جست‌وجوی استاد و پژوهشگر

• Radiology
• Medical Imaging
• Magnetic Resonance Imaging
• +۷ مورد دیگر

Karen Brage is an External Lecturer affiliated with the Department of Clinical Research at the University of Southern Denmark, with collaborative ties to Karolinska Institutet (KI) and Odense University Hospital (OUH), particularly within the Research Unit of Radiology in Odense. Her role as an external lecturer suggests a part-time or adjunct academic position with active engagement in clinical radiology research and education. Research Interests: Her work centers on medical imaging, with a focus on magnetic resonance imaging (MRI) , elastography , pediatric imaging , and radiation dose optimization . She investigates diagnostic accuracy, imaging protocols, and the evolving role of radiographers in reporting CT and MRI findings. Her research also extends to innovative teaching methods such as virtual reality in radiography education. Publication Trends: Her recent publications (2023–2025) reveal a strong emphasis on clinical applications of imaging systems like EOS, patient safety in radiography, and methodological improvements in imaging quality and dose reduction—particularly in vulnerable populations such as children and women. The integration of technology and evidence-based review in radiographer practice is a recurring theme. Nominated for The Young Investigator Reward (2017) Advising and Grants: No information is available about students advised or specific grants received. However, her extensive publication and conference activity suggest active research collaboration and likely involvement in funded projects, though details are not disclosed in the provided text. Labs and Teams: Karen Brage is embedded in the Research Unit of Radiology (Odense) and collaborates with multidisciplinary teams at OUH and SDU. She participates in research networks focused on radiology, imaging safety, and musculoskeletal diagnostics, contributing to both national (Danish Radiological Society) and Nordic-level scientific communities.

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.

Peter Johansenمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Machine Learning in Healthcare
• Cardiovascular Medicine
• +۳ مورد دیگر

Peter Johansen is an Associate Professor at the Department of Electrical and Computer Engineering and Biomedical Engineering at Aarhus University. His research focuses on the intersection of biomedical engineering and cardiovascular medicine, particularly in developing innovative medical devices and computational models for cardiac interventions. His work spans Aortic annuloplasty techniques Stent-based heart valve repairs Fluid dynamics in mock circulatory systems Machine learning for seizure detection using ECG data . Recent projects include a 2016-2019 study on fracture mechanics of bioprosthetic heart valves. Peter collaborates on interdisciplinary studies, often involving 3D printing, computational modeling, and in vivo animal models to validate novel treatments and devices.

Narguess Nematiمشاهده پروفایل

استادیار

• Mechanical Engineering
• Materials Science
• Tribology
• +۴ مورد دیگر

Narguess Nemati is a Tenure Track Assistant Professor at Aarhus University, affiliated with the Department of Mechanical and Production Engineering Mechanics and Materials. Her research focuses on advanced materials characterization, thermal load effects on nuclear-grade tungsten, tribological performance of polymer-metal interfaces, and novel coating technologies for extreme environments. Recent research trends include: Computational modeling of dendritic growth in additive manufacturing alloys Multi-nanolayer coating systems for wear-resistant surfaces Thermal-mechanical behavior of materials under extreme conditions Development of sacrificial protection systems for nuclear reactors Surface engineering for industrial applications Professional activities include: Design and fabrication of ultra-durable multi-nanolayer coatings (2021 lecture) Collaborative research through Aarhus University's laboratories and workshops

Mario Javier Rincónمشاهده پروفایل

پژوهشگر ارشد

• Fluid Mechanics
• Energy Engineering
• Turbulence Modelling
• +۸ مورد دیگر

Mario Javier Rincón is an Industrial Postdoctoral Researcher at Aarhus University’s Department of Mechanical and Production Engineering, collaborating with Kamstrup A/S. His work focuses on data-driven turbulence modelling and optimisation of ultrasonic flow meters using computational fluid dynamics (CFD) and surrogate modelling techniques. Education PhD in Fluid Mechanics, Aarhus University (2020–2023) MSc in Energy Engineering, Aalborg University (2016–2018) BSc in Mechanical Engineering, Universidad Carlos III de Madrid (2011–2016) Research Interests Rincón specializes in turbulence modelling enhanced by data-driven corrections, topology optimisation for industrial systems, and CFD-driven surrogate optimisation. His open-source contributions include the PDA-enhanced k-omega SST model with OpenFOAM. Publications Trends His research output spans fluid mechanics, energy engineering, and industrial optimisation. Key areas include turbulence model augmentation, flow meter design, and renewable energy forecasting using hybrid machine learning frameworks. Laboratories and Teams He is affiliated with Aarhus University’s Fluids and Energy section and collaborates with Kamstrup A/S on industrial CFD applications for flow measurement technologies.

• Turbulence Modeling
• Stochastic Processes
• Ambit Field Theory
• +۳ مورد دیگر

Jürgen Schmiegel is an Associate Professor at the Department of Mechanical and Production Engineering at Aarhus University. His research bridges theoretical and applied domains, focusing on stochastic modeling in turbulence, ambit fields, and non-semimartingale techniques. Key contributions include turbulence analysis via Lévy-driven processes and space-time symmetry studies. Research Themes : Stochastic intermittency in turbulent flows Applications of ambit fields and Lévy processes Non-Gaussian and multifractal modeling Time change and universality in turbulence Collaborations : Collaborated with Ole E. Barndorff-Nielsen on ambit stochastics Worked with F. Pons on von Kármán experiments Activities : Organized/attended conferences on turbulence and stochastic finance Presented on spatial-temporal modeling in biology and geosciences

• Urology
• Interventional Pulmonology
• Anesthesiology
• +۴ مورد دیگر

Peter Rose Zepernick is a Clinical Professor at Aalborg University's Faculty of Medicine and serves as Chief Physician in the Department of Urology at Aalborg University Hospital since June 1, 2024. Previously, he held the position of specialist consultant in the Department of Anaesthesiology and Intensive Care at the same institution. His professional email is prz@rn.dk. His research spans Urology, Interventional Pulmonology, Anesthesiology, and Radiation Oncology, with core expertise in lung biopsy techniques, apneic oxygenation protocols, fiducial marker development for radiation therapy, and respiratory motion management during interventions. His work frequently employs porcine models to simulate human physiological conditions and advance preclinical validation of medical devices. Publication analysis reveals consistent focus on image-guided procedural innovation, particularly CT-guided biopsies under apneic conditions, NiTi stent applications as radiation fiducials, and real-time tumor tracking systems. These contributions bridge anesthesiology support with precision oncology interventions, emphasizing translational solutions for respiratory and urological pathologies.

Peter Michael Yaworskyمشاهده پروفایل

استادیار

• Archaeology
• Environmental Archaeology
• Paleoclimatology and Human Adaptation
• +۷ مورد دیگر

Peter Michael Yaworsky is an Assistant Professor in the Department of Archaeology and Heritage Studies at the School of Culture and Society, Aarhus University. His research bridges archaeology, climate science, and human behavioral ecology, with a strong focus on prehistoric subsistence, land use, and societal responses to environmental change. His research interests lie at the intersection of environmental archaeology and human adaptation. He investigates how climatic fluctuations influenced human decision-making, particularly in relation to agriculture, hunting, settlement patterns, and social inequality. His work often employs advanced quantitative and simulation-based methods to test archaeological hypotheses, as demonstrated by his leadership in the Archaeoriddle challenge. He has conducted extensive research in North America (e.g., Ancestral Puebloan, Fremont, Great Basin) and Europe (e.g., Upper Paleolithic, Neanderthal niches). The body of his recent publications reveals a consistent trend toward interdisciplinary, data-driven archaeology. He integrates paleoenvironmental datasets with archaeological evidence to model habitat suitability, population dynamics, and resource use across millennia. His work spans key transitions in human history, including the shift from foraging to farming and the impacts of climate change on societal stability. While no specific scientific awards are listed in the provided text, his publications in top-tier journals such as Proceedings of the National Academy of Sciences (PNAS) , Scientific Reports , and American Antiquity indicate significant scholarly recognition. Dr. Yaworsky actively collaborates with an international network of researchers and contributes to major archaeological projects. Though no formal advising or grant information is provided, his publication record suggests active mentorship and research leadership. His work continues to push methodological boundaries in archaeology, promoting transparency and reproducibility through simulated data challenges.

Irene Shimمشاهده پروفایل

پژوهشگر

• Electronic State Chemistry
• Ground State Chemistry
• Chemical Bond
• +۶ مورد دیگر

Irene Shim is a Researcher at the Department of Chemistry, Technical University of Denmark (DTU), specializing in ab initio quantum chemical calculations and electronic structure analysis. Her work bridges theoretical chemistry with biochemical applications, particularly in redox metalloenzymes and nucleic acid therapeutics. Research Focus: Electronic states, chemical bonding, and molecular stability in metalloproteins and modified oligonucleotides. Projects: Managing long-term initiatives on molecular radicals and transition metal-containing systems since 1996. Her recent publications highlight collaborations with leading researchers like Hans Bohr and Jens Ulstrup, exploring protein conductivity mechanisms and drug delivery simulations. A 2021 Scientific Reports study demonstrated predictive models for antisense drug uptake, while her 2024 work in ChemistryOpen investigates substrate-triggered enzyme dynamics. Shim contributes to PhD supervision as an examiner, including projects on QSAR techniques for polysaccharide properties (1999-2002). Her research is supported by grants from Danish Research Councils and collaborations with institutions like Texas A&M University.

Rodrigo Morenoمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Robotics
• +۵ مورد دیگر

Rodrigo Moreno is an Assistant Professor at the IT University of Copenhagen, where he joined in 2020. His research focuses on applying AI and machine learning to robotics, with special emphasis on evolutionary robotics, modular robots, and lab automation, particularly for battery chemistry synthesis processes in the BIG-MAP project. His educational background includes a PhD in Systems and Computer Engineering (2019), an MEng in Industrial Automation (2010), and a BSc in Mechatronics Engineering (2008), all from Universidad Nacional de Colombia. His research interests span Artificial Intelligence, Machine Learning, Robotics, Evolutionary Robotics, Modular Robots, Lab Automation, Battery Chemistry Synthesis, and Emergence. His recent publications demonstrate significant work in modular robot evolution, with experiments varying base lengths and analyzing fitness, number of modules, and structural properties. His research employs evolutionary algorithms to optimize robot morphology and control, with applications extending to laboratory automation for battery chemistry. The BIG-MAP and EMERGE projects represent his current major research directions, bridging robotics with chemical synthesis automation. Evolution of modular robots with variable morphologies CPG parameter optimization for robot locomotion Statistical analysis of evolutionary outcomes Lab automation for battery chemistry synthesis His GitHub repositories show active development of research code for evolutionary robotics experiments, with a focus on quantitative analysis and visualization of evolutionary processes. His work demonstrates a strong integration of theoretical evolutionary computation with practical robotics applications.

Christoph Köhnمشاهده پروفایل

پژوهشگر

• Electric Fields
• Planetary Atmosphere
• Monte Carlo
• +۲۲ مورد دیگر

Christoph Köhn is a Senior Researcher at the Department of Space Research and Technology within the Technical University of Denmark . His work spans atmospheric physics , plasma dynamics , and astrophysical phenomena , with a focus on thunderstorms, lightning, and terrestrial gamma-ray flashes (TGFs). He contributes to the UN Sustainable Development Goals through research on atmospheric electricity and climate-related processes. Expertise Areas : Electric Fields, Planetary Atmosphere, Monte Carlo Methods, Lightning Physics, Bremsstrahlung, Gamma Radiation, Electric Corona. His recent research trends emphasize: • Streamer discharges in extreme atmospheric conditions • Relativistic jets and magnetic field interactions • Monte Carlo simulations for particle transport • Climate impact of high-energy atmospheric phenomena • Space mission data analysis (ASIM, ISS-LIS). PhD Supervision : Main or co-supervisor for students including E. J. Fangel-Lloyd , M. Heumesser , M. Tomicic , and K. Dimitriadou . He utilizes 3D computational models (AMReX, PIC) and space-based observations to study lightning-TGF relationships, planetary atmospheric processes, and plasma instability. His work bridges fundamental physics and climate science .

Nicolaj Østerby Jensenمشاهده پروفایل

پژوهشگر

• Model Checking
• Temporal Logic
• Timed Automata
• +۳ مورد دیگر

Nicolaj Østerby Jensen is a Postdoctoral Researcher at the Department of Computer Science, The Technical Faculty of IT and Design, Aalborg University, working within the Section for Distributed, Embedded and Intelligent Systems in the Data Engineering, Science and Systems group. His research is focused on formal methods and model checking with applications in distributed systems and timed automata. His research interests include Model Checking, Temporal Logic, Timed Automata, Dependency Graphs, Formal Verification, and Distributed Systems. Jensen's work primarily involves developing algorithms and frameworks for verifying properties of complex systems, with particular emphasis on timed systems and distributed model checking approaches. Jensen's publication record shows consistent output from 2020-2025, with his most recent work in 2025 focusing on symbolic algorithms for timed ATL with abstractions and token elimination in Petri net model checking. His research demonstrates a strong focus on improving efficiency and scalability of model checking techniques for complex systems. His work has been published in prestigious venues including CONCUR, TACAS, GandALF, and ICFEM, indicating recognition within the formal methods community. The citation metrics suggest his research is gaining traction in the field, with several publications receiving multiple citations. Based in Aalborg, Denmark, Jensen collaborates extensively with colleagues including Kim G. Larsen, Jirí Srba, and other researchers at Aalborg University, contributing to the institution's strong reputation in formal methods and verification.

Leon Mishnaevsky Jr.مشاهده پروفایل

پژوهشگر

• Wind Energy
• Composite Materials
• Computational Mechanics
• +۴ مورد دیگر

Leon Mishnaevsky Jr. serves as Senior Scientist at the Technical University of Denmark (DTU) Department of Wind and Energy Systems and Privatdozent (Lecturer) at Technical University of Darmstadt, Germany. His research bridges computational materials science and wind energy engineering, focusing on durability challenges in renewable energy infrastructure. He leads the Composites Analysis and Mechanics group within DTU's Wind Energy Materials and Components Division, directing critical investigations into blade erosion mechanisms and sustainable material solutions. His research portfolio centers on wind turbine blade integrity , with expertise spanning computational mesomechanics, nanosimulation of composites, and erosion modeling. Key focus areas include rain/solid-particle leading-edge erosion, self-healing composite systems, microplastic pollution mitigation, and sustainable blade lifecycle management. His methodologies integrate multiscale modeling, experimental validation, and field data analysis to address real-world engineering failures in extreme environments. Analysis of recent publications reveals dominant trends in erosion prediction (72% of works), composite recycling (18%), and self-healing materials (10%). The field increasingly emphasizes probabilistic modeling of stochastic damage processes, nanoreinforced protective coatings, and environmental impact quantification – particularly microplastic emissions from blade degradation. Computational frameworks now prioritize multi-physics coupling (fluid-structure interaction, thermomechanics) and AI-enhanced predictive capabilities. Stanford’s list of top 2% scientists in the world Research.com list of Top Materials Scientists globally Author of 3 authoritative textbooks including Computational Mesomechanics of Composites (Wiley) As principal investigator, he directs 5 major projects including PREMISE (€2.3M Velux Foundation grant preventing microplastic pollution) and WiseWind (Innovation Foundation project for sustainable blades). His supervision portfolio includes 4 PhD/Master's students working on erosion modeling and repair techniques. Current grants total over €8M from Danish/EU sources, with strong industry partnerships across Germany, India, and France. He chairs the DURALEDGE consortium developing durable leading-edge protection systems for 25+ MW offshore turbines. Mishnaevsky coordinates DTU's Wind Energy Materials and Components Division, which operates advanced testing facilities for erosion simulation, composite characterization, and digital twin development. His team collaborates with the IEA Wind Task 46 Erosion group and maintains the PREMISE field-testing site in Roskilde. Recent initiatives include the MAINTAINERGY project establishing India-Denmark repair standards and the NEXTgenT consortium designing next-generation turbine rotors.

Jacob Steen Møllerمشاهده پروفایل

مدرس

• Facilities Management
• Civil Engineering
• Environmental Impact Assessment
• +۵ مورد دیگر

Jacob Steen Møller is a Danish academic administrator currently serving as Director of Facilities and Real Estate at the Technical University of Denmark (DTU) since 2009, with previous leadership as Head of the Department of Civil Engineering from 2003-2009. His career spans both academic and industry sectors, including 19 years at DHI Water & Environment where he progressed to division director, and he holds a PhD in Environmental Hydraulics from DTU (1984). His educational background includes: PhD in Environmental Hydraulics, Technical University of Denmark (1984) MSc in Civil Engineering, Technical University of Denmark (1980) Basic military training, Corps of Engineers, Farum (1981) Møller's research focuses on facilities management, civil engineering, environmental impact assessment, hydraulic engineering, and applied oceanography. His work particularly emphasizes sustainable building practices, water resource management, and strategic campus development. He has made significant contributions to major infrastructure projects including the Øresund and Great Belt Links, where he developed the 'Zero Impact Solution' guaranteeing no environmental impact on the Baltic Sea from these fixed links. His publication trajectory shows a clear evolution from pure hydraulic engineering toward facilities management and sustainability in university operations. Early work concentrated on stratified flow and environmental hydraulics with publications like 'Mixing in stratified flow caused by obstacles' (1997), while recent publications address sustainable building practices, value analysis in facilities management, and strategic university planning as seen in 'Value adding FM in practice' (2019). This research bridges engineering science with practical applications in large-scale infrastructure and campus development. Møller has held numerous leadership positions including Chairman of G.A. Hagemanns Kollegium (2012-date), Chairman of DTU-HF amba. (2011-date), and elected member of Realdania's Board of Representatives (2010-date). He previously served as Chairman of the Academy Council at the Danish Academy of Technical Sciences (2010-2013) and has been active in various committees related to engineering, facilities management, and sustainable development. Through his role as Manager for the International Research School in Civil Engineering at DTU and various examiner appointments at DTU and Aalborg University (1990-2003), Møller has contributed to academic mentoring. His project leadership includes significant grants for infrastructure projects like the Femern Belt Link hydrographic investigations (2007-2010) and the Nord Stream Gas Pipeline impact studies (2009-2010). While not leading a traditional research lab, Møller has directed major research initiatives including the Realdania Centre for Facilities Management and DHI's strategic R&D projects such as Operational Water Forecasting. His work connects academic research with practical applications in civil engineering and facilities management through various institutional partnerships and international projects across multiple continents.

Philipp Ulrich Haselbachمشاهده پروفایل

دانشیار

• Wind Energy
• Composite Materials
• Structural Engineering
• +۳ مورد دیگر

Philipp Ulrich Haselbach is an Associate Professor at the Department of Wind and Energy Systems, Technical University of Denmark (DTU), specializing in structural design and testing of wind turbine blades. His research focuses on composite materials, fatigue and fracture mechanics, and advanced numerical modeling techniques for wind energy systems. Contributions: Structural analysis of wind turbine blades, manufacturing process modeling for hybrid fiber composites, multi-fidelity simulation frameworks, and residual stress prediction in thermosets. Sustainable Development Goals: His work aligns with SDGs related to affordable and clean energy (7), industry innovation (9), and climate action (13). Publication Trends: Recent articles emphasize structural performance prediction, composite manufacturing optimization, and fatigue/fracture analysis in wind turbine blades. Key methodologies include finite element modeling, vacuum-assisted resin infusion, and experimental validation of bio-based materials. Supervision: He actively supervises PhD and Master’s students in projects involving blade material innovation (e.g., hemp fibers and bio-resins), cure-induced defect analysis, and computational frameworks for hybrid composite structures.