally grown legumes , Harnessing AI to Identify Superior Strains , and SusCheese . He collaborates across disciplines with experts in food chemistry, microbiology, and nutrition. His projects often involve public-private partnerships and address real-world challenges in food sustainability and safety. He is involved in the DTU Microbes Initiative and contributes to research networks focused on gut health, microbial fermentation, and food innovation. His datasets and publications are openly accessible, supporting collaborative science.

• Computer Graphics
• Physics Based Animation
• Computer Vision
• +۱ مورد دیگر

Knud Henriksen serves as a Part-time Lecturer at the Department of Computer Science (DIKU), University of Copenhagen, within the Image Analysis, Computational Modelling and Geometry research section. His academic profile integrates teaching and research in computer graphics, physics-based animation, and computer vision, contributing to DIKU's expertise in visual computing methodologies. His educational background comprises: Elektroingeniør (Electrical Engineering) Cand. Scient (Master of Science) Ph.D. Henriksen's research focuses on Computer Graphics, Physics-Based Animation, Computer Vision, and Mathematics, with current investigations into inverse kinematics using bone representations and quaternions. His work emphasizes improving computational efficiency and realism in character animation through mathematical modeling and geometric algorithms. Analysis of his 30 publications (2002-2008) reveals consistent innovation in animation algorithms, particularly in inverse kinematics, physics simulation, and spline-based modeling. These contributions bridge theoretical computer graphics with practical applications in gaming and virtual reality, demonstrating robust solutions for 3D interaction and character rigging. No scientific awards are documented in the available information. Henriksen has supervised graduate projects including a 2008 thesis on quaternion-based inverse kinematics. While specific grant details are absent, his research aligns with DIKU's interdisciplinary approach. He operates within the Image Analysis, Computational Modelling and Geometry section, which collaborates extensively with industry on visual computing challenges.

Rikke Gadeمشاهده پروفایل

دانشیار

• Computer Vision
• Image Processing
• Robot Vision
• +۵ مورد دیگر

Rikke Gade is an Associate Professor at the Department of Architecture, Design and Media Technology within The Technical Faculty of IT and Design at Aalborg University. Her research focuses on Visual Analysis and Perception, AI for the People, and Mobility and Tracking Technologies. She has established herself as a leading researcher in computer vision applications across multiple domains including sports analytics, animal welfare, and human-computer interaction. Dr. Gade earned her PhD in Computer Vision from Aalborg University in 2015 with her dissertation "Taking the Temperature of Sports Arenas - Automatic Analysis of People." Prior to this, she completed her M.Sc. in Informatics with specialization in Vision, Graphics and Interactive Systems in 2011, and her B.Sc. in Electronic and Electrical Engineering in 2009. Her research interests span Computer Vision, Image Processing, Robot Vision, and Thermal Imaging with applications in diverse fields. She has pioneered work in using thermal imaging for sports analytics, developing systems for tracking athletes and analyzing movement patterns in sports arenas. More recently, her research has expanded into AI applications for animal welfare, particularly developing computer vision systems for detecting pain and stress in horses through facial expression analysis. Dr. Gade's publications reveal a clear progression from foundational work in thermal imaging and sports analytics toward more complex applications in healthcare, animal welfare, and smart building systems. Her most recent work shows increasing focus on ethical AI applications that serve societal needs, as evidenced by projects like "AI for the People" and research on equine pain detection. Best Paper Award at Conference CISBAT 2021 (Lausanne, Switzerland) Dr. Gade actively supervises PhD students, including Alves, J.M. on equine affective state assessment. She has secured significant research funding, including a major grant from the Independent Research Fund Denmark for developing AI systems to detect pain in horses. Her collaborative approach is evident in her involvement in multiple interdisciplinary projects spanning computer science, veterinary medicine, and building science. She leads the Visual Analysis and Perception research group at Aalborg University, focusing on practical applications of computer vision technologies. Her team works closely with industry partners on real-world implementations, particularly in sports analytics and animal welfare applications. Current projects include developing AI systems for road damage detection in collaboration with Faxe Kommune and creating advanced tracking systems for sports performance analysis.

• Public Health
• Health Services Research
• Physiotherapy
• +۴ مورد دیگر

Nanna Rolving is an Associate Professor at the Department of Health Services Research, School of Public Health, Aarhus University. Her research focuses on rehabilitation, clinical practice guidelines, and healthcare collaboration across sectors. She has led major projects on pulmonary embolism care, heart failure rehabilitation, and health literacy through video animation. Key Research Areas: Low Back Pain, Pulmonary Embolism, Cardiac Rehabilitation, Clinical Guidelines, Interprofessional Care Projects: Attend-PE (Integrated Care for Pulmonary Embolism), Patient-Driven Data Sharing, Novel Heart Failure Referral Strategies Academic Contributions: Supervised PhD research, participated in manuscript peer review, and organized national conferences.

• Movement and Learning
• Motor Neuroscience
• Physical Activity Interventions
• +۷ مورد دیگر

Jacob Wienecke is an Associate Professor in the Department of Nutrition, Exercise and Sports (NEXS) within the Faculty of Science at the University of Copenhagen. He holds multiple leadership roles including Head of Bachelor Studies in Exercise and Sports Science, Animal Lab Group Coordinator, and Coordinator of the teaching in the field of Ballgames. His academic credentials include a PhD in Neuroscience and an MSc in Human Physiology & Biology, both from the University of Copenhagen. Wienecke's research program centers on the relationship between movement and learning, investigating how physical activity influences cognitive abilities and academic performance. His work employs both field studies (primarily school-based randomized controlled trials) and laboratory experiments using EEG to measure brain activity. His research group is recognized for its creativity in developing interdisciplinary intervention studies with children and adults, and he maintains a substantial network of national and international collaborators. His recent publications demonstrate a strong focus on embodied learning approaches, physical activity interventions in school settings, and their specific effects on reading development and academic performance. Major research initiatives include ACTIVE SCHOOL, PLAYMORE (Play-based motor-cognitive training for improved reading), Basketballmathematics in the school, Math learned best when children move, and LIFESKILLS projects. Research spans both school-based interventions and laboratory experiments with EEG measurements Focus on how movement affects cognitive abilities and learning processes Specializes in developing playful, engaging intervention designs for children Wienecke teaches across multiple domains in the bachelor and master programs, including Ballgames, Basketball, Motor Learning, Neuroscience, Adapted sport and physical activity, and Talent development. He has presented his work internationally at institutions including Southern University of Denmark, University of Freiburg, and University of Alberta. His ORCID ID is 0000-0001-9786-4689, with ResearcherID P-6242-2014 and Scopus Author ID 6602410533, reflecting his substantial research output of 61 publications.

Peter Vistisenمشاهده پروفایل

دانشیار

• User-Centered Innovation
• Design Thinking
• Digital Innovation
• +۱۲ مورد دیگر

Peter Vistisen is an Associate Professor at the Department of Communication and Psychology, Faculty of Social Sciences and Humanities, Aalborg University, Denmark. His interdisciplinary work bridges information technology and the liberal arts, with a focus on user-centered innovation, digital media, and design thinking. He is affiliated with InDiMedia (Centre for Interactive Digital Media & Experience Design) and involved in the MASSHINE research initiative. His research interests include: User-centered innovation and design thinking Digital innovation and strategic design Animation and sketching as tools in the innovation process Metaverse and experience technologies AI for the People and ethical digital design Interactive digital media in everyday life His recent publications reflect a strong trend toward interdisciplinary research combining digital media, health communication, sustainability, and cultural storytelling. Key themes include the use of animation in health and climate communication, XR onboarding systems, museum metaverses, and the domestication of digital tools in everyday life. His work often involves collaborative, user-driven design and explores how emerging technologies can be made accessible and meaningful. Scientific awards include: Årets Underviser (Teacher of the Year), 2020 Årets Brøl: Best App/Mobile Website, 2014 MÆRKK Prize: Best Master’s Thesis, 2011 He actively supervises students and leads research projects in digital innovation, public engagement, and experience design. His grants and projects often involve cross-sector collaboration with healthcare, cultural institutions, and public organizations. He is involved in multiple research centers and initiatives, including InDiMedia and MASSHINE, and frequently contributes to academic conferences, workshops, and public media discussions on digital culture and design. Notable research teams and labs: InDiMedia (Centre for Interactive Digital Media & Experience Design) MASSHINE Collaborative projects with healthcare and cultural sectors

Vedrana Andersen Dahlمشاهده پروفایل

دانشیار

• Geometry Processing
• Image Analysis
• Computer Vision
• +۳ مورد دیگر

Vedrana Andersen Dahl is an Associate Professor at the Technical University of Denmark (DTU), Department of Applied Mathematics and Computer Science. Her research focuses on image analysis and geometry processing, including geometric texture analysis, deformable models, and tomographic data processing. She holds a PhD in Image Analysis and Computer Graphics from DTU (2007–2011), an MSc in IT from the IT University of Copenhagen (2005–2007), and a Diploma in Mathematics and Physics from the University of Zagreb (1992–1999). PhD: Technical University of Denmark (2007–2011) MSc: IT University of Copenhagen (2005–2007) Diploma: University of Zagreb (1992–1999) Her research interests span geometric texture analysis, deformable models, OCT data processing, and medical imaging applications. She has contributed to projects such as the Villum Experiment Grant (2022) and collaborates internationally on topics like placental tomography and fibrous composite analysis. Dahl supervises multiple PhD students in areas like medical image segmentation and X-ray imaging techniques. She has authored over 100 publications, with recent work focusing on 3D tomography, medical imaging, and machine learning applications. Her datasets, including BugNIST and STXAE, are widely used in academic and industrial research. Dahl also serves on review committees at institutions like the University of Copenhagen and University College Copenhagen.

Mathias Porsmose Clausenمشاهده پروفایل

دانشیار

• Bioimaging
• Gastrophysics
• Sustainable Food Innovation
• +۳ مورد دیگر

Mathias Porsmose Clausen is an Associate Professor at the Department of Green Technology, Faculty of Engineering, University of Southern Denmark. His research focuses on bioimaging and gastrophysics to advance sustainable, healthy, and flavorful food innovations. With expertise in molecular biophysics and advanced microscopy from institutions like the Max Planck Institute and University of Oxford, he investigates food microstructure to understand culinary transformations and functional properties. Current affiliations: SDU Food Cluster, SDU Biotechnology, SDU Climate Cluster Research areas: Quantitative optical microscopy for food analysis, membrane dynamics in food systems, sustainable food ingredient development His recent publications highlight applications of machine learning in food imaging, plant-based meat analogs, and ethical food innovations like force-feeding-free foie gras. Clausen actively contributes to EU-funded projects (FLAVOURFERM, FOODIMAR) and serves as a science communicator through media appearances and public engagement initiatives. Scientific Awards SCC Fast Track Prize (2025) Villum Grant - Villum Synergy (2023) Clausen supervises food science projects and teaches courses on biotechnological processes and food modeling. He serves as grant reviewer for Plant2Food and advisory board member for Food Innovation House.

• Neuroscience
• Metabolism
• Obesity Research
• +۴ مورد دیگر

Valdemar Brimnes Ingemann Johansen serves as a Teacher's assistant in the Department of Biology and Research Assistant in the Clemmensen Group at the University of Copenhagen. His work spans the Department of Biology (bio.ku.dk) and the Faculty of Health and Medical Sciences (sund.ku.dk), reflecting interdisciplinary research at the intersection of neuroscience and metabolism. Based at Ole Maaløes Vej 5 and Blegdamsvej 3B in Copenhagen, he maintains active research positions with dual institutional affiliations. Dr. Johansen's research focuses on neural regulation of metabolic processes, particularly brain control of energy homeostasis and obesity pharmacotherapy. His work bridges neuroscience with endocrinology, investigating how brain insulin resistance contributes to Alzheimer's pathogenesis and how exercise intensity impacts neurogenesis. His recent publications reveal deep expertise in obesity mechanisms, with particular attention to LEAP2 hormone regulation and combination therapies involving semaglutide. Analysis of his 13 research outputs (2023-2025) shows a strong trend toward translational neuroscience with clinical applications in metabolic disorders. His work spans molecular mechanisms (ZAKα Kinase structure), animal models (NOD mice studies), and human clinical implications, with increasing focus on brain-targeting anti-obesity medications. The publications demonstrate expertise across neuropharmacology, metabolic regulation, and immunometabolism. As a member of the Clemmensen Group, Dr. Johansen contributes to cutting-edge research on brain control of metabolism and obesity pharmacotherapy. His work involves both experimental approaches (mouse models, human studies) and computational analyses, reflecting a multidisciplinary research strategy that integrates neuroscience, endocrinology, and structural biology to address complex metabolic disorders.

• Athletics
• Sports Psychology
• Exercise Physiology
• +۲ مورد دیگر

Mikkel Sørensen serves as a Teaching Associate Professor within the Department of Nutrition, Exercise and Sports at the University of Copenhagen, specifically affiliated with the Sport, Individual & Society research group. His academic profile centers on sports science education and athletic performance enhancement, with contact details including telephone +4535320802 and email msorensen@nexs.ku.dk. Dr. Sørensen's research spans athletics pedagogy, sports psychology, and exercise physiology, evidenced by his authorship of multiple editions of the Danish textbook "Lærebog i Atletik" (Textbook in Athletics) and investigations into mental training methodologies. His work bridges theoretical sports science with practical coaching applications, emphasizing athlete development through evidence-based techniques. Analysis of his 11 publications (2004-2018) reveals consistent focus on athletics education, with notable expansion into physiological research demonstrated by his 2015 study on diabetes-related tendon mechanics. The output shows progressive refinement of coaching materials across editions while maintaining core emphasis on practical athletic development. No scientific awards were documented in the source material. Information regarding student supervision, research grants, or laboratory affiliations was not provided, though his teaching role suggests involvement in academic mentorship within the Sport, Individual & Society framework.

Kenny Erlebenمشاهده پروفایل

استاد

• Physics-based modeling and simulation
• Robotics Automation
• Data-driven modeling
• +۱۳ مورد دیگر

Kenny Erleben is a Professor and Head of the IMAGE research section at the Department of Computer Science, University of Copenhagen . His work integrates physics-based simulation with data-driven approaches, advancing fields like robotics, machine learning, and computer graphics. He leads a team of 10 within IMAGE, a section housing 10 faculty, 2 postdocs, and 20 PhDs, with research foci in computer vision, medical image analysis, and numerical methods. Education: PhD in Computer Science, University of Copenhagen (2005) Erleben’s research interests span physics-based modeling and simulation , robotics automation , data-driven modeling , and digital twins . His team develops numerical methods for interactive simulation, bridging real-world data with synthetic models for applications in surgical simulators and computer games. Scientific production trends include differentiable simulation pipelines, collision detection algorithms, and friction modeling. Key applications involve NVIDIA’s PhysX/Isaac engines, surgical robotics, and medical imaging. His awards include four best paper prizes, reflecting his impact on simulation and robotics. Supervision: 15 PhDs, 8 Postdocs, and 170+ theses Grants: HORIZON-RIA (€6.19M), EU MSCA-ITN RAINBOW (€4M+), and other Innovationsfond/DFF awards Erleben’s community leadership includes coordinating the Danish Academy of Digital Interactive Entertainment (DADIU) and reviewing for 300+ scientific papers. He has held roles like Deputy Head of Department (2012-2015) and Scientific Advisor at Alexandra Institute.

• Fair Machine Learning
• Federated Learning
• Graph Neural Networks
• +۳ مورد دیگر

Yijun Bian is a Postdoctoral Research Fellow at the Department of Computer Science (DIKU), University of Copenhagen, specializing in machine learning research. They are affiliated with the Machine Learning section and the SCIENCE AI Centre, focusing on theoretical and applied aspects of fair machine learning, federated learning, and adversarial robustness. Their research spans multiple domains including: Fairness-aware algorithms (HL-HGAT, FairSHAP) Federated learning security Heterogeneous graph modeling Adversarial attack analysis Ensemble learning optimization Biomedical data modeling Recent publications highlight their work on fairness evaluation, topological graph attention networks, and robustness in vision-based tasks. They actively contribute to advancing trustworthy AI systems through theoretical foundations and practical implementations.

Arlete Maria Lima Marquesمشاهده پروفایل

پژوهشگر

• Food Science
• Culinary Technology
• Plant-based Meat
• +۲ مورد دیگر

Arlete Maria Lima Marques is a Postdoctoral Researcher at the Department of Green Technology (IGT), University of Southern Denmark (SDU), with a focus on food science and culinary technology. She contributes to SDU Biotechnology through advanced research on plant-based meat analogues and sensory analysis. Research interests include food engineering, texture perception, and consumer acceptance of sustainable food products. Her work integrates instrumental texture analysis with sensory profiling, particularly for plant-based and animal-free food alternatives. Recent research explores the application of Coherent Anti-Stokes Raman Spectroscopy for food material characterization, enzymatic treatment of fat droplets, and solid fat content optimization in culinary preparations. She collaborates on projects like Advanced optical microscopy for imaging biological material in culinary preparations , which involves interdisciplinary teams across gastronomy, physics, and biotechnology.

• Fisheries Economics
• Bioeconomic Modeling
• Environmental Economics
• +۳ مورد دیگر

Ayoe Hoff is a Senior Researcher in the Department of Food and Resource Economics, Section for Environment and Natural Resources at the University of Copenhagen. With a background in physics, Hoff has transitioned to applied fisheries economics, focusing on bioeconomic modeling and fisheries management assessment since 2001. Hoff's educational background includes: Ph.D. in Physics, University of Copenhagen, 1997 Master of Science (Physics, Mathematics), University of Copenhagen, 1994 Hoff's primary research interests center on fisheries economics and bioeconomic modeling. With over two decades of experience, Hoff specializes in developing quantitative numerical bio-economic models for fisheries with emphasis on management assessment strategies. This work combines economic and biological methods to improve fisheries management, primarily through EU-funded research projects but also national initiatives. Hoff's research spans econometric analysis, modeling approaches, and policy evaluation in fisheries management, with particular focus on Danish, Nordic, and Greenlandic fisheries contexts. Recent publications demonstrate a trajectory examining small-scale fisheries viability, quota systems, sustainable yield targets, and their implications for food security. Hoff teaches and supervises in introductory microeconomics at the bachelor level (as course responsible) and in Applied Environmental and Natural Resource Economics. With 65 research outputs and 31 professional activities documented, Hoff is actively engaged in peer review for numerous journals including Aquatic Living Resources, Natural Resource Modelling, and ICES Journal of Marine Science, demonstrating strong scholarly engagement within the fisheries economics community. Hoff's work has practical applications in fisheries policy and management, with research findings referenced in policy sources and disseminated through public consultancies. The research has garnered attention across academic platforms with readership on Mendeley and mentions on social media platforms, indicating impact beyond traditional academic circles.