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نمایش ۱-۱۵ از ۱۵۵ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

Jens S. Andersenمشاهده پروفایل

استاد

University of Southern DenmarkDenmark

Jens S. Andersen is a Professor in the Department of Biochemistry and Molecular Biology at the University of Southern Denmark, where he leads research in Biomedical Mass Spectrometry and Systems Biology. His work is centered on the development and application of quantitative mass spectrometry and microscopy-based proteomics to study human cell biology, particularly the structure and function of organelles such as centrosomes, cilia, autophagosomes, and mitochondria. His research focuses on determining the protein composition and dynamic properties of cellular organelles, the roles of specific protein groups, and their contributions to biological processes and diseases. He investigates cell signaling mediated by post-translational modifications, especially within the DNA damage response, autophagy, and immune systems. His lab, the Jens S. Andersen Lab, is part of the Research Section of Biomedical Mass Spectrometry. The analysis of his recent publications reveals a strong interdisciplinary trend combining proteomics, structural biology, and cell signaling. His work spans cilia biology, RNA metabolism, DNA repair, and cancer mechanisms, with frequent use of advanced techniques like mass spectrometry, CRISPR, and live-cell imaging. The integration of systems biology approaches is evident across his research outputs. Professor, Department of Biochemistry and Molecular Biology, University of Southern Denmark Head of Research, Biomedical Mass Spectrometry and Systems Biology Principal Investigator, Jens S. Andersen Lab ORCID: 0000-0002-6091-140X While no specific scientific awards are mentioned in the provided texts, his extensive publication record in high-impact journals such as Science , Nature Communications , Molecular Cell , and EMBO Journal reflects significant scholarly contributions. He has supervised research projects and collaborated widely across Europe, though specific names of students are not listed. His research is supported by multiple ongoing projects, reflecting sustained funding and academic leadership. The Jens S. Andersen Lab operates at the intersection of proteomics and cell biology, contributing to fundamental understanding of organelle dynamics and disease mechanisms. The lab's work is highly collaborative, involving partnerships with groups in structural biology, RNA research, and cancer biology.

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Ole Nørregaard Jensenمشاهده پروفایل

استاد

University of Southern DenmarkDenmark

Ole Nørregaard Jensen is a Professor in Biomedical Mass Spectrometry and Systems Biology at the Department of Biochemistry and Molecular Biology, University of Southern Denmark . His research integrates advanced mass spectrometry, proteomics, and bioinformatics to study chromatin biology, post-translational modifications, and cellular signaling networks. He is actively involved in major research initiatives funded by Novo Nordisk Foundation and Lundbeck Foundation. His research interests include Mass Spectrometry, Proteomics, Posttranslational Modification, Histone Biology, Chromatin Biology, Bioinformatics, Systems Biology, Lipidomics, and Protein Chemistry . He employs cutting-edge techniques such as tandem mass spectrometry and ion mobility spectrometry to analyze protein isomers and dynamic modifications. His work has significant implications for understanding gene regulation, DNA replication, and disease mechanisms. His recent publications demonstrate a strong trend in chromatin dynamics, epigenetics, and integrated omics approaches , combining proteomics with transcriptomics and lipidomics to unravel complex biological systems. His research spans from fundamental molecular mechanisms to translational applications in biomedicine and food science. He has been recognized with several prestigious awards: MCP Lectureship Award Juan Pablo Albar Proteomics Pioneer Award 2019 EliteForsk 2009 prize Knight Order of Dannebrog (Ridder af Dannebrogordenen) Jensen is deeply involved in academic service, including peer review for journals like Nature Communications and Molecular and Cellular Proteomics , organizing conferences, and supervising students. He teaches courses such as Biomedical Mass Spectrometry - Principles and Applications and coordinates the Computational Biomedicine international Master’s program. He leads multiple active research projects, including PLATO and INTEGRA, focusing on health data, imaging, and protein networks. He is a key member of a vibrant research environment in biomedical mass spectrometry at SDU, contributing to both national and international scientific collaborations. His lab is at the forefront of developing and applying novel mass spectrometry methodologies for systems biology.

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Ala Trusinaمشاهده پروفایل

دانشیار

University of CopenhagenDenmark

Ala Trusina is an Associate Professor at the Niels Bohr Institute , University of Copenhagen , specializing in Biocomplexity and Biophysics . Her research integrates coarse-grained modeling to study complex biological systems. Key Research Areas Stress Response Systems (diabetes, aging, cancer, inflammation) Stem Cell Differentiation (cell fate coordination, reversibility of states) Complex Systems (species coexistence, epidemics, CRISPR-phage interactions) Methodologies Theoretical: Agent-based modeling, in-silico simulations Experimental: Quantitative single-cell imaging, RNA/protein profiling Collaborations Joshua Brickman (ES cells), Anne Grapin-Botton (pancreas), Feroz Papa (diabetes), Else Kai Hoffman (p53 dynamics) Thomas Mandrup-Poulsen (inflammation), Savas Tay (spatio-temporal regulation) Teaching Physics of Molecular Diseases Numerical Methods in Physics

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Chao Sunمشاهده پروفایل

دانشیار

Aarhus UniversityDenmark

Chao Sun is an Associate Professor affiliated with multiple departments at Aarhus University , including the Department of Molecular Biology and Genetics, DANDRITE, the Interdisciplinary Nanoscience Center (INANO-MBG), and the Department of Biomedicine. His research integrates neurobiology , molecular cell biology , and nanotechnology , focusing on proteostasis, synaptic regulation, and advanced imaging techniques. PhD in Chemistry from Cornell University (2013-2018) Research interests include: Cellular neurobiology Proteostasis and protein turnover Super-resolution microscopy applications Proteomics of neuronal compartments Synaptic biology and plasticity Article trends reveal expertise in: Proteasome dynamics in synapses Multi-omics approaches to subcellular protein synthesis Single-molecule imaging in synaptic contexts Quantitative analysis of neuronal protein turnover Collaborations include leading researchers like Poul Nissen and Erin Schuman, with publications in high-impact journals such as Science and Current Opinion in Neurobiology . His work bridges molecular neuroscience with cutting-edge nanoscale imaging technologies.

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Mojtaba Zareiمشاهده پروفایل

پژوهشگر

University of Southern DenmarkDenmark

Mojtaba Zarei is a researcher at the Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, with additional affiliations at Odense University Hospital (OUH) and Karolinska Institutet (KI). His primary research unit is the Neurology Research Unit in Odense, focusing on advanced neuroimaging techniques and their applications in neurological and sleep disorders. Dr. Zarei's research spans multiple domains within neuroscience, with particular expertise in Positron Emission Tomography (PET), Diffusion Tensor Imaging (DTI), and cognitive function assessment. His work frequently addresses Alzheimer's Disease, Parkinson's Disease, and insomnia disorders, utilizing both clinical and computational approaches. His fingerprint analysis shows strong activity in neuroscience (100% for PET), diffusion tensor imaging (66%), cognitive function (45%), and Alzheimer's Disease (40%). His recent publications reveal a clear trajectory toward integrating multimodal imaging techniques with machine learning approaches for improved diagnosis and understanding of neurological conditions. The work on OPETIA (Odense-Oxford PET Image Analysis) demonstrates his contribution to developing standardized tools for neuroimaging analysis. His research increasingly bridges computational methods with clinical neuroscience, as evidenced by his work on image stitching algorithms and machine learning applications for insomnia classification. Dr. Zarei actively collaborates with researchers across multiple institutions, with notable external collaborations visible on the international network map. His work has been mentioned by peer review sites, picked up by news outlets, and shared across social media platforms, indicating growing impact in his field. Within his research unit of Neurology in Odense, Dr. Zarei appears to be part of a multidisciplinary team working at the intersection of clinical neurology, advanced imaging, and computational analysis, contributing to both methodological development and clinical applications of neuroimaging techniques.

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Peter Dalsgaardمشاهده پروفایل

استاد

Aarhus UniversityDenmark

Peter Dalsgaard is a Professor at Aarhus University's School of Communication and Culture, specifically within the Department of Digital Design and Information Studies. He maintains three additional institutional affiliations and serves as a leading researcher in human-computer interaction and digital design. His work bridges theoretical frameworks like pragmatism with practical applications in creativity support tools, media architecture, and participatory design methodologies. His research centers on how digital tools shape creative processes across professional domains. Key interests include idea capture and management in design workflows, the impact of AI on collaborative creativity, and the temporal dynamics of idea evolution. Recent work examines cross-domain practices among graphic designers, musicians, and other creative professionals, revealing how tool constraints influence creative outcomes. He integrates philosophical perspectives like more-than-human theory to address ethical dimensions in HCI. Analysis of his 15 most recent publications (2023-2025) shows a decisive shift toward AI-human collaboration in creativity, with 60% of recent work exploring AI's dual role as enabler and constraint. His studies increasingly employ longitudinal methods to track idea development, while maintaining strong foundations in participatory design and media architecture. The research spans practical applications in public libraries and design sprints, balancing technical innovation with critical theoretical inquiry. Dalsgaard has secured significant funding for major projects including CoCreate (2017-2021) on collaborative creativity tools, PLACED (2017-2020) for dynamic library services, Creative Tools (2017-2020), and CIBIS (2014-2018) on blended interaction spaces. These initiatives demonstrate sustained focus on translating theoretical insights into deployable systems for real-world creative environments.

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Michael Strømمشاهده پروفایل

دانشیار بالینی

University of CopenhagenDenmark

Michael Strøm serves as a Clinical Associate Professor within the Department of Clinical Medicine at the University of Copenhagen's Faculty of Health and Medical Sciences. His institutional affiliation combines clinical practice at the Capital Region of Denmark (Region Hovedstaden) with academic responsibilities in medical education and research. Dr. Strøm's research program focuses on the critical intersection of surgical simulation and artificial intelligence, specifically targeting endovascular procedures. He pioneers machine learning applications for objective proficiency assessment in aortic repair simulations, addressing fundamental challenges in surgical training standardization. His work bridges computational science with hands-on clinical skills development, emphasizing data-driven evaluation methods that transcend traditional subjective assessments. His 2024 publication in Current Problems in Surgery demonstrates a clear research trajectory toward AI-enhanced surgical education, with growing emphasis on quantitative performance metrics and real-time feedback systems. This work reflects broader trends in medical technology where computational methods increasingly validate clinical competencies. Dr. Strøm actively collaborates with the ENHANCE research consortium on vascular surgery innovation. While specific advising roles aren't detailed in available materials, his research output indicates leadership in interdisciplinary projects merging clinical expertise with engineering solutions. His institutional position suggests integration within both university academic structures and regional hospital training programs.

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Hans Martin Kjerمشاهده پروفایل

دانشیار

Technical University of DenmarkDenmark

Hans Martin Kjer is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), where he is affiliated with the UltraSound and Biomechanics group within the Visual Computing Center and the Center for Fast Ultrasound Imaging. His research bridges engineering and medical imaging, with a strong emphasis on developing and validating advanced ultrasound techniques for biomedical applications. Research Interests: His work focuses on super-resolution ultrasound imaging, microvascular analysis, 3D reconstruction of biological structures, and image registration. He applies computational methods to improve the resolution and accuracy of ultrasound, particularly in renal and lymph node vasculature imaging. His research contributes to the UN Sustainable Development Goals in health and well-being through innovative diagnostic tools. Publication Trends: Over the past several years, Kjer has consistently published in high-impact journals and conferences in biomedical engineering and imaging. His recent work emphasizes the validation of super-resolution ultrasound against micro-CT, realistic 3D blood flow simulation, and the application of AI in enhancing imaging resolution. These studies reflect a strong trend toward quantitative, reproducible, and clinically relevant imaging solutions. Scientific Contributions: While no specific awards are listed, his leadership in major research projects and frequent collaborations with leading experts in ultrasound (e.g., Jørgen Arendt Jensen) underscore his significant role in the field. Advising and Funding: Kjer serves as a supervisor and principal investigator in several funded research initiatives, including AI for Extreme Super-Resolution CT , 3DIM: 3D Imaging Center , and QIM: Center for Quantification of Imaging Data from Max IV . He mentors PhD students and collaborates across disciplines, contributing to both biomedical and materials science imaging projects. Laboratories and Teams: He is an integral member of the Center for Fast Ultrasound Imaging and the Visual Computing Center at DTU. These teams focus on cutting-edge ultrasound technologies, image processing algorithms, and multimodal imaging integration, positioning Kjer at the forefront of computational biomedical imaging in Denmark.

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Hans Magnus Henrik Lundellمشاهده پروفایل

دانشیار

Technical University of DenmarkDenmark

Hans Magnus Henrik Lundell is an Associate Professor at the Department of Health Technology, Technical University of Denmark , specializing in Magnetic Resonance research. His work bridges biomedical engineering and neuroscience through advanced imaging techniques. Active in diffusion MRI and neurodegeneration research Current supervisor of two PhD students in multi-modal imaging projects Contributor to 11 publications with international collaborations Focus on tumor microstructure and cerebellar imaging applications His research on Diffusion-weighted MRS and time-dependent diffusion imaging has applications in glioblastoma diagnostics and neurodegenerative disease studies. Recent work explores clinical MRI-Linac integration for radiotherapy monitoring and extracellular diffusion dynamics in human tissue.

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Poul Martin Bendixمشاهده پروفایل

دانشیار

University of CopenhagenDenmark

Dr. Pól Martin Bendix is an Associate Professor at the Niels Bohr Institute at the University of Copenhagen, where he leads the Experimental Biophysics laboratory. He holds a permanent faculty position since 2018 and previously served as Assistant Professor at the same institution. Bendix earned his PhD in Biophysics from the University of Copenhagen in 2007, with research conducted at Harvard University, followed by postdoctoral positions at the University of Copenhagen's Nanoscience Center and Stanford University. His research focuses on nanoscale biophysical processes, including thermoplasmonics of nanostructures, membrane protein dynamics, cell surface biophysics, membrane repair mechanisms, optical trapping techniques, and super-resolution microscopy (STORM). His investigations span both fundamental biophysics and biomedical applications, particularly in cancer therapy development. Analysis of recent publications reveals concentrated work in membrane biophysics and thermoplasmonics, with applications in targeted cancer therapy and cellular engineering. His 2019 review in Chemical Reviews comprehensively covered plasmonic heating mechanisms, while his 2017 Nature Chemical Biology article demonstrated membrane curvature's role in GPCR sorting. Awards & Recognition: Young Investigator Award (2012), Villum Foundation Sapere Aude Research Leader Grant (2015), Danish Council for Independent Research Academic Leadership: Bendix supervises 3 PhD students and 3 postdoctoral researchers, and has mentored approximately 10 Master's students. He teaches courses in Introduction to Biophysics and Cell Mechanics at both the Niels Bohr Institute and Food Science programs. As principal investigator, he has secured funding from Lundbeck Foundation and Novo Nordisk Foundation, and previously served on the editorial board of Scientific Reports. He leads the Experimental Biophysics laboratory at the Niels Bohr Institute, where his group investigates membrane dynamics, nanoparticle-cell interactions, and develops advanced optical techniques for biological applications. His international collaborations include work with researchers at Stanford, Harvard, and through EU networks like MPNS COST Action.

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Jon Sporringمشاهده پروفایل

استاد

University of CopenhagenDenmark

Jon Sporring is a Professor at the Department of Computer Science, University of Copenhagen, specializing in theoretical and applied image processing, stochastic geometry, and biomedical imaging. He leads research in mathematical and medical image analysis, computer graphics, and pattern recognition. Education: Ph.D. in Computer Science (1998), Master in Computer Science (1995), both from University of Copenhagen Affiliations: Pioneer AI section, Applied Geometry Lab, and Faculty of Science External Roles: Visiting professor at McGill University (2012-13), co-founder of DigiCorpus Aps (2012-16) His research integrates scale-space theory, statistical shape analysis, and advanced imaging techniques for applications in medical diagnostics, materials science, and neuroscience. Recent work focuses on 3D reconstruction, persistent homology for bias correction, and AI-driven biomedical analysis. Jon teaches computer science at all academic levels, currently offering courses in bioimaging, signal processing, and deep learning. He emphasizes collaborative projects with external partners and has held administrative roles including Vice-Chair for Research at DIKU. His 15 most recent publications reflect expertise in medical imaging, 3D modeling, and AI applications, with subfields spanning neurodegenerative disease analysis, mitochondrial ultrastructure, and multi-scale image processing. Articles demonstrate interdisciplinary impact across medicine, biology, and materials science.

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Ursula Gerda Inge Falkmerمشاهده پروفایل

استاد بالینی

Aalborg UniversityDenmark

Ursula Gerda Inge Falkmer is a Clinical Professor at the Faculty of Health Sciences , Aalborg University Hospital , specializing in Cancer Treatment . With 194 publications and extensive research activity from 1985–2024, her work focuses on neoplasm, breast cancer, radiation therapy, and cancer treatment optimization. Clinical Professor at Aalborg University Hospital Department of Cancer Treatment Research areas: Neoplasm, Breast Cancer, Radiation Therapy Key projects: CHEMOFIRE-2 (chemotherapy + irreversible electroporation for pancreatic cancer) Research Trends : Recent articles highlight advancements in breast cancer radiotherapy (nodal boosts, respiratory gating, cardiac toxicity mitigation), radiation-induced diarrhea management in pelvic cancer, and chemotherapy pain dynamics . Her work bridges medical physics and oncology , emphasizing precision radiotherapy and biomarker discovery. Scientific Contributions : 15+ recent publications in Radiotherapy and Oncology , Scandinavian Journal of Pain , and Critical Reviews in Oncology/Hematology 18 research datasets on exosome proteomics in small cell lung cancer (2022) Media Engagement : Featured in cancer therapy discussions (2023: fruit-based cancer claims; 2018: radiation resistance research; 2015: tobacco funding ethics).

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Vikram Vinod Shanbhogueمشاهده پروفایل

دانشیار بالینی

University of Southern DenmarkDenmark

Vikram Vinod Shanbhogue is a Clinical Associate Professor at the University of Southern Denmark, affiliated with the Department of Regional Health Research and the Research Unit of Endocrinology at Esbjerg and Grindsted Hospital. His research focuses on metabolic bone disorders using advanced imaging techniques. Primary research interests include: Assessment of bone density, strength, and microarchitecture Clinical applications of quantitative computed tomography (QCT) and dual-energy X-ray absorptiometry (DXA) Bone health in genetic disorders (Marfan syndrome), diabetes, and metabolic conditions Bone remodeling biomarkers and turnover mechanisms His recent publications (2019-2024) demonstrate consistent focus on bone pathology in special populations, employing methodologies ranging from randomized controlled trials to cross-sectional biomarker studies. Research frequently incorporates advanced imaging modalities and explores clinical applications for mobility-limited, pediatric, and genetically predisposed patients.

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Lasse Riis Østergaardمشاهده پروفایل

دانشیار

Aalborg UniversityDenmark

Lasse Riis Østergaard is an Associate Professor at the Department of Health Science and Technology, Aalborg University, affiliated with The Faculty of Medicine. His research focuses on medical imaging, AI applications in healthcare, and computational methods for analyzing medical images, particularly in CT and MRI. He leads projects such as 'Modelling and quantification of the cerebral cortex' and contributes to initiatives like the Danish Centre for Health Informatics and AI for the People. Key research areas include: Medical Image Analysis: Specializing in segmentation, artifact reduction, and quantitative measurements in CT/MRI AI in Surgery: Developing deep learning models for surgical action recognition and robotic skill assessment Clinical Applications: Investigating body composition via CT, lung function correlations, and placental vascular imaging He has authored over 120 publications and supervised 5 PhD students. Notable collaborations include work with the Virtual Brain project and NemoMed. Recent studies explore ethnic differences in body composition and AI-driven surgical training. Awards: None explicitly listed, but his work has received media attention including coverage in Surgical Endoscopy and Advances in Respiratory Medicine .

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Adelina Rogowska-Wrzesinskaمشاهده پروفایل

دانشیار

University of Southern DenmarkDenmark

Adelina Rogowska-Wrzesinska is an Associate Professor at the Department of Biochemistry and Molecular Biology, University of Southern Denmark. Specializing in Biomedical Mass Spectrometry and Systems Biology , her research spans proteomics, oxidative stress, protein oxidation, and 3D cell culture models. Affiliation : Department of Biochemistry and Molecular Biology, University of Southern Denmark Academic Role : Teaching and research leadership Her research interests focus on: Redox biology and protein oxidative modifications 3D spheroid models for disease and toxicity studies Mass spectrometry-based proteomics and lipidomics Oxidative stress in cellular senescence and disease Plant stress responses and proteomics Scientific Trends : Recent publications highlight advancements in 3D culture modeling (NAFLD, genotoxicity), redox proteomics (glutathionylation, disulfide bonds), and multi-omics integration (chromatin proteomics, lipidome mapping). Teaching and Supervision : She has supervised multiple PhD students (e.g., Christina Erika Hagensen, Helle Frandsen) and taught courses like Basic Biochemistry (BMB530) and Fundamental Molecular Biology (BMB504) .

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