جست‌وجوی استاد و پژوهشگر

Christian Koefoed Schouمشاهده پروفایل

پژوهشگر

• Optical Phase Engineering
• Optical Phase Conjugation
• Fiber Optics
• +۵ مورد دیگر

Christian Koefoed Schou serves as a Research Assistant at the Department of Electrical and Photonics Engineering, Technical University of Denmark (DTU), affiliated with the High-Speed Optical Communications Centre of Excellence for Silicon Photonics for Optical Communications. His research focuses on advanced optical transmission systems and nonlinear compensation techniques. His primary research interests center on Optical Phase Engineering and Optical Phase Conjugation , with significant contributions to Unrepeatered Transmission Systems and Nonlinear Optics in fiber communications. His work addresses critical challenges in extending transmission distances without repeaters through signal predistortion and tailored fiber designs, directly impacting transoceanic communication infrastructure. Analysis of his 2024-2025 publications reveals a concentrated research trajectory in optimizing unrepeatered optical links, with consistent emphasis on optical phase conjugation (appearing in 100% of recent works), nonlinear compensation (66% coverage), and capacity enhancement techniques. His publications demonstrate strong collaboration with DTU's photonics leadership, particularly Professor L.K. Oxenløwe and Dr. M. Galili. As a PhD student under Professor L.K. Oxenløwe (Main Supervisor) and Dr. M. Galili (Supervisor), he leads the Spatially Distributed Optical Communication Links project (2022-2026), which investigates repeater reduction strategies in ultra-long-haul systems. This DTU-funded initiative directly supports his publication portfolio and technological innovations. Christian operates within DTU's High-Speed Optical Communications Centre of Excellence, leveraging state-of-the-art facilities for silicon photonics research. The center's focus on optical communication frontiers provides the experimental foundation for his work on fiber link engineering and transoceanic transmission systems.

Eva Bay Wedebyeمشاهده پروفایل

استاد پژوهشی

• Quantitative Structure-Activity Relationships (QSAR)
• Toxicology
• Regulatory Toxicology
• +۳ مورد دیگر

Eva Bay Wedebye is a Senior Executive Officer and Head of the Research Group for Chemical Risk Assessment and GMO at the National Food Institute (Technical University of Denmark). Her work focuses on (Q)SAR modeling for toxicity prediction, regulatory compliance (e.g., REACH), and reducing animal testing. She leads projects like PARC and FREIA, advancing tools for endocrine disruption assessment. Education: PhD in Environmental Chemistry (University of Copenhagen, 1997). She advises on OECD frameworks and contributes to the (Q)SAR Application Toolbox. Her research emphasizes large-scale chemical screening, including the Danish Advisory List for Self-Classification. Key research areas include QSAR model development/validation, chemical risk assessment, and FAIR data practices. Over 75 publications span QSAR applications in toxicity, endocrine disruption, and regulatory science. Recognition: 2016 Danish 3R-Center Prize for reducing animal testing. Active in conferences and policy initiatives, such as the RACEMiC roadmap for chemical mixture risk assessment. Labs/Teams: Directs the National Food Institute Research Group, collaborating internationally on projects like ATHENA (thyroid hormone disruption) and LIFE CONCERT REACH (in silico modeling networks).

Erik Vilain Thomsenمشاهده پروفایل

استاد

• Ultrasonics
• Biomechanics
• Microelectromechanical Systems
• +۵ مورد دیگر

Erik Vilain Thomsen is a Professor at the Department of Health Technology at the Technical University of Denmark (DTU). He leads research in ultrasound imaging , transducer engineering , and microelectromechanical systems (MEMS) , focusing on advancing 3D ultrasound technologies and biomechanical applications through the MEMS Applied Sensors Group. Key Research Areas: Ultrasonics, Biomechanics, MEMS, Transducer Design, Medical Imaging, Silicon Material Science. His recent publications highlight breakthroughs in 3D ultrasound beamforming , polymer acoustic lens optimization , and super-resolution imaging using erythrocytes. He actively supervises PhD candidates in projects like Anodic Bonded CMUTs and Micromachined 2D Transducers , emphasizing medical imaging quality and cost-effective healthcare solutions . Supervision & Collaboration: As a main supervisor, he guides students in ultrasound transducer development and participates in long-term projects like Silicon Germanium HBT's since 1992. He engages in peer review (e.g., IEEE International Ultrasonics Symposium) and collaborates internationally on ultrasonic imaging advancements. Labs/Groups: MEMS Applied Sensors Group, DTU Health Technology.

Finn Årup Nielsenمشاهده پروفایل

دانشیار

• Neuroinformatics
• Text Mining
• Data Mining
• +۸ مورد دیگر

Finn Årup Nielsen is an Associate Professor at the Technical University of Denmark (DTU), affiliated with the Cognitive Systems department under Applied Mathematics and Computer Science. His career spans neuroinformatics, text mining, and social media analysis, with a focus on integrating neuroscience and computer science. Education : Master in Engineering (1993-1996), Technical University of Denmark Research Interests : Neuroinformatics: Developing software and databases for brain imaging data and neuroscience text analysis Social Media Analysis: Mining Twitter and Wikipedia for citation patterns, sentiment, and topic trends Knowledge Graphs: Wikidata integration, lexeme alignment, and semantic representation Environmental Informatics: Applying AI to sustainable assessment through projects like DreamsKG Project Supervision : Supervised PhD projects on federated learning, neural network explainability, and big data analytics at DTU Contributed to foundational neuroimaging research in the Human Brain Project since 1994

Daniel Haugård Olesenمشاهده پروفایل

دانشیار

• Geodesy
• Earth Observation
• GNSS (Global Navigation Satellite Systems)
• +۱۳ مورد دیگر

Daniel Haugård Olesen is an Associate Professor at DTU Space, Technical University of Denmark, within the Department of Space Research and Technology, specializing in Geodesy and Earth Observation. He leads the GNSS research group, which focuses on advanced navigation technologies, including interference detection, precise positioning, and sensor fusion for drones and robots. Institution: Technical University of Denmark (DTU) School: DTU Space Department: Department of Space Research and Technology Research Division: Geodesy and Earth Observation (GEO) Role: Associate Professor and Head of GNSS Research Group His research interests span GNSS signal integrity, space weather impacts, RTK/PPP positioning, multi-sensor fusion, and applications in environmental monitoring using unmanned systems. He actively contributes to hydrological studies through drone-based river monitoring, leveraging LiDAR, sonar, radar, and GNSS-R techniques. The recent publication trends reflect a strong focus on applying UAS and GNSS technologies to solve real-world environmental challenges, particularly in river hydraulics, surface water dynamics, and soil moisture sensing. His work integrates space-based observation with autonomous platforms, emphasizing reliability, precision, and scalability. Keywords across articles include Earth Observation, Remote Sensing, Hydrology, Navigation, and Signal Processing, with specific subfields such as GNSS interference mitigation, Doppler radar velocimetry, and ionospheric scintillation analysis. Daniel Olesen supervises several PhD projects, indicating an active mentoring role in training next-generation researchers. Notable projects include GNSS-R from UAS, semi-autonomous navigation for river monitoring, and ionospheric effects on GNSS signals. While no specific scientific awards are listed in the provided text, his sustained research output and leadership in key projects suggest recognition within the scientific community. GNSS Reflectometry (GNSS-R) from Unmanned Aerial Systems (2024–2027) Semi-autonomous navigation of UAS for river monitoring (2023–2026) Ionospheric effects on GNSS signals (2020–2024) GNSS Jamming Detection and Localization (2019–2024) Relative positioning and attitude from UAVs (2017–2021) He leads the GNSS research group at DTU Space, which operates multiple state-of-the-art GNSS CORS networks and develops cutting-edge methods for reliable positioning in challenging environments. The team works at the intersection of geodesy, space science, and robotics, fostering interdisciplinary collaboration to advance autonomous navigation and Earth observation capabilities.

• Electric Vehicle Technologies
• Battery Energy Systems
• Power System Integration
• +۱۱ مورد دیگر

Mattia Marinelli is a Professor in E-mobility in Energy Systems at the Department of Wind and Energy Systems, Technical University of Denmark (DTU). He leads the E-mobility and Prosumer Integration section and is deeply involved in EU-funded research projects including AHEAD, EV4EU, and FLOW. He holds a PhD in Electrical Engineering from the University of Genoa and has been at DTU since 2012. Master Degree in Electrical Engineering, University of Genoa (2004–2007) PhD in Electrical Engineering, University of Genoa (2008–2011) His research focuses on electric vehicle integration, bidirectional charging, distributed energy resources, and grid flexibility. He is passionate about bridging theoretical research with real-world applications, especially in sustainable energy systems and electromobility. His work spans modeling, control, and economic analysis of EV-grid interactions, battery systems, and hybrid energy solutions. The recent publications highlight a strong trend toward vehicle-to-grid (V2G), smart charging, and integration of EVs with renewable energy sources like photovoltaics. The research emphasizes grid services, techno-economic analysis, battery degradation, and optimization of EV aggregation for market participation. Key subfields include frequency regulation, load balancing, and user-centric energy management. AEG Elektronprisen 2024 Best paper award of the IEEE PES ISGT-Europe 2021 conference Mattia Marinelli supervises numerous PhD students and leads major research grants, including Horizon Europe and H2020 projects with multi-million-euro budgets. He teaches M.Sc. and PhD courses in wind integration, distributed energy technologies, and hybrid power plants. He is actively involved in IEEE and conference leadership, contributing to the advancement of smart grid technologies. He leads the E-mobility and Prosumer Integration section at DTU, which has grown to include 34 researchers from 16 countries. The team conducts internationally recognized research in EV technologies, charging infrastructure, power electronics, and hybrid AC-DC systems, working closely with industry and European partners.

Charilaos Paraskevoulakosمشاهده پروفایل

پژوهشگر

• Civil Engineering
• Materials Science
• Sustainable Construction
• +۲ مورد دیگر

Charilaos Paraskevoulakos is a Researcher in the Department of Environmental and Resource Engineering at the Technical University of Denmark (DTU), specializing in sustainable construction materials and waste recycling. His work directly contributes to UN Sustainable Development Goals for sustainable cities and responsible consumption. His research spans Civil Engineering , Materials Science , and Sustainable Construction , with core expertise in waste valorization (particularly wind turbine blade recycling in cementitious systems), concrete durability (focusing on alkali-silica reaction mitigation), and advanced experimental mechanics using digital volume correlation and X-ray imaging techniques. Analysis of his 2023-2025 publications reveals a cohesive research trajectory: transforming industrial waste into construction materials while developing precision characterization methods for heterogeneous engineering materials. Key innovations include establishing wind turbine blade waste as a reactive additive for concrete and optimizing digital volume correlation protocols for concrete strain analysis. He actively participates in two major EU-funded projects: CIRCULess (2024-2027) developing circular economy solutions for construction waste, and Frontier (2021-2025) pioneering fatigue analysis in engineering materials. While collaborating with PhD students in these initiatives, no formal student advisees are documented in his current research profile.

Raphaël Emile Gilbert Mounetمشاهده پروفایل

پژوهشگر

• Ocean Engineering
• Maritime Engineering
• Sea State Estimation
• +۷ مورد دیگر

Raphaël Emile Gilbert Mounet is a Postdoctoral Researcher at the Department of Civil and Mechanical Engineering, Technical University of Denmark (DTU), specifically within the Section of Fluid Mechanics, Coastal and Maritime Engineering at DTU Construct. He works under the supervision of Associate Professor Ulrik D. Nielsen and is actively contributing to advanced research in ocean wave estimation and maritime data fusion. Education: PhD in Maritime Engineering, DTU (2020–2023) PhD in Marine Technology, Norwegian University of Science and Technology (2020–2023) MSc in Mechanical Engineering, DTU (2018–2020) Engineering Degree in General Engineering, École centrale de Lyon (2016–2020) His research focuses on the estimation and prediction of ocean waves by fusing data from various sources, particularly using ships as mobile wave buoys. He is the main developer of NetSSE, an open-source Python package for network-based sea state estimation, which integrates data from ships, buoys, and other platforms. His work applies signal processing, machine learning, and hydrodynamic modeling to enhance maritime safety and ocean monitoring. The 15 most recent publications reflect a strong trend in data-driven modeling, spectral analysis, and real-world applications in sea state estimation, with increasing integration of machine learning and autonomous systems. Scientific Awards: Best Paper Presented by a Young Researcher Award (First Classified), 2024 IEEE International Workshop on Metrology for the Sea Mounet is actively involved in research supervision, peer review for journals such as Marine Structures and Signal Processing , and delivers guest lectures at external institutions. He is a Co-Principal Investigator in the ongoing WEFOSWAB project on wave estimation using ships as buoys. He supervises multiple student projects and contributes to the development of next-generation ocean observation technologies. His expertise supports UN Sustainable Development Goals related to climate action and life below water through improved ocean monitoring systems. Labs and Teams: He is part of the research team at DTU Construct, focusing on fluid mechanics and maritime engineering, and collaborates internationally, particularly with institutions in Norway and Japan. His work is closely tied to the development and application of the NetSSE platform, which serves as a central tool for collaborative research in sea state estimation.

Peter Noe Poulsenمشاهده پروفایل

دانشیار

• Structural Engineering
• Reinforced Concrete
• Limit Analysis
• +۷ مورد دیگر

Peter Noe Poulsen is an Associate Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), specializing in Structures and Safety. His research focuses on structural analysis, reinforced concrete, limit analysis, and finite element modeling, with applications in sustainable and circular building systems. Technical University of Denmark (DTU), Department of Civil and Mechanical Engineering, Structures and Safety His research interests lie at the intersection of computational mechanics and practical structural engineering, particularly in the optimization and safety assessment of reinforced concrete structures. He has made significant contributions to the development of numerical methods for limit analysis, structural optimization, and full-scale testing of precast concrete systems. His work supports the design of durable, modifiable, and sustainable building components. The recent articles reflect a strong trend towards integrating computational modeling with experimental validation, especially in precast concrete shear walls, elastoplastic grillages, and serviceability-driven design. His research emphasizes structural efficiency, safety, and adaptability for future modifications, aligning with circular economy principles in construction. Peter Noe Poulsen has supervised numerous PhD students and research projects, demonstrating a strong commitment to academic mentorship and collaborative research. He has been actively involved in guiding projects related to structural optimization, finite element model updating, and rigid plastic modeling, often in collaboration with industry and international partners. He has contributed to several datasets from full-scale tests on precast concrete shear walls and keyed connections, which support open science and reproducible research. These datasets are publicly available through DTU’s data repository and have been used in both academic and practical engineering contexts.

Vicente Cutanda Henriquezمشاهده پروفایل

دانشیار

• Acoustics
• Numerical Methods
• Electroacoustics
• +۷ مورد دیگر

Vicente Cutanda Henriquez is an Associate Professor in the Department of Electrical and Photonics Engineering at the Technical University of Denmark (DTU), specializing in Acoustic Technology. His research integrates computational modeling and experimental validation in acoustics, with a strong focus on numerical methods such as the Boundary Element Method (BEM) and Finite Element Method (FEM). His research interests include acoustics, electroacoustics, microacoustics, transducer modeling, vibroacoustics, and numerical simulation techniques . He actively explores applications in hearing aid technology, underwater noise, broadband absorption, and personalized audio devices. His work often involves model order reduction, hybrid FEM-BEM approaches, and visco-thermal losses in acoustic systems. The recent publications reflect a strong trend in computational efficiency, acoustic metamaterials, and personalized hearing solutions , with increasing emphasis on real-world applications in medical devices and environmental acoustics. His work bridges theoretical acoustics with practical engineering challenges in audio and biomedical technologies. Computationally efficient Prediction of Underwater Noise from Offshore Pile Driving Broadband acoustic absorption using cylindrical rods Vibroacoustic modeling of balanced armature receivers Sound propagation in curved ear canals Reduced-order BEM with boundary layer impedance He has been involved in multiple scientific activities, including organizing the 24th International Congress on Acoustics and chairing Dansk Akustisk Selskab. Though no formal awards are listed, his leadership in national and international acoustics communities underscores his recognition. Vicente Cutanda Henriquez supervises several PhD students, including Kulakauskas, Pedersen, Bække, and Cai, and is involved in major research projects such as Efficient Numerical Modelling of Smart Hearables and Broadband Vibroacoustic Shape Optimization . His work is supported by institutional and collaborative grants, focusing on innovation in hearing technologies and sustainable acoustic solutions. He is affiliated with the Acoustic Technology group at DTU, a leading research unit in electroacoustics and numerical acoustics, contributing to both fundamental research and industrial applications in sound engineering.

Razgar Ebrahimyمشاهده پروفایل

پژوهشگر

• Energy Systems
• Smart Grids
• Demand-Side Flexibility
• +۳ مورد دیگر

Razgar Ebrahimy serves as Head of the Dynamical Systems Section and Senior Researcher at the Department of Applied Mathematics and Computer Science, DTU Compute, Technical University of Denmark. His expertise spans energy systems modeling, smart grid technologies, and data-driven solutions for grid flexibility and renewable integration. His research centers on Demand-Side Flexibility , Energy Systems Optimization , and Data-Driven Control , employing stochastic methodologies and machine learning to address challenges in district heating, power system stability, and renewable forecasting. Key contributions target UN Sustainable Development Goals for affordable clean energy (SDG7). Recent publications (2023-2025) reveal a strong focus on deep learning for energy forecasting, incentive-based flexibility mechanisms, and secure grid automation. Notable trends include photovoltaic prediction models, stochastic optimization for thermal systems, and middleware solutions for low-voltage grids, collectively advancing sustainable energy management. Dr. Ebrahimy mentors PhD students including M. Solé Àvila on data-driven modeling for smart energy systems. He leads critical research initiatives: BEGONIA (2024-2026): Cross-border digital platforms for energy internet and transport optimization ARV (2022-2025): Climate-positive circular communities through energy renovation IEA DHC Annex TS9 (2025-2027): Digitalization of district heating for efficiency improvement He collaborates within DTU Compute's Dynamical Systems group and the CitCom.ai TEF facility, driving innovation in AI for smart cities and grid automation through international partnerships.

Susan Ibi Preusمشاهده پروفایل

پژوهشگر

• Biomedical Engineering
• Microfluidics
• Biosensors
• +۳ مورد دیگر

Susan Ibi Preus is a Postdoctoral researcher in the Department of Biotechnology and Biomedicine at the Technical University of Denmark (DTU), working in the Cell Diversity Lab. Her research spans biomedical engineering, microfluidics, and computer vision for diagnostic applications in both medical and food science domains. Her primary research focuses on developing microfluidic sample preparation techniques and biosensors, with significant contributions to computer vision-based lateral flow assay digitalization and milk analysis for lipase/bile salts detection. This interdisciplinary work integrates engineering, biotechnology, and computer science to advance point-of-care diagnostics and food safety testing. Publications from 2018-2024 reveal a consistent trajectory toward engineering-driven diagnostic solutions, evolving from wound monitoring microfluidics to AI-enhanced dairy analysis systems. This demonstrates growing sophistication in merging hardware design with algorithmic processing for real-world diagnostic challenges. She recently completed an Industrial PhD project (2022-2025) on microfluidics-assisted sample preparation for single cell proteomics, supervised by Prof. Schoof and Prof. Svendsen. This industry-collaborative project secured dedicated funding for advancing proteomic analysis technologies. As a core member of DTU's Cell Diversity Lab, Dr. Preus contributes to single-cell analysis research and next-generation diagnostic device development within interdisciplinary engineering and biomedical teams.

Torsten Dauمشاهده پروفایل

استاد

• Hearing Technology
• Audiology
• Auditory Modeling
• +۳ مورد دیگر

Professor Torsten Dau is a leading academic at the Department of Health Technology , Technical University of Denmark , where he heads the Hearing Systems Section . His research focuses on computational auditory modeling and hearing technology, particularly auditory signal processing in complex environments. Primary research areas: hearing aids, auditory neuroscience, speech perception Key collaborations: cochlear implant research, SDG-related hearing solutions His recent work explores age-related auditory changes, envelope processing, and spatial hearing mechanisms through 385 publications and 11 active grants . Supervision includes multiple PhD projects on binaural processing and listener behavior. Notable contributions include datasets on amplitude modulation selectivity and auditory training effects, with Conference presentations at major neuroscience and acoustics events.

Maaike Charlotte Van Eeckhoutteمشاهده پروفایل

استادیار

• Computational auditory modeling
• Sensory Aid
• Hearing Impairment
• +۸ مورد دیگر

Maaike Charlotte Van Eeckhoutte is an Assistant Professor at the Department of Health Technology, Technical University of Denmark (DTU), specializing in computational auditory modeling. She contributes to research areas including sensory aids, audiology, and hearing impairment prevention. Current Role: Assistant Professor in Hearing Systems Section Key Research: In-situ audiometry, hearing damage prevention at music events, and auditory signal processing Collaborations: International partnerships in acoustics and hearing rehabilitation Her work aligns with UN Sustainable Development Goals for health and well-being. She has published extensively on hearing aid calibration and auditory modeling. Her recent activities include conference presentations on phoneme discrimination challenges and hearing protection strategies.

Carolina Barra Quagliaمشاهده پروفایل

دانشیار

• Bioinformatics
• Protein Immunoinformatics
• Immunogenicity
• +۵ مورد دیگر

Carolina Barra Quaglia is an Associate Professor at the Department of Health Technology , Technical University of Denmark. Her research focuses on bioinformatics applications in immunology, particularly in antigen presentation and T-cell recognition. She specializes in immunopeptidomics, epitope prediction, and machine learning applications for immunotherapy. Active in 6 ongoing PhD projects Supervisor role in multiple AI-driven biomedical research initiatives Key expertise in HLA ligandome analysis and cancer antigen discovery Research Trends : Recent publications emphasize: Machine learning for immunogenicity prediction (IMPROVE framework) Novel methods for non-canonical antigen discovery (MARS algorithm) HLA-DR/DQ immunopeptidome characterization Peptide-MHC interaction modeling Applications in cancer immunotherapy and autoimmune disease research Integration of mass spectrometry with computational biology Supervision: Currently supervising multiple PhD students in projects spanning AI applications for molecular binders, plant-based starter cultures, and autoimmunity research.