جست‌وجوی استاد و پژوهشگر

Axel Thielscherمشاهده پروفایل

استاد

• Neuroscience
• Biomedical Engineering
• Medical Physics
• +۳ مورد دیگر

Axel Thielscher is a Magnetic Resonance Professor and Head of Section at the Department of Health Technology Magnetic Resonance Neurophysics, Technical University of Denmark (DTU). His research focuses on neuroimaging, non-invasive brain stimulation, and computational modeling of electric fields in the brain. He leads projects on transcranial magnetic stimulation (TMS), transcranial direct current stimulation (tDCS), and tumor treating fields (TTFields). His work integrates clinical applications with advanced MRI techniques and computational simulations. Research interests include electric field modeling for brain stimulation, neuroimaging methodology, and translational neuroscience. He collaborates internationally on guidelines for concurrent TMS-fMRI and clinical trials of neurostimulation therapies. His lab develops open-source tools like SimNIBS for electric field simulations and MRI-based dosimetry. Recent articles emphasize optimizing TMS coil positioning, validating electric field simulations, and exploring neural mechanisms underlying stimulation effects. He advises multiple PhD students and has contributed to over 155 publications, including work on magnetic resonance current density imaging and personalized head modeling.

Tim Pat McGinleyمشاهده پروفایل

دانشیار

• Building Information Modeling
• Computational Design
• OpenBIM
• +۷ مورد دیگر

Tim Pat McGinley is an Associate Professor in Building Design at the Department of Civil and Mechanical Engineering, Technical University of Denmark (DTU), where he leads studies in Digital Building Technologies. His work bridges architecture, engineering, and computational science, focusing on innovative design processes and digital tools. His research interests include: Building Information Modeling (BIM) and OpenBIM Computational and meta-disciplinary design analysis Sustainable and circular building systems Integration of acoustics in architectural design Digital fabrication and design automation Educational frameworks for the AEC industry His recent publications highlight a strong trend toward interdisciplinary collaboration, digital transition in construction, and educational innovation in building design. Key themes include OpenBIM workflows, lifecycle analysis of building elements, and pedagogical models for sustainable construction. Scientific contributions and service include: Peer reviewer for journals such as Intelligent Buildings International , Frontiers in Built Environment , and Botany Editorial work in construction and built environment research Member of the Innovation Platform (external organization) He is actively involved in research projects such as Digital twins for large infrastructure facilities and Introduction to Building Information Modeling and Digitalization (IBIMD) , where he contributes as a supervisor and project participant. He previously co-founded the Morphogenetic Prototyping Lab and Agile X Research Group at the University of South Australia. Tim has international professional experience, having worked in the UK, Netherlands, Australia, and Denmark, with affiliations at Foster + Partners, ONL, and TU Delft’s Hyperbody Research Group. His academic journey includes an Engineering Doctorate from the University of Reading (2013).

Binbin Zhouمشاهده پروفایل

دانشیار

• Terahertz Engineering
• Mid-infrared Optics
• Solitary Wave Physics
• +۷ مورد دیگر

Binbin Zhou is an Associate Professor at the Department of Electrical and Photonics Engineering, Technical University of Denmark. His research focuses on ultrafast infrared and terahertz science, with expertise in nonlinear optics and 2D materials characterization. Active in 11 projects (2 active, 9 finished) Supervisor for 4 PhD students Contributed to 131 publications (as of 2025) Research Interests: Using terahertz technology to investigate fundamental properties of materials, including: Solitary wave dynamics Second harmonic generation Soliton compression phenomena Graphene plasmonics 2D material transport properties Mid-infrared optical processes Recent Work Trends: Focus on terahertz waveform detection techniques (2024-2025), graphene nanostructure analysis, and BBO crystal characterization for ultrafast optics.

Sara Monteiro Piresمشاهده پروفایل

پژوهشگر

• Burden of disease studies
• Source attribution studies of foodborne diseases
• Quantitative Risk-benefit Assessment
• +۸ مورد دیگر

Sara Monteiro Pires is a Senior Researcher at the Research Group for Risk Benefit within the National Food Institute of the Technical University of Denmark (DTU). She serves as Head of PhD School at DTU Food and is actively involved in international public health initiatives. Her educational background includes an MS degree in Veterinary Medicine and a PhD in Epidemiology. Her extensive research experience includes research stays at prestigious institutions including the Centers for Disease Control and Prevention (CDC) in Atlanta, the National Institute for Public Health and the Environment (RIVM) in the Netherlands, and the Nutritional Research Institute in Lima, Peru. Core Group Member of the Foodborne Disease Burden Epidemiology Reference Group, WHO (2021-Present), Chair of Source Attribution Task Force Member of Core Group and Chair of Infectious Diseases Working Group for European Burden of Disease Network, COST ACTION 18218 (2019-2024) FAO-WHO Expert Consultation on Risks and Benefits of Fish Consumption (2023) Joint FAO/WHO expert meetings on microbiological risk assessment (JEMRA, 2016-2021) Her research portfolio demonstrates consistent focus on food safety, burden of disease modeling, and risk-benefit assessment. Recent publications (2024-2025) show particular emphasis on dietary risk factors, foodborne disease quantification, and methodological improvements in risk assessment. Her work spans multiple continents with collaborations across Europe, North America, and South America. Dr. Pires has supervised multiple PhD students through various projects including: Burden of Zoonoses in the EU Exploring pathways towards absolute sustainable and healthy diets Development of methods and tools for risk assessment of foods and diets Health impact of sustainable diets She is currently involved in the PARC (Partnership for the Assessment of Risks from Chemicals) project as a Principal Investigator. Her work contributes to several UN Sustainable Development Goals related to health, food safety, and sustainable food systems.

Søren Haubergمشاهده پروفایل

استاد

• Machine Learning
• Bayesian Inference
• Geometric Deep Learning
• +۱۱ مورد دیگر

Søren Hauberg is a Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), where he is affiliated with the Cognitive Systems group. His research lies at the intersection of machine learning, geometry, and probabilistic modeling, with applications in life sciences and computer vision. Department: Applied Mathematics and Computer Science Research Group: Cognitive Systems Institution: Technical University of Denmark (DTU) His research interests center on geometric deep learning , Bayesian inference , and manifold-based modeling . He explores how stochastic and geometric structures can improve machine learning models, particularly in modeling complex data such as biological sequences and medical images. His work integrates Riemannian geometry, Gaussian processes, and energy-based models to build more robust and interpretable AI systems. The recent publications reveal a strong trend toward geometric representation learning , fairness in generative models , and computational methods for biological data . His team investigates latent space geometries, develops efficient GPU-based numerical algorithms, and applies foundational models to protein sequences. There is a clear emphasis on both theoretical rigor and practical implementation. Søren Hauberg actively supervises multiple PhD students and leads key projects in machine learning for life sciences. He is a project manager in the Center for Basic Machine Learning Research in Life Science , indicating leadership in interdisciplinary research. He also contributes to high-performance computing applications in statistical modeling. He is involved in several active research projects, including: Geometric Bayesian Deep Learning Stochastic Riemannian Geometry with Applications to Data Modelling The geometry of protein representations AI-driven Electron Tracking for High-Energy Radiation Detection

Tim Bjørn Dyrbyمشاهده پروفایل

استاد

• Medical imaging and analysis
• Magnetic Resonance Imaging
• Diffusion MRI
• +۷ مورد دیگر

Tim Bjørn Dyrby is a Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), specializing in Visual Computing. His research focuses on medical imaging, particularly diffusion MRI, tractography, and biophysical modeling of the brain. His research interests lie at the intersection of neuroscience, medical imaging, and computational modeling. Key areas include Diffusion MRI , Tractography , Axonal modeling , Myelin integrity , and quantitative MRI . He applies advanced computational techniques to understand brain microstructure and connectivity in both health and disease. His recent publications highlight a strong focus on standardization and methodological advancements in preclinical diffusion MRI, particularly in vivo and ex vivo imaging protocols. The work emphasizes data processing, validation against microscopy, and the application of tractography for neural pathway mapping. There is a growing emphasis on linking MRI-derived biomarkers to neurophysiological properties such as conduction velocity. Tim Dyrby actively supervises PhD students and leads significant research projects. He is the Principal Investigator (PI) of the CoM-BraiN project, which aims to develop a non-invasive framework for mapping conduction velocity in brain networks. His collaborative network is extensive, involving international experts in MRI physics and neuroscience. He is affiliated with the Visual Computing section at DTU Compute, where he contributes to advancing computational methods for brain imaging analysis. His work is supported by active research grants and contributes to key UN Sustainable Development Goals in health and well-being.

Kumari Poojaمشاهده پروفایل

پژوهشگر

• Machine Learning
• Deep Learning
• Image Processing
• +۴ مورد دیگر

Kumari Pooja is a Marie Curie Doctoral Researcher and PhD Student at the Technical University of Denmark (DTU), affiliated with the Department of Applied Mathematics and Computer Science Visual Computing. She contributes to open-source computational tools and geometric modeling. Research Interests: Machine Learning and Deep Learning for imaging 3D Visualization and Fiber Tracking Medical Imaging and Hyperspectral Data Analysis Optimizing Computational Efficiency in Image Reconstruction Scientific Contributions: Her work spans 3D Python tool development , deep unrolled neural networks , and hyperspectral classification architectures , with a focus on robustness to noise and multi-scale analysis. Awards: Marie Curie Doctoral Researcher Fellowship Contact: pooja@dtu.dk

• Astrophysics
• Cosmic Dust
• Supernovae
• +۴ مورد دیگر

Christa Gall is an Associate Professor at the Niels Bohr Institute , University of Copenhagen, specializing in astrophysics within the DARK and Cosmic Dawn Center (DAWN) research groups. Her work focuses on the life cycle of cosmic matter, particularly elemental synthesis in massive stars and subsequent cosmic dust formation. Research Areas : Astrophysics, Cosmic Dust Evolution, Supernovae Studies, Galaxy Formation, Machine Learning Applications Projects : Villum Experiment COSMO-BRIDGE, LSST transient follow-up systems, Gravitational Wave Multi-messenger Studies Methodologies : Bayesian modeling, Hierarchical data analysis, Multi-wavelength observations Her publications demonstrate expertise in Type Ia supernova standardization, dust removal timescales in galaxies, and real-time transient detection systems. She contributes to machine learning implementations for time-domain astronomy and gravitational wave counterpart studies. Collaborations span institutions in Europe, North America, and Asia, with recent work appearing in Astronomy & Astrophysics and Monthly Notices of the Royal Astronomical Society . She actively participates in international telescope campaigns and data stream optimization initiatives.

• Glaciology
• Climate Science
• Geophysics
• +۵ مورد دیگر

Trine Dahl-Jensen is an Affiliate Associate Professor at the Niels Bohr Institute , University of Copenhagen, affiliated with the Physics of Ice, Climate and Earth department. Her research spans glaciology, seismology, and tectonic processes, focusing on Greenlandic geology and North Atlantic dynamics. Research Focus: Crustal structure, mantle dynamics, volcanic rifted margins, seismic data analysis, and paleoclimatology. The articles in her publication record highlight seismic investigations of Greenland margins, continental breakup mechanisms, and historical geological events. While not explicitly listing grants or teaching roles, her work contributes to understanding Earth's thermal evolution and tectonic history.

• Climate Physics
• Glaciology
• Geophysics
• +۳ مورد دیگر

Majbritt Kristin Eckert is a Research Fellow at the Niels Bohr Institute , University of Copenhagen, specializing in Physics of Ice, Climate and Earth . Her work focuses on interdisciplinary climate research, integrating glaciology and geophysics to study Earth's systems and paleoclimatic processes. Research Focus Dr. Eckert's research explores: Ice core analysis for climate reconstruction Earth system modeling Glaciological processes Climate dynamics

• Particle Physics
• High Energy Physics
• Higgs Boson Research
• +۳ مورد دیگر

Graig Wiglesworth is an Assistant Professor at the University of Copenhagen 's Niels Bohr Institute , affiliated with the Experimental Particle Physics department. His research focuses on particle physics, high energy physics, and quantum physics, with particular emphasis on ATLAS experiments at the Large Hadron Collider (LHC). Recent publications highlight his work on: Neural simulation-based inference for parameter estimation in ATLAS. Exotic Higgs boson decays and additional scalars in LHC Run 2 data. Charged-hadron yield measurements in photonuclear collisions. Vectorlike top quark searches and b-jet trigger commissioning. His current research explores Higgs boson properties, top quark dynamics, and detector optimization for ATLAS. He collaborates extensively with the ATLAS Collaboration and contributes to LHC data analysis frameworks. Contact: wigleswt@nbi.ku.dk

• Climate Science
• Glaciology
• Ice Core Analysis
• +۲ مورد دیگر

Helle Astrid Kjær is an Associate Professor at the Physics of Ice, Climate and Earth department within the Niels Bohr Institute at the University of Copenhagen . With 9 years of expertise in analyzing ice core impurities via Continuous Flow Analysis (CFA) , she has participated in 6 deep ice core campaigns across both hemispheres and developed novel CFA methods for acid and phosphorus. Her fieldwork includes 9 months across 6 seasons on the Greenland ice sheet. Education: Cand. Scient. in Geophysics Research Focus: Kjær's work centers on leveraging ice core impurities to reconstruct climate processes like volcanic eruptions, sea ice dynamics, and atmospheric transport. She contributes to projects such as ice2ice , investigating abrupt climate events and nutrient fluxes in polar ice. Article Trends: Her recent publications span Greenland and Antarctic ice core chronologies, aerosol and mercury fluxes during climate transitions, and DO event spatial patterns. Methodological innovations in CFA and field equipment like the Lightweight In-Situ Analysis (LISA) box are recurring themes. External Roles: She has held positions at institutions including the Desert Research Institute (USA) , National Institute for Polar Research (Japan) , and GNS Science (New Zealand) .

Keisuke Yoneharaمشاهده پروفایل

پژوهشگر

• Neuroscience
• Neurobiology
• Retinal Ganglion Cell Research
• +۶ مورد دیگر

Keisuke Yonehara is a Visiting Researcher at DANDRITE - Yonehara Group , Aarhus University, Denmark. His research spans neuroscience, neurobiology, and neuromodulation. Education: D.V.M., Ph.D. His research focuses on retinal ganglion cell dynamics, amacrine cell function, and neuromodulation mechanisms. He investigates how neural circuits encode visual information and how interventions like vagus nerve blockade affect anesthesia and neural oscillations. Recent publications highlight advancements in retinal circuit analysis and clinical neuromodulation applications , including open-source tools like RoentVR for neuroscience research. Yonehara leads projects on vagus nerve modulation, retinal computational motifs, and brain network topology, funded by organizations such as Jascha Fonden . Collaborations: S. Arvin, A. Glud, A. Matsumoto.

Patrizia Gragnaniمشاهده پروفایل

پژوهشگر ارشد

• Urban Climate
• Climate Action
• Sustainable Development
• +۳ مورد دیگر

Patrizia Gragnani is a Research Fellow in the Department of Technology and Innovation at the University of Southern Denmark, specializing in urban climate governance and sustainable development policy. Her work bridges international climate frameworks like the Paris Agreement with municipal implementation strategies, focusing on multilevel governance dynamics and administrative capacity building for local climate action. Her research centers on Urban Climate Action , Nationally Determined Contributions (NDCs) , and Sustainable Development Goals integration , employing methodologies such as configurational analysis and qualitative comparative analysis. She examines how cities operationalize global climate commitments through policy instruments, stakeholder engagement, and institutional innovation, with significant contributions to UN-Habitat and Global Green Growth Institute reports on urban NDC content and climate action frameworks. Recent publications reveal a clear trend toward evidence-based frameworks for strengthening urban climate governance, particularly through her 2025 configurational analysis of local government capacity and the 3-step NDC 3.0 framework. Her work consistently emphasizes actionable pathways for policymakers, highlighting Denmark’s role as a case study while expanding to African and global contexts through in-depth country analyses.

Julien Duxinمشاهده پروفایل

دانشیار

• Genome Maintenance
• DNA Repair
• Mechanisms of DNA-Protein Crosslink Repair
• +۳ مورد دیگر

Julien Duxin is an Associate Professor and group leader at the Novo Nordisk Foundation Center for Protein Research (CPR), affiliated with the Faculty of Health and Medical Sciences at the University of Copenhagen, Denmark. He previously worked at Harvard Medical School (2012–2016) under Johannes C. Walter. Education: PhD in Biochemistry (2005–2011) from Washington University in St. Louis, advised by Sheila Stewart, and a BSc in Chemistry (2000–2004) from Missouri State University. His research focuses on genome maintenance and DNA repair , particularly mechanisms of DNA-protein crosslink (DPC) repair induced by chemotherapeutic agents. His lab developed the first in vitro system for DPC repair (2014) and investigates how repair processes integrate with DNA replication. Key collaborations involve proteins like SPRTN, RFWD3, and the proteasome. His publications (2012–2021) explore ubiquitin signaling , translesion synthesis , and replication-coupled proteolysis in DNA repair, with implications for cancer therapy. The lab's work bridges biochemistry , molecular biology , and clinical oncology , targeting novel chemotherapeutic strategies.