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Klaus MosthafView profile

Associate Professor

• Contaminant Transport in Porous Media
• Groundwater Contamination
• Numerical Modeling
• +10 more

Klaus Mosthaf is an Associate Professor in the Department of Environmental and Resource Engineering at the Technical University of Denmark (DTU), where he conducts research on contaminant transport and numerical modeling in porous and fractured media. His work focuses on protecting groundwater resources through advanced modeling of contamination from substances like PFAS, chlorinated solvents, and pesticides. He is actively involved in teaching and academic leadership, coordinating the Nordic Masters program Enviro5Tech and the Sino-Danish Center module on Pollutants and Pollution Control. Research Interests: Transport processes in porous media Groundwater contamination and remediation Numerical modeling of reactive transport Aquifer Thermal Energy Storage (ATES) Fractured and variably saturated geologies Coupled porous-medium and free-flow systems His recent publications reveal a strong focus on PFAS fate, bioremediation in ATES systems, and tracer-based characterization of glacial tills. He employs tools like COMSOL Multiphysics, Python, and FEFlow to develop predictive models grounded in laboratory and field data. Scientific Contributions: Active contributor to over 60 publications in hydrogeology and environmental engineering Key developer of models for coupled processes in subsurface systems Organizer and speaker at international conferences on multiphase flow and contaminant transport Advising and Grants: Klaus Mosthaf supervises multiple PhD students and has coordinated significant research projects, including those on PFAS transport and bioremediation. He is the main supervisor of two active PhD projects and has previously co-supervised two others. His leadership extends to board membership in the Danish Academy of Technical Sciences on Soil and Groundwater (ATV Jord og Grundvand), where he fosters collaboration among academia, consultants, and public authorities. Laboratories and Research Groups: His work is conducted within DTU Sustain, a leading research environment in environmental engineering, where he collaborates with experts in hydrogeology, bioremediation, and sustainable technologies. He is deeply integrated into a network of national and international collaborators focused on groundwater protection and sustainable subsurface utilization.

• Pharmaceutical Physical Chemistry
• Drug Characterization
• Drug Delivery Systems
• +7 more

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.

• Protein Structure and Function
• Mass Spectrometry
• Biochemical Methods Development
• +3 more

Professor Peter Højrup is affiliated with the Department of Biochemistry and Molecular Biology at the University of Southern Denmark, focusing on protein structure and function through advanced biochemical techniques such as mass spectrometry and chemical cross-linking. His research spans biomedical mass spectrometry, systems biology, and proteomics, with a particular emphasis on endoplasmic reticulum proteins like calreticulin and calnexin. Education: PhD in Molecular Biology (1986, Odense University), MSc in Molecular Biology (major) and Chemistry (minor) (1982, University of Aarhus) His research interests include: Developing methods for determining protein 3D structures and interactions via chemical cross-linking and mass spectrometry. Fast glycosylation analysis of immunoglobulins and cancer markers. De novo proteomics of fish mucus proteins. The articles highlight trends in mass spectrometry applications, structural biology, and glycosylation studies, with recent work on SARS-CoV-2 epitope mapping, therapeutic antibody characterization, and host cell protein quantitation. Supervision includes training postdocs, PhD, MSc, and BSc students, though specific student names are not provided.

Poul Henrik DamgaardView profile

Professor

• Theoretical Physics
• Particle Physics
• Quantum Field Theory
• +5 more

Poul Henrik Damgaard is a Professor of Theoretical Physics at the Niels Bohr International Academy (NBIA), affiliated with the Niels Bohr Institute (NBI) at the University of Copenhagen . He has served as NBIA Director since its founding in 2007. Research Interests: Modern amplitude computation techniques Non-perturbative studies of supersymmetric theories on spacetime lattices Classical two-body dynamics in general relativity Analytical predictions for gravitational wave emission Scientific Awards: Marie Skłodowska-Curie Grant (SAGEX project, 2020-2024) Publications (2021-2024): His work focuses on merging quantum field theory with classical gravity, particularly through post-Minkowskian expansions and amplitude methods for gravitational wave predictions. Collaborations include researchers from CERN, UCPH, and international institutions.

• Machine Learning
• Quantum Computing
• Natural Language Processing
• +3 more

William Henrich Due serves as a Lecturer at the Department of Computer Science (DIKU), University of Copenhagen, within the Machine Learning section. His work intersects with the SCIENCE AI Centre and leverages the department's high-performance compute cluster for research in quantum computing, sustainable AI, and medical applications. Research focuses span quantum machine learning (biomolecular simulations, photonic processors), sustainable AI systems (energy efficiency, climate impact), and clinical applications (EEG analysis, medical imaging). His recent publications reveal strong activity in quantum-classical hybrid systems, with 8/15 recent papers addressing quantum computing challenges. The work emphasizes practical implementations in medical imaging and resource-constrained environments. His research aligns with DIKU's Machine Learning section priorities including medical imaging biomarkers and sustainable computing. Key infrastructure includes TreeSense for remote sensing and the department's dedicated compute cluster. No scientific awards were explicitly documented in the provided materials. Due contributes to DIKU's teaching mission as a Lecturer while engaging with the SCIENCE AI Centre's interdisciplinary initiatives. His work connects with medical imaging applications and quantum computing infrastructure development. Active in the Machine Learning section's research ecosystem, his work intersects with medical imaging analysis and quantum computing applications, utilizing specialized resources like TreeSense for environmental monitoring.

Deena FrancisView profile

Assistant Professor

• Digital Twins
• Machine Learning
• Smart Manufacturing
• +3 more

Deena Francis is an Assistant Professor at the Department of Engineering Technology and Didactics within the Energy Technology and Computer Science school at the Technical University of Denmark (DTU). Her research focuses on digital twins, machine learning applications in smart manufacturing and precision livestock farming, and sensor technology for chemical detection. She leads and participates in high-impact projects such as SEAL (Seabed Environmental Analyzer for Methane Leakage) and Machine Learning for Beehives Monitoring , addressing environmental and agricultural sustainability challenges. Key research areas include reinforcement learning for digital twin systems, dimensionality reduction techniques, and data-driven decision support in agriculture. Her work bridges theoretical advancements in kernel methods and explicit feature maps with practical applications in manufacturing optimization and environmental sensing. Francis has collaborated internationally and contributed to over 15 peer-reviewed publications, with a focus on smart systems and sensor-based solutions. Education: Not explicitly stated in the text. Labs/Teams: Involved in the InnoTech TaskForce , focusing on green transition technologies and data-driven innovation. Her advisory role includes supervising PhD student S. Gopalakrishnan on metal-organic framework arrays for liquid-phase sensing. Francis’s projects often emphasize interdisciplinary collaboration, combining engineering, computer science, and environmental science to address global challenges.

Kim BrannerView profile

Researcher

• Wind Turbine Engineering
• Wind Turbine Blade
• Fatigue Testing
• +3 more

Kim Branner is a Researcher at the Department of Wind and Energy Systems, Technical University of Denmark. He leads the Structural Design and Testing section, focusing on wind turbine blade engineering, fatigue testing, and structural health monitoring. His work integrates advanced technologies like virtual sensing and drone-based inspections to improve testing efficiency and structural diagnostics. Current projects include DigiWind (2024-2027) and CASMaT (since 2017), emphasizing digital twins and composite material testing. Research spans composite material failure analysis, operational modal analysis for fatigue damage, and AI-driven blade identification systems. Supervises PhD students in structural and material testing, including Sheiati S. and Guedes Mendonca H.

Birgit Kjærside StormView profile

Part-Time Lecturer

• Polymer Chemistry
• Surface Treatment of Materials
• Adhesive Bonding
• +7 more

Birgit Kjærside Storm is a Part-time Lecturer at AAU Energy within the Faculty of Engineering and Science at Aalborg University, Denmark. She is affiliated with the Energy Section in Esbjerg and contributes to applied research in materials science and sustainability. Institution: Aalborg University School: Faculty of Engineering and Science Department: Energy Section Position: Part-time Lecturer Email: bks@energy.aau.dk Her research focuses on polymer chemistry, surface treatment of materials, adhesive bonding, composite wear, and the environmental impact of plastics. She has worked extensively on coatings for wind turbine blades, recyclability of plastic materials, and analytical methods for polymer additives. Her interdisciplinary work bridges industrial manufacturing and environmental sustainability. Storm's publications from 2001 to 2017 reflect a consistent focus on practical materials engineering challenges. Key themes include life cycle assessment of plastic recyclates, durability of composite materials, surface treatments for improved adhesion, and environmental evaluation of polymer products. Her work often involves collaboration with industry, particularly in renewable energy and manufacturing sectors. She has contributed to 32 press and media appearances from 2019 to 2022, discussing topics such as plastic recycling, consumer responsibility, and sustainable material use, demonstrating strong public engagement. Overfladebehandling før limning (2011–2012) Udvikling af forbedrede overfladebelægninger til vindmøllevinger (2010–2012) Termoplastiske kompositter (2009–2010) Analysemetoder for additiver i polymere (2009–2011) Limning af aluminium (2009–2012) While no formal advising or grant leadership is documented, her project participation indicates collaborative research in applied materials science. She has not received any explicitly listed scientific awards. Storm is active in public discourse on plastic sustainability and continues to contribute to research and outreach as of 2022.

Mathias Porsmose ClausenView profile

Associate Professor

• Bioimaging
• Gastrophysics
• Sustainable Food Innovation
• +3 more

Mathias Porsmose Clausen is an Associate Professor at the Department of Green Technology, Faculty of Engineering, University of Southern Denmark. His research focuses on bioimaging and gastrophysics to advance sustainable, healthy, and flavorful food innovations. With expertise in molecular biophysics and advanced microscopy from institutions like the Max Planck Institute and University of Oxford, he investigates food microstructure to understand culinary transformations and functional properties. Current affiliations: SDU Food Cluster, SDU Biotechnology, SDU Climate Cluster Research areas: Quantitative optical microscopy for food analysis, membrane dynamics in food systems, sustainable food ingredient development His recent publications highlight applications of machine learning in food imaging, plant-based meat analogs, and ethical food innovations like force-feeding-free foie gras. Clausen actively contributes to EU-funded projects (FLAVOURFERM, FOODIMAR) and serves as a science communicator through media appearances and public engagement initiatives. Scientific Awards SCC Fast Track Prize (2025) Villum Grant - Villum Synergy (2023) Clausen supervises food science projects and teaches courses on biotechnological processes and food modeling. He serves as grant reviewer for Plant2Food and advisory board member for Food Innovation House.

• Sensory Science
• Food Analytics
• Consumer Research
• +3 more

Tormod Næs serves as an Adjunct Professor in the Department of Food Science at the University of Copenhagen, specializing in Food Analytics and Biotechnology. His dual institutional affiliation includes Nofima (Norwegian research institute), as evidenced by his professional email address. His research bridges statistical methodology with practical food science applications. His primary research interests focus on sensory science methodology , consumer behavior analysis , and multivariate statistics for food data . He pioneers techniques for interpreting complex datasets including temporal check-all-that-apply (TCATA) responses, L-shaped sensory-consumer matrices, and seafood storage stability metrics. His work emphasizes component-based methods like PCA and PLS to extract meaningful patterns from noisy food-related data. Analysis of his recent publications (2021-2025) reveals three dominant research thrusts: (1) Advanced statistical frameworks for sensory data integration, (2) Consumer segmentation based on product discrimination capabilities, and (3) Sustainable food systems research examining upcycled foods and labeling impacts. His methodological innovations consistently target real-world food industry challenges in quality assessment and product development.

• Glycomics
• Heparan Sulfate Research
• Glycosaminoglycan-Protein Interactions
• +5 more

Jeremy Ewan Turnbull is a Professor in the Department of Cellular and Molecular Medicine at the University of Copenhagen, where he leads research in the Glycomics Program. His work focuses on the structure and function of glycosaminoglycans, particularly heparan sulfate, and their roles in various biological processes including immune response and viral infection. Professor Turnbull's research spans glycomics, structural biology, and virology with particular emphasis on heparan sulfate-protein interactions. His work investigates how these complex carbohydrates interact with chemokines, growth factors, and viral proteins including SARS-CoV-2. He has made significant contributions to understanding the molecular mechanisms by which glycosaminoglycans influence immune cell recruitment, tissue repair, and viral pathogenesis. His interdisciplinary approach combines biochemical, structural, and virological techniques to elucidate fundamental biological processes with therapeutic implications. Analysis of Professor Turnbull's recent publications (2020-2023) reveals a strong focus on the intersection of glycobiology and virology, particularly regarding SARS-CoV-2. His research has demonstrated how heparan sulfate serves as an attachment point for the virus and how compounds like heparin and synthetic mimetics can block infection. His work spans structural analysis of carbohydrate-protein interactions, antiviral drug development, and fundamental glycobiology, with publications appearing in high-impact journals including Cell Reports , ACS Central Science , and Science Advances . Professor Turnbull maintains an active research program with substantial collaborative networks, as evidenced by his extensive co-authorship across multiple institutions. His work has attracted significant attention in the scientific community, with numerous citations and media coverage across multiple news outlets and social media platforms. The practical implications of his research for developing antiviral therapeutics are reflected in patent references and real-world applications. Based at the University of Copenhagen's facilities at Blegdamsvej 3 in Copenhagen, Professor Turnbull leads a research group within the Glycomics Program that utilizes advanced biochemical and structural techniques. His laboratory appears well-integrated into the international scientific community, with collaborations spanning multiple countries and disciplines, contributing to both fundamental understanding of glycosaminoglycan biology and potential clinical applications.

• Quantum Information Science
• Quantum Systems
• Mathematical Physics
• +3 more

Johannes Agerskov is a Postdoctoral Researcher at the Niels Bohr Institute , University of Copenhagen, specializing in Quantum Information Science & Technology . His work focuses on one-dimensional quantum systems and ground state energy calculations. Education: MSc in Quantum Physics (2019) and BSc in Physics (2017), both from the Niels Bohr Institute. Research interests include quantum many-body systems, Bose gases, Fermi gases, and mathematical physics. Recent publications highlight advancements in quantum determinant estimation and ground state energy analysis for dilute Bose gases in 1D. Collaborations span theoretical and computational quantum physics, with affiliations to the QMATH (Quantum Mathematics) and QA (Quantum Applications) work areas. No scientific awards are explicitly mentioned.

Rosario N. MantegnaView profile

Professor

• Econophysics
• Complex Networks
• Statistical Physics
• +7 more

Rosario N. Mantegna is a Professor at the University of Palermo and holds visiting positions at Central European University and honorary status at University College London. Since 2017, he has been a member of the External Faculty at the Complexity Science Hub Vienna, reflecting his active engagement in interdisciplinary research on complex systems. His research lies at the intersection of statistical physics and economics, where he is recognized as one of the pioneers of econophysics and economic networks . His work explores financial markets through the lens of complex networks, high-frequency trading, information transfer, and data-driven modeling. He has led and participated in numerous international and national research projects, contributing foundational insights into market structure and dynamics. The recent publications (2017–2023) highlight a strong focus on network analysis in finance , clustering techniques , information theory applications , and fintech evolution . These works span disciplines including physics, finance, computer science, and data analytics, demonstrating a consistent interdisciplinary approach. Key themes include validation of network structures, trader clustering, and systemic risk assessment. His scientific contributions are recognized through editorial roles in major conference proceedings and collaborations with leading researchers in complexity science. While no formal awards are listed, his sustained publication record in high-impact journals and books underscores his influence in the field. Rosario Mantegna advises students and researchers through his leadership in research projects and academic supervision, though specific advisees are not named. He has been involved in significant research grants and collaborative initiatives across Europe, particularly in complexity science and financial network analysis. His work is closely tied to interdisciplinary research groups and networks, including those at the Complexity Science Hub Vienna and Central European University, where he contributes to advancing the science of complex systems.

• Applied Probability
• Insurance Mathematics
• Statistics
• +3 more

Martin Rainer Bladt is an Associate Professor at the Department of Mathematical Sciences, University of Copenhagen, focusing on Applied Probability and Insurance Mathematics. He works on statistical and stochastic modeling, particularly in Markov processes and risk theory. Research trends include Markov jump processes, phase-type distributions, survival analysis, and applications in insurance and financial risk modeling. His recent publications emphasize methodological developments in actuarial science, extreme value theory, and homogeneous approximation techniques for inhomogeneous processes.

• Machine Learning
• Tensor Decomposition
• Chemometrics
• +3 more

Jesper Løve Hinrich serves as a Guest Researcher in the Design and Consumer Behavior section at the University of Copenhagen's Department of Food Science, focusing on advanced computational methodologies for complex data analysis. His research spans interdisciplinary domains including: Machine Learning for predictive modeling Tensor Decomposition techniques for multiway data Chemometrics applications in spectroscopy Health Informatics for clinical decision support Signal Processing of time-resolved measurements Data Science for multi-modal integration Analysis of his 2019-2024 publications reveals a cohesive research trajectory centered on probabilistic tensor frameworks. His work progresses from foundational tensor train decomposition (2019) to sophisticated coupled decompositions handling data drift (2023) and higher-order arrays (2024), while bridging theoretical advances with practical implementations in fluorescence spectroscopy and obstetric care analytics. This demonstrates consistent innovation in mathematical frameworks for real-world data challenges across scientific domains.