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Rikke Munck PetersenView profile

Associate Professor

• Landscape Architecture
• Sensory Studies
• Film and Media Mediations
• +4 more

Rikke Munck Petersen is an Associate Professor in Landscape Architecture and Sensory Conception at the University of Copenhagen's Department of Geosciences and Natural Resource Management. She leads research in sensory landscape methodologies and co-organizes the Copenhagen Landscape Lectures series as part of the 'Landscape Architecture and Urbanism' and 'Spatial Change and Planning' research groups. Her educational background includes a PhD (2010) and Cand. Arch. (2000) from the Royal Danish Academy of Fine Arts, School of Architecture, supplemented by studies at the University of Pennsylvania (1999) and Royal Agricultural University of Denmark (1998). PhD, Royal Danish Academy of Fine Arts, School of Architecture (2010) Cand. Arch., Royal Danish Academy of Fine Arts, School of Architecture (2000) Non-degree studies, University of Pennsylvania (1999) Plant use course, Royal Agricultural University of Denmark (1998) Her research pioneers sensory analysis and filmic mediations in landscape transformation, focusing on the body's sensorium, affective experience, and performativity in climate-resilient design. Current projects include multi-sensory river valley analysis (Archive for Becomings, 2025-27) and EU Water4All's INTERLAYER project (2024-27) developing 'slow hydrology' approaches for flood/drought resilience. Her methodology integrates drone footage, film editing, and participatory processes to stimulate sensory awareness in landscape planning. Recent publications reveal strong interdisciplinary convergence between landscape architecture, film studies, and environmental science, with emphasis on affective engagement in climate adaptation. Key trends include drone-mediated sensory co-creation (2020-2024), feminist landscape historiography (2024), and emergent design methodologies for regenerative landscapes (2025). Scientific recognition includes: ICAR-CORA Prize 2011 for PhD thesis 'Landscape transformations' Vola Prize 2000 for master project Frits Schlegel Honors 2003 for early-career architecture She supervises doctoral research including Hongxia Pu's 'Filmic Scroll' (2024) on Chinese desakota landscapes and Kristen Danielle van Haeren's 'Thickness of the Green' (2020) on Danish welfare landscapes. Major grants include Danish Arts Foundation funding (75,000 DKK for Archive for Becomings), EU Water4All (3 million DKK), and Danish Research Council support (6 million DKK for Drone Imaginaries project). As director of Surroundinglab.org and editorial board member for Emotion, Space and Society, she bridges academic research with professional practice. Her studio mupLA (founded 2003) has delivered award-winning landscape projects including Roskilde Festival area planning and Bornholm harbor designs, maintaining active engagement with municipalities and architecture offices.

• Veterinary Radiology
• Diagnostic Imaging
• Machine Learning Applications
• +3 more

Lilah Margaret Moorman serves as a Senior Veterinary Surgeon and Guest Researcher at the University of Copenhagen's Department of Veterinary Clinical Sciences, affiliated with both the Section for Diagnostic Imaging & Companion Animal Surgery and Clinical Specialties and the Section for Veterinary Imaging. Her clinical and research work centers on advancing diagnostic imaging techniques in veterinary medicine. Her research focuses on veterinary radiology applications, particularly hip dysplasia screening in companion animals through machine learning integration. Key interests include developing AI-driven solutions for radiographic analysis, creating soft tissue markers for image-guided therapy, and establishing quality standards for digital radiographs. This work bridges computational methods with clinical veterinary practice to enhance diagnostic precision in orthopedics and surgery. Analysis of her 2019-2021 publications reveals a consistent trend toward AI-enhanced veterinary imaging, with emphasis on deep transfer learning for joint detection/classification and multimodal markers connecting diagnostics to therapeutics. These studies demonstrate growing integration of computational intelligence in clinical veterinary workflows, particularly for improving hip dysplasia assessment accuracy and developing precision imaging tools.

Flemming Jannik Vind BjerrumView profile

Associate Clinical Professor

• Surgical Simulation
• Artificial Intelligence in Surgery
• Robotic Surgery Training
• +3 more

Flemming Jannik Vind Bjerrum holds a dual appointment as Clinical Associate Professor at the University of Copenhagen's Department of Clinical Medicine and as a surgeon at the Capital Region of Denmark, primarily affiliated with Amager and Hvidovre Hospital and Copenhagen Academy for Medical Education and Simulation. His work bridges clinical practice and academic research in surgical innovation. His research focuses on simulation-based training and competency assessment for minimally invasive and robotic surgery. Key areas include development of AI algorithms for surgical gesture annotation, virtual reality simulation modules, and evidence-based training protocols. His fingerprint analysis reveals dominant expertise in surgeon training , systematic reviews , laparoscopy , and simulation training , with significant contributions to surgical AI applications. Recent publications (2024-2025) show a strong trend toward artificial intelligence integration in surgical training and assessment, particularly in robotic surgery gesture analysis, bronchoscopy, and bowel preparation evaluation. Over 80 research outputs demonstrate consistent productivity, with 17 publications in 2024 alone indicating active current research. No scientific awards are publicly documented in the provided materials. His advising activities and grant funding are not explicitly detailed in available sources, though his leadership in multicenter trials (e.g., robotic cardiac surgery simulation assessment) suggests collaborative grant involvement. His work with the Copenhagen Academy for Medical Education and Simulation indicates institutional leadership in surgical education infrastructure. Bjerrum co-develops simulation technologies including virtual reality modules for canine surgery and AI-driven assessment tools, operating within interdisciplinary teams at Copenhagen Academy for Medical Education and Simulation. His research network shows extensive international collaboration, particularly in surgical AI standardization efforts.

• ST-elevation Myocardial Infarction (STEMI)
• Percutaneous Coronary Intervention
• Reperfusion injury
• +5 more

Thomas Engstrøm serves as a Clinical Professor at the Department of Clinical Medicine, University of Copenhagen, holding a dual appointment with the Capital Region of Denmark. He is also a Senior Consultant at The Heart Centre, Rigshospitalet, specializing in cardiology with a focus on internal medicine. His academic career spans over two decades with significant contributions to cardiovascular research and clinical practice. Dr. Engstrøm's primary research interests center around ST-elevation Myocardial Infarction (STEMI), reperfusion strategies, and interventional cardiology. His work explores myocardial protection in ischemic heart disease with special reference to reperfusion injury, percutaneous assist devices in cardiogenic shock, pressure-derived strategies in percutaneous coronary interventions, personalized revascularization in frail patients, coronary plaque characterization, and intravascular imaging. His current research focuses on reperfusion strategies in STEMI, critical care medicine in early STEMI settings, and pressure and flow-derived revascularization strategies. Analyses of his recent publications reveal a strong emphasis on long-term outcomes of various interventional approaches for STEMI patients, particularly regarding multivessel disease management. His work increasingly incorporates advanced methodologies including AI applications for coronary angiography analysis. The majority of his research addresses critical questions in cardiovascular intervention with a strong clinical trial focus, particularly through the DANAMI series of trials he founded. Over 300 total publications with more than 130 in the last five years (2018-2023) Cited over 15,000 times with an H-index of 49 Published 8 articles in the New England Journal of Medicine Published 6 articles in The Lancet Published 4 articles in JAMA Dr. Engstrøm serves as a reviewer for prestigious international scientific journals including The Lancet, European Heart Journal, JACC, Circulation, and JAMA Cardiology. He founded and serves as principal investigator for several major randomized trials, most notably the DANAMI-3 and DANAMI-4 studies. From 2007 to 2016, he served as Head of the Department of Invasive Cardiology at The Heart Center, Rigshospitalet. His current external position includes continued affiliation with the University of Copenhagen since 2005. Dr. Engstrøm maintains active collaborations across multiple institutions, with significant research networks spanning internationally. His laboratory work focuses on clinical trials in interventional cardiology, particularly regarding STEMI management and reperfusion strategies.

Cécile GalView profile

Research Fellow

• Cognitive Development
• Brain Development
• Infancy
• +5 more

Cécile Gal is a Research Fellow in the Department of Psychology at the University of Copenhagen's Faculty of Social Sciences, specializing in curiosity-driven information-seeking behavior across developmental stages. Since September 2022, she has led a longitudinal project under Katarina Begus investigating infant cognition in 1- to 2-year-olds using multimodal methodologies. Her research integrates behavioral paradigms, eye-tracking, and EEG neuroimaging to explore how learning progress, executive functioning, and information valuation shape engagement strategies in babies and adults. Key themes include cognitive development during infancy, neural correlates of curiosity, and perception mechanisms in object recognition and auditory processing, with emphasis on developmental trajectories from infancy to adulthood. Gal's publication record reveals consistent investigation of active learning frameworks, demonstrating how randomness influences perceptual priors (2024), individual information-sampling strategies across lifespan (2022), and attentional capture by predictable auditory patterns (2017). Her work bridges cognitive psychology, developmental neuroscience, and computational modeling through rigorous experimental design. Based at Øster Farimagsgade 2A in Copenhagen, she maintains weekly office hours (Wednesdays 12:00-13:00) and collaborates within the Faculty of Social Sciences' infant cognition research network, with publications disseminated through open-access channels including ORCID (0000-0001-6267-4324).

• Weed Science
• Precision Agriculture
• Crop-Weed Competition
• +9 more

Svend Christensen is a Professor at the Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen. He has held prominent positions at the Danish Institute of Agricultural Sciences (now Aarhus University), the University of Southern Denmark, and the University of Copenhagen. For 16 years, he served as a professor and head of the Department of Plant and Environmental Sciences with more than 500 employees. Currently, he is a full professor in Crop Science and Technologies. Education: Ph.D., The Royal Veterinary and Agricultural University, 1993 M.Sc. Agr., The Royal Veterinary and Agricultural University, 1988 Svend Christensen's research focuses on establishing the scientific foundation needed to transform agricultural systems to address the dual challenges of feeding a growing global population and preserving the planet's ecological balance. His work explores the interactions between crops and their environment, utilizing advanced technologies such as biologicals, breeding, remote sensing, AI, and robotics to promote sustainable farming practices. He is particularly known for his significant contributions to understanding crop-weed competition and developing weed sensing and site-specific weed management technologies that have advanced precision agriculture globally. His recent publications demonstrate a strong trend toward integrating cutting-edge technologies with traditional agricultural science. The research shows increasing sophistication in plant phenotyping, with a particular emphasis on high-throughput systems, hyperspectral imaging, and AI-driven analysis. There's a clear interdisciplinary approach connecting plant science, data science, and engineering to develop innovative solutions for crop management, disease resistance, and resource efficiency in agricultural systems. Notable Projects: MATRIX project funded by the Novo Nordisk Foundation Nordic Public Private Partnership Plant Phenotyping Project Professor Christensen actively leads several high-impact collaboration platforms including Crop Innovation Denmark (involving four breeding companies and two universities), the Nordic-Baltic Plant Phenotyping Network (with more than 15 breeding companies, universities, and research organizations), and the Plant Biologicals Network (comprising more than 20 members from industries and universities in Denmark and Sweden). His leadership extends to numerous professional activities including service on the Danish Research Council for Technology and Production (2007-2013), coordination of the Collaborative Working Group on 'ICT and Robotics in Agriculture' under the European Commission, and participation in various expert groups related to agricultural technology and policy development.

• Marine Biology
• Fish Physiology
• Animal Behavior
• +2 more

Lars Emil Juel Andersen is a Guest Researcher and Assistant Lecturer at the University of Copenhagen's Department of Biology, specializing in Marine Biology. Based at the Marine Biological Section in Helsingør, his work bridges technological innovation and aquatic biology. Research focuses include: Development of cost-effective underwater monitoring systems Fish physiology and behavioral responses to environmental variables Applications of open-source hardware in marine research Thermal effects on aquatic locomotion His 2025 publications demonstrate strong interdisciplinary approaches, combining marine biology with engineering solutions for animal tracking and analyzing temperature-dependent swimming behaviors in fish species.

Malene Hviid SaxtorphView profile

Research Fellow

• Reproductive Medicine
• Endometrial Receptivity
• Fertility Treatment
• +2 more

Malene Hviid Saxtorph is a Postdoctoral Researcher (Postdoc) at the Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen. She works within the reNEW research center in the Brickman Lab, focusing on reproductive medicine and endometrial biology. Her research primarily centers on endometrial receptivity, fertility treatments, and the relationship between vaginal microbiota and reproductive outcomes. She employs both traditional histopathological methods and advanced digital image analysis techniques to study immune cells in the endometrium. Her work often involves clinical trials and cohort studies examining factors affecting implantation success and fertility treatment outcomes. Analysis of her publications reveals a strong focus on clinical reproductive medicine with significant contributions to understanding endometrial function in the context of recurrent implantation failure. Her research bridges basic science and clinical application, with particular attention to diagnostic methods and biomarkers that could improve fertility treatment success rates. The interdisciplinary nature of her work connects immunology, microbiology, and reproductive endocrinology. Dr. Saxtorph collaborates extensively with researchers at the University of Copenhagen and Zealand University Hospital, particularly with Professor Thomas Vauvert F. Hviid and Professor Nicholas Macklon. Her research has been published in reputable journals including Frontiers in Endocrinology, Journal of Reproductive Immunology, American Journal of Reproductive Immunology, and Reproductive BioMedicine Online, with her 2020 study in Reproductive BioMedicine Online receiving 44 citations and being referenced in 1 patent. She is affiliated with the reNEW center and Brickman Lab, which focuses on stem cell research and regenerative medicine, indicating her work contributes to broader efforts in reproductive health and tissue engineering at the University of Copenhagen.

• Computational Geometry
• Image Analysis
• Stochastic Geometry
• +5 more

Hans Jacob Teglbjærg Stephensen serves as a Special Consultant in the Department of Computer Science within the Faculty of Science at the University of Copenhagen. His research focuses on Image Analysis, Computational Modelling and Geometry, with significant contributions spanning mathematical theory and biomedical applications. His institutional email address (hast@di.ku.dk) and physical location at Universitetsparken 1, 2100 København Ø confirm his active affiliation with the university. Stephensen's research interests center on computational geometry, mathematical imaging, and stochastic modeling, with notable applications in neuroscience. His work bridges theoretical mathematics with practical biomedical applications, particularly in cellular and subcellular structure analysis. His publications demonstrate expertise in developing geometric models for complex biological systems and creating novel mathematical frameworks for image analysis. His publication record from 2021-2024 reveals a strong trajectory with high-impact work in both mathematical journals and top-tier biomedical publications. The 2024 Nature Biotechnology paper on glial progenitor cells demonstrates significant translational impact, while his mathematical works in journals like Journal of Mathematical Imaging and Vision establish theoretical foundations. His research shows a clear progression from theoretical geometric models to applications in neuroscience, with increasing collaboration with biomedical researchers. Stephensen completed his PhD thesis titled 'Geometrical Models and Stochastic Geometry of Subcellular Structures' in 2021 through the University of Copenhagen's Department of Computer Science. His work has garnered significant attention, with several publications picked up by multiple news outlets and shared across social media platforms including X (formerly Twitter) and Facebook. The 2024 Nature Biotechnology paper alone was covered by 25 news outlets and shared by 181 X users, indicating substantial scientific impact and public interest in his research.

Søren Ingvor OlsenView profile

Associate Professor

• Computer Vision
• Image Analysis
• Pattern Recognition
• +3 more

Søren Ingvor Olsen is an Associate Professor in the Department of Computer Science at the University of Copenhagen's Faculty of Science. His research focuses on Image Analysis, Computational Modelling, and Geometry within the broader field of Computer Science. He maintains an active research profile with numerous publications and collaborations across various application domains. Dr. Olsen received his academic training at the University of Copenhagen, where he earned both his Master's degree in 1984 and his PhD in 1988, both from the Department of Computer Science. His academic career at the same institution began as an Assistant Professor from 1988-1991, followed by his promotion to Associate Professor. He served as Head of the Department from 1996-1999 and has held various significant roles including Visiting Professor at University Blaise-Pascal in France (2006) and involvement with the E-Science Center at the Faculty of Science (2008). Professor Olsen's primary research areas span 3D Computer Vision, Image Analysis, and Pattern Recognition. His work is characterized by its interdisciplinary nature, combining theoretical foundations with practical applications. Recently, he has focused on applying computer vision techniques to real-world problems such as railway sign detection, agricultural weed mapping using drone technology, and automation in food processing industries. His research bridges the gap between fundamental computer vision algorithms and their implementation in diverse industrial settings, demonstrating strong translational research capabilities. Analysis of his recent publication record reveals a strong trend toward applying computer vision and machine learning techniques to environmental monitoring and precision agriculture. His work demonstrates expertise in drone-based imaging systems, deep learning for object detection, and the development of practical solutions for agricultural and transportation infrastructure challenges. The interdisciplinary nature of his research is evident in collaborations spanning environmental science, agricultural engineering, and transportation systems. Throughout his career, Professor Olsen has contributed significantly to academic development, notably being responsible for the creation and accreditation of a cross-faculty bachelor's program in Science and IT in 2009. While specific grant information isn't detailed in the available materials, his extensive publication record and international collaborations suggest successful research funding throughout his career. His work appears to involve substantial student mentorship, though specific advisees aren't named in the provided information. Professor Olsen's research appears to be conducted through the Image Analysis group within the Department of Computer Science at the University of Copenhagen. His work with drone technology and agricultural applications suggests collaborations with agricultural research institutions and potentially industry partners in the railway and food processing sectors. The practical orientation of his recent work indicates strong connections between his academic research and real-world industrial applications.

Sizhuo LiView profile

Research Fellow

• Deep learning
• remote sensing
• forest management
• +3 more

Sizhuo Li is a Postdoctoral Researcher at the Department of Geosciences and Natural Resource Management within the Faculty of Science at the University of Copenhagen. Working at the intersection of artificial intelligence and environmental science, Dr. Li applies advanced neural networks to solve critical challenges in forest management and carbon stock estimation using remote sensing technologies. Dr. Li's research interests center on developing and adapting deep learning methodologies for environmental monitoring applications. Their primary focus areas include intelligent forest management systems, tree resource quantification, and carbon stock estimation. Current research involves creating an automatic and scalable tree inventory framework based on UNet architecture that enables individual crown segmentation, precise tree counting, and accurate height estimation at country-wide scales. Dr. Li's publication record demonstrates a clear trajectory from technical deep learning methodologies to practical environmental applications across diverse geographical contexts, from the Mediterranean region to the Sahel and Rwanda. This work effectively bridges computer science and environmental science to address urgent climate change and sustainability challenges through innovative technological solutions. Dr. Li has published in prestigious journals including Nature Food, Nature Ecology and Evolution, Nature Reviews Electrical Engineering, and Frontiers in Remote Sensing, with multiple publications receiving significant citations and media attention. Their research has been highlighted by numerous news outlets and academic platforms, indicating growing influence in the field of AI-powered environmental monitoring.

• Pharmaceutical Technology
• Solid-State Characterization
• Drug Delivery Systems
• +3 more

Johan Peter Bøtker serves as an Associate Professor in the Department of Pharmacy at the University of Copenhagen's Faculty of Health and Medical Sciences, specializing in advanced pharmaceutical technology and solid-state analysis. His research program emphasizes: Solid-state characterization using thermal analysis, Raman spectroscopy, and synchrotron diffraction techniques Development of dissolution testing methodologies with 3D-printed custom apparatus Computer vision applications for pharmaceutical quality control systems Advanced processing techniques including milling, hot-melt extrusion, and additive manufacturing Acoustic data treatment for inhaled drug delivery optimization Analysis of his publication record reveals consistent expertise in solid-state transformations, dissolution mechanisms, and amorphous material stability, with increasing integration of computational modeling and synchrotron-based analytical approaches. His work bridges pharmaceutical sciences with materials engineering and analytical chemistry. While specific awards were not documented, Dr. Bøtker maintains extensive collaborative networks across international research institutions as evidenced by his co-authorship patterns and country-level research mapping.