جست‌وجوی استاد و پژوهشگر

Marco Beleggiaمشاهده پروفایل

دانشیار

• Transmission Electron Microscopy
• Electron Holography
• Magnetic Nanoparticles
• +۷ مورد دیگر

Marco Beleggia is an Affiliated Associate Professor at the National Centre for Nano Fabrication and Characterization, Technical University of Denmark (DTU), specializing in nanocharacterization. His research focuses on advanced electron microscopy techniques, particularly transmission electron microscopy (TEM) and electron holography, applied to magnetic nanostructures and nanoparticles. His research interests span Transmission Electron Microscopy , Electron Holography , Magnetic Nanoparticles , Magnetostatics , and Nanofabrication . He investigates the magnetic, dynamic, and structural properties of nanomaterials, with applications in energy conversion, data storage, and sustainable technologies. His work contributes to UN Sustainable Development Goals related to clean energy and responsible innovation. The recent publications reveal a consistent focus on the magnetic behavior of nanoparticles, electron beam interactions with materials, and the development of advanced microscopy techniques. Themes include hysteresis, relaxation dynamics, phase plate design, and in-situ characterization, indicating a strong interdisciplinary approach combining physics, materials science, and engineering. Scientific contributions and recognition: Active contributor to 198 publications. Supervisor in multiple PhD projects at DTU. Regular presenter at international conferences. Research funded through multiple active and completed projects. Advising and grants: Beleggia is actively involved in PhD supervision across various projects, including those on magnetic nanoparticles, phase plates, and high-frequency power electronics. His involvement in 13 research projects—12 completed and 1 active—demonstrates sustained funding and collaborative research efforts. These projects often involve interdisciplinary teams and external collaborators. Labs and teams: He is affiliated with the Nanocharacterization group at DTU’s National Centre for Nano Fabrication and Characterization, a leading facility for advanced electron microscopy and nanomaterial analysis. His work involves close collaboration with researchers in materials science, physics, and engineering, particularly in the development and application of electron holography and in-situ TEM techniques.

Morten Lunn Haubroمشاهده پروفایل

پژوهشگر

• X-ray Free Electron Laser Physics
• Solvation Dynamics
• Ultrafast X-ray Scattering
• +۴ مورد دیگر

Morten Lunn Haubro is a Postdoc researcher in the Department of Physics at the Technical University of Denmark (DTU), working within the Materials Physics in Time and Space research group. His research focuses on advanced X-ray techniques, particularly utilizing free electron lasers for studying dynamic processes in materials and molecular systems at ultrafast timescales. Haubro's research interests span X-ray Free Electron Laser Physics, Solvation Dynamics, and Ultrafast X-ray Scattering. His work involves developing and applying cutting-edge X-ray methodologies to investigate structural dynamics in materials and chemical systems. His research has particular emphasis on time-resolved techniques that capture molecular and material transformations as they occur. Analyzing his recent publications reveals a strong focus on pushing the boundaries of X-ray imaging and scattering techniques. His work spans multiple applications from materials science to chemical dynamics, with a consistent thread of developing and applying advanced X-ray methodologies to capture ultrafast processes. The research demonstrates significant technical innovation in instrumentation and methodology development. Haubro successfully completed his PhD project titled 'X-ray studies of solvation dynamics' which ran from March 2021 to July 2024. His research has gained visibility in the scientific community, with his work being picked up by multiple news outlets and shared across various social media platforms. His collaborative network extends across multiple institutions, as evidenced by his co-authorship on papers with researchers from various international institutions. His research group at DTU appears to be well-connected within the global X-ray science community, particularly in the specialized field of free electron laser applications.

Lucas Sales Queirozمشاهده پروفایل

استادیار

• Food Science
• Food Engineering
• Sustainable Food Processing
• +۵ مورد دیگر

Lucas Sales Queiroz serves as an Assistant Professor at the National Food Institute (DTU Food), Technical University of Denmark, focusing on sustainable food production engineering and contributing to UN Sustainable Development Goals for responsible consumption and production. His position involves active research leadership in emerging food technologies. His research spans critical areas in food science: Protein functionality and extraction from waste streams Ohmic heating and ultrasonication applications Brewers' spent grain and shrimp by-product valorization Food microstructure analysis (SEM, FTIR, DSC) Clean label food processing Green extraction technology development Recent publications (2025) demonstrate a cohesive trend: leveraging combined non-thermal technologies to enhance protein properties from underutilized sources while minimizing environmental impact. This aligns with his projects targeting circular economy solutions in dairy, plant, and seafood processing. Queiroz actively supervises PhD student R. K. Mikkelsen in the GRAINPEP project (2022-2025) and participates in major grants including SUSTAIN-A-BITE (2025-2028) and REMESS (2021-2024), all funded for sustainable food innovation and by-product utilization. He operates within DTU Food's Research Group for Food Production Engineering, driving collaborative work on minimal-processing technologies for nutrient-dense food products across international networks.

Noushad Bin Jamal Mمشاهده پروفایل

پژوهشگر

• Cement-based materials
• Crack growth
• Deep learning
• +۶ مورد دیگر

Noushad Bin Jamal M is a Postdoc researcher in the Department of Environmental and Resource Engineering at the Technical University of Denmark (DTU), specializing in microstructural analysis of engineering materials through advanced imaging and computational techniques. His research centers on cement-based materials, crack growth mechanics, and structural steel fatigue, utilizing X-ray computed tomography (XCT) integrated with deep learning for damage characterization. Key interests include digital volume correlation, heterogeneous material behavior, and micromechanical modeling of fatigue evolution in civil infrastructure systems. Recent 2025 publications demonstrate cross-disciplinary work bridging civil engineering, materials science, and artificial intelligence to solve complex durability challenges in construction materials. He actively contributes to the DTU research project Frontier: Digital volume correlation – unraveling Fatigue in heteROgeneous eNgineering maTERIals (2021-2025), developing novel methodologies for fatigue analysis in engineered materials. Based at DTU's Lyngby campus, he operates within the Materials & Durability research ecosystem, advancing sustainable infrastructure solutions through high-resolution material characterization.

Kristoffer Hougaard Madsenمشاهده پروفایل

استاد

• Neuroscience
• Functional MRI (fMRI)
• Computational Neuroscience
• +۱۱ مورد دیگر

Kristoffer Hougaard Madsen is a Professor at the Department of Applied Mathematics and Computer Science , Technical University of Denmark (DTU), specializing in Visual Computing and Cognitive Systems . His work focuses on brain function mapping using functional MRI (fMRI), with expertise in fMRI data analysis, study design, and noise reduction techniques. Education: Civil Engineer (Bioinformatics & Complex Systems) from DTU (2004) External Position: Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Hvidovre (since 2008) His research spans neuroimaging , brain network modeling , and neuromodulation techniques like transcranial magnetic stimulation (TMS) and deep brain stimulation (DBS). He supervises PhD projects on topics such as individual brain circuit modeling , cerebellum organization in schizophrenia , and cooperation behavior in children . Recent publications highlight his contributions to electric field optimization , time-dependent diffusion imaging for tumors, and high-resolution mapping of brain structures . His work aligns with UN Sustainable Development Goals related to health and well-being. He collaborates extensively with institutions like Copenhagen University Hospital and contributes to interdisciplinary research in neurodegenerative diseases (e.g., Parkinson’s, Multiple Sclerosis) and psychiatric disorders .

• Inverse Problems
• Geostatistics
• Seismology
• +۴ مورد دیگر

Klaus Mosegaard is a Professor at the University of Copenhagen's Niels Bohr Institute within the Physics of Ice, Climate and Earth department. His academic affiliation spans decades of research in computational geophysics and inverse problems methodology. His research focuses on computational aspects of inverse problems and geostatistics, with applications across seismology, planetary geophysics, geothermal investigations, and geomagnetism. Key contributions include development of algorithms for nonlinear inversion, particularly through Markov Chain Monte Carlo methods. His work bridges theoretical advances with practical applications in planetary seismology (including Mars interior studies), deep seismic lithosphere analysis, resource exploration, and thermal studies in Greenland ice shelves. Analysis of his 110+ publications reveals consistent innovation in probabilistic inversion techniques, with recent work integrating machine learning (particularly generative adversarial networks) with traditional geostatistical methods for reservoir characterization and facies modeling. His 2023-2025 publications demonstrate ongoing leadership in addressing dimensionality challenges in large-scale inverse problems. Best Paper Award Computers and Geosciences 2008 The Ole Rømer Grant for outstanding research in geophysics (1994) Teaching Award, Faculty of Science, University of Copenhagen (2000) Honorable Mention for Best Papers in Geophysics journal (2011) Mosegaard has delivered 25+ invited lectures on Bayesian inversion paradigms, Monte Carlo methods, and seismic inversion since 2020, including presentations at major international conferences. His research profile shows sustained external collaborations across planetary science and petroleum geophysics fields, with significant contributions to Mars interior modeling through InSight mission data analysis.

• Market Microstructure
• Financial Econometrics
• Asset Pricing
• +۲ مورد دیگر

Stefan Voigt is a Tenure Track Assistant Professor at the Department of Economics within the Faculty of Social Sciences at the University of Copenhagen. His research spans financial econometrics, blockchain technology, and big data applications in finance. University: University of Copenhagen School: Faculty of Social Sciences Department: Department of Economics Voigt's work focuses on market microstructure, asset pricing, and the integration of blockchain technology in financial systems. He has contributed to understanding arbitrage limitations in blockchain-based assets and developed tools for tidy finance using Python and R. His recent publications include studies on non-standard errors in financial data and factor models integration. These works highlight his expertise in econometric modeling and financial market analysis. WU Best Paper Award (2020) Danish Finance Institute Teaching Award (2022) Voigt's research has garnered significant attention, with over 20 citations in Scopus and widespread readership across academic platforms. His collaborative projects extend to institutions in Austria and the UK.

Tim Felle Olsenمشاهده پروفایل

پژوهشگر ارشد

• Microstructure
• Stream Surface
• Structural Engineering
• +۳ مورد دیگر

Tim Felle Olsen is a Research Fellow in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), specializing in computational structural design through topology optimization and additive manufacturing methodologies. His research expertise spans: Microstructure engineering Stream surface applications Structural performance analysis Additive manufacturing processes Multiscale modeling Frame field theory Recent publications (2022-2024) reveal a concentrated focus on de-homogenization techniques using stream surfaces and frame field-aligned multi-laminar structures, demonstrating significant advances in computational efficiency for complex engineering designs. His work bridges theoretical computational geometry with practical structural engineering applications, particularly in lightweight infill structures and manufacturing-ready topologies. He actively contributes to the Center of Excellence for Exascale CFD (2023-2026) as a project participant, advancing large-scale optimization for computational fluid dynamics. Previously, he completed his PhD research on "Irregular Grid Topology Optimization" (2019-2022) under supervision of leading experts including Niels Aage and Ole Sigmund. No scientific awards or student advisement activities are documented in the current profile.

Tianbo Yuمشاهده پروفایل

پژوهشگر

• Microstructure of Metallic Materials
• Materials Characterization
• Metal Alloys
• +۳ مورد دیگر

Tianbo Yu is a Senior Researcher in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), specializing in metallic microstructure analysis and industrial material applications. His work integrates advanced characterization techniques with manufacturing process optimization. Education: Bachelor degree from Tsinghua University PhD degree from Risø DTU Research Focus: Dr. Yu's expertise spans experimental microstructure characterization using electron microscopy and synchrotron X-ray techniques, microstructure evolution during deformation/annealing/additive manufacturing, and microstructure-property relationships in industrial alloys. His fingerprint analysis reveals dominant work in aluminum processing (65%), stainless steel (34%), mechanical strength (60%), and transmission electron microscopy (31%). Publication Trends: Recent 2025 publications demonstrate concentrated investigation into additively manufactured stainless steel microstructures, particle-stimulated nucleation in aluminum alloys, and deformation mechanisms in multilayered systems. These works consistently bridge fundamental microstructural phenomena with industrial manufacturing challenges, particularly in electric vehicle components and 3D printing. Supervision & Projects: Actively supervises five PhD candidates across DTU projects including sustainable aluminum busbars for EVs, LPBF stainless steel microstructure, and particle-stimulated nucleation. His collaborative network spans metallurgy, additive manufacturing, and semiconductor printing with international partners.

Søren Fæsterمشاهده پروفایل

پژوهشگر

• Wind Energy Systems
• Materials Science
• Additive Manufacturing
• +۳ مورد دیگر

Søren Fæster is a Senior Researcher at the Department of Wind and Energy Systems at the Technical University of Denmark (DTU). His research focuses on materials science, additive manufacturing, and structural analysis with applications in wind energy systems and metallurgy. He has led and participated in major projects such as the 3D imaging center (3DIM) and initiatives addressing offshore wind turbine blade erosion. His work frequently involves advanced techniques like tomography and scanning electron microscopy. Research Interests: Material characterization of wind turbine components Metallurgical processes in cast iron and aluminum alloys Non-destructive testing methodologies Additive manufacturing material optimization Awards: Recipient of the FEMS Lecture Price (2005). Key Projects: MicroLab at DTU Wind Energy (2021–present) 3DIM: 3D Imaging Center (2016–2029) EPE: Estimation and Prevention of Erosion on Off-Shore Wind Turbine Blades (2020–2023) Labs/Teams: Active in the Wind Energy Materials and Components Division, collaborating with interdisciplinary teams on advanced materials research.

Niels Leergaard Pedersenمشاهده پروفایل

استاد

• Machine Elements
• Structural Optimization
• Multibody Dynamics
• +۳ مورد دیگر

Niels Leergaard Pedersen is a Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). His research focuses on machine elements optimization, including gear design, bolt-plate assemblies, and multibody system simulations. He specializes in structural optimization techniques to enhance dynamic characteristics like eigenfrequencies and stress distribution. Pedersen’s work contributes to UN Sustainable Development Goals related to affordable and clean energy through advancements in wind turbine gear systems. He supervises PhD students such as P. J. D. Freitas (Structural Optimization for Modularization) and S. S. Madsen (Flexible Pavement Dynamics). His research projects span topics like shaft-hub connections, bolt thread optimization, and topology design of vibration modes. Pedersen is affiliated with DTU’s Solid Mechanics research group and maintains websites at mek.dtu.dk and construct.dtu.dk . His recent publications emphasize optimal design solutions for mechanical systems, including preloaded bolts, shaft-hub joints, and Chladni pattern-based vibration control. Pedersen’s interdisciplinary approach bridges mechanical engineering fundamentals with computational simulation tools for real-world applications in energy systems and infrastructure.

David Landoمشاهده پروفایل

استاد

• Credit Risk Modeling
• Financial Risk Management
• Derivatives Markets
• +۳ مورد دیگر

David Lando is a Professor of Finance at Copenhagen Business School, affiliated with the Department of Finance and the Center for Big Data in Finance (BIGFI). He holds a Master’s degree in Mathematics-Economics from the University of Copenhagen and a PhD in Statistics from Cornell University. His research focuses on credit risk modeling, financial risk management, derivatives markets, and corporate capital structure. He authored a seminal monograph on credit risk modeling (Princeton University Press) and has published in top journals like Econometrica and the Journal of Financial Economics. Education: MSc (Math-Econ, U Copenhagen), PhD (Statistics, Cornell) Roles: Former Director of the Center for Financial Frictions (2012–2022), former Chairman of Denmark’s Financial Supervisory Authority (2018–2020), current board member of pension fund P+ His research explores liquidity dynamics in credit markets, sovereign debt relief impacts, and systemic risk. Recent work analyzes emerging market credit spreads post-debt relief and bank equity risk. His articles often bridge theoretical models with empirical validation, emphasizing practical applications for regulators and practitioners. Awards: Best Paper on Quantitative Investments (2006) He advised PhD/Master’s students and consulted for institutions like Danmarks Skibskredit and Shell. His teaching includes advanced credit risk courses, and he maintains an active role in policy through board memberships and regulatory advising. Lando leads research initiatives at CBS and collaborates with international institutions, contributing to both academic discourse and real-world financial policy.

Rosario N. Mantegnaمشاهده پروفایل

استاد

• Econophysics
• Complex Networks
• Statistical Physics
• +۷ مورد دیگر

Rosario N. Mantegna is a Professor at the University of Palermo and holds visiting positions at Central European University and honorary status at University College London. Since 2017, he has been a member of the External Faculty at the Complexity Science Hub Vienna, reflecting his active engagement in interdisciplinary research on complex systems. His research lies at the intersection of statistical physics and economics, where he is recognized as one of the pioneers of econophysics and economic networks . His work explores financial markets through the lens of complex networks, high-frequency trading, information transfer, and data-driven modeling. He has led and participated in numerous international and national research projects, contributing foundational insights into market structure and dynamics. The recent publications (2017–2023) highlight a strong focus on network analysis in finance , clustering techniques , information theory applications , and fintech evolution . These works span disciplines including physics, finance, computer science, and data analytics, demonstrating a consistent interdisciplinary approach. Key themes include validation of network structures, trader clustering, and systemic risk assessment. His scientific contributions are recognized through editorial roles in major conference proceedings and collaborations with leading researchers in complexity science. While no formal awards are listed, his sustained publication record in high-impact journals and books underscores his influence in the field. Rosario Mantegna advises students and researchers through his leadership in research projects and academic supervision, though specific advisees are not named. He has been involved in significant research grants and collaborative initiatives across Europe, particularly in complexity science and financial network analysis. His work is closely tied to interdisciplinary research groups and networks, including those at the Complexity Science Hub Vienna and Central European University, where he contributes to advancing the science of complex systems.

Subburaj Karupppasamyمشاهده پروفایل

دانشیار

• Biomechanics
• Medical Device Design
• Computational Modeling
• +۵ مورد دیگر

Subburaj Karupppasamy is an Associate Professor at Aarhus University's Department of Mechanical and Production Engineering, leading interdisciplinary research focused on medical device design, biomechanics, and computational modeling for aging-related musculoskeletal disorders including osteoarthritis, osteoporosis, and scoliosis. His work integrates engineering methodologies with clinical applications to develop diagnostic tools and treatment systems. Research interests span biomechanics, medical device innovation, diagnostics, computational modeling, and AI-driven design tools. His team employs medical imaging, 3D geometric analysis, finite element modeling, and mechanobiology principles to address bone and spine health challenges, emphasizing translational outcomes through industry and clinical collaborations. Publication trends reveal a dominant focus on computational biomechanics for vertebral fracture prediction, with significant contributions to finite element analysis optimization, medical device manufacturing, and design cognition studies. Recent works also explore VR/AR/MR systems for medical training and additive manufacturing of fabrics, demonstrating cross-disciplinary applications. Scientific Awards: No specific awards, fellowships, or medals listed in source text He actively supervises PhD candidates as evidenced by his participation in the Foundational Course in PhD Supervision (November 2023) and membership on PhD examination boards. His research has generated 4 patents and 2 technology transfers but grant details remain unmentioned. The team operates within Aarhus University Engineering facilities, utilizing medical imaging, finite element simulation, and AI tools for musculoskeletal health research. Collaborations with clinical institutions and industry partners drive their mission to translate engineering solutions into practical healthcare technologies for improving quality of life in chronic conditions.

Per Lyngs Hansenمشاهده پروفایل

دانشیار

• Biophysics
• Food Science
• Mechanical Engineering
• +۳ مورد دیگر

Per Lyngs Hansen is an Associate Professor in the Department of Mechanical and Production Engineering at Aarhus University's College of Engineering. His research bridges physics, food science, and biotechnology. Primary Affiliation: Aarhus University, College of Engineering Role: Associate Professor in Fluids and Energy His research interests include: Biophysics of soft matter and lipid membranes Gastrophysics (physics of gastronomy) Non-equilibrium thermodynamics in food and biological systems Digital food design and optimization Membrane engineering for pharmaceutical and synthetic biology applications Publication Trends show interdisciplinary work in physics-driven food preparation (e.g., jellyfish), dielectric spectroscopy for agricultural analysis, and advanced lipid vesicle engineering. Collaborative studies focus on self-replicating systems and orientational texture dynamics.