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
Joe Alexandersen is an Associate Professor in the Department of Mechanical Engineering at the University of Southern Denmark (SDU), affiliated with the Institute of Mechanical and Electrical Engineering. His research spans structural optimization, heat transfer, fluid dynamics, and high-performance computing, with applications in heat sink design, microfluidic devices, and additive manufacturing. Research Interests Topology and shape optimization Conjugate heat transfer Navier-Stokes flow modeling Finite element methods High-performance computing Scientific Awards 2022 Fluids 2020 Best Paper Award 2017 DTU Young Researcher Award 2015 ISSMO/Springer Prize for Young Scientist Key Projects HiHeaT: Topology optimization for high heat flux components (2024–2027) Structural Analysis of Large Modular Vessels (2025–2027)
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.
Erik Damgaard Christensen is a Professor and Head of Section in Fluid Mechanics, Coastal and Maritime Engineering at the Department of Civil and Mechanical Engineering, Technical University of Denmark (DTU). His research is central to coastal and offshore hydrodynamics, with strong expertise in breaking waves, wave-structure interactions, and offshore wind turbine foundations. His research interests include Fluid Mechanics , Coastal and Maritime Engineering , Computational Fluid Dynamics (CFD) , Sediment Transport , Shoreline Development , and Wave Loads on Offshore Structures . His work applies advanced numerical modeling and experimental analysis to solve real-world coastal engineering challenges. The recent publications indicate a strong trend towards sustainable offshore energy systems, environmental protection (e.g., microplastic retention), and innovative coastal defenses such as artificial reefs. His work integrates high-fidelity simulations with practical applications in offshore wind and marine ecosystems. Scientific Contributions and Projects: Coordinator of EU 7th Framework Project MERMAID Involved in major projects: SASME, DELOS, Safe Offload, SBWI, SDWED, FIELD_AC, FMK, MSBWI Active in research on turbulence in plunging breakers and flow in porous marine structures He has supervised several PhD students, including Y. Zhai, K. D. Göral, and Z. Wei, and is actively involved in advising and collaborative research. His external roles include former Head of Innovation at DHI (2007–2010) and prior positions as Hydrodynamics Specialist and Coastal Engineer at DHI from 1996 to 2010. His laboratory and research team focus on computational and experimental hydrodynamics, with strong links to DTU’s coastal engineering facilities and international collaborations in offshore and coastal research.
Anders Henry Nielsen is a Senior Scientist in the Department of Physics at the Technical University of Denmark (DTU), specializing in Plasma Physics and Fusion Energy. He is based at DTU’s Fysikvej campus in Kgs. Lyngby, Denmark, and maintains an active research profile with over 350 publications. His work is central to advancing understanding in magnetic confinement fusion, particularly through computational modeling and experimental collaboration with major tokamak facilities worldwide. His research interests lie at the intersection of plasma turbulence, edge physics, and fusion energy. He investigates phenomena such as zonal flows, coherent structures, and transport scaling in tokamak plasmas. His work often involves developing and applying advanced numerical models, including coupling Monte Carlo methods with 2D fluid models like HESEL, to simulate neutral particle behavior and turbulence in the plasma edge. He has contributed to major experimental campaigns on devices such as TCV, ASDEX Upgrade, and EAST, focusing on heating, fueling, and stability. His recent publications highlight trends in computational plasma physics, parametric instabilities, and cross-field transport. These works span disciplines including plasma turbulence, magnetic confinement, and fusion reactor engineering, with subfields like Monte Carlo simulations, electron cyclotron resonance heating, and synthetic diagnostics. His research consistently addresses key challenges for ITER and DEMO, such as power threshold scaling and heat flux management. Anders Henry Nielsen has supervised multiple PhD students, including R. Gerru Miguelañez, G. Avdeeva, J. M. B. Olsen, and J. Madsen, on projects related to zonal flow dynamics, neutral injection, and turbulence modeling. He has received research funding from various sources, including national and international fusion programs, and has been involved in projects funded by research councils and institutional grants. He is affiliated with the Plasma Physics and Fusion Energy section at DTU, where he collaborates closely with leading researchers such as V. Naulin, J. J. Rasmussen, and S. Kragh Nielsen. His team contributes to both theoretical and experimental aspects of fusion science, participating in international collaborations and presenting findings at major conferences. He has organized academic events, such as the Ninth Sino-Danish Autumn School on Fusion Plasma Physics and Technology.
Professor Eigil Kaas is affiliated with the Niels Bohr Institute at the University of Copenhagen . His work spans climate dynamics , numerical weather prediction (NWP) , and atmospheric modeling . As former Section Head of Climate and Computational Geophysics , he leads research on climate-chemistry coupling and sea ice impacts. Education : MSc (1987) and PhD (1993) in Meteorology from University of Copenhagen Research Focus : Climate dynamics and physics Numerical methods in atmospheric models Machine learning for weather prediction Arctic sea ice-climate interactions Thunderstorm electricity and radiation Coupled atmosphere-ocean modeling Article Trends : Recent work combines neural networks with radiative transfer optimization Focus on storm dynamics and gamma-ray flashes Extreme precipitation modeling under climate change Pioneering tidal flow studies in Faroe Island fjords Teaching Legacy : Instructor of Atmospheric Physics and Dynamical Meteorology courses Developed zonally averaged climate model for educational use Mentored 12 PhD/MSc students with DMI/ECMWF collaborations Professional Roles : Chairman of BFI Group 28 (Geosciences & Climate) Scientific Advisory Committee member at ECMWF Project lead in EU ENSEMBLES and PEGASOS initiatives
Jesper Møller is a Professor in the Department of Mathematical Sciences at Aalborg University's Faculty of Engineering and Science, specializing in Statistics and Mathematical Economics. His research focuses on advanced statistical methodologies with applications across various scientific domains. His educational background includes extensive training in mathematical sciences, though specific degree details aren't provided in the current materials. His research interests span: Applied probability theory Markov chain Monte Carlo methods (MCMC) Spatial statistics Stochastic geometry Stochastic simulation Point process modeling Professor Møller's recent publication record shows consistent productivity with 239 research outputs including journal articles, reports, and book chapters. His work demonstrates strong focus on spatial point processes, Bayesian inference methods, and applications of stochastic geometry. The research trends indicate increasing sophistication in modeling complex spatial patterns and developing computational methods for statistical inference. His scientific contributions have been supported by numerous research projects, with 28 projects documented including the current "Peculiar Distribution Functions and Interesting Stochastic Processes" (2022-2026). His work has generated significant scholarly impact with citations across multiple disciplines. Professor Møller has supervised 8 PhD students and maintains active collaborations across international research networks. His current projects suggest continued research activity in developing novel statistical methodologies for complex spatial data analysis with applications in materials science, neuroscience, and environmental statistics.
Henning Tangen Søgaard is an Associate Professor at the Department of Mechanical and Production Engineering, part of AU Engineering at Aarhus University. He teaches mathematics, numerical methods, and mathematical statistics to BEng students. His research focuses on robotics in agriculture , dynamic modeling , and precision agriculture . Primary Affiliation: Department of Mechanical and Production Engineering, AU Engineering, Aarhus University Research Expertise: Computer vision, control systems for agricultural robotics, environmental modeling (ammonia emissions, spray drift), and wireless sensor networks. His work includes developing autonomous systems for weed control, GPS-based geo-referencing of crops, and mathematical models for fertilizer-related emissions. Publications span peer-reviewed journals and reports in agricultural engineering , robotics , and environmental science . Scientific awards are not mentioned in the provided text. He has no listed PhD students but has collaborated on multiple projects. For direct contact, his email is hts@mpe.au.dk .
Niels Aage is an Associate Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). His research focuses on topology optimization, biomechanics, and multiphysics modeling, with applications in acoustic devices, biomedical implants, and microelectromechanical systems (MEMS). He holds roles such as Vice President of the International Society for Structural and Multidisciplinary Optimization (2023–2027). Education and Professional Background: Conducted a 5-month research visit at the University of Colorado, Boulder (USA) in 2010. Specializes in giga-scale numerical modeling, finite element methods, and topology optimization algorithms. Research Interests: Develops novel methods for topology optimization of fluidic, thermal, and acoustic systems. Explores applications in patient-specific spinal implants, metamaterials with vibroacoustic bandgaps, and nonlinear dynamic substructuring. His work integrates machine learning and reduced-order modeling for efficient simulation. Publications: Over 100 peer-reviewed articles, including recent contributions on connectivity promotion in topology optimization (2025), vibroacoustic metamaterial design (2025), and anatomically conforming spinal fusion cages (2024). Research emphasizes high-resolution modeling and bridging computational design with additive manufacturing. Scientific Awards: ISSMO Haftka Young Investigator Award (2021), Equinor Prize 2020, and Hyperion Innovation Excellence Award (2017). Recognized for contributions to structural optimization and computational mechanics. Advising and Grants: Supervises multiple PhD projects, including work on vibroacoustic shape optimization, quantum-opto-mechanical systems, and smart hearing aid modeling. Engages in collaborative projects funded by industry and academia. Labs/Teams: Collaborates with DTU’s Solid Mechanics group and industry partners on projects involving topology optimization, multiphysics simulation, and biomedical engineering. Active in international conferences and serves on editorial boards.
Allan Peter Engsig-Karup is Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark. His research develops high-order numerical methods for wave modeling, coastal engineering, and computational fluid dynamics. He specializes in spectral element methods, GPU computing, and uncertainty quantification techniques. Recent work advances numerical solvers for incompressible Navier-Stokes equations with free surfaces, hybrid-spectral models for nonlinear waves, and unfitted mesh techniques. His group develops efficient algorithms for large-scale simulations of water wave interactions with offshore structures.
Henrik Bruus is a Professor and Section Head in the Department of Physics at the Technical University of Denmark (DTU). He leads the Section of Biophysics and Fluids and the Theoretical Microfluidics Group, focusing on theoretical modeling in microfluidics, acoustofluidics, and nanofluidics. His academic journey began at the Niels Bohr Institute, University of Copenhagen, where he earned his B.Sc., M.Sc., and Ph.D. in physics. He has held research and faculty positions at NORDITA, Yale University, CNRS-CRTBT, and DTU, transitioning from DTU Nanotech to DTU Physics in 2012. He has held visiting professorships at Harvard, MIT, Princeton, and several French institutions. B.Sc. in Mathematics and Physics, University of Copenhagen (1984) M.Sc. in Physics, University of Copenhagen (1986) Ph.D. in Physics, University of Copenhagen (1990) Henrik Bruus's research lies at the intersection of theoretical physics and engineering, with a strong emphasis on microfluidics, acoustofluidics, and biophysics . His work explores acoustic radiation forces, electrokinetics, streaming, and particle manipulation in microsystems. He is renowned for his Acoustofluidics tutorial series published in Lab on a Chip. His research contributes to UN Sustainable Development Goals in energy and innovation. He has published over 248 works, including in Physical Review , Lab on a Chip , and Science Advances . The recent publications highlight a consistent focus on acoustofluidic phenomena , particularly the modeling and control of acoustic streaming, radiation forces, and thermoviscous effects in microchannels. His work bridges theoretical analysis with experimental validation, often involving collaborations across disciplines. Key themes include ultrasound manipulation of particles and cells, optimization of microreactors, and development of novel acoustofluidic devices using thin-film transducers. Scientific Awards: DTU Teacher of the Year (2013) Elected Fellow of the American Physical Society (since 2011) Henrik Bruus actively supervises Ph.D. students and leads multiple research projects in biophysics and microfluidics. He has been the main supervisor or co-supervisor on projects related to plant biophysics, micro- and nanochannel flows, and electroacoustic actuation. His international collaborations span across Europe and the U.S., and he has delivered numerous conference presentations, including at APS meetings and specialized workshops. He is a central figure in the global acoustofluidics research community. He leads the Theoretical Microfluidics Group at DTU Physics, which focuses on computational and analytical modeling of fluid behavior at micro- and nanoscales. The group collaborates closely with experimental teams to develop and validate theoretical frameworks for lab-on-a-chip systems. Their work supports applications in biomedical diagnostics, cell sorting, and material science.
Muhammad Usman Hanif is an Assistant Professor at the Department of Technology and Innovation within the Faculty of Engineering at the University of Southern Denmark (SDU). His research focuses on structural health monitoring , concrete durability , and damage assessment in civil engineering systems. Research Highlights Advanced signal processing for bridge damage detection Acoustic Emission techniques in CFRP-concrete debonding Machine learning applications in concrete durability prediction Augmented Reality integration with bridge monitoring systems Recent Publications (2023-2025) 2025: Machine learning in concrete durability 2024: Novel ΔT mapping for debonding detection 2023: FBG sensors in CFRP retrofitted beams 2022: MEMS accelerometers for damage assessment Teaching Activities Finite Element Method (2025) Non-linear Finite Element Method (2025) Advanced Finite Element Analysis (2024)
Martin Elsman is a full-time Professor in the Programming Languages and Theory of Computation section at the Department of Computer Science, University of Copenhagen (DIKU). He serves as head of the PLTC section and head of studies for the BSc education in Computer Science and Economics. Elsman is also an active maintainer of several software tools including the MLKit and SMLtoJs. Joined DIKU in 2012 after 4 years at SimCorp (2008-2012) and previous Associate Professorship at IT University of Copenhagen (2003-2008). Co-developer of Futhark, TAIL APL compiler, SMLtoJs, and SMLserver. Education: M.Sc. in Engineering, Technical University of Denmark Ph.D. in Computer Science, University of Copenhagen (DIKU), supervised by Mads Tofte. Research Interests: Elsman works on programming language design and implementation, with a focus on functional programming, module systems, domain-specific languages for financial contracts, region-based memory management, compilation techniques for parallelism, program optimization, and static type systems. His work spans both theoretical and applied domains, including blockchain-based financial contract execution, web technology, and GPU programming using functional languages. Publication Trends: His recent articles focus on functional programming, array programming, parallelism, and memory management. Topics include region inference, type systems for data-parallelism, program optimization techniques, and domain-specific compilation for financial and quantum computing. He frequently collaborates with Troels Henriksen and others on tools like Futhark and MLKit.
Dr. Daniel Malz is an Assistant Professor at the Department of Mathematical Sciences, University of Copenhagen. His research focuses on quantum many-body systems, quantum optics, and quantum computing, with affiliations to research groups QA, QMATH, and QfL. His work bridges theoretical physics and mathematical modeling, addressing topics like superradiance, entanglement dynamics, and quantum state preparation. Key research interests include quantum information theory, non-Markovian dynamics, and the development of efficient quantum simulation techniques. His recent publications explore advanced topics such as photonic cluster states, tensor network simulations, and cross-platform quantum network verification. Much of his work addresses foundational questions in quantum mechanics while maintaining practical relevance for quantum technologies. His contributions span both theoretical derivations and numerical methods, with a focus on bridging classical and quantum many-body dynamics.
Anders Schmidt Kristensen is an Associate Professor at Aalborg University's Faculty of Engineering and Science, affiliated with the Esbjerg Energy Section and the Danish Centre for Risk and Safety Management. His work spans mechanical engineering, computational mechanics, and risk analysis, with a focus on structural design optimization and safety systems. Specializes in CAD-integrated structural modeling and finite element method (FEM) simulations Active in offshore energy and space debris mitigation research Key technologies: drag sail systems for satellite deorbiting, wind turbine power quality control, and tube-tubesheet joint modeling Recent research trends include: Structural health monitoring under thermal stress Optimized evacuation protocols for sports venues Advanced numerical modeling techniques for industrial components
