جستجوی استاد راهنمای دانشگاهی

Nikolaj Normann Holmمشاهده پروفایل

پژوهشگر ارشد

• Data Science
• Multimorbidity Research
• Chronic Heart Disease
• +۴ مورد دیگر

Nikolaj Normann Holm is a Postdoc researcher at the Department of Applied Mathematics and Computer Science, Statistics and Data Analysis at the Technical University of Denmark (DTU). His research focuses on applying data science techniques to healthcare problems, particularly in the areas of multimorbidity, chronic heart disease, and mortality prediction. His research interests center on developing and applying advanced statistical and machine learning methods to analyze complex healthcare data. Key areas include multimorbidity clustering, disease progression modeling, and mortality prediction using register-based data. His work bridges the gap between data science and medical research, creating tools that help understand complex disease patterns in population-level healthcare data. His recent publications demonstrate a strong focus on using variational autoencoders for disease clustering, analyzing co-occurring diseases in chronic heart conditions, and validating machine learning models for mortality prediction. His research consistently applies rigorous data science methodologies to address pressing healthcare challenges, particularly in the Danish healthcare system context. Dr. Holm actively participates in academic activities including conference presentations, examinations, and teaching. He has organized workshops on chronic disease selection algorithms and served as supervisor for research projects focusing on disease clustering and mortality analysis.

• Quantitative Finance
• Actuarial Science
• Machine Learning
• +۳ مورد دیگر

Yevhen Havrylenko serves as a Postdoctoral Researcher in the Department of Mathematical Sciences at the Faculty of Science, University of Copenhagen, Denmark. His appointment is based at Universitetsparken 5, 2100 København Ø, where he conducts advanced research in quantitative finance and actuarial modeling, with contact details including phone +4535327906 and email yh@math.ku.dk. His research program integrates mathematical finance, actuarial science, and machine learning to solve complex risk management problems. Key focus areas include stochastic volatility modeling for portfolio optimization under value-at-risk constraints, neural network applications for detecting variable interactions in generalized linear models, and game-theoretic approaches to risk-sharing mechanisms in insurance products. This interdisciplinary work bridges theoretical mathematics with practical financial and insurance industry challenges, emphasizing computational rigor and real-world applicability. Analysis of his recent publications reveals a cohesive research trajectory centered on mathematical innovation in risk assessment. His work consistently employs dynamic programming, stochastic processes, and machine learning to address market incompleteness, variable interaction detection, and strategic insurer-reinsurer dynamics. The publications demonstrate strong methodological synergy across finance and insurance domains, with increasing emphasis on computational techniques for complex risk modeling. No scientific awards, student advisement records, or research grants are documented in the available profile. Similarly, no affiliations with specific research laboratories or collaborative teams beyond publication co-authors (Escobar-Anel, Zagst, Heger, Hinken) are specified.

Stig Møller Hansenمشاهده پروفایل

دانشیار

• Graphic Design
• Creative Coding
• Computational Design
• +۳ مورد دیگر

Stig Møller Hansen serves as Senior Associate Professor within the Interactive Design Program at The Danish School of Media and Journalism (DMJX), where he operates at the nexus of graphic design and computational practice. His institutional role spans both the Interactive Design department and Research Department (Forskningsafdelingen), with teaching responsibilities covering "Interactive Information Graphics and Data Visualization," "Creative Coding," and "Computational Design" courses that transform designers into digital craftsmen through code-as-creative-medium pedagogy. Hansen's academic foundation includes a PhD in Computational Graphic Design from Aarhus University (awarded 2018), Master in IT from IT Vest, and BA in Graphic Communication from The Graphic Arts Institute of Denmark. This is complemented by professional experience as a practicing graphic designer, informing his applied research approach. His educational philosophy centers on project-based learning where students build custom creative tools through video worked examples and iterative experimentation. Research focuses intensely on design-programming intersections, particularly creative coding's role in generative design systems, data visualization, and AI's transformative impact on design practice. Hansen investigates how designers maintain agency in human-AI collaboration, develops frameworks for understanding role evolution in AI-augmented workflows, and creates pedagogical models for code literacy in design education. His work consistently bridges technical implementation with artistic expression, emphasizing code as expressive medium rather than mere tool. Recent publication analysis (2019-2024) reveals accelerating engagement with AI-design integration, shifting from foundational creative coding education toward critical examinations of human-AI power dynamics, ethical implications, and practical collaboration frameworks. This trajectory demonstrates increasing sophistication in addressing how designers can leverage AI while preserving creative control and professional identity. Hansen's research is supported by active grants including: 'AI som medskaber og mulighedsrum' (2024-2026): Exploring AI as creative co-creator 'Barriers to adopting programming in creative workflows' (2023-2025): Industry-focused study of code integration challenges 'Using code in Creative Processes' (2021): Development project on creative coding implementation 'Danske nyhedsmediers brug af interaktiv datavisualisering' (2020): Analysis of news media data visualization practices With 66 recorded academic activities including international conferences and workshops, Hansen maintains an active research profile while supervising student projects in generative art, educational technology development, and AI-assisted design systems within DMJX's research infrastructure.

• Concussion
• Acquired brain injury
• Neuroplasticity
• +۷ مورد دیگر

Hana Malá Rytter is an Associate Professor in Cognitive Neuropsychology at the Department of Psychology, University of Copenhagen. Her work focuses on brain organization and reorganization in response to injury and rehabilitation. She has extensive expertise in modeling cognitive functions using animal models and has supervised numerous research projects as part of the Unit for Cognitive Neuroscience (UCN). Faculty of Social Sciences, University of Copenhagen Member of Center for Integrative Cognitive Neuroscience (CInCoN) Member of GLUTARGET, Centre of Excellence Collaboration with BRAINlab and various clinical departments Hana's research centers on neuroplasticity and functional organization of the brain, with particular interest in posttraumatic recovery of cognitive impairment. Her work spans both basic science investigating brain mechanisms and applied science developing rehabilitation techniques for brain injury patients. She examines both pharmacological and non-pharmacological approaches to support cognitive recovery, with special focus on spatial memory, problem solving, and executive functioning. Her recent publications (2024-2025) show a strong emphasis on concussion management, post-concussion syndrome, and long-term outcomes after brain injury. These works bridge neuroscience with practical rehabilitation applications, addressing both adult and pediatric populations. Her research increasingly incorporates interdisciplinary approaches, examining the social, occupational, and psychological dimensions of recovery alongside neurological factors. Grant: 'Brain concussion without end' project (3.1M DKK) Grant: 'Social cognition and communication' project (6.033M DKK) Post-doctoral fellowship from Heart and Stroke Foundation of Canada Hana actively supervises bachelor's and master's theses in cognitive psychology and neuropsychology. Her research has been supported by significant grants focusing on brain injury rehabilitation. She serves as Chair of the Expert Committee for the Association of Brain Injured in Denmark and has contributed to health technology assessments for Danish authorities. Her work bridges laboratory research with clinical applications, particularly in developing evidence-based rehabilitation protocols. She is actively involved with the Unit for Cognitive Neuroscience (UCN) and Center for Integrative Cognitive Neuroscience (CInCoN). Her research collaborations extend to GLUTARGET Centre of Excellence, BRAINlab, and multiple clinical departments including the Center for Brain Injury Rehabilitation, Department of Neurology, and Traumatic Brain Injury Unit at Copenhagen University hospitals.

Natalja Geninaمشاهده پروفایل

دانشیار

• Personalized Medicine
• Pharmaceutical Printing Technologies
• Drug Delivery Systems
• +۳ مورد دیگر

Natalja Genina serves as Associate Professor in the Department of Pharmacy at the University of Copenhagen, specializing in personalized pharmaceutical manufacturing and drug delivery innovation. Her work bridges cutting-edge production technologies with healthcare system integration. Her educational foundation includes: Ph.D. in Pharmaceutical Technology from University of Helsinki (2010) M.Sc. in Pharmacy from University of Tartu (2006) Research centers on developing personalized dosage forms through printing technologies, non-destructive quality control systems, and digital platforms for on-demand drug production in pharmacies, industries, or homes. She investigates regulatory and societal impacts through interdisciplinary collaboration with Social and Clinical Pharmacy researchers, focusing on patient-oriented products and controlled drug delivery systems. Recent publications (2024-2025) demonstrate dominant trends in 3D pharmaceutical printing, particularly binder jetting and fused deposition modeling for patient-tailored products. Key themes include microstructure analysis of printed tablets, stability of antidepressant formulations, near-infrared/Raman imaging for quality assessment, and QR-encoded smart dosage systems - reflecting convergence of material science, precision medicine, and digital health. She mentors MSc and PhD students through problem-based learning and research integration, with many MSc students publishing papers before graduation. Her teaching philosophy emphasizes student ownership of ideas and active critical thinking through case studies and collaborative problem-solving. Leading the Pharmaceuticals, processes and products research group, she maintains international collaborations focused on translating personalized medicine concepts into practical healthcare solutions while addressing regulatory and distribution challenges.

• Food Science
• Food Analytics
• Biotechnology
• +۶ مورد دیگر

Birthe P Møller Jespersen is an Associate Professor and External Researcher in the Department of Food Science, specializing in Food Analytics and Biotechnology at the University of Copenhagen. Her research focuses on applying advanced analytical techniques to food science problems, particularly in cereal analysis and functional foods. Dr. Jespersen's research interests include: Food Analytics using hyperspectral imaging and near-infrared spectroscopy Barley and cereal analysis for food and brewing applications Functional foods development Application of machine learning and deep learning in food analysis Protein analysis in plant-based foods Food processing and quality assessment Her recent publications demonstrate a strong trend toward integrating advanced computational methods with traditional food analysis techniques. She has been actively working on applying hyperspectral imaging combined with machine learning algorithms to analyze grain quality, protein content, and food processing parameters. Her research bridges the gap between traditional food science and modern data science approaches. Dr. Jespersen has contributed to the scientific community through numerous publications and media appearances discussing food science topics. Her media contributions include discussions on converting animal feed to human food and the importance of grain fibers in healthy diets. Her professional activities include: Research in food analytics and biotechnology Development of analytical methods for food quality assessment Application of advanced imaging and spectroscopy techniques Integration of machine learning with food analysis

• Mathematics Education
• Engineering Design Pedagogy
• Problem-Based Learning
• +۲ مورد دیگر

Imad Fawzi Abou-Hayt serves as a Lecturer in the Department of Economics at the University of Copenhagen, where he contributes to educational research and curriculum development. His institutional affiliation centers on advancing pedagogical methodologies within mathematical and engineering education contexts. His research critically examines the integration of mathematical modeling with engineering design through problem-based learning frameworks. Specializing in the Theory of Didactical Situations, he develops innovative approaches for teaching complex calculus concepts like functional limits, emphasizing cognitive skill transfer and collaborative problem-solving strategies in STEM education. Analysis of his 2019 publications reveals consistent focus on interdisciplinary curriculum development, with particular attention to bridging theoretical mathematics and practical engineering applications. His work demonstrates systematic investigation into cognitive barriers in advanced mathematics instruction and evidence-based solutions for university-level STEM education. Abou-Hayt actively participates in academic knowledge dissemination through peer-reviewed conference proceedings with the European Society for Research in Mathematics Education (ERME) and the European Association for Engineering Education (SEFI), maintaining open-access research practices.

• Science Education
• Inquiry-Based Science Teaching
• Formative Assessment
• +۳ مورد دیگر

Robert Harry Evans is an Associate Professor in the Department of Science Education at the University of Copenhagen, Denmark. His work focuses on science teacher education and he actively contributes to international initiatives including the ESERA 2025 Conference as an organizing committee member. Education: PhD in Science Education, University of Colorado Boulder His research centers on self-efficacy in inquiry-based science learning, formative assessment strategies, and technology integration in school and out-of-school settings. He investigates how control beliefs impact teaching effectiveness and develops frameworks for coherent science instruction. His work bridges theoretical research with practical teacher development through workshops on argumentation, PhD supervision, and constructivist course design. Analysis of his 2018-2021 publications reveals consistent emphasis on self-efficacy measurement, inquiry-based methodologies, and cross-cultural assessment practices. Key themes include network analysis of teacher development, climate change integration in geology fieldwork, and the 6F model for inquiry teaching in Denmark, demonstrating strong alignment with European educational policy frameworks. No scientific awards were documented in the provided materials. Evans supervises PhD students and leads major initiatives including PICoSTE (Promotion of Instructional Coherence through Science Teacher Education) with Baltic universities and CSRC (Cyprus Science and Research Centre) for establishing a new science education hub. His grant-funded work includes faculty development workshops in Africa focused on constructivist pedagogy and PhD supervision. He maintains extensive collaborations through ESERA (European Science Education Research Association), having served on its Board from 2011-2019 and currently co-organizing the 2025 conference. His international network spans Cyprus, Baltic states, and multiple European countries, focusing on science center development and assessment policy reform.

• Machine Learning
• Deep Learning
• Remote Sensing
• +۵ مورد دیگر

Fabian Cristian Gieseke serves as an Associate Professor in the Department of Computer Science at the University of Copenhagen's Faculty of Science. His research focuses on applying machine learning techniques to environmental monitoring and remote sensing applications. He maintains an active research profile with significant contributions to the field of computational environmental science. Dr. Gieseke's research interests center on Machine Learning, Deep Learning, and their applications in Remote Sensing and Environmental Monitoring. His work particularly emphasizes forest resource monitoring, tree detection, and biomass estimation using advanced AI techniques. He has developed innovative approaches for analyzing satellite and aerial imagery to address critical environmental challenges related to forest management and climate change. His recent publications demonstrate a strong trend toward applying deep learning models to environmental monitoring problems, particularly in forest ecosystems. His research spans from national-scale tree counting and crown segmentation to above-ground biomass estimation using LiDAR data. His work shows increasing interdisciplinary collaboration between computer science and environmental science communities, with publications appearing in high-impact journals across both domains. Dr. Gieseke maintains an active research profile with 76 total research outputs as documented, including 41 article in proceedings, 24 journal articles, and various other publication types. His work has received significant attention with mentions across multiple social media platforms, news outlets, and policy documents, indicating real-world impact of his research. Based at the Department of Computer Science (DIKU) at the University of Copenhagen, Dr. Gieseke's research appears to be part of broader environmental informatics initiatives that bridge computer science with ecological monitoring and climate science applications.

Jesper Bruunمشاهده پروفایل

دانشیار

• Physics Education Research
• Science Education
• Network Analysis in Education
• +۴ مورد دیگر

Jesper Bruun serves as an Associate Professor in the Department of Science Education at the University of Copenhagen's Faculty of Science, specializing in physics education research with emphasis on digital technologies and network analysis in upper-secondary and university contexts. Education PhD in Physics Education Research Cand. Scient. in Physics Research Focus : Bruun pioneers the application of network science to educational research, examining cognitive-social learning interplay, kinesthetic physics exercises, and Learning Analytics. His methodology leverages big data to map academic networks and optimize educational systems across levels, with recent expansion into AI-driven pedagogy. Current Research Trends : Recent publications (2025) demonstrate concentrated exploration of network-based analysis for student engagement patterns, AI chatbot integration in STEM instruction, and physical analogy development. These works bridge theoretical frameworks with practical classroom applications across Danish upper-secondary and university settings. Academic Leadership : Bruun actively supervises bachelor/thesis projects on digital education tools and kinesthetic methods while co-organizing major conferences (ESERA 2025, Unfinished Business 2025). His collaborative projects—including KA-STEM evaluation and scientist-teacher partnerships—highlight commitment to evidence-based educational transformation through cross-institutional teamwork.

• Pedagogy and Social Inequalities
• Progressive Education History
• Refugee Integration Policies
• +۷ مورد دیگر

Trine Øland is an Associate Professor in Educational Research at the Department of Communication, Faculty of Humanities, University of Copenhagen. She serves as Head of Section for Education (2013-) and Head of the research group The History and Sociology of Welfare Work (2014-). Øland is also chairman of the Consortium for Education and professional welfare work and a member of the steering group for the Advanced Migration Studies research center (AMIS). Her educational background includes a PhD in Educational Science (2007) and MA degrees in Educational Science & Political Science (1997) from the University of Copenhagen and University of Aarhus respectively. Her research spans multiple historical periods and focuses on the intersection of pedagogy, power, and inequality. Øland's research explores how pedagogical concepts and efforts to develop, emancipate, integrate and socialize individuals create hierarchies between human beings. She examines progressive pedagogy across the 20th and 21st centuries, welfare work with refugees since the 1970s, and theoretical understandings of pedagogy as a relation where power appears in affective and geopolitical genres. Her work critically analyzes how dominance is sustained through institutionalized pedagogy while also documenting resistance and critique in educational encounters. Her publication record shows consistent focus on welfare state pedagogy, with recent work examining colonial logics in Danish welfare systems and racial capitalism. Øland's research demonstrates an evolving trajectory from historical analyses of progressive pedagogy to contemporary critical examinations of welfare work with refugees and immigrants. As an academic leader, Øland has supervised numerous PhD students whose work examines educational guidance, welfare work practices, intersectionality in marginalized housing areas, and affective economies in well-being pedagogies. She has led significant research projects including RESTORE (2021-2025), funded by The Independent Research Council Denmark, which constructs new narratives of the Danish welfare state through refugees' stories. Øland leads the research group The History and Sociology of Welfare Work and is actively involved in the Consortium for Education and professional welfare work, a collaboration between University College Copenhagen and Section of Education, Faculty of Humanities, University of Copenhagen. Her work bridges historical analysis with contemporary critical perspectives on welfare state pedagogy and refugee integration.

Peter Furuمشاهده پروفایل

دانشیار

• Environmental Health
• Health Impact Assessment
• Climate Change and Health
• +۵ مورد دیگر

Peter Furu serves as Associate Professor and Head of Studies in the Global Health Section at the Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen. With a career spanning since 1983 across 25+ countries in Africa, Southeast Asia, the Middle East, and Central America, his work integrates global health research, education, and policy development. His educational background includes: Master of Public Health (MPH, 2003) from Nordic School of Public Health, Gothenburg Diploma of Public Health (DPH, 1997) from Nordic School of Public Health, Gothenburg Master of Science in Biology (1984) from University of Copenhagen Furu's research focuses on the intersection of environmental systems and human health, particularly planetary health dynamics, health impact assessment methodologies, and climate change health implications. His work bridges academic research with practical applications in sustainable development, emphasizing integrated approaches to water resource management, disease control, and sustainable tourism. He has pioneered capacity-building initiatives across Southeast Asia and Africa, developing frameworks for health impact assessment in developing contexts. As an educator, he leads multiple graduate programs including the Master of Disaster Management and Master of Science in Global Health, with specialized courses on planetary health and climate change. His teaching philosophy incorporates problem-based learning and e-learning innovations, reflected in his Coursera MOOC on climate change health impacts. Professional engagements include: Member of University of Copenhagen's Climate Panel (Faculty of Science) Expert panel member for climate change and health initiatives Referee for international scientific journals Former Head of WHO Collaborating Centre for Health and Environment in Sustainable Development (1998-2012) External Examiner for Danish universities (2002-2022) Furu has supervised over 40 bachelor's, master's, and PhD students while directing comprehensive training programs across 25+ international courses. His research management expertise includes principal investigator roles for projects in Tanzania and Malawi, alongside consultancies for WHO, World Bank, and Danida. Current collaborative networks span climate change adaptation, planetary health education, and sustainable development across global institutions.

Yaovi Mahuton Gildas Hounmanouمشاهده پروفایل

استادیار

• Microbial Genomics
• Bioinformatics in Microbiology
• One Health Antimicrobial Resistance
• +۷ مورد دیگر

Yaovi Mahuton Gildas Hounmanou serves as an Assistant Professor in Veterinary Clinical Microbiology within the Department of Veterinary and Animal Sciences at the University of Copenhagen's Faculty of Health and Medical Sciences. His research spans pathogen genomics from animal and aquatic environments, climate change implications on disease transmission (particularly cholera and Vibrio infections), and solutions-oriented approaches using omics tools to reduce antimicrobial resistance in low- and middle-income countries. He additionally holds a Postdoctoral Affiliate position at the University of Abomey-Calavi in Benin. Dr. Hounmanou's research interests focus on microbial genomics, bioinformatics in microbiology, and One Health approaches to antimicrobial resistance surveillance. His work bridges veterinary medicine, environmental science, and public health, with particular emphasis on zoonotic disease transmission pathways and interventions for reducing antimicrobial use in resource-limited settings. His research methodology heavily incorporates advanced genomic and omics technologies to address complex health challenges at the human-animal-environment interface. His publication record shows significant recent activity with research spanning multiple continents including Denmark, Vietnam, Bangladesh, Colombia, and Benin. His work demonstrates strong international collaboration patterns, particularly with institutions in low- and middle-income countries where antimicrobial resistance presents critical public health challenges. The research output reveals consistent focus areas in pathogen genomics, antimicrobial resistance mechanisms, and environmental transmission pathways. Within his teaching portfolio, Dr. Hounmanou employs problem-based learning approaches within research-based teaching formats to deliver courses in Microbial Genomics, Bioinformatics in Microbiology, and One Health antimicrobial resistance surveillance. His pedagogical approach emphasizes practical application of genomic tools to real-world public health challenges, particularly those affecting resource-limited settings.

• Healthcare Simulation
• Medical Education
• Debriefing Methods
• +۴ مورد دیگر

Peter Dieckmann serves as an Associate Professor in the Department of Public Health's Section of Health Services Research and as an External Lecturer in the Department of Clinical Medicine at the University of Copenhagen's Faculty of Health and Medical Sciences. His work bridges clinical practice and academic research with strong connections to Copenhagen University Hospital (Region Hovedstaden). His research interests focus on innovative approaches to medical education, particularly healthcare simulation methodologies and debriefing techniques. Dr. Dieckmann explores the integration of emerging technologies like artificial intelligence in medical training while addressing important issues of diversity, inclusion, and interprofessional communication in healthcare education. Analysis of his recent publications reveals a strong emphasis on simulation-based education, with particular attention to debriefing methods, AI applications in healthcare training, and innovative teaching techniques like escape rooms. His work demonstrates a commitment to improving healthcare education through evidence-based approaches that address both technical skills and interpersonal dynamics. Dr. Dieckmann has received significant attention for his research, with multiple publications garnering substantial readership on academic platforms like Mendeley and social media engagement on X (formerly Twitter). His collaborative approach is evident in the international nature of his research teams. His academic advising and grant activities focus on simulation education development, healthcare team training, and the implementation of novel educational technologies in clinical settings. He maintains active collaborations with researchers across multiple institutions and countries. Dr. Dieckmann contributes to several research groups focusing on healthcare simulation methodology, medical education innovation, and the application of technology in clinical training environments. His work with the Department of Clinical Medicine involves developing and evaluating simulation-based educational interventions for healthcare professionals.

• Computational Chemistry
• Molecular Modeling
• Quantum Chemistry
• +۴ مورد دیگر

Jan Halborg Jensen is a Professor in the Department of Chemistry at the University of Copenhagen, with a distinguished research career in computational chemistry and molecular modeling. His work spans quantum chemistry, cheminformatics, and machine learning applications in chemical research, with significant contributions to drug design, catalyst discovery, and chemical reaction prediction. His primary research interests focus on Computational Chemistry , Molecular Modeling , and Quantum Chemistry , with particular expertise in applying machine learning techniques to chemical problems. Jensen's research integrates computational methods with practical chemical applications, including retrosynthesis planning, catalyst design, and drug discovery. His work bridges theoretical chemistry with practical applications in organic synthesis and pharmaceutical development. Analysis of Jensen's recent publications (2023-2025) reveals a strong focus on machine learning applications in chemistry, particularly for predicting chemical reactivity, designing catalysts, and advancing drug discovery. His work demonstrates increasing integration of artificial intelligence with traditional computational chemistry methods, with significant contributions to cheminformatics, transition metal chemistry, and biomolecular simulation standards. The research spans theoretical developments and practical applications across organic chemistry, biochemistry, and materials science. Jensen maintains an active research program with extensive publication output, including 88 research contributions comprising journal articles, book chapters, and books. His work shows strong collaborative networks across computational chemistry and related fields. He has presented on educational technology topics, including a lecture titled "Make a difference - teach and learn with technology" in April 2018, demonstrating engagement with pedagogical developments alongside research activities. His online presence includes a professional blog (molecularmodelingbasics.blogspot.com) and comprehensive CV documentation.