Find Academic Supervisors

Henning Friis PoulsenView profile

Professor

• X-Ray Diffraction
• Materials Physics
• Crystallography
• +4 more

Henning Friis Poulsen is a Professor and Section Leader at the Department of Physics, Materials Physics in Time and Space, Technical University of Denmark. He leads the Center 3D Imaging and focuses on advanced X-ray microscopy techniques, particularly dark-field X-ray microscopy and 3D imaging. His research explores microstructural dynamics, dislocation dynamics, and plastic deformation in materials, with applications in energy storage, planetary science, and biomedical imaging. His expertise spans X-ray diffraction, tomography, and computational modeling. Key research areas include dislocation identification, grain boundary analysis, and material characterization under extreme conditions. Collaborations involve institutions globally, addressing topics like Martian meteorites and semiconductor materials. Recent studies highlight advancements in 3D/4D imaging using free-electron lasers, dislocation-cell evolution, and multi-modal tomography for hydrous phases in meteorites. His work contributes to Sustainable Development Goals related to clean energy and planetary health. As a supervisor, he guides PhD students in projects on silicate dissolution, Martian meteorite analysis, and dislocation microscopy. His projects often combine experimental and computational approaches, emphasizing high-resolution structural characterization. Key facilities include the ESRF dark-field X-ray microscope and lab-based 3D diffraction systems. His lab focuses on developing novel imaging modalities to study materials at the microstructural scale, with implications for engineering and geoscience.

Niels Skat TiedjeView profile

Associate Professor

• Materials Science
• Manufacturing Engineering
• Additive Manufacturing
• +5 more

Niels Skat Tiedje is an Associate Professor at the Department of Civil and Mechanical Engineering, Technical University of Denmark (DTU). His research focuses on material processing, including casting, welding, additive manufacturing, and recycling. He holds expertise in solidification kinetics, microstructure analysis, and process modeling. Tiedje is involved in advancing sustainable materials and manufacturing methods aligned with UN SDGs. Education: Ph.D. in Materials Science, Risø National Laboratory (1991–1994) M.Sc. in Engineering, Technical University of Denmark (1983–1990) Research Interests: Tiedje’s work spans structure-property relationships in cast and additive-manufactured components, recycling of materials, and process optimization. Key topics include: - Casting design and quality control - Solidification thermodynamics and microstructural evolution - Metal additive manufacturing feedstock development - Sustainable material lifecycles. Advising & Projects: Supervises PhD candidates in projects like: Powder Metal Extrusion of TWIP Steel Design of Metal Powders for 3D Printing Numerical Modelling of Additive Manufacturing Heat Treatment Labs & Teams: Active in DTU’s materials research groups, collaborating internationally on projects related to casting, welding, and additive manufacturing innovations.

Jonathan R. BrewerView profile

Professor

• Lipid Biochemistry
• Nanofiber Engineering
• Epigenetics
• +5 more

Jonathan R. Brewer is a Professor at the University of Southern Denmark , affiliated with the Department of Biochemistry and Molecular Biology , SDU Climate Cluster , and ATLAS - Center for Functional Genomic Studies of Tissue Plasticity . His research spans lipid biophysics, epigenetics, and bioimaging. Key research areas: Lipid Biochemistry and Membrane Dynamics Epigenetic Mechanisms in Cancer Nanofiber and Plasmonic Engineering Environmental Impact of Nanoplastics Recent publications focus on melanoma modeling, epigenetic drug responses, and nanoplastic effects on aquatic organisms. He participates in major projects including Novo Nordisk Foundation Bioimaging Facility upgrades and NANOCHEM nanoscale characterization initiatives. Media engagement includes coverage of supermicroscope technology and environmental nanoplastic research in outlets like Environmental Science & Technology and Cell Metabolism .

Raghunandan SharmaView profile

Researcher

• Electrocatalysis
• Nanomaterials for Energy Applications
• Fuel Cell Technology
• +3 more

Raghunandan Sharma is a researcher at the Department of Green Technology (IGT) at the University of Southern Denmark (SDU Chemical Engineering). His work focuses on electrocatalysis, nanomaterials, and sustainable energy systems, particularly in proton-exchange membrane fuel cells (PEMFCs) and water electrolysis. He actively collaborates with international institutions like the European Synchrotron Radiation Facility and Paul-Scherrer-Institute. Education: Not explicitly stated Current Role: Special Consultant (Researcher) at SDU His research emphasizes improving oxygen evolution reaction (OER) catalysts through microwave-assisted synthesis, nanoparticle engineering, and degradation mechanism analysis. Key themes include: Microwave synthesis of Ir-IrOx and IrRu nanoparticles Durability enhancement of fuel cell electrodes Precious metal recovery from spent catalysts Interface engineering in electrochemical systems Recent publications highlight scalable synthesis methods, catalyst stability strategies, and environmental lifecycle analysis. Collaborative activities include synchrotron radiation studies and neutron source experiments. Teaching duties involve fluid mechanics, thermodynamics, and energy materials courses.

• Battery Components
• Lattice-Boltzmann Method
• Nanoscale Engineering
• +4 more

Martin Lautenschläger is an Associate Professor at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark (SDU Mechatronics), specializing in computational modeling and simulation of advanced engineering systems. His work bridges mechanical engineering and material science through high-performance computing, focusing on battery technologies, fluid dynamics, and nanoscale interactions. Academic Rank: Associate Professor Institution: University of Southern Denmark Research Focus: Battery microstructures, Lattice-Boltzmann methods, nanoscale lubrication, and multiphase flow simulations Research Trends: Recent publications emphasize pore-scale modeling of battery components, electrolyte filling processes, and multiscale approaches to optimize battery performance. His simulations span from molecular dynamics to continuum-level predictions, particularly in lithium-ion and lithium-sulfur systems. Collaborations: Active in interdisciplinary projects with institutions across Europe, focusing on energy storage, computational microstructure analysis, and manufacturing optimization. Teaching: Supervises master's and bachelor's theses in mechanical design, fluid dynamics, and battery technologies, while teaching core courses in mechanical engineering.

Hao LiView profile

Research Fellow

• Topology Optimization
• Mechanical Engineering
• Thermal Systems
• +2 more

Hao Li is a MSCA Postdoc Fellow and Visiting Scholar at LIP6 , affiliated with the University of Southern Denmark in the Department of Mechanical Engineering . His research focuses on advanced computational methods for topology optimization in thermal, fluid, and structural engineering systems. Education: Not explicitly stated in the provided text. Current Projects: Leading EU-funded research on heat exchanger design using multiscale models and machine learning. Dr. Li's work spans multiscale topology optimization, level-set methods, and fluid-structure interaction, with applications in microchannel cooling, compliant mechanisms, and biodegradable composites. His recent publications highlight advancements in 3D conjugate heat transfer, adaptive meshing, and eigenfrequency maximization. The trends in his research output (2017–2025) emphasize thermal-fluid systems , high-resolution structural optimization , and manufacturable composite designs . Notable subfields include triply periodic minimal surfaces for cooling channels, nonlinear buckling analysis, and phasor-based dehomogenization techniques. Teaching & Supervision: Currently supervising projects on topology optimization frameworks for heat sinks and high heat flux cooling. His past projects (2018–2023) include research on piezoelectric transducers and thermal-fluid system design. Labs & Collaborations: Collaborates with institutions in Japan and France, focusing on experimental validation and industrial applications. His network includes partnerships with researchers in structural mechanics, computational fluid dynamics, and additive manufacturing.

• Pharmaceutical Sciences
• Biophysics
• Physical Chemistry
• +6 more

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 .

Yubin ZhangView profile

Researcher

• Microstructure Engineering
• Materials Science
• Tomography
• +6 more

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.

Xin SuiView profile

Assistant Professor

• Lithium-Ion Batteries
• Battery Management Systems
• State of Health Estimation
• +5 more

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.

Diego Jesus De SouzaView profile

Research Fellow

• Concrete Durability
• Materials Science
• Civil Engineering
• +4 more

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 FantaView profile

Researcher

• Material Science
• Microstructural Analysis
• Electron Backscatter Diffraction
• +7 more

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 ChangView profile

Researcher

• Nanofabrication
• Microelectromechanical Systems (MEMS)
• Plasma Processing
• +3 more

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 HaldView profile

Professor

• Materials Science
• Surface Engineering
• Corrosion
• +7 more

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 ChristensenView profile

Associate Professor

• Image Analysis
• Computer Vision
• Medical Imaging
• +7 more

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 DyrbyView profile

Professor

• Medical imaging and analysis
• Magnetic Resonance Imaging
• Diffusion MRI
• +7 more

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.