جست‌وجوی استاد و پژوهشگر

• Metal Forming
• Joining Processes
• Tribology
• +۵ مورد دیگر

Chris Valentin Nielsen is an Associate Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). His research focuses on metal forming, joining processes, and tribology, with expertise in formability, tool development, and numerical modeling. His work contributes to UN Sustainable Development Goals related to sustainable manufacturing. He supervises PhD students in projects such as sustainable busbars for electric vehicles and adjustable tool design for high-volume production. His research interests include metal forming (e.g., deep drawing, ironing), joining technologies (resistance welding, laser welding), and advanced manufacturing methods like additive manufacturing. He employs finite element modeling and experimental analysis to bridge fundamental and applied research. Collaborations span global institutions, addressing challenges in material behavior, process optimization, and tool durability. Recent publications explore topics such as dieless Nakajima testing for additive materials, punch design improvements, and asperity deformation mechanics. His work emphasizes sustainability, robust production systems, and eco-friendly lubrication solutions. Projects involve interdisciplinary teams, integrating numerical simulations with industrial applications to enhance manufacturing efficiency and material performance.

Andreas Kugiمشاهده پروفایل

استاد

• Control Theory
• Automatic Control
• Complex Dynamical Systems
• +۶ مورد دیگر

Andreas Kugi is the Scientific Director at the AIT Austrian Institute of Technology and a full professor of Complex Dynamical Systems at TU Wien (Vienna University of Technology) in the Faculty of Electrical Engineering and Information Technology, Institute of Automation and Control. He has held significant academic and leadership roles across Europe, including professorships at Saarland University and offers from TU Dresden and KIT. His research focuses on the modeling, control, and optimization of complex dynamical systems , with strong applications in mechatronics, robotics, and industrial automation . He has led major research centers such as the Christian Doppler Laboratory for Model-Based Process Control in the Steel Industry and the Center for Vision, Automation & Control at AIT. His work bridges theoretical control design and real-world industrial implementation. The recent publications reflect a consistent focus on nonlinear, hybrid, and distributed parameter systems , with applications in robotics, manufacturing, energy, and process industries. His research integrates advanced control theory with practical engineering challenges, emphasizing real-time optimization, robustness, and system efficiency. Scientific Awards: Mechatronic Systems Outstanding Investigator Award (IFAC, 2022) Goldene Stefan-Ehrenmedaille (OVE, 2023) 16 best paper awards Andreas Kugi has supervised over 50 completed PhD dissertations and has been deeply involved in research leadership, including serving as Editor-in-Chief of Control Engineering Practice (2010–2017) and Vice President of the OVE Austrian Electrotechnical Association (2017–2023). He has secured and led numerous research grants, particularly through industrial collaborations in automation and process control. He leads and contributes to major research initiatives, including the Center for Vision, Automation & Control at AIT and the Christian Doppler Laboratory , fostering interdisciplinary teams focused on industrial digitalization and smart systems.

Petar Popovskiمشاهده پروفایل

استاد

• Wireless Communication
• Internet of Things
• Ultra-Reliable Low Latency Communication
• +۱۲ مورد دیگر

Petar Popovski is a Professor at the Department of Electronic Systems within the Technical Faculty of IT and Design at Aalborg University, Denmark. His research focuses on next-generation wireless communication systems, with a strong emphasis on ultra-reliable low-latency communication (URLLC), Internet of Things (IoT), multiple access, and 6G technologies. He leads several high-impact research projects, including the Classique - Center for Classical Communication in the Quantum Era funded by the Danish National Research Foundation and WATER (Wireless Architectures for intelligent and Trusted connectivity in the posT-5G ERa) supported by Villum Fonden. His research interests span key areas in modern communication theory and systems, including random access , non-terrestrial networks , satellite communication , and machine learning for reliable communication . He is actively involved in advancing the integration of sensing and communication, digital twin technologies, and quantum-era classical communication frameworks. The recent publications highlight a strong trend toward deterministic and reliable access in wireless networks, integration of sensing and communication for industrial automation, and novel physical-layer techniques using reconfigurable intelligent surfaces. These works are published in top IEEE journals such as IEEE Transactions on Communications , IEEE Transactions on Haptics , and IEEE Transactions on Vehicular Technology . Award highlights include the Best Student Paper Award (2021) , recognizing his mentorship and collaborative research excellence. Prof. Popovski serves as a principal investigator (PI) and supervisor in multiple research projects, securing significant funding from national and international bodies such as the Danish National Research Foundation and the European Space Agency (ESA). He hosts visiting researchers regularly and contributes to scientific leadership through editorial roles and conference participation. He is a key figure in the Connectivity section at Aalborg University and leads cutting-edge research in future wireless systems, contributing to both theoretical foundations and practical implementations in smart infrastructure, space communication, and dependable 6G networks.

• Machine Learning
• Artificial Intelligence
• Data Analysis
• +۷ مورد دیگر

Jonathan Voersaa Wenshøj is an academic researcher at the Department of Computer Science, University of Copenhagen. He contributes to the Machine Learning section's activities spanning theoretical foundations and applications in diverse domains like information retrieval, medical data analysis, remote sensing, sustainability, and biological modeling. The section participates in the SCIENCE AI Centre and collaborates with initiatives like TreeSense for global tree resource analysis. His research intersects machine learning with quantum computing, medical informatics, and sustainability. Recent publications highlight applications in environmental monitoring, healthcare diagnostics, and energy-efficient AI systems. The department provides advanced compute resources including a powerful cluster for intensive machine learning tasks. This researcher's work appears in diverse machine learning domains, with recent publications addressing quantum-inspired architectures, explainable AI in medical imaging, and sustainable computing practices. The section actively hosts events including seminars, conferences, and PhD defences related to machine learning advancements.

Peter Behrensdorff Poulsenمشاهده پروفایل

پژوهشگر

• Solar Cell Engineering
• Photovoltaics
• Drone Engineering
• +۵ مورد دیگر

Peter Behrensdorff Poulsen serves as Solar Photovoltaic Systems Group Leader at the Department of Electrical and Photonics Engineering, Technical University of Denmark (DTU). His work spans photovoltaic research, solar-powered lighting systems, and drone-based inspection technologies within DTU's College of Engineering. His research focuses on Solar Cell Engineering , Photovoltaic Modules , and Drone Applications for renewable energy systems. Key areas include bifacial photovoltaics, electroluminescence imaging diagnostics, building-integrated photovoltaics, and ultra-efficient solar-powered lighting solutions. His work significantly contributes to UN Sustainable Development Goals related to affordable clean energy and sustainable cities. Recent publications reveal strong trends in AI-driven PV diagnostics , bifacial module performance in northern climates, and dark-sky compatible lighting systems . His research bridges fundamental photovoltaic science with practical applications in urban infrastructure and environmental sustainability. Best Poster Award at 44th IEEE Photovoltaic Specialists Conference Best Poster Award at 48th IEEE Photovoltaic Specialists Conference Characterizing the Performance of Daylight Filters for Electroluminescence Imaging Poster Award at 35th European Photovoltaic Solar Energy Conference Poster Prize at Sustain 2017 Poulsen leads multiple research grants including the Ultra-efficient Dark Sky-compatible Solar-powered Outdoor Lighting project (2024-2026) and previously managed the DronEL project (2017-2019) for drone-based PV inspection. His work connects photovoltaic engineering with practical lighting applications through the Lighting Color and Radiation Laboratory. He actively collaborates with industry partners on building-integrated photovoltaics and solar-powered infrastructure solutions, with notable projects including the Plateau Sun Hub public charging stations and Black Si BIPV panel development.

Asmus Skar Christiansenمشاهده پروفایل

دانشیار

• Pavement Engineering
• Geotechnical Engineering
• Sensing Technologies
• +۴ مورد دیگر

Asmus Skar Christiansen is an Associate Professor in Pavement Engineering at the Department of Environmental and Resource Engineering, Technical University of Denmark (DTU Sustain). He serves as Head of Study for the Nordic Master in Cold Climate Engineering programme and lectures on pavement engineering, Arctic road construction, and foundation design. His academic career at DTU spans from Postdoc researcher (2017-2019) to Assistant Professor (2020-2023) and current Associate Professor position since 2023. His research centers on pavement technology and geotechnics with specialization in: Development of advanced testing and modeling techniques for pavements Integration of modern sensing technologies in civil infrastructure Computational mechanics for soil-structure interaction Sustainable materials for cold climate engineering Recent work demonstrates a clear shift toward IoT-enabled monitoring systems and data-driven pavement assessment, with 80% of 2023-2025 publications focusing on sensor integration and machine learning applications. Notable scientific contributions include: Creation of open-source datasets (LiRA-CD, RIVA) for road condition modeling Development of thermomechanical models for heated pavements Innovations in waste soil reuse for infrastructure He actively supervises PhD candidates across multiple projects including GREENPIPE (self-sensing pipe systems) and urban pavement analysis, while maintaining industry consultancy through COWI A/S collaborations. Christiansen also contributes to sustainable infrastructure through DTU's alignment with UN SDG 9 (Industry, Innovation, and Infrastructure) and SDG 11 (Sustainable Cities).

Xiao Chenمشاهده پروفایل

پژوهشگر

• Composite Structures
• Wind Energy Systems
• Structural Integrity
• +۷ مورد دیگر

Xiao Chen is a Researcher at the Technical University of Denmark (DTU), specializing in advanced testing and digitalization of composite and offshore steel structures for wind energy systems. With a PhD from Nagoya University (2011), his work focuses on structural integrity, fatigue analysis, and Digital Twins for wind turbine blades. PhD in Engineering, Nagoya University (2011) Senior Researcher (2019–present) and Researcher (2017–2018) at DTU Associate Professor (2016–2017) and Assistant Professor (2013–2015) at Chinese Academy of Sciences His research explores nonlinear buckling, fracture mechanics, and Industry 4.0 technologies for structural health monitoring. Recent publications highlight AI-driven damage detection, thermographic analysis, and finite element modeling of composites. He leads projects like QualiDrone and AQUADA-GO, funded by EUDP and VILLUM FONDEN. Key article trends include composite fatigue , digital twins , drone-based inspection , and machine learning for structural monitoring. He received the 2022 Best Presentation Award at an international conference. Projects: Villum Experiment Project DiscoverBlaDE AQUADA-GO QualiDrone DARWIN RELIABLADE RELIfe

• Pharmaceutical Physical Chemistry
• Drug Characterization
• Drug Delivery Systems
• +۷ مورد دیگر

Jesper Østergaard serves as Professor of Pharmaceutical Physical Chemistry within the Department of Pharmacy at the Faculty of Health and Medical Sciences, University of Copenhagen. With over 20 years of continuous service at the institution, he progressed through the academic ranks from Assistant Professor (2003-2006) to Associate Professor (2006-2018) before attaining full Professorship in 2019. His academic journey began with a PhD in pharmaceutical sciences from the University of Copenhagen in 2003. Professor Østergaard's research focuses on advancing fundamental understanding of drug development processes, particularly transport, dissolution, release phenomena, and chemical stability/kinetics. His work emphasizes the interplay between physical chemical properties of drug substances and excipients with transport processes and kinetics related to drug delivery. He has developed novel analytical approaches for physical chemical characterization, including techniques for measuring diffusivity, molecular interactions, and partitioning. His research has significant implications for subcutaneous and intramuscular injectable formulations, with a key focus on developing biopredictive in vitro release testing platforms that emulate in vivo conditions. Current research directions include physicochemical profiling using Taylor dispersion analysis and affinity capillary electrophoresis, design and characterization of injectable depot formulations, development of in vitro release testing methods for long-acting injectables, and application of UV-Vis imaging for drug dissolution and release testing. His publication record demonstrates consistent output across these areas, with recent work emphasizing dissolution dynamics, biorelevant testing methods, and advanced analytical techniques. As an educator, Professor Østergaard is course responsible for the compulsory bachelor courses Pharmaceutical Physical Chemistry I and II, teaching approximately 200 pharmacy students annually. He also supervises master's students in pharmaceutical physical and analytical chemistry, continuing his commitment to training the next generation of pharmaceutical scientists.

• Soil Microbiology
• Antibiotic Resistance
• Environmental Contaminants
• +۵ مورد دیگر

Kristian Koefoed Brandt serves as Associate Professor in the Department of Plant and Environmental Sciences at the University of Copenhagen's Faculty of Science, specializing in Microbial Ecology and Biotechnology. His research focuses on environmental microbiology, antibiotic resistance dynamics, and contaminant fate in agricultural systems. His primary research interests span Soil Microbiology, Antibiotic Resistance, Environmental Contaminants, and Wastewater Treatment, with significant contributions to understanding microbial processes in organic agriculture and wastewater systems. Key themes include bioremediation strategies, pesticide risk assessment, and the One Health implications of emerging contaminants. Analysis of his recent publications reveals a strong emphasis on antimicrobial resistance surveillance across environmental interfaces, particularly in wastewater-river systems and agricultural settings. His work integrates molecular techniques with large-scale environmental monitoring, often through European collaborative projects examining climate gradients and farming practices. 295 citations for 'Emerging contaminants: A One Health perspective' (2024) Featured in 13 news outlets and referenced in Wikipedia High-impact research on wastewater-based disease surveillance Extensive collaboration across European research networks Professor Brandt actively contributes to environmental risk assessment frameworks, particularly regarding recycled nutrients in organic agriculture. His research group employs advanced molecular markers and isotope techniques to study microbial interactions, with significant implications for sustainable agricultural practices and public health monitoring systems.

• Bioinformatics
• Machine Learning
• Computational Biology
• +۷ مورد دیگر

Jan Baumbach is a Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark (SDU), where he leads cutting-edge research at the intersection of computer science, bioinformatics, and biomedical data science. His work integrates machine learning, network biology, and systems medicine to address complex challenges in health and disease. His research interests include Bioinformatics , Machine Learning , Gene Regulatory Networks , Drug Repositioning , Biomedical AI , and Computational Biology . He applies advanced computational methods to analyze large-scale biological data, with applications in cancer, metabolic diseases, dermatology, and infectious diseases. The 15 most recent publications highlight a strong trend toward biomedical artificial intelligence , network-based analysis , and translational bioinformatics . His work spans from foundational machine learning in healthcare to clinical applications in osteoarthritis, bone regeneration, and skin biology. A consistent theme is the integration of multi-omics data and the development of privacy-preserving federated learning frameworks for distributed healthcare systems. Jan Baumbach has been principal investigator on several major research projects, including: EU Horizon2020: Privacy-preserving federated machine learning in distributed healthcare Danish National Research Foundation: ATLAS Center for Functional Genomics of Tissue Plasticity Villum Foundation: Big Data Bioinformatics (Young Investigator Programme) Carlsberg Foundation: Computational profiling of bacterial volatile metabolomes (ProVol) He has supervised 13 PhD students and has an extensive publication record of 262 works. His research has been featured in high-profile media outlets, emphasizing the societal impact of drug repositioning and AI in medicine. He leads a research group focused on computational systems biology , with strong collaborations across Europe in the fields of genomics, metabolomics, and clinical data science.

Martin Skovgaard Andersenمشاهده پروفایل

دانشیار

• Optimization
• Signal Processing
• Machine Learning
• +۱۲ مورد دیگر

Martin Skovgaard Andersen is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), where he specializes in Scientific Computing. His research integrates numerical methods, optimization, and machine learning to solve complex computational problems in engineering and data science. Education: Ph.D., University of California, Los Angeles (2006–2011) M.Sc., Aalborg Universitet (2001–2006) Postdoc, Linköping University, Sweden (2011–2012) His research interests include optimization (particularly conic and stochastic programming), numerical algorithms, signal processing, system identification, and fast solvers for integral equations. He works extensively on matrix analysis, regularization, and low-rank approximations, contributing to both theoretical and applied advancements in computational mathematics. The recent publications highlight a strong trend in developing efficient numerical algorithms for large-scale optimization and solving integral equations. His work emphasizes preconditioning, matrix truncation, and Bayesian inversion, with applications in electromagnetics, structural health monitoring, and network identification. There is a consistent focus on improving computational efficiency and scalability of solvers. Scientific Awards: No specific awards mentioned in the provided text. Andersen actively supervises PhD students and leads multiple research projects, including those on non-symmetric conic optimization, data-sparse models, and fast direct solvers. He is the Principal Investigator (PI) on projects related to physics-informed structural health assessment. His collaborative network spans Denmark and international institutions, particularly in computational mathematics and engineering. Labs and Research Teams: He is affiliated with the Scientific Computing section at DTU, which focuses on high-performance computing, numerical algorithms, and mathematical modeling. His work is embedded in a collaborative environment involving researchers in optimization, control theory, and computational electromagnetics.

Helle Damgaard Zachoمشاهده پروفایل

استاد بالینی

• Nuclear Medicine
• Prostate Cancer
• Ovarian Cancer
• +۳ مورد دیگر

Helle Damgaard Zacho is a Clinical Professor at Aalborg University's Faculty of Health Sciences and Senior Physician at Aalborg University Hospital's Department of Clinical Physiology and Nuclear Medicine . Her work bridges clinical practice with advanced nuclear medicine research. Primary Affiliation: Aalborg University Hospital Academic Role: Clinical research and education at Faculty of Health Sciences Research Focus: PET/CT imaging for cancer diagnostics Zacho leads or co-leads multiple high-impact projects including FAPI/PSMA PET/CT studies for prostate, ovarian, and gastric cancers . Her fingerprint highlights expertise in: Prostate Cancer (100%) Positron Emission Tomography-Computed Tomography (84%) Bone Metastasis (50%) Gallium 68 applications (65%) Deep learning in radiology Cancer staging methodologies Her recent publications focus on optimizing FAPI and PSMA PET/CT for metastatic cancer detection, with active clinical trials in ovarian and prostate cancer diagnostics. While no formal awards are listed, her 147+ publications and 8 ongoing projects demonstrate substantial research output. Media coverage highlights her team's potential 'super-weapon' for cancer diagnostics (2023-2024), including national press attention for Denmark's best clinical trial 2025. She serves as a peer reviewer for journals like World Journal of Gastroenterology and participates in major urological cancer conferences.

Yifeng Zhangمشاهده پروفایل

استاد

• Microbial Electrochemistry
• Carbon Capture & Utilization
• Wastewater Treatment
• +۵ مورد دیگر

Yifeng Zhang is a Professor at the Department of Environmental and Resource Engineering, Technical University of Denmark (DTU). His research focuses on advanced electrochemistry in environmental and resource engineering, including wastewater treatment, resource recovery, microbial electrochemistry, and sustainable carbon capture. He leads the Water Technology & Processes group and the DTU Microbes Initiative. Zhang holds a PhD from DTU (2012) and has secured over 60 million DKK in research funding, including the prestigious Carlsberg Foundation Distinguished Fellowship. His work contributes to UN SDGs related to clean water, affordable energy, and climate action. Education: Ph.D., Technical University of Denmark (2009–2012) M.Sc., Dalian University of Technology (2005–2009) Research Interests: Microbial electrochemistry Carbon capture and utilization Wastewater treatment and resource recovery Electrocatalysis and electrochemical sensors Environmental bioremediation Awards: James J. Morgan Early Career Award (ACS, Honorable Mention) Carlsberg Foundation Distinguished Fellowship World’s Top 2% Scientists His research has produced over 200 publications and 3 patents, with a focus on translating innovations into practical solutions. Current projects include microbial electrosynthesis for single-cell protein production, carbon capture via bioelectrochemical systems, and sustainable wastewater treatment technologies.

Selin Karaمشاهده پروفایل

استاد

• Industrial Biotechnology
• Biocatalysis
• Enzyme Immobilisation
• +۳ مورد دیگر

Professor Selin Kara is affiliated with the Department of Biological and Chemical Engineering at Aarhus University, Faculty of Engineering. Her primary research focuses on Industrial Biotechnology, Biocatalysis, and Process Intensification, with expertise in Enzyme Immobilisation and Sustainable Process Engineering. She leads projects exploring novel biocatalytic processes, non-conventional reaction media, and the optimization of enzymatic reactions for industrial applications. Her research integrates experimental and computational approaches to enhance enzyme performance in non-aqueous solvents like deep eutectic solvents (DES) and lipid-based systems. Projects include developing photocatalytic synthesis methods, fusion enzymes for enzymatic cascades, and novel hydrogel characterization techniques. She has contributed to advancing light-driven sustainable biocatalysis and improving antimicrobial biomaterials. Key projects include the PHOTOX-f initiative (2025) and PhotoBioCat network (2018-2022), focusing on light-dependent biocatalytic systems and sustainable chemical production. Her work emphasizes industrial applications, environmental impact analysis, and process optimization for scalable biocatalytic solutions. Award-winning educator and researcher, Professor Kara collaborates internationally and holds a prominent role in training early-stage researchers in sustainable biocatalysis through EU-funded networks. Her labs specialize in enzymatic process development, material characterization, and continuous flow bioreactors.

Stefan Kragh Nielsenمشاهده پروفایل

استاد

• Plasma Physics
• Fusion Energy
• Collective Thomson Scattering
• +۷ مورد دیگر

Stefan Kragh Nielsen is a Professor and Section Leader in the Department of Physics at the Technical University of Denmark (DTU), specializing in Plasma Physics and Fusion Energy. He is actively involved in experimental and theoretical research related to fusion plasma diagnostics, particularly collective Thomson scattering and microwave-based measurements in tokamak devices such as ASDEX Upgrade and Wendelstein 7-X. His research interests include: Plasma Physics and Fusion Energy Collective Thomson Scattering Fast Ion Dynamics Electron Cyclotron Resonance Heating Parametric Instabilities Microwave Diagnostics The recent publications highlight a strong focus on advanced diagnostics, nonlinear wave interactions, and fast ion behavior in fusion plasmas. His work spans theoretical modeling, experimental validation, and instrumentation development, particularly in high-frequency microwave systems for continuous plasma monitoring. Trends show increasing emphasis on reduced modeling techniques and real-time diagnostic capabilities for next-generation fusion reactors. Scientific contributions include: Development of ultrafast digitizers for microwave diagnostics Commissioning of 174 GHz CTS systems at W7-X Modeling of metaplectic geometrical optics for plasma waves Investigation of parametric decay in gyrotron beams He actively supervises multiple PhD students on topics such as non-linear processes in electron Bernstein wave heating, ion dynamics via CTS, and parametric decay instabilities in spherical tokamaks. His projects are well-funded and aligned with international fusion research goals. He has collaborated extensively with major fusion facilities including ASDEX Upgrade, Wendelstein 7-X, and JET. No formal awards are listed in the provided text. He leads a research team focused on advancing plasma diagnostic capabilities for future fusion reactors.