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Zoran Cenev holds a Tenure Track Assistant Professor position within the Mechatronics and Dynamics section of the Department of Mechanical and Production Engineering at the School of Engineering, Aarhus University. His primary institutional affiliation is with AU Engineering, and contact details include email zoran.cenev@mpe.au.dk and telephone +45 20 64 75 44, with office location Aarhus N, 5128-140. Research interests focus on interdisciplinary applications of magnetic and robotic systems: Robotic micromanipulation via electromagnetic needles Ferrofluid-based biofabrication for skeletal muscle engineering Laser-induced photothermal droplet control Theoretical modeling of particle dynamics at fluid interfaces Surface engineering for underwater metallic stability Nanostructure formation through ion bombardment His recent publications (2023-2025) reveal a dominant trend in adapting ferrofluids for biomedical automation, particularly 3D bioprinting of magnetically responsive tissues and droplet manipulation on engineered surfaces. This work bridges mechanical engineering with regenerative medicine, emphasizing practical implementations of theoretical models for microscale precision. Scientific awards are not documented in the provided information. As a faculty member, Dr. Cenev likely mentors graduate students and pursues research grants, though specific advisees or funding details are absent. Departmental laboratories and workshops support his experimental work in mechatronics, with emphasis on magnetic manipulation systems and surface characterization.

• Robotics
• Mechatronics
• Ferrofluids
• +3 more

Anders Krogh is a Professor at the Department of Computer Science, University of Copenhagen, and also holds a position at the Department of Public Health in the Section for Health Data Science and AI. He serves as the head of the Center for Health Data Science (HeaDS) in the Faculty of Health and Medical Sciences. Previously, he was affiliated with the Department of Biology at the University of Copenhagen until 2020. Dr. Krogh earned his PhD in theoretical physics but transitioned into machine learning and bioinformatics during his doctoral studies. His research spans both theoretical foundations and practical applications in these fields. He is particularly renowned for his pioneering work on hidden Markov models for biological sequences, which has had significant impact in computational biology. In recent years, Krogh's research has focused on deep generative models applied to gene expression data and other biomedical applications. His work bridges computer science with healthcare, developing AI-driven approaches for precision medicine, cancer diagnostics, and analysis of complex biological systems. His current research integrates machine learning with quantum computing applications in biomolecular modeling. Analysis of his recent publications reveals a strong trend toward applying artificial intelligence to healthcare challenges, particularly in rare diseases, cancer diagnostics, and personalized medicine. His work increasingly incorporates federated learning approaches to address privacy concerns while enabling collaborative research across institutions. There's also a growing emphasis on quantum computing applications in biomolecular modeling and drug discovery. As head of the Center for Health Data Science, Krogh leads interdisciplinary research efforts that bring together computer scientists, medical researchers, and clinicians. His team develops novel computational frameworks like MOSAIC for multimodal analysis of rare cancers and multiDGD for multi-omics data integration. These tools are designed to translate AI innovations into clinical practice while addressing the unique challenges of medical data.

• Machine Learning
• Bioinformatics
• Deep Generative Models
• +3 more

Anja Boisen is a Professor and Head of the Drug Delivery and Sensing Section at the Department of Health Technology, Technical University of Denmark (DTU). Her research focuses on advanced drug delivery systems, sensing technologies, and nanotechnology applications in biomedical engineering. She leads a multidisciplinary team developing innovative devices such as microcontainers, microneedles, and lab-on-a-disc platforms for targeted drug delivery and diagnostics. Her work contributes to UN Sustainable Development Goals, particularly in improving health and reducing inequalities. Key research areas include surface-enhanced Raman spectroscopy (SERS), microfabrication for medical devices, and biomaterials for tissue engineering. She has supervised multiple PhD students, including projects on oral drug delivery systems, gastrointestinal retention devices, and energy-harvesting materials for biomedical applications. Boisen’s team has pioneered technologies like self-unfolding foils for oral delivery and smart drug delivery microparticles. Their innovations aim to enhance therapeutic efficacy while minimizing side effects. She has been recognized with the Sensor Division Outstanding Achievement Award (2022) for her contributions to sensor technology. Her lab actively collaborates internationally, advancing applications in cancer therapy, antibiotic monitoring, and gut microbiota research. Current projects explore high-throughput 3D tumor modeling, SERS-based diagnostics, and biodegradable materials for bone fixation.

• Drug Delivery
• Sensing Technologies
• Nanotechnology
• +3 more

Claus Hélix-Nielsen is a Professor and Head of Department at the Department of Environmental and Resource Engineering, DTU Sustain, Technical University of Denmark. His research focuses on lipid-protein interactions, biomimetic membranes, membrane transport, and membrane channel proteins, utilizing electrophysiology, fluorescence spectroscopy, and computational modeling. Current Position: Professor and Head of Department Institution: Technical University of Denmark Research Unit: DTU Sustain Department: Environmental and Resource Engineering Research Interests: Dr. Hélix-Nielsen investigates how the hydrophobic coupling between transmembrane proteins and lipid bilayers regulates protein function through bilayer mechanical properties. His work also explores how these properties influence membrane dynamics, including vesiculation. He develops biomimetic membranes for biosensor and separation technologies, employing advanced techniques like Raman spectroscopy and molecular dynamics simulations. Recent Publications Trends: His 15 most recent articles emphasize biomimetic membrane engineering, membrane biophysics, and applications in environmental and biomedical fields. Topics range from artificial ion channels and drug delivery systems to computational modeling of lipid-protein interactions and environmental monitoring sensors. Techniques: Key methodologies include electrophysiology, fluorescence spectroscopy, electron paramagnetic resonance, Raman spectroscopy, and molecular dynamics simulations.

• Lipid-protein interactions
• Biomimetic membranes
• Membrane transport
• +3 more

Kunihiko Kaneko is a Professor at the Niels Bohr Institute, University of Copenhagen, with a distinguished career in theoretical biophysics and complex systems. He received his PhD and MSc in Physics from the University of Tokyo, and has held leadership roles at the Universal Biology Institute and Center for Complex Systems Biology. PhD Physics, 1984 - University of Tokyo MSc Physics, 1981 - University of Tokyo His research spans five primary areas: Universal Biology, Evolutionary Constraints, Ecosystem Dynamics, Neural Cognition, and Universal Anthropology. He has published extensively on multi-level consistency principles, dimensional reduction in biological systems, and reciprocity between robustness and plasticity across scales. Recent publications show strong focus on microbial ecosystems (2025), evolutionary game theory (2025), neural modular architectures (2024), and dimensional reduction in cellular systems (2024). His work bridges physics and biology through dynamical systems theory applied to diverse phenomena from protocells to human societies.

• Theoretical Biophysics
• Complex Systems
• Chaos
• +6 more

Jesper Lund Pedersen is an Associate Professor at the Department of Mathematical Sciences , University of Copenhagen , specializing in applied probability theory with applications in financial mathematics and insurance mathematics . His research spans stochastic processes, optimal stopping time problems, and stochastic control. Education : PhD in Mathematics (2000, Aarhus University) His work addresses: (Nonlinear) optimal stopping time problems Stochastic control and filtering Multidimensional point processes Levy processes in finance Key publications reveal expertise in Bayesian changepoint detection , random drift identification , and mean-variance portfolio optimization , with interdisciplinary applications in neuroscience (V-ATPase dynamics) and epidemiology. Scientific awards : Villum Experiment Grant (2018-2020) Steno Research Fellowship (2002-2005) His research collaborations span Denmark, the UK, Germany, and the USA, focusing on probability theory, financial mathematics, and biomedical applications.

• Applied Probability Theory
• Financial Mathematics
• Insurance Mathematics
• +3 more

Ditte Hededam Welner is a Senior Researcher & Group Leader at the Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark. Her research focuses on Enzyme Engineering and Structural Biology, particularly the development of enzyme biocatalysts for sustainable industrial production of natural products like aromas, dyes, and pharmaceuticals. She leads efforts to replace petroleum-based chemical synthesis with eco-friendly bio-based processes, emphasizing glycosyltransferase (GT) engineering to enhance substrate specificity, efficiency, and stability. Education: Biochemistry, University of Copenhagen (2000–2011). Research Interests: Glycosylation mechanisms, high-throughput enzyme discovery/evolution, structural biology techniques (X-ray crystallography, NMR), and biocatalysis applications in sustainable chemistry. Her work contributes to UN SDG 9 (Industry, Innovation, and Infrastructure) and SDG 12 (Responsible Consumption and Production). Recent publications highlight advancements in alginate degradation mechanisms, sucrose synthase engineering, and glycosyltransferase applications in biocatalytic routes for indigo/indican production. She supervises multiple PhD projects on enzyme optimization, machine learning for enzyme engineering, and sustainable bioprocessing. Professional Activities: Peer review for journals like Nature Catalysis and Metabolic Engineering , conference organization, and editorial contributions. Active in promoting open-access science and sustainable biotechnology. Labs/Teams: Leads the Enzyme Engineering and Structural Biology group at DTU, collaborating with industry and academic partners globally to advance biocatalytic solutions for environmental challenges.

• Enzyme Engineering
• Structural Biology
• Biocatalysis
• +4 more

Jens Honore Walther is a Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). His research focuses on fluid mechanics, coastal and maritime engineering, and computational fluid dynamics (CFD). He leads projects on wave energy converters, multiphase flow systems, and thermal energy applications. His work contributes to sustainable development goals related to clean energy and climate action. External Roles: Research associate at ETH Zurich (2003–present) Postdoctoral fellow at ETH Zurich (2000–2003) Project manager at Danish Maritime Institute (1996–1997) Research scientist at Danish Meteorological Institute (1994–1996) Research Interests: Walther’s expertise spans CFD modeling, granular flow dynamics, and nanofluidics. His recent projects include optimizing wave energy converters, analyzing gap resonances in marine structures, and developing multiphase ejector geometries for heat pumps. His work integrates high-performance computing and experimental validation to address challenges in marine engineering and energy systems. Advising & Projects: He supervises PhD students in areas such as elite sport aerodynamics, gas lubrication, and alternative fuel combustion. Notable projects include: Elite sport aerodynamics (2024–2026) Alternative fuel injection in marine engines (2023–2026) Multi-physical gas bearing modeling (2024–2027) Labs & Collaborations: Walther collaborates with institutions like ETH Zurich and engages in experimental facilities at DTU. His group focuses on advanced CFD simulations and fluid-structure interaction studies.

• Fluid Mechanics
• Coastal and Maritime Engineering
• Computational Fluid Dynamics
• +9 more

Michael Obersteiner is Professor and Director of the Environmental Change Institute (ECI) at the University of Oxford, where he leads interdisciplinary research on climate change, ecosystems, and sustainability. He previously served as Director of the Ecosystems Services and Management (ESM) Program at the International Institute for Applied Systems Analysis (IIASA), a position he held since 2011. His research focuses on biophysical and economic modeling of terrestrial ecosystems, forestry, agriculture, and integrated assessment, with strong applications in environmental policy. His work supports science-based decision-making for institutions including the European Commission, WWF, and OECD. He has published over 250 scientific papers and is recognized as a Highly Cited Researcher by Clarivate. The recent publications reflect a consistent focus on climate change mitigation, sustainable land use, carbon sequestration, and policy modeling. Key trends include the integration of economic and ecological models, scenario analysis for global change, and the role of land-based solutions in achieving climate targets. His work frequently bridges science and policy, emphasizing actionable insights. Highly Cited Researcher (Top 1% by citations, Clarivate) Professor Obersteiner has advised numerous national and international organizations, translating complex modeling outputs into policy recommendations. While specific grant details are not listed, his leadership of large-scale programs at IIASA and Oxford indicates substantial funding from public and international bodies. He has mentored researchers and led multidisciplinary teams, though formal student advisees are not named in the text. He has led major research units including the ESM Program at IIASA and now directs the Environmental Change Institute at Oxford, fostering collaborative, interdisciplinary teams focused on global environmental challenges.

• Environmental Change
• Biophysical Modelling
• Ecosystems Science
• +7 more

Poul Henning Jensen is a full Professor at Aarhus University , affiliated with both the Department of Biomedicine (Skou-building) and the Department of Molecular Biology and Genetics (Neurobiology section). Research Interests : Neurobiology of synucleinopathies Molecular mechanisms in Parkinson's disease Protein aggregation and propagation Calcium signaling in neurodegeneration Neuroinflammatory responses Scientific Activities : His work focuses on α-synuclein biology, covering structural analysis, aggregation pathways, and their pathological consequences. Recent studies include novel detection methods for early α-synuclein pathology mechanisms of neurotoxicity sex-specific neuroprotective factors and protein interaction networks in disease models . Scientific Awards : Recipient of at least one significant research prize Collaborations : Works with international teams on clinical trials targeting α-synuclein and coordinates multiple studies on neurodegenerative disease mechanisms.

• Neurobiology
• Parkinson's Disease
• Synucleinopathies
• +4 more

Ala Trusina is an Associate Professor at the Niels Bohr Institute , University of Copenhagen , specializing in Biocomplexity and Biophysics . Her research integrates coarse-grained modeling to study complex biological systems. Key Research Areas Stress Response Systems (diabetes, aging, cancer, inflammation) Stem Cell Differentiation (cell fate coordination, reversibility of states) Complex Systems (species coexistence, epidemics, CRISPR-phage interactions) Methodologies Theoretical: Agent-based modeling, in-silico simulations Experimental: Quantitative single-cell imaging, RNA/protein profiling Collaborations Joshua Brickman (ES cells), Anne Grapin-Botton (pancreas), Feroz Papa (diabetes), Else Kai Hoffman (p53 dynamics) Thomas Mandrup-Poulsen (inflammation), Savas Tay (spatio-temporal regulation) Teaching Physics of Molecular Diseases Numerical Methods in Physics

• Systems Biology
• Stress Response
• Stem Cell Differentiation
• +3 more

Sophia Natasha Wilson is a Research Fellow in the Department of Computer Science (DIKU) at the University of Copenhagen, specializing in machine learning applications across interdisciplinary domains. She is affiliated with the SCIENCE AI Centre and holds a cross-departmental position at the Niels Bohr Institute . Her research bridges theoretical machine learning with practical implementations in healthcare, quantum computing, and environmental sustainability. University of Copenhagen Department of Computer Science (DIKU) Niels Bohr Institute SCIENCE AI Centre Her research focuses include: Quantum-enhanced machine learning algorithms Explainable AI for healthcare applications Environmental sustainability in computing Emotion-aware language models Quantum computing hardware optimization Public health risk modeling Her recent publications demonstrate cross-disciplinary work in quantum machine learning (hybrid optical processors, qubit stabilization), health informatics (hypothyroidism analysis, nursing values evaluation), and ethical AI (sustainable AI, fairness in recommender systems). Technical work also appears in non-Euclidean generative models and real-time adaptive systems . Current projects include quantum dot array simulation (QDarts platform) and federated learning for personalized medicine . She contributes to the TreeSense center for remote sensing of global tree resources and works on climate-aware AI frameworks.

• Machine Learning
• Artificial Intelligence
• Quantum Computing
• +5 more

Ruben Pauwels is an Associate Professor in the Department of Dentistry and Oral Health at Aarhus University, Denmark. As the strategic research coordinator of the 'Intelligent Systems' research theme, his work focuses on integrating artificial intelligence (AI) and deep learning into clinical workflows, particularly in medical imaging, radiation protection, and dental data science. His research spans applications like image enhancement, automated segmentation, lesion detection, and risk assessment for treatment planning, with a strong emphasis on cone-beam computed tomography (CBCT) and medical physics in dentistry. His educational background includes a PhD and MSc, and he actively contributes to interdisciplinary research involving multiple departments. Teaching activities align with his expertise, covering digital workflows and novel technologies in dental practice. Key research areas include biomedical image processing, machine learning in odontology, and biophysics. He has authored 118 publications, with recent work focusing on AI-driven medical imaging solutions and radiation protection standards. Notable contributions include the European consensus on patient contact shielding and organ-specific deep learning models for radiation dose calculation. Received awards such as the Bagger-Sørensen Young Researcher Award (2024) and ECMP Best Radiation Protection Presentation (2022). Active in professional networks: EMRA, EFOMP, and ITU/WHO/WIPO initiatives on AI in healthcare. Supervised students like B. N. de Freitas and R. J. Gonçalves da Motta in projects involving digital twin technology and mandibular canal labeling.

• Artificial Intelligence
• Medical Physics
• Radiation Protection
• +4 more

Anne Zebitz Eriksen is an Assistant Professor at the Department of Health Technology, Technical University of Denmark (DTU), specializing in Cell and Drug Technologies within Tailored Materials and Tissues. Her research integrates pharmaceutical science, biomedical engineering, and ophthalmology to develop advanced drug delivery systems and nanocarriers. University: Technical University of Denmark Department: Health Technology Academic Rank: Assistant Professor Research Interests: Her work focuses on liposome engineering, membrane translocation mechanisms, ocular drug delivery, and 3D stem cell-derived organoids. She actively contributes to addressing challenges in diabetic retinopathy, viral infections (e.g., SARS-CoV-2), and intestinal bioavailability. Article Trends: Recent publications highlight her expertise in lipid-based nanocarriers, ocular pharmacokinetics, and organoid models. Key themes include peptide transport optimization, antiviral protocols, and bioprinting perfusable vasculatures for tissue engineering. Supervision & Collaboration: She supervises PhD projects on microsystems for tissue actuation and bioprinted vasculatures, collaborating with institutions like DTU Health Tech. Her research aligns with UN SDGs for health and well-being, emphasizing innovative drug delivery solutions.

• Pharmaceutical Science
• Virology
• Drug Delivery
• +3 more

Anders Peter Andersen is a researcher at the Centre for Ocean Life, part of the National Institute of Aquatic Resources at the Technical University of Denmark (DTU). He is actively involved in the DTU Microbes Initiative and conducts interdisciplinary research at the intersection of fluid dynamics and aquatic biology. His work explores fundamental questions about how microscopic organisms interact with their fluid environment. His educational background includes a PhD from the Technical University of Denmark (1999–2002) and an M.Sc. in physics and chemistry from the University of Copenhagen (1993–1999). He completed a postdoctoral fellowship at Cornell University, USA (2002–2005), and served as an Assistant Professor at DTU from 2006 to 2010. Anders Peter Andersen's research focuses on biological fluid dynamics, particularly the hydrodynamics of planktonic organisms, microbial feeding, low Reynolds number swimming, and vortex generation. His work addresses how organisms like ciliates, flagellates, and barnacles manipulate fluid flows for feeding and locomotion. He employs both theoretical modeling and experimental techniques such as Particle Image Velocimetry. The most recent publications (2022–2024) reveal a strong trend in understanding microbial feeding mechanisms, escape behaviors, and the physical principles governing microorganism-environment interactions. These studies often involve collaborations with biologists and physicists, appearing in journals like Journal of Experimental Biology and Physical Review Fluids . He has been involved in several significant research projects, including 'The physics of microbial feeding: mechanisms and trade-offs' and 'Ecology and fluid dynamics of aquatic suspension feeding,' often in collaboration with Professor Thomas Kiørboe. Supervised PhD students: F. Miano, K. Maar, S. Suzuki, M. B. Rode Key projects include fluid dynamics of flagellate foraging and barnacle feeding mechanics Active in scientific dissemination through conference lectures and workshops Anders Peter Andersen has contributed to advancing the understanding of aquatic microorganism behavior through fluid mechanical principles. His laboratory work combines experimental and theoretical approaches, and he is a key contributor to DTU’s research in ocean life and microbial dynamics.

• Biological fluid dynamics
• Hydrodynamics
• Plankton hydrodynamics
• +7 more