جست‌وجوی استاد و پژوهشگر

• Pharmaceutical Sciences
• Biophysics
• Physical Chemistry
• +۶ مورد دیگر

Stine Rønholt is an Associate Professor at the Department of Pharmacy, University of Copenhagen, and a key researcher at the LEO Foundation Center for Cutaneous Drug Delivery. She holds a PhD in Food Biophysics (2013) and an MSc in Pharmacy (2009) from the University of Copenhagen, with additional experience as a pharmacist at Landsapoteket Dronning Ingrids Hospital. Her research integrates physical chemistry, biophysics, and pharmaceutical sciences to study biological barrier interactions (skin/mucus) with drug delivery systems. She specializes in advanced techniques including synchrotron X-ray scattering, neutron scattering, rheology, and cryo-microscopy to develop multimodal platforms for analyzing interactions between drug carriers (e.g., ionic liquids) and biological barriers. Her publications reflect dual expertise in pharmaceutical delivery (e.g., peptide-based transepithelial delivery) and food science (dairy fat crystallization, butter microstructure). Research consistently employs rheological and microstructural analysis across domains. No scientific awards or student advising roles are mentioned in available materials. She has participated in 28 academic activities including conferences (e.g., AAPS Annual Meeting) and peer review for journals like the Journal of Food Engineering .

Xin Suiمشاهده پروفایل

استادیار

• Lithium-Ion Batteries
• Battery Management Systems
• State of Health Estimation
• +۵ مورد دیگر

Xin Sui is an Assistant Professor at Aalborg University's Department of Power Electronics System Integration and Materials, within the Faculty of Engineering and Science. His research focuses on lithium-ion battery systems, with particular emphasis on state of health estimation, thermal modeling, and the integration of artificial intelligence into battery management. He collaborates on projects like CROSBAT (SMART BATTERY) and leads PhD supervision in areas such as digital twin development and battery aging prediction. Research interests include battery thermal management, machine learning applications for state estimation, and smart battery design. His work bridges physics-based models with data-driven approaches to enhance battery performance and longevity. Recent publications highlight advancements in sensorless temperature estimation, multi-level battery simulation frameworks, and digital twin technologies for energy systems. Xin Sui is a finalist in the 2025 Nordic Energy Challenge for the SynDiv initiative, exploring gender-balanced teams' impact on energy transition strategies. He actively participates in interdisciplinary projects, advising PhD candidates on topics ranging from battery aging to AI-driven monitoring systems.

Yubin Zhangمشاهده پروفایل

پژوهشگر

• Microstructure Engineering
• Materials Science
• Tomography
• +۶ مورد دیگر

Yubin Zhang serves as a Senior Researcher at the Department of Civil and Mechanical Engineering, Technical University of Denmark (DTU), with expertise in advanced materials characterization. His primary affiliation is with DTU Mechanical Engineering (MEK), where he contributes to the 3D Imaging Center (3DIM) project and conducts research on microstructure engineering of metallic materials. His research focuses on Microstructure Engineering, Materials Science, and Tomography, with specialized expertise in aluminum alloys, recrystallization phenomena, nucleation mechanisms, and grain boundary dynamics. He integrates experimental techniques like X-ray microscopy with computational approaches including deep learning for microstructural analysis, enabling precise characterization of deformation and phase transformations in complex materials. Recent publications demonstrate a clear trend toward multimodal 3D/4D imaging techniques combined with machine learning for microstructure quantification. His work bridges fundamental materials science with industrial applications, particularly in additive manufacturing and aluminum processing, where advanced imaging provides critical insights into material behavior during thermo-mechanical treatments. As a dedicated supervisor, Dr. Zhang mentors PhD candidates including Defer, M. C. on additive manufactured AlSiMg alloys, Knipschildt-Okkels, E. F. F. on recrystallization nucleation, and Lindkvist, A. A. on residual stresses in multiphase steels. His research is supported through major grants including the 3DIM project (2016-2029) and Microstructural Engineering of Additive Manufactured AlSiMg (2023-2026), where he serves as Principal Investigator and supervisor respectively. Dr. Zhang operates within DTU's 3D Imaging Center, a state-of-the-art facility utilizing synchrotron radiation and laboratory X-ray sources for non-destructive 3D characterization. His team specializes in diffraction contrast tomography, dark field X-ray microscopy, and machine learning applications for microstructure analysis, with strong collaborations across European research institutions.

Diego Jesus De Souzaمشاهده پروفایل

پژوهشگر ارشد

• Concrete Durability
• Materials Science
• Civil Engineering
• +۴ مورد دیگر

Diego Jesus De Souza is a Postdoctoral Researcher at the Department of Environmental and Resource Engineering, Technical University of Denmark (DTU). His work contributes to sustainable construction and the UN Sustainable Development Goals, focusing on concrete durability and degradation mechanisms. De Souza's research centers on concrete durability, particularly alkali-silica reaction, sulfate attack, and carbonation-induced degradation. He investigates the role of supplementary cementitious materials, thermodynamic modeling of degradation processes, and repair techniques such as realkalization. His work bridges laboratory experiments with field assessments to enhance concrete longevity in aggressive environments, supporting sustainable infrastructure development. His recent publications (2025) address critical challenges in concrete performance, including biogenic sulfuric acid attack in sewers, ammonium sulfate corrosion in fertilizer plants, and pyrite oxidation. He contributes to standardization efforts (RILEM) and develops test methods for sulfate resistance. Common themes are the use of advanced characterization techniques (XRD, thermogravimetry) and the evaluation of innovative binders for durable, low-carbon concrete. De Souza is active in the research community, presenting at conferences (e.g., SynerCrete 2023) and participating in workshops like the Eurotech Marie Skłodowska–Curie Postdoctoral Bootcamp. He serves as a peer reviewer for journals such as Materials and engages in collaborative projects focused on sustainable concrete solutions.

Alice Bastos da Silva Fantaمشاهده پروفایل

پژوهشگر

• Material Science
• Microstructural Analysis
• Electron Backscatter Diffraction
• +۷ مورد دیگر

Alice Bastos da Silva Fanta is a Senior Researcher at the National Centre for Nano Fabrication and Characterization, Technical University of Denmark (DTU), where she specializes in microstructural analysis of materials using advanced electron microscopy techniques. She operates the Helios dual-beam FIB system and supports training and TEM specimen preparation. Her work is embedded within the College of Engineering, focusing on high-resolution characterization of engineered materials. Research Interests: Her expertise lies in electron backscatter diffraction (EBSD), transmission Kikuchi diffraction (TKD), in-situ heating experiments, and microstructure evolution in metals and thin films. She investigates materials under extreme thermal conditions, particularly in additive manufacturing and electrodeposited systems. Her fingerprint includes strong activity in Material Science , Scanning Electron Microscopy , Thin Films , and Grain Boundary Analysis . Recent Publication Trends: Her latest work emphasizes in-situ characterization methods, combining SEM and TEM to observe real-time microstructural changes during heating. Topics include plasma arc additive manufacturing, temperature effects on EBSD data, and novel indexing techniques for diffraction patterns. These reflect a strong trend toward dynamic, high-resolution materials analysis. Supervision & Projects: She actively supervises multiple PhD students in projects related to nanocharacterization of carbon materials, additive manufacturing, and friction stir welding. Her collaborative network spans DTU and international partners, with recent presentations at major materials science conferences. Scientific Contributions: While no formal awards are listed, her continuous publication record, supervision roles, and invited talks demonstrate significant impact in the field of microstructural analysis. Laboratory Affiliation: She is a key member of NanoLab DTU , contributing to the development and application of cutting-edge nanocharacterization techniques.

Bingdong Changمشاهده پروفایل

پژوهشگر

• Nanofabrication
• Microelectromechanical Systems (MEMS)
• Plasma Processing
• +۳ مورد دیگر

Bingdong Chang is a Researcher at the Department of Civil and Mechanical Engineering, Technical University of Denmark (DTU), specializing in advanced nanofabrication and materials science. His work contributes significantly to UN Sustainable Development Goals through innovative engineering solutions. His research focuses on nanofabrication techniques including ice lithography, plasma etching, and nanowire synthesis. Key interests span Reactive ion etching optimization Nanocrystalline material development Semiconductor manufacturing processes Microelectromechanical systems (MEMS) Plasma diagnostics innovation with notable expertise in silicon processing and photoresist engineering. Chang's publication portfolio demonstrates strong trends in nanoscale manufacturing and materials characterization , particularly in lithography advancements and plasma processing. His work bridges fundamental materials science with practical applications in microdevice fabrication. His completed PhD project Technology Development for Silicon NEMS devices (2015-2019) established foundations in etching processes, microstructure analysis, and nanowire fabrication using zinc oxide. Current research extends into neuromodulation devices and advanced photopolymerization techniques. Chang actively collaborates internationally, with research networks spanning multiple continents. His laboratory work emphasizes precision nanofabrication techniques and novel material synthesis approaches for next-generation microdevices.

John Haldمشاهده پروفایل

استاد

• Materials Science
• Surface Engineering
• Corrosion
• +۷ مورد دیگر

John Hald is a Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), specializing in Materials and Surface Engineering. His research is centered on the degradation and performance of advanced materials in extreme environments, particularly focusing on corrosion, oxidation, and microstructural evolution in high-temperature and aggressive chemical conditions. His research interests span materials science, surface engineering, high-temperature corrosion, molten salts, energy materials, and metallic alloys . He investigates the behavior of materials such as stainless steels, nickel-based alloys, and protective coatings under operational stress relevant to energy technologies including solid oxide cells and molten salt reactors. His work integrates experimental characterization with practical engineering applications. The recent publications highlight a strong trend in corrosion mechanisms in molten hydroxides, thermophysical properties of fluoride salts, and protective surface treatments for industrial applications. These studies employ techniques such as scanning electron microscopy, X-ray diffraction, and long-term environmental testing to understand material degradation and improve durability. John Hald plays a significant role in academic mentorship, having served as main supervisor for multiple PhD projects at DTU. These include research on flowmeter materials, interconnects for solid oxide cells, and containment materials for molten hydroxides. While specific grant details are not listed, his supervision of externally and self-financed PhD projects indicates successful acquisition of research funding. He is actively involved in collaborative research networks at DTU and beyond, contributing to interdisciplinary efforts in nuclear and energy engineering. He co-organized the Nuclear Engineering Educational Workshop in February 2025, reflecting engagement in academic community building.

Anders Nymark Christensenمشاهده پروفایل

دانشیار

• Image Analysis
• Computer Vision
• Medical Imaging
• +۷ مورد دیگر

Anders Nymark Christensen is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), specializing in Visual Computing. His work bridges computer vision, medical imaging, and materials science, with a strong focus on explainable AI in clinical applications and structural analysis of complex materials. Institution: Technical University of Denmark (DTU) School: Department of Applied Mathematics and Computer Science Department: Visual Computing Role: Associate Professor Christensen’s research interests include image analysis, computer vision, explainable AI, ultrasound imaging, fetal medicine, and fiber orientation in composites. He applies advanced computational techniques to solve real-world problems in healthcare and materials engineering, particularly through structure tensor analysis and deep learning. His recent publications highlight a strong trend in developing AI tools for clinical decision support in fetal medicine, structural analysis of food and composite materials, and ultrasound imaging. These works span journals such as Scientific Reports , Food Structure , and IEEE Access , reflecting interdisciplinary innovation. Clinical validation of explainable AI for fetal growth scans Characterization of anisotropy in mozzarella cheese Determining fetal orientations from ultrasound video Structure tensor analysis in composites He supervises several PhD students in projects related to AI in skin lesion analysis, cancer detection, and ultrasound imaging. His collaborative network includes key researchers at DTU such as Anders Bjorholm Dahl, Vedrana Andersen Dahl, and Mads Nielsen. He has been involved in significant research grants and is active in both medical and engineering domains, contributing to open datasets and reproducible research. Christensen leads and contributes to numerous active projects, including: Decision Support AI for Skin Lesions (2024–2027) Fighting Cancer with Generative AI (2024–2027) SONAI: Explainable AI in the Clinic (2022–2026) Deep learning for identifying biomarkers in medical images (2022–2025) His work supports UN Sustainable Development Goals related to health, innovation, and responsible consumption, particularly through advancements in medical diagnostics and sustainable materials.

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

• Glaciology
• Ice-sheet dynamics
• Crystal orientation fabric (CPO)
• +۵ مورد دیگر

Nicholas Mossor Rathmann is an Assistant Professor at the Niels Bohr Institute , University of Copenhagen , working within the Physics of Ice, Climate and Earth department. His research focuses on the rheology and dynamics of ice sheets, particularly the role of crystal orientation fabrics in large-scale ice flow, subglacial hydrology, and climate-driven ice mass changes. His recent work includes modeling firn densification, simulating crystal fabric evolution in polycrystalline ice and olivine, and analyzing the mechanical strength of glacier ice using field and remote sensing data. His publications span high-impact journals such as Nature Communications , Journal of Glaciology , and The Cryosphere . He collaborates extensively with international teams and contributes to major polar research initiatives, including the EastGRIP ice core project and Greenland Ice Sheet modeling efforts.

• Climate Science
• Glaciology
• Ice Core Research
• +۵ مورد دیگر

Dorthe Dahl-Jensen is a Professor of Geophysics at the Niels Bohr Institute, University of Copenhagen, where she leads the Ice, Climate and Geophysics research group. As Director of the Center of Excellence for Ice and Climate, she oversees major international research initiatives focused on understanding past climate through ice core analysis and modeling ice sheet dynamics. Her leadership extends to chairing the NEEM Steering Committee and previously leading the NGRIP deep drilling program. University of Copenhagen (2002-present): Professor, Niels Bohr Institute Center of Excellence for Ice and Climate: Director NEEM Deep Drilling Project: International Coordinator IPY Cluster 'Stability of the Greenland Ice Sheet': Cluster Leader Royal Danish Academy of Sciences: Member Dahl-Jensen's research focuses on reconstructing past climate records using ice cores and borehole data, with particular emphasis on the Greenland Ice Sheet. Her work combines theoretical modeling of ice flow with empirical analysis of ice core data to understand both historical climate patterns and future ice sheet behavior. She specializes in developing anisotropic flow laws to describe ice deformation and uses radio echo sounding to map ice fabric and subglacial conditions. Her current research projects include the ERC Advanced Grant WATERundertheICE and the EU FP7 Past4Future program, which aim to understand past warm periods and improve projections of ice sheet response to climate change. Her publication record demonstrates expertise across multiple disciplines, with recent work spanning glaciology, remote sensing, paleoclimatology, and climate science. The research themes consistently focus on ice sheet dynamics, climate reconstruction, and the implications of past climate changes for understanding current and future warming. Her team's work on the Northeast Greenland Ice Stream has provided critical insights into ice fabric evolution and deformation mechanisms that govern ice flow. EU Descartes Price (2008) VEGA Medal (2008) Amalienborg Prize (2009) Munch Prize (2009) Multiple foundation honors including Inge Lehman's, Christine Meyers, and Ole Rømers Foundations Professor Dahl-Jensen has advised 38 PhD and Master's students throughout her career, currently supervising 4 PhD candidates and 2 Master's students. She has secured significant research funding including the ERC Advanced Investigators Grant WATERundertheICE (2010-2014) and coordination of the EU FP7 Past4Future project. Her leadership extends to chairing the Danish National Committee for the International Polar Year and serving on numerous international scientific boards including the Scientific Council of the ISAC and the Advisory Board for IDPO. She leads the Center of Excellence for Ice and Climate and coordinates the international NEEM deep drilling program involving 14 nations. Her research group operates multiple field sites in Greenland and maintains strong collaborations with international polar research institutions. The team utilizes advanced techniques including radio echo sounding, ice core analysis, and high-resolution climate modeling to investigate ice sheet dynamics and past climate conditions.

• Quantum Physics
• Superconductivity
• Nanowire Devices
• +۳ مورد دیگر

Yu Liu is a researcher at the Center for Quantum Devices within the Niels Bohr Institute at the University of Copenhagen. The Center for Quantum Devices focuses on cutting-edge research in quantum physics, particularly in areas related to spin qubits, topological quantum systems, novel devices, superconducting qubits, and quantum materials. Dr. Liu's research spans multiple disciplines within quantum physics and condensed matter. His primary focus appears to be on quantum devices, particularly investigating superconductivity in hybrid nanowire systems with ferromagnetic components. His work explores spin-split superconductivity, supercurrent transport, and spin-polarized bound states in semiconductor-superconductor-ferromagnetic-insulator hybrid structures. Beyond quantum physics, Dr. Liu has also published work in computer vision, mathematics, particle physics, transportation studies, and medical imaging, demonstrating remarkable interdisciplinary breadth. His recent publications (2021-2025) show a strong focus on quantum transport phenomena in hybrid nanostructures, particularly examining the interplay between superconductivity, ferromagnetism, and spin-orbit coupling in nanowire systems. These investigations have important implications for the development of topological quantum computing platforms and novel quantum devices. The observed phenomena include supercurrent reversal near coercive fields of ferromagnetic insulators, spin-splitting exceeding induced superconducting gaps, and percolative supercurrent flow in bilayer systems. Dr. Liu has collaborated extensively with researchers at the Center for Quantum Devices, including P. Krogstrup, S. Vaitiekėnas, C. M. Marcus, M. Leijnse, and R. Seoane Souto. His work often involves experimental measurements combined with theoretical modeling to explain observed phenomena in quantum transport systems, bridging the gap between fundamental physics and potential quantum technology applications.

Vedrana Andersen Dahlمشاهده پروفایل

دانشیار

• Geometry Processing
• Image Analysis
• Computer Vision
• +۳ مورد دیگر

Vedrana Andersen Dahl is an Associate Professor at the Technical University of Denmark (DTU), Department of Applied Mathematics and Computer Science. Her research focuses on image analysis and geometry processing, including geometric texture analysis, deformable models, and tomographic data processing. She holds a PhD in Image Analysis and Computer Graphics from DTU (2007–2011), an MSc in IT from the IT University of Copenhagen (2005–2007), and a Diploma in Mathematics and Physics from the University of Zagreb (1992–1999). PhD: Technical University of Denmark (2007–2011) MSc: IT University of Copenhagen (2005–2007) Diploma: University of Zagreb (1992–1999) Her research interests span geometric texture analysis, deformable models, OCT data processing, and medical imaging applications. She has contributed to projects such as the Villum Experiment Grant (2022) and collaborates internationally on topics like placental tomography and fibrous composite analysis. Dahl supervises multiple PhD students in areas like medical image segmentation and X-ray imaging techniques. She has authored over 100 publications, with recent work focusing on 3D tomography, medical imaging, and machine learning applications. Her datasets, including BugNIST and STXAE, are widely used in academic and industrial research. Dahl also serves on review committees at institutions like the University of Copenhagen and University College Copenhagen.

Sebastian Andersenمشاهده پروفایل

استادیار

• Structural Engineering
• Computational Modeling
• Real-Time Simulations
• +۶ مورد دیگر

Sebastian Andersen is an Assistant Professor at the Department of Civil and Mechanical Engineering, specializing in Structures and Safety at the Technical University of Denmark (DTU). His research focuses on computational modeling, real-time simulations, material science, and structural engineering. He has led and collaborated on projects such as Next Generation of 3D-printed Concrete Structures and AwaPave, emphasizing innovation in construction materials and pavement analysis. He has supervised numerous PhD students, including Zafar Hussan and Andrés Caballero Arcos, and contributed to datasets like ALVA for layered viscoelastic analysis. Andersen received the Sund & Bælt Hackathon 2019 award and has published extensively on topics ranging from hybrid simulations to asphalt pavement mechanics. His research interests include structural optimization, 3D printing technologies, and advanced numerical methods for civil engineering applications. Notable contributions include developing the ALVA MATLAB package for pavement analysis and pioneering work on thermoset formworks for complex concrete structures. He has also been involved in activities such as supervising projects on suspension bridge submodelling and optimization techniques for structural longevity. Key Projects: Next Generation of 3D-printed Concrete Structures, AwaPave Supervised Students: Zafar Hussan, Andrés Caballero Arcos, Jesper Waldbjoern Key Awards: Sund & Bælt Hackathon 2019 Labs/Teams: Construct Lab (www.construct.dtu.dk), Structural Analysis Team