جست‌وجوی استاد و پژوهشگر

Mark C. Kellyمشاهده پروفایل

دانشیار

• Atmospheric stability modeling
• Atmospheric turbulence
• Boundary-layer meteorology
• +۷ مورد دیگر

Mark C. Kelly is an Associate Professor in the Resource Assessment and Meteorology Wind Energy Systems Division at the Department of Wind and Energy Systems, Technical University of Denmark (DTU). His research focuses on advancing wind energy modeling and resource assessment through sophisticated atmospheric science approaches. His primary research interests include: Atmospheric stability modeling and representation of buoyancy effects Atmospheric turbulence and subgrid modeling Scale-dependent terrain characterization Mesoscale-microscale interaction Probabilistic meteorological characterization for wind energy applications Air-sea interaction and marine boundary layer processes His recent publications show a strong trend toward uncertainty quantification in wind resource assessment, advanced modeling techniques for wind farm flow simulations, and the development of probabilistic approaches for turbine design. His work bridges fundamental atmospheric science with practical wind energy applications, particularly focusing on how to better model complex atmospheric phenomena for improved wind energy prediction and resource assessment. Dr. Kelly is actively involved in supervising PhD students and research projects. He serves as the Principal Investigator for the WAsP Scientific Development project and is a key participant in several major initiatives including AWETRAIN (Airborne Wind Energy Training) and IEA Wind Tasks 41 and 54. His editorial work includes serving as an editor for Theoretical and Applied Climatology and as a reviewer for multiple prestigious wind energy and renewable energy journals. His research group collaborates extensively with international partners across multiple countries, focusing on advancing wind energy technologies and their integration into sustainable energy systems. The team works closely with industry partners to translate research findings into practical applications for the wind energy sector.

Inge Rörig-Dalgaardمشاهده پروفایل

پژوهشگر

• Desalination
• Building Materials
• Electrochemical Desalination
• +۷ مورد دیگر

Inge Rörig-Dalgaard is a Senior Researcher at the Department of Environmental and Resource Engineering, Materials & Durability, Technical University of Denmark (DTU). Her expertise focuses on building material durability, particularly electrochemical desalination techniques for medieval masonry conservation and salt-damage mitigation in fired clay bricks. Her research spans desalination (100% fingerprint weight), building materials (71%), electrochemical desalination (61%), and electromigration (61%), with significant work on clay bricks (56%) and brick masonry (47%). She investigates moisture transport, relative humidity effects, and electric field applications to develop sustainable conservation strategies for cultural heritage structures. Recent publications demonstrate experimental rigor in medieval plaster analysis, mortar identification, and salt-crystallization testing. These reflect converging trends in electrochemical conservation methods, accelerated durability assessment, and climate-resilient heritage preservation. Dr. Rörig-Dalgaard actively supervises two PhD candidates: R. Stenholt-Jacobsen (lime mortars for brick reuse, 2023-2027) and J. Bartholdy (hydrogel desalination of wall paintings, 2021-2025). Her research is supported by DTU-funded projects and international collaborations through RILEM technical committees. She operates within DTU's Materials & Durability research group, utilizing advanced electromigration setups and hydrogel application systems for non-invasive conservation. Current work focuses on scaling lab-developed desalination protocols for real-world heritage sites while optimizing brick-reuse methodologies.

Malcolm McGuganمشاهده پروفایل

پژوهشگر

• Structural Health Monitoring
• Acoustic Emission
• Wind Turbine Engineering
• +۳ مورد دیگر

Malcolm McGugan serves as Chief Development Engineer at DTU Wind Energy's Department of Wind and Energy Systems, specializing in Structural Health Monitoring (SHM) for composite structures with emphasis on wind turbine blade integrity. His role encompasses coordination of national and European mechanical testing programs, project management, and supervision of multiple PhD candidates within DTU's research ecosystem. His research expertise centers on acoustic emission and acoustoultrasonics for non-destructive evaluation of large-scale structures including wind turbine blades, ship hulls, and aerospace components. McGugan has pioneered methodologies for full-scale structural testing and damage detection in composite materials, with particular focus on delamination growth monitoring and fatigue crack propagation analysis in wind energy applications. His technical profile integrates polymer composite materials science with advanced sensor technologies and data analytics. Recent publication trends reveal a strategic shift toward AI-driven SHM solutions, combining computer vision with drone-based inspection systems and advanced signal processing techniques for operational wind turbine assessment. His work consistently bridges fundamental material science with industrial-scale validation through full-scale testing protocols. McGugan actively supervises doctoral research including Sheiati's AI-based blade identification project (2022-2025) and Fremmelev's damage simulation work (2019-2023), while managing the AINDT research initiative focused on AI-enhanced non-destructive testing for wind turbine maintenance optimization. His grant portfolio spans European collaborative projects and national Danish research funding mechanisms. As a core member of DTU's Wind Energy Materials and Components Division within the Structural Virtual Testing and Digitalization group, he contributes to developing digital twin frameworks for predictive maintenance of wind turbine components through virtual testing methodologies.

Ang Liمشاهده پروفایل

پژوهشگر

• Blade Element Momentum
• Rotors
• Wind Turbine
• +۴ مورد دیگر

Ang Li is a Researcher at the Department of Wind and Energy Systems , Technical University of Denmark (DTU) , specializing in wind turbine aerodynamic modeling. His work primarily focuses on Blade Element Momentum (BEM) theory , Lifting Line methods , and Vortex aerodynamics for rotor design optimization. Research interests include Aerodynamic modeling of wind turbine rotors Non-planar blade design Multi-fidelity aeroelastic simulations Viscous force analysis in BEM Curved tip shape optimization Recent publications highlight advancements in computationally efficient models for 22-megawatt turbines and corrections to BEM methods for spanwise flow effects. Collaborations include institutions like IOP Publishing and researchers such as Gaunaa, Pirrung, and Zahle.

Asger Bech Abrahamsenمشاهده پروفایل

پژوهشگر

• Wind Turbine Engineering
• Superconducting Materials
• Structural Integrity
• +۵ مورد دیگر

Asger Bech Abrahamsen serves as a Senior Researcher at the Department of Wind and Energy Systems, Technical University of Denmark (DTU), specializing in structural integrity, materials science, and superconducting applications for wind energy systems. His work spans experimental and computational research in offshore wind turbine components, recycling of composite materials, and high-temperature superconducting technologies. His research focuses on critical challenges in wind energy sustainability, including: Recycling value chains for decommissioned wind turbine blades Corrosion protection systems for offshore structures Pitch bearing reliability and damage accumulation Superconducting components for next-generation wind turbines Uncertainty quantification in floating wind turbine design His fingerprint analysis reveals expertise in Wind Turbine Engineering (100%), Superconducting Materials (87%), and Offshore Wind Turbines (30%). Abrahamsen actively supervises multiple PhD projects and leads the HTSComponentTestLab initiative for high-temperature superconducting component testing. His recent publications demonstrate a strong trend toward circular economy solutions for wind energy infrastructure and advanced modeling of thermal-mechanical systems. Professional engagements include organizing industry workshops like 'Metal Structures and Components of Wind Turbines' (2020) and 'Vind Energi Innovation kursus' (2019), alongside conference participation at events such as the World Congress of Structural and Multidisciplinary Optimization (2017). His media contributions address wind turbine recycling challenges and superconducting wind turbine development.

Ebba Dellwikمشاهده پروفایل

پژوهشگر

• Wind Energy
• Meteorology
• Remote Sensing
• +۵ مورد دیگر

Ebba Dellwik is a Senior Researcher at the Department of Wind and Energy Systems, Technical University of Denmark (DTU), specializing in meteorology and remote sensing within the Wind Energy Systems Division. Her work focuses on understanding wind flow patterns, particularly in forested environments and around wind turbines, contributing significantly to wind energy research and development in Denmark and internationally. Dr. Dellwik's research expertise spans multiple critical areas in wind energy and atmospheric science. Her primary interests include: Forest meteorology and wind flow modeling in complex terrain Wind turbine aerodynamics and performance optimization Remote sensing applications using LiDAR and sodar technologies Tree-wind interactions and their implications for wind resource assessment Atmospheric boundary layer dynamics in forested landscapes Her recent publications reveal a strong focus on integrating advanced measurement techniques with computational modeling. Dellwik has pioneered methods for using point cloud data to create digital tree twins, improving our understanding of wind flow through forests. She has also made significant contributions to understanding rain erosion on wind turbine blades and developing more accurate wind resource assessment methods in complex terrain. Dr. Dellwik actively supervises PhD students and participates in numerous research projects. Current projects include: Wind Farm Modeling for Enhanced Performance (2024-2027) Dispersion and consequences of releases to the atmosphere in the urban environment (2023-2026) AIRE: Advanced study of the atmospheric flow Integrating REal climate conditions (2023-2026) Advanced numerical modeling of the interaction between trees and near-surface winds (2022-2025) Her research group utilizes state-of-the-art equipment including multiple WindScanners (coherent Doppler lidars) and conducts field measurements at DTU's test site in Høvsøre and the Østerild National Test Centre for Large Wind Turbines.

Franck René Jacques Bertagnolioمشاهده پروفایل

پژوهشگر

• Wind Turbine Engineering
• Trailing Edge Noise
• Airfoil Design
• +۷ مورد دیگر

Franck René Jacques Bertagnolio is a Senior Scientist at the Rotors Wind Turbine Design Division of the Technical University of Denmark (DTU Wind and Energy Systems). His work focuses on wind turbine aerodynamics, aeroacoustics, and noise reduction technologies, contributing to sustainable energy systems. Role: Researcher and supervisor in wind turbine noise and flow dynamics Projects: Involved in advanced aeroacoustic modeling, vortex-induced vibration studies, and low-noise wind farm control Research Interests: Bertagnolio specializes in trailing edge noise, airfoil design, hybrid computational aeroacoustic (CAA) methods, and high-fidelity turbulence modeling. His work bridges computational fluid dynamics (CFD) with practical wind turbine performance optimization. Scientific Contributions: Recent publications highlight his expertise in boundary element methods for noise prediction, vortex dynamics in wind turbine towers, and turbulence modeling for trailing edge noise reduction. These studies align with UN Sustainable Development Goals (SDGs) for clean energy and environmental protection. Supervision: He actively mentors PhD candidates like Pindi Nataraj and Ebstrup K., focusing on aerodynamic and aeroacoustic challenges in wind energy systems.

Nicolai Siim Larsenمشاهده پروفایل

استادیار

• Statistics
• Data Science
• Stochastic Processes
• +۳ مورد دیگر

Nicolai Siim Larsen is an Assistant Professor (Tenure track) in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), specializing in statistical modeling with applications in finance and healthcare analytics. His work bridges theoretical statistics and real-world data challenges. Education : Ph.D. in Stochastic Financial Models based on Matrix-Analytic Methods, Technical University of Denmark (2022) Dr. Larsen's research centers on multivariate phase-type distributions and matrix-analytic methods , with significant contributions to financial risk modeling and healthcare analytics . His expertise spans survival analysis, sensor data processing, and price optimization frameworks, addressing complex stochastic phenomena in insurance and disease progression monitoring. Analysis of his publications reveals a cohesive focus on advancing numerical computational methods for multivariate data structures. His 2022 Ph.D. thesis established foundations for joint density functions and infinitely divisible distributions, with subsequent work directly applied to commercial pricing strategies and edema patient monitoring systems. Statistical analysis and price optimisation of DJ rental services (2022) AI Denmark: Monitoring disease progression in Oedema patients (2022) KomDigital: Optimal pricing strategies for price monitoring (2022) Stochastic Financial Models based on Matrix-Analytic Methods (PhD project 2018-2023) He actively contributes to academic service as an internal examiner for Statistical Genetics (2025) and instructor for R-based data science workshops, demonstrating commitment to both research leadership and pedagogical development within DTU's Statistics and Data Analysis section.

Roberto Naboniمشاهده پروفایل

دانشیار

• Additive Manufacturing
• Sustainable Construction
• Robotic Assembly
• +۴ مورد دیگر

Roberto Naboni is an Associate Professor and Head of Centre at the SDU CREATE and a member of the SDU Climate Cluster . Affiliated with the Department of Technology and Innovation at the University of Southern Denmark, his work bridges advanced digital design, robotic fabrication, and sustainable construction methodologies. Research Interests include: Additive manufacturing in architecture and construction Low-carbon concrete and timber structures Algorithmic design and computational methods Space architecture applications (e.g., lunar habitats) Behavioral robotics for construction automation Material innovation for climate resilience Scientific Awards Villum Young Investigator Grant (2022) Teaching & Supervision spans courses on architectural geometry, digital fabrication, and sustainable materials. He leads PhD projects like Bio-Inspired Behavioural Additive Construction and collaborates on interdisciplinary initiatives such as FSSoV: Football as Health and Welfare Innovator . His research output includes 76 publications and active participation in 3 projects focused on adaptive robotics and sustainable construction systems.

Magnus Bolt Kjerمشاهده پروفایل

پژوهشگر

• Additive Manufacturing
• Laser Powder Bed Fusion
• Powder Bed Fusion
• +۳ مورد دیگر

Magnus Bolt Kjer is a Postdoctoral Researcher in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), specializing in laser powder bed fusion systems and open-architecture additive manufacturing solutions. His work bridges engineering design, material science, and advanced manufacturing processes. His research focuses on Additive Manufacturing , particularly Laser Powder Bed Fusion for metals and polymers, with emphasis on Gas Flow Dynamics , Open Architecture Systems , and Microstructural Evolution of metal composites. Key projects involve optimizing inert gas flow, benchmarking polymer systems, and upgrading legacy control architectures to enhance manufacturing precision and accessibility. Recent publications reveal strong trends in open-source hardware development for metal L-PBF systems, microstructural analysis of steel composites, and solving obsolescence challenges in industrial powder bed fusion. His work consistently integrates systems engineering principles to advance open-architecture frameworks across material types. Scientific Awards: No awards documented in provided materials. Dr. Kjer completed his PhD in March 2024 under the project "Open Architecture Systems for Laser Powder-bed Fusion" supervised by D. B. Pedersen. He actively presents findings at international conferences, including detailed gas flow analyses for metal L-PBF systems, and collaborates extensively with researchers like V. K. Nadimpalli on experimental validation studies. He operates within DTU's additive manufacturing research ecosystem, contributing to teams focused on next-generation powder bed fusion technology through experimental rigs like the Open Architecture Polymer L-PBF system. Current work emphasizes real-time process monitoring and cross-flow optimization for industrial scalability.

• Health Research
• Research Methodology
• Public Health
• +۳ مورد دیگر

Janni Brødbæk is a Manager and Visiting Researcher at the Department of Clinical Research, University of Southern Denmark (SDU), affiliated with Odense University Hospital (OUH) and the OPEN (Odense Patient data Explorative Network) research unit. With over a decade of administrative and research support experience, she contributes to health research infrastructure development and organizational initiatives. Institution: University of Southern Denmark Department: Clinical Research Collaboration: Odense University Hospital (OUH) Education : Lægesekretærelev (Medical Secretary), OUH Odense/Tietgen Skolen (2005-2007) Multiple administrative and technical training certifications from SDU, OUH, and regional institutions Research Focus : Her work centers on health research infrastructure, Danish healthcare systems, and research process optimization. Fingerprint analysis highlights expertise in legislation, user satisfaction, and semi-structured interview methodologies within health research contexts. Recent Publications : 2025: Co-authored study on OPEN unit growth patterns 2018: Practical data management evaluation report Professional Engagement : Active in research support networks since 2011 Contributed to BMC Health Services Research (2025) Participated in multiple research methodology workshops

Jie Caiمشاهده پروفایل

استادیار

• Structural Engineering
• Pipeline Mechanics
• Maritime Engineering
• +۴ مورد دیگر

Jie Cai is an Assistant Professor at the Department of Technology and Innovation, University of Southern Denmark, specializing in structural engineering, maritime operations, and data science. His research bridges computational methods with marine and pipeline mechanics. Key research areas include structural stability, residual strength analysis, lateral buckling, and data-driven maritime systems Recent work focuses on medical image segmentation (2025) and burst strength prediction for corroded pipelines (2025) Active in digital twin development for vessel operations and engine monitoring He has contributed to journals like Computers and Electrical Engineering , Ocean Engineering , and Journal of Marine Science and Application , with expertise in finite element analysis and anomaly detection. Jie Cai serves as a peer reviewer for journals including the Journal of Offshore Mechanics and Arctic Engineering and Energies , and teaches courses in data science, programming, and IoT applications at the master's and bachelor's levels.

• Bioresources
• Geosciences
• Natural Resource Management
• +۴ مورد دیگر

Jonas Thomsen is a Postdoctoral Researcher at the Department of Geosciences and Natural Resource Management within the Faculty of Science at the University of Copenhagen, specializing in Forest and Bioresources. His work bridges geoscience and biochemical analysis of natural materials, with particular focus on peatland ecosystems and biomass conversion processes. His academic foundation includes: PhD in Geosciences and Natural Resource Management from the University of Copenhagen (2025) Thomsen's research centers on the biochemical characterization of plant polysaccharides in Sphagnum peat, investigating enzymatic degradation mechanisms and structural limitations affecting saccharification efficiency. His work combines analytical chemistry, enzymology, and environmental science to address challenges in bioresource utilization and carbon cycling dynamics. Key methodologies include polysaccharide accessibility mapping, enzyme kinetics analysis, and compositional profiling of complex biomass. This research provides critical insights for sustainable bioeconomy development and wetland conservation strategies. Analysis of his publications reveals a cohesive research trajectory in peat biochemistry, with two 2025 publications establishing foundational knowledge about enzymatic limitations in peat polysaccharide conversion. The PLoS ONE article demonstrates structural barriers to saccharification, while his doctoral thesis comprehensively documents Sphagnum peat chemistry. His 2018 oncology collaboration demonstrates interdisciplinary capacity but remains peripheral to his core research program in geobiochemistry. Thomsen's scientific contributions currently lack documented awards or major grants. As a recent PhD graduate transitioning to postdoctoral work, he is establishing his independent research profile within Copenhagen's geoscience community. His work integrates with departmental initiatives on natural resource sustainability, particularly through experimental investigations of biomass conversion pathways and peatland biogeochemistry.

• Primary Care
• General Practice
• Health Services Research
• +۵ مورد دیگر

Thorkil Thorsen serves as an Associate Professor at the Research Unit for General Practice within the Center for Health and Society, Faculty of Health and Medical Sciences, University of Copenhagen. His research focuses on qualitative investigations of primary care systems, particularly examining accreditation processes, organizational implementation, and pandemic-driven healthcare adaptations in Danish general practice. Thorsen's research program centers on understanding how healthcare standards translate into practice through qualitative analysis of accreditation events, peer facilitation dynamics, and technology adoption. His work reveals critical tensions between regulatory frameworks and clinical autonomy, with recent studies documenting significant practitioner resistance to mandatory accreditation programs and innovative adaptations during the COVID-19 pandemic's initial phase. Key collaborations include T. D. Due and M. B. Kousgaard on multiple longitudinal accreditation studies. Analysis of his 86 research outputs shows consistent methodological focus on qualitative approaches to examine systemic healthcare challenges, with emerging themes around crisis response innovation and the human dimensions of quality improvement initiatives. His publications demonstrate strong real-world impact through policy references and news coverage, particularly regarding pandemic consultation models. Thorsen maintains active academic engagement through the Research Unit for General Practice, which functions as a nexus for organizational research in primary care within the University of Copenhagen's health sciences framework. His work bridges theoretical organizational studies with practical quality improvement in community-based medical settings.

• Food Science
• Protein Chemistry
• Molecular Characteristics
• +۲ مورد دیگر

Yuqi Zhang is a Postdoctoral Researcher at the Department of Food Science, Faculty of Science, University of Copenhagen, working within the Design and Consumer Behavior group. Research focuses on the relationship between molecular structures and functional properties of plant-based protein ingredients, particularly pea protein, using advanced analytical methodologies. Primary research interests include Food Science, Protein Chemistry, and Molecular Biology, with emphasis on how protein molecular characteristics dictate functional behavior in food systems. This work directly supports sustainable development of plant-based food products by optimizing protein ingredient performance through structural analysis. Recent publications reveal a consistent research trajectory in protein functionality, highlighted by the 2024 Ph.D. thesis developing analytical toolboxes for pea protein and the highly cited 2021 review establishing methodological frameworks. Collectively, these works advance precision in characterizing plant proteins for industrial food applications, demonstrating strong interdisciplinary integration between molecular science and food technology.