Martine Stagelund Hvidt serves as Assistant Professor at the University of Copenhagen's Faculty of Law, affiliated with the WELMA Centre for Legal Studies in Welfare and Market. Her research bridges social rights and digital administrative law, focusing on citizen protections within automated public systems. Education PhD in Law, University of Copenhagen (2014) Master of Laws (Cand.jur.), University of Copenhagen (2011) Bachelor of Laws (BA.jur.), University of Copenhagen (2009) Research Focus Hvidt's work centers on Social Security Law in digital contexts, examining algorithmic errors in welfare administration and children's rights in automated systems. She investigates AI's impact on public administration, particularly regarding child benefits and social security access, while addressing algorithmic discrimination and platform worker protections. Her scholarship integrates gender perspectives and EU legal frameworks. Publication Trends Her 2022-2024 publications reveal concentrated research on digital welfare governance, with 2024 representing peak output. Key themes include algorithmic discrimination in child benefit systems, underrepresentation of youth rights in digital administration, and legal frameworks for platform workers. This corpus demonstrates growing urgency around balancing administrative efficiency with fundamental rights in Scandinavia's digital welfare state. Scientific Recognition No formal awards documented in source materials Academic Engagement While specific student supervision isn't detailed, Hvidt actively contributes to Nordic research networks including the Social Rights Group and Nordiskt socialrättsligt nätverk. Her committee memberships indicate institutional leadership within Copenhagen's legal research ecosystem, though grant funding specifics remain unreported. Research Infrastructure As a core WELMA Centre member, Hvidt operates within a specialized hub examining welfare-market legal intersections. Her participation in the Nordic Social Law Network facilitates cross-border collaboration on digital governance challenges, particularly regarding algorithmic accountability in Scandinavian welfare systems.
جستجوی استاد راهنمای دانشگاهی
برای مسیر پژوهشیتان، استاد راهنما، استاد دانشگاه و پژوهشگر مناسب را پیدا کنید و با آنها ارتباط بگیرید.
نمایش ۴۰۶-۴۱۰ از ۴۱۰ استاد راهنما
اطلاعات پروفایلها از صفحات عمومی دانشگاهها گرفته شده و ممکن است بهروز نباشد.
Klaus Fuglsang Kofoedمشاهده پروفایل
استاد بالینی
Klaus Fuglsang Kofoed serves as a Clinical Professor in the Department of Clinical Medicine within the Faculty of Health and Medical Sciences at the University of Copenhagen. His academic appointment focuses specifically on Internal Medicine with specialization in Cardiology. Based at Blegdamsvej 3, 2200 København N, he maintains active clinical and research responsibilities in cardiovascular medicine. Dr. Kofoed's research spans multiple domains of cardiology with particular emphasis on cardiovascular imaging techniques, HIV-related cardiac complications, and coronary artery disease assessment. His work integrates advanced imaging modalities including cardiac CT angiography with clinical outcomes research. Notable research themes include the intersection of infectious diseases and cardiovascular health, quantitative imaging analysis for pulmonary congestion assessment, and procedural planning for structural heart interventions. His publication record demonstrates significant scholarly contribution with 287 research outputs including 260 journal articles, 7 commentaries, 6 letters, and 6 review articles. Recent 2025 publications reveal ongoing productivity in cardiovascular imaging, HIV/cardiology intersections, and cardiac CT applications. His research frequently appears in high-impact cardiology journals including European Heart Journal , JAMA Cardiology , and Echocardiography . Dr. Kofoed maintains extensive collaborative networks across Danish medical institutions, frequently partnering with researchers from Rigshospitalet and other Copenhagen-based medical centers. His work shows particular strength in multi-center clinical studies and cohort analyses. His methodological approaches combine clinical cardiology expertise with advanced imaging techniques and increasingly incorporate computational methods as evidenced by his involvement in deep learning applications for cardiac data analysis.
Maria Harris Rasmussenمشاهده پروفایل
پژوهشگر ارشد
Maria Harris Rasmussen is a Postdoctoral Researcher in the Department of Chemistry at the University of Copenhagen, where she conducts cutting-edge research at the intersection of computational chemistry, cheminformatics, and artificial intelligence. Her work focuses on developing and applying computational methodologies to solve complex chemical problems, with particular emphasis on reaction discovery, molecular representation, and catalyst design. Her research interests span multiple domains of computational chemistry, with primary focus on Cheminformatics where she develops algorithms for molecular representation including SMILES notation for transition metal complexes. In Quantum Chemistry , she investigates photoinduced electron transfer processes and reaction mechanisms using advanced simulation techniques. Her work in Machine Learning for Chemistry includes developing explainable AI methods for molecular property prediction and uncertainty quantification in chemical data sets. She also contributes significantly to Catalysis Research through computational approaches for de novo catalyst discovery and reaction screening. Analysis of her publication record reveals strong trends in developing computational tools that bridge theoretical chemistry with practical applications. Her recent work shows increasing integration of machine learning with traditional quantum chemical methods, particularly in the areas of reaction space exploration and catalyst discovery. The interdisciplinary nature of her research connects chemistry with computer science, physics, and data science, reflecting the evolving landscape of modern computational chemistry. Maria maintains active research collaborations with prominent scientists including Jensen J.H., Mikkelsen K.V., and several international researchers as evidenced by her publication record. Her computational methodologies have gained attention across academic and research communities, with multiple publications receiving significant readership on platforms like Mendeley and social media engagement.
- Hologenomics
- Microbiome Research
- Metagenomics
- +۳ مورد دیگر
Iñaki Odriozola Larrañaga is a Postdoctoral Researcher at the University of Copenhagen's Globe Institute, specifically within the Section for Hologenomics. His research focuses on advanced genomic techniques to study host-microbe interactions across diverse species. His research interests span hologenomics, metagenomic analysis, environmental DNA applications, and microbiome dynamics. Dr. Odriozola Larrañaga specializes in developing and implementing genomic methodologies to understand how environmental factors influence microbial communities in various organisms, from mammals to fish. His work bridges computational biology with field ecology to address fundamental questions about host-microbe coevolution. Analysis of his recent publications reveals a strong emphasis on methodological development in hologenomic research, with particular attention to DNA extraction protocols, data generation standards, and functional inference techniques. His research shows consistent collaboration with the Alberdi and Gilbert research groups, focusing on comparative studies across vertebrate species and environmental contexts. Dr. Odriozola Larrañaga maintains active research collaborations across multiple institutions, as evidenced by his co-authorship patterns and international publication record. His work has generated significant academic interest, with multiple publications receiving substantial attention on academic social networks and research platforms.
- Computer Vision
- Image Analysis
- Pattern Recognition
- +۳ مورد دیگر
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.