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Niels AageView profile

Associate Professor

• Topology Optimization
• Acoustics and Vibroacoustics
• Biomechanics
• +5 more

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-KarupView profile

Associate Professor

• Wave Modeling
• Computational Fluid Dynamics
• High-Performance Computing
• +2 more

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.

Battulga MunkhbatView profile

Associate Professor

• Quantum Photonics
• Quantum Light Sources
• Two-Dimensional Materials
• +7 more

Battulga Munkhbat is an Associate Professor in the Department of Electrical and Photonics Engineering at the Technical University of Denmark (DTU), where he conducts cutting-edge research in quantum photonics and nanomaterials. His work focuses on developing quantum light sources using two-dimensional materials, particularly transition metal dichalcogenides such as WSe₂, for applications in optical quantum information technology. His research interests lie at the intersection of quantum optics, materials science, and nanophotonics. Key areas include: Quantum emitters in 2D materials Single-photon sources for quantum communication Strain and defect engineering in monolayer and bilayer systems Integration of quantum emitters with photonic devices Nanoengineering of TMD-based photonic platforms The recent trend in his publications highlights a strong focus on high-purity single-photon emission from bilayer and monolayer WSe₂, utilizing phonon-assisted excitation and strain control. His work often involves collaboration with experts in nanofabrication and theoretical modeling, aiming to enhance the performance and scalability of quantum photonic devices for future quantum networks. He is actively supervising multiple PhD students and leading projects that bridge fundamental physics with practical quantum technologies. His research is supported by active grants in quantum photonics and nanomaterial engineering, particularly in projects related to: Quantum Dot Emitters Integrated with SiN Devices for Remote Quantum Computing Nanoengineered 2D TMDs-based Photonic Devices for Optical Quantum Information Technology Quantum Light Sources for Optical Quantum Information Processing Dr. Munkhbat is part of a vibrant research lab at DTU that specializes in quantum light source development, working closely with Prof. Niels Gregersen and other collaborators in the field of integrated quantum photonics.

Martin Skovgaard AndersenView profile

Associate Professor

• Optimization
• Signal Processing
• Machine Learning
• +12 more

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

Martin ElsmanView profile

Professor

• Programming Languages
• Theory of Computation
• Functional Programming
• +5 more

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.

Juan Maria García LastraView profile

Professor

• Lithium-ion batteries
• Energy Storage Materials
• Density Functional Theory (DFT)
• +5 more

Juan Maria García Lastra is a Professor and Head of the Atomic Scale Materials Modelling group in the Department of Energy Conversion and Storage at the Technical University of Denmark (DTU). His research focuses on theoretical studies of solid-state and molecular materials using advanced computational methodologies such as Density Functional Theory (DFT), Many-Body Perturbation Theory (MBPT), and Non-Equilibrium Green’s Functions (NEGF). Education: Ph.D. from the University of Cantabria (Spain), specializing in DFT developments. Postdoctoral research focused on energy-related materials including photovoltaic systems and battery technologies. Research interests include: Lithium-ion batteries, metal-air batteries, organic photovoltaics, heterogeneous catalysis, and electronic/thermal transport in nanomaterials like carbon nanotubes and graphene. His work contributes to UN Sustainable Development Goals through energy storage and conversion advancements. He supervises multiple PhD projects on topics like battery recycling strategies, computational design of energy materials, and machine learning applications in materials science. Collaborations span global institutions, with recent activities in sodium metal batteries, magnesium-sulfur battery electrolytes, and electrode design optimization. Labs/Groups: Leads the Atomic Scale Materials Modelling group at DTU Energy, focusing on computational methods for energy materials discovery and characterization.

Fan ZhouView profile

Researcher

• Fuel Cell Technology
• Hydrogen and Electro-fuels
• Thermal Engineering
• +3 more

Fan Zhou is a Researcher at Aalborg University's Department of Thermal Engineering within the Faculty of Engineering and Science, specializing in hydrogen and electro-fuels. His work focuses on high-temperature proton exchange membrane (HT-PEM) fuel cells and solid oxide electrolysis systems, with applications in power-to-X and micro combined heat and power (micro-CHP) solutions. He holds a PhD awarded in February 2016 and maintains an active research profile with 27 documented publications. His research interests center on Fuel Cell Technology , Hydrogen and Electro-fuels , and Thermal Engineering , with specific expertise in performance degradation mechanisms, fault diagnosis using electrochemical impedance spectroscopy (EIS) and machine learning, thermal management, and dynamic operation of energy conversion systems. Current investigations address real-time monitoring challenges in residential microgrids and power-to-X applications, examining how operational parameters like temperature, pressure, and gas composition affect system efficiency and durability. Analysis of his 15 most recent publications (2021-2025) reveals a strong emphasis on data-driven approaches for fault detection in fuel cells, dynamic operation effects on electrolysis cells, and integration of clean energy systems. Key trends include the application of convolutional neural networks for online diagnostics, investigation of AC/DC frequency effects in solid oxide electrolysis, and development of control systems for micro-CHP applications using HT-PEM fuel cells. Dr. Zhou currently participates in two major research projects: Robust And Dynamic Electrolysis for Power-to-X (2024-2027), focusing on advanced electrolysis technologies for power-to-X applications, and FC-COGEN (2023-2025), developing micro combined heat and power systems. Both projects are funded by the Energy Technology Development and Demonstration Program (EUDP) and involve collaboration with industry partners and researchers including Søren H. Jensen and Simon L. Sahlin from AAU's Power Electronics and Drives group.

Lisbet TarpView profile

Associate Professor

• Digital Art History
• Materiality in Art
• Painting
• +7 more

Lisbet Tarp is an Associate Professor in Art History at the School of Communication and Culture, Aarhus University. Her academic work bridges traditional art historical scholarship with digital methodologies and interdisciplinary research, particularly in the fields of painting, materiality, and conservation. She is actively engaged in several high-impact research projects exploring the intersections of art, science, and technology. Research Interests: Digital Art History and computational analysis of paintings Materiality and technique in historical and contemporary painting Conservation science and hidden layers in artworks Mathematics and geometry in visual art Early modern court culture and ceremonial representation Interdisciplinary practices between art and anatomy Her recent publications reflect a strong trend toward integrating digital tools into art historical inquiry, with a focus on uncovering the material and technical dimensions of paintings. Projects such as Digital Art History: Rediscovering the Painting and ANAT: Anatomical Theater demonstrate her innovative approach to visual culture through scientific and digital lenses. Her work often involves collaborative, peer-reviewed publications and digital dissemination. Scientific Projects & Activities: ANAT: Anatomical Theater (2023–2029) – Investigating dissection as aesthetic practice in early modern and contemporary contexts Digital Art History: Rediscovering the Painting (2019–2022) – Using digital methods to analyze painting techniques and material composition MoCMa: Mobility Creates Masters (2017–2019) – Studying transnational influences in European art LUMEN Center (2015–2025) – Researching Lutheran theology and its impact on confessional societies and visual culture Lisbet Tarp has contributed extensively to academic discourse through peer-reviewed journals, anthologies, and digital publications. While no formal students or awards are listed, her leadership in major research initiatives underscores her scholarly influence. She employs digital platforms for both research and pedagogy, including student-organized seminars and open-access digital versions of her work.

Sonia CorianiView profile

Professor

• Quantum Chemistry
• Computational Spectroscopy
• Molecular Properties
• +7 more

Sonia Coriani is a Professor in Physical Chemistry at DTU Chemistry, Technical University of Denmark, since 2017. She leads a research group focused on theoretical chemistry and computational spectroscopy. Her academic journey includes a PhD from Aarhus University (2000), a permanent research scientist position at the University of Trieste (1999-2014), and associate professorship there since 2014. She held an adjunct associate professor position at the Centre for Theoretical and Computational Chemistry in Oslo (2007-2011) and was a Marie Curie IEF fellow (2010-2012) and AIAS-COFUND senior fellow (2015-2016). Education: Chemistry, University of Modena (1993) PhD in Theoretical Chemistry, Aarhus University (2000) Her research centers on developing quantum-chemical methodologies for static and dynamic molecular properties, particularly for systems with high dimensionality, complex environments, or novel spectroscopic phenomena. Key areas include non-linear optical experiments, magnetic circular dichroism, X-ray spectroscopies, and quantum computing applications in chemistry. Her recent publications highlight advancements in quantum linear response theory, polarizable embedding environments, X-ray absorption in water, and quantum algorithms for molecular properties. Collaborative work spans interdisciplinary projects with experimentalists, covering gas-phase molecules to biomolecular systems. Scientific Awards: Marie Curie IEF fellowship AIAS-COFUND senior fellowship Her work addresses challenges in ultrafast dynamics, photoionization, and the intersection of chemistry with physics and computational science, emphasizing accuracy and novel experimental guidance.

Ginés Carreto PicónView profile

Research Fellow

• Machine Learning
• Signal Processing
• Artificial Intelligence of Things
• +3 more

Ginés Carreto Picón serves as a Research Fellow within the Department of Electrical and Computer Engineering at Aarhus University, Denmark, specializing in the Signal Processing and Machine Learning research group. His work focuses on developing computationally efficient AI solutions for resource-constrained environments. His research expertise spans machine learning, signal processing, and artificial intelligence of things (AIoT), with emphasis on creating high-performance sequence processing models through continual learning frameworks, dimensionality reduction, and low-rank approximation techniques. These approaches significantly reduce energy consumption while maintaining model accuracy for edge deployment. His publication on visual fingerprinting for sequential data demonstrates his focus on interpretable pattern recognition methods. Current work centers on the 2024-2027 PhD project developing lightweight AI architectures specifically optimized for IoT devices, aiming to expand feasible AI applications in constrained computational environments. He actively contributes to the Signal Processing and Machine Learning laboratory's research ecosystem, advancing methodologies for practical implementation of efficient AI systems in real-world edge computing scenarios.

Jan RossmeislView profile

Professor

• Catalysis
• Green Chemistry
• Energy Conversion
• +4 more

Jan Rossmeisl is a Professor in the Department of Chemistry at the University of Copenhagen, Denmark, conducting research at the intersection of catalysis, sustainable energy, and electrochemical processes. His work focuses on developing advanced materials for energy conversion applications including fuel cells and carbon dioxide reduction technologies. His research interests span catalysis , green chemistry , and energy conversion , with specific expertise in electrocatalytic reaction mechanisms, high-entropy alloy design, and sustainable pathways for chemical synthesis. Current investigations emphasize computational modeling of surface reactions and experimental validation of novel catalyst systems for renewable energy applications. Analysis of his 2024-2025 publications reveals a dominant focus on electrocatalytic $$\text{CO}_2$$ conversion and oxygen reduction processes. Key trends include the development of high-entropy alloys for catalytic coupling reactions, strain engineering in binary alloys, and non-aqueous electrolyte effects on $$\text{CO}_2$$ reduction. His work bridges theoretical computation with experimental validation to address challenges in sustainable energy conversion and chemical production.

Anja Verena MudringView profile

Professor

• Inorganic Chemistry
• Materials Chemistry
• Solid-State Chemistry
• +7 more

Anja Verena Mudring is a Professor in the Department of Biological and Chemical Engineering at Aarhus University, Denmark, under the AU Engineering school. Her research focuses on advanced inorganic and materials chemistry, with a strong emphasis on sustainable and functional materials. She leads major research projects including the Villum Investigator, AUFF Starting Grant, and Novo Nordisk RECRUIT grants, indicating her leadership and active status in the academic community. Her research interests span Inorganic Chemistry , Materials Chemistry , Solid-State Chemistry , Crystal Engineering , and Green Chemistry . She investigates novel intermetallic compounds, rare-earth materials, ionic liquids, and luminescent nanocrystals, aiming to develop sustainable and high-performance materials. Her work integrates synthesis, structural analysis, and property optimization. Her recent publications in top journals such as Journal of the American Chemical Society , Chemistry of Materials , and Green Chemistry reflect a strong trend toward environmentally responsible materials design, crystal structure prediction, and functional inorganic systems. Themes include geometric frustration in magnetism, luminescence control, and green solvent development. Scientific recognition includes the prestigious Villum Investigator award. Other major grants include: Villum Investigator (2022–2027) AUFF Starting Grant (2021–2024) Novo Nordisk RECRUIT (2021–2028) She advises students and researchers through her funded projects and is actively involved in graduate training and research supervision. Her lab focuses on the synthesis and characterization of novel inorganic materials, particularly those with potential in energy, sustainability, and advanced technologies.

Jens Juul RasmussenView profile

Professor

• Plasma Physics
• Non-linear dynamics
• Fluid Dynamics
• +7 more

Jens Juul Rasmussen is a Professor in the Department of Physics at the Technical University of Denmark (DTU), where he conducts research in plasma physics, nonlinear dynamics, and fluid dynamics. His work is central to understanding turbulence, coherent structures, and transport in magnetically confined fusion plasmas. He is actively involved in international collaborations such as JET and ASDEX Upgrade, contributing to key advancements in fusion energy science. Department of Physics, DTU Research in Plasma and Nonlinear Physics Supervisor of multiple PhD projects Active contributor to EU fusion programs His research interests span plasma turbulence, solitons, vortices, L-H transitions, and transport phenomena in fusion devices. He applies dynamical systems theory and numerical modeling to understand the complex behavior of plasma edge and core regions. His work bridges theoretical physics with practical fusion reactor design challenges. The recent publications highlight a strong focus on turbulence modeling, wave interactions, isotope effects in fusion plasmas, and diagnostic development. Trends show sustained contributions to understanding transport barriers, fast-ion dynamics, and filamentary structures in the scrape-off layer. His work integrates fractional kinetics, collective scattering, and global modeling approaches. Jens Juul Rasmussen has supervised numerous PhD students, including Jens M. B. Olsen, Andreas S. Thrysøe, Mikkel Dam, and others, in projects related to coherent structures, L-H transitions, and blob dynamics. He has participated in major fusion research initiatives and served on scientific committees. Though no specific awards are listed, his extensive publication record and leadership roles indicate high recognition in the field. He has been involved in projects such as 'Studies of Coherent Structures in Magnetically Confined Plasmas' and 'Global Modelling of Turbulence and Transport,' often collaborating with leading institutions in Europe. His activities include invited talks at the EU-US Transport Task Force and workshops on wave-flow interactions, demonstrating his active engagement in the scientific community.

Klemen RupnikView profile

Associate Professor

• Indoor Environmental Quality
• Building Systems
• Building Technology
• +5 more

Klemen Rupnik is an Associate Professor in the Department of the Built Environment at Aalborg University, under the Faculty of Engineering and Science. His work is centered within the Indoor Environmental Quality and Building Systems Research Group, where he contributes to advancing knowledge in building technology, indoor climate, and sustainable building systems. His research focuses on improving indoor environmental quality and optimizing building systems for energy efficiency and occupant comfort. This includes studies on ventilation, thermal comfort, indoor air quality, and integrated design approaches for high-performance buildings. His interdisciplinary work bridges engineering, architecture, and environmental health. The research group emphasizes both experimental and computational methods to analyze and enhance building performance. Projects often involve system-level integration of HVAC technologies, monitoring of real-world building conditions, and development of control strategies for healthier indoor environments. Klemen Rupnik has not listed any scientific awards in the provided information. He is involved in research activities related to building technology and indoor environmental systems, though specific grants or funding sources are not mentioned. He is part of a dedicated research group working on next-generation building solutions, focusing on sustainability, occupant well-being, and technological innovation in the built environment.

Casper Schousboe AndreasenView profile

Associate Professor

• Topology Optimization
• Fluid Dynamics
• Heat Transfer
• +5 more

Casper Schousboe Andreasen is an Associate Professor at the Technical University of Denmark (DTU), affiliated with the Department of Civil and Mechanical Engineering within the Solid Mechanics division. His research focuses on topology optimization, fluid dynamics, and thermal systems design, with applications in aerospace engineering, microfluidics, and sustainable energy systems. He holds a PhD (2011) and Cand. Polyt (2008) from DTU. Education: PhD in Engineering (DTU, 2011), Cand. Polyt (DTU, 2008) His research interests include fluid-structure interaction, aeroelastic wing design, thermal insulation optimization, and topology optimization for additive manufacturing. He leads projects on labyrinth seal optimization, thermal resistance walls, and high-resolution fluid topology design. His work contributes to UN Sustainable Development Goal 7 (Clean Energy) through innovative heat exchanger and insulation technologies. Recent projects involve optimizing 3D-printed walls for thermal resistance, topology-based design of hydraulic systems, and aeroelastic wing configurations under large deformations. He supervises multiple PhD students focusing on topics like exascale CFD, fiber-reinforced composites, and EHD calculations in marine engines. He is part of DTU's TopOpt group, collaborating internationally on fluid dynamics and structural optimization. His methodologies bridge computational mechanics and industrial applications, emphasizing manufacturability and high-performance design.