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Jørgen Arendt JensenView profile

Professor

• Medical Ultrasound
• Biomedical Signal Processing
• Digital Signal Processing
• +4 more

Jørgen Arendt Jensen is a Professor of Biomedical Signal Processing at the Technical University of Denmark (DTU), with dual affiliations in the Department of Health Technology and the Department of Electrical Engineering (DTU Elektro). He leads the Center for Fast Ultrasound Imaging (CFU), a collaborative initiative involving DTU, BK Medical, Rigshospitalet, and DTU Nanotech. His research focuses on advanced medical ultrasound technologies, including synthetic aperture imaging, vector flow imaging, and ultrasound simulation, aiming to improve clinical image acquisition efficiency and accuracy. He teaches medical imaging courses and co-initiated the joint biomedical engineering program between DTU and the University of Copenhagen. Jensen’s work contributes to UN Sustainable Development Goals related to health and innovation. His research interests span algorithm development for fast ultrasound imaging, blood velocity characterization, and simulation of ultrasound systems. He supervises multiple PhD students and collaborates on projects involving transducer design, real-time imaging systems, and microvascular pathology analysis. Recent publications emphasize advancements in super-resolution ultrasound imaging, transducer optimization, and pressure gradient estimation. His lab, CFU, develops cutting-edge imaging solutions for clinical applications. Jensen’s contributions include patents on ultrasound imaging techniques and collaborative ventures to enhance diagnostic capabilities through interdisciplinary engineering.

Søren Lundbye-ChristensenView profile

Associate Professor

• Biostatistics
• Medical Statistics
• Cardiovascular Research
• +7 more

Søren Lundbye-Christensen is an Associate Professor and Biostatistician affiliated with the Clinical Institute at the Faculty of Health Sciences, Aalborg University, and Aalborg University Hospital in Denmark. He specializes in biostatistical support for medical research, with a strong emphasis on cardiovascular and epidemiological studies. His research interests include biostatistics, survival analysis, cohort studies, clinical epidemiology, and statistical modeling in public health. He has contributed to a wide array of healthcare research, particularly in cardiovascular diseases, cancer, maternal health, and infectious diseases. His methodological expertise spans time-to-event analysis, registry-based research, and interval-censored data modeling. The recent publications highlight a strong trend in applying advanced statistical methods to large-scale clinical and population-based datasets. His work often involves collaboration with medical researchers to derive prognostic models, validate clinical databases, and assess public health outcomes. Key themes include cardiovascular risk, fertility, cancer biomarkers, and implementation of medical training programs. Scientific Contributions and Recognition: Published over 320 research articles and datasets. Active contributor to methodological advancements in biostatistics. Regular peer reviewer, including for journals like the R Journal. Public engagement through media appearances on statistics and health. Academic Advising and Grants: Søren has supervised 31 student theses, formally serving as PhD supervisor for 14 theses and as a biostatistical advisor for 19 others, primarily in mathematics and statistics. He has participated in numerous research projects funded through institutional and national grants, including studies on seasonal disease trends, postoperative complications, and metabolic disease prediction. His work often involves interdisciplinary collaboration across medicine, public health, and data science. Labs and Research Teams: He is embedded in collaborative research networks at Aalborg University Hospital and Aalborg University, contributing statistical expertise to clinical research groups. He is involved in projects utilizing Danish national health registries and has contributed to the development and validation of clinical databases. His work supports both hypothesis-driven medical research and methodological innovation in biostatistics.

Peter SestoftView profile

Professor

• Programming Languages
• Software Development
• Parallel Programming
• +4 more

Peter Sestoft is a Professor at the IT University of Copenhagen (ITU), leading the Computer Science Department since 2017. His primary roles include academic leadership, research in programming languages and software engineering, and teaching. He holds a PhD in Computer Science from the University of Copenhagen (1991) and has held academic positions at institutions like the Royal Veterinary and Agricultural University and the Technical University of Denmark before joining ITU in 1999. His research focuses on programming languages, functional and managed object-oriented languages, parallel programming, compilers, and spreadsheet implementation technologies. He has developed influential tools like the C5 Generic Collection Library for C# and Moscow ML, a Standard ML implementation. His work on Funcalc and Corecalc advanced spreadsheet technology with user-defined functions and efficient recalculation algorithms. Key contributions include over 30 publications, including books on programming language concepts and Java/C# syntax. He has led major research projects such as 'Popular Parallel Programming' (P3) and 'Probabli' for actuarial calculations. His academic service includes roles on national grant committees and international conference organizing committees. Notable advising includes PhD students like Andrzej Wasowski (ITU Professor) and David Christiansen (Director of Haskell Foundation). His work has been recognized through grants exceeding 25 million DKK and collaborations with institutions like Microsoft Research and Harvard University.

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.

• Programming Languages
• Functional Programming
• Array Programming
• +4 more

Troels Henriksen is an Assistant Professor on Tenure Track at the Department of Computer Science (DIKU) at the University of Copenhagen, where he is affiliated with the Programming Languages and Theory of Computation research section. His research focuses on programming languages, particularly functional array programming languages, compiler design, and parallel computing. He maintains an active research profile with numerous publications in top-tier programming language conferences. Dr. Henriksen's research interests center around programming language theory and implementation, with particular emphasis on functional array programming languages. His work bridges theoretical foundations with practical high-performance computing applications. His research spans type systems, compiler optimizations, parallelism, and memory management in the context of array programming languages, contributing to both academic knowledge and practical language implementations. His recent publications reveal a strong focus on array programming language design and implementation. There is a clear trend toward optimizing functional array languages for high-performance computing environments, with significant work on fusion optimizations, parallelism, and memory management. His research often intersects with practical applications in scientific computing and machine learning, particularly through work on automatic differentiation for array languages. Dr. Henriksen is actively involved in the programming languages research community, regularly publishing in prestigious venues such as the ACM SIGPLAN conferences. His collaborations span multiple institutions, indicating an active research network in the programming languages field.

• Glycobiology
• Glycomics
• Glycoproteomics
• +5 more

Yoshiki Narimatsu serves as Associate Professor in the Department of Cellular and Molecular Medicine at the University of Copenhagen's Faculty of Health and Medical Sciences. He is an integral member of the Copenhagen Center for Glycomics (CCG) and Clausen Group, where he contributes to groundbreaking research in glycosciences. His research focuses on transforming glycomics from a specialist field into a mainstream 'Omics' discipline through genetic approaches. Key programs include GlycoDisplay, GlycoCRISPR, GlycoDesign, and GlycoView, which develop innovative tools for glycan analysis. His work bridges molecular biology, glycobiology, and genetic engineering to overcome technical barriers in glycoscience. Analysis of his recent publications reveals a strong emphasis on glycan-virus interactions, mucin biology, and CRISPR-based glycomics. His research demonstrates how specific glycan structures (particularly sialylated N-glycans and O-glycans) regulate viral receptor binding, bacterial toxin interactions, and host-pathogen relationships. The work consistently applies genetic editing techniques to uncover fundamental glycosylation mechanisms. Narimatsu maintains active collaborations with international researchers and contributes to significant advancements in understanding how glycosylation defects cause disease. His laboratory develops community resources that make glycoscience more accessible to non-specialists, aiming to establish glycomics with the same analytical ease as genomics and proteomics.

• Programming Languages
• Type Systems
• Theoretical Computer Science
• +5 more

Hans Hüttel is a Part-time Lecturer and Guest Researcher in the Department of Computer Science at the University of Copenhagen's Faculty of Science, specializing in Programming Languages and Theory of Computation within the Programming Languages and Theory of Computation research group. His research focuses on: Type systems for programming languages Process calculi and concurrency theory Formal semantics of programming languages Static analysis techniques Theoretical foundations of programming languages Data flow and alias analysis Hüttel's scholarly work demonstrates sustained contributions to programming language theory with publications spanning from 2022 to 2025. His research trajectory shows both theoretical depth in process calculi and practical applications in modern programming languages. The 2025 publication on program synthesis indicates adaptation of his expertise to emerging AI-assisted programming paradigms while maintaining rigorous theoretical foundations. His publications appear in reputable venues including Communications of the ACM, Information and Computation, and Electronic Proceedings in Theoretical Computer Science, reflecting both theoretical significance and practical relevance in programming language design and implementation. Hüttel maintains active collaborations with researchers across multiple institutions as evidenced by his co-authored publications with colleagues including Lybech, Bendixen, Bojesen, Lund, Jensen, Paulsen, Teule, and Saioc. His work receives attention across academic platforms with readership on Mendeley and mentions on social media platforms including X and Bluesky.

Ju FengView profile

Researcher

• Wind Energy Systems
• Floating Offshore Wind Farms
• Wind Farm Optimization
• +6 more

Ju Feng is a Senior Researcher at the Department of Wind and Energy Systems, Technical University of Denmark (DTU), specializing in Wind Energy Systems , Wind Farm Optimization , and Control Strategies . He contributes to research in Floating Offshore Wind Farms , Multi-Disciplinary Optimization , and Noise Propagation . His work includes developing simulation tools, wake models, and control frameworks for wind farms in complex environments. Research Interests: Optimization of wind farm design and operation Advanced wake and flow modeling AI-driven wind energy solutions Noise control and acoustic propagation Multi-fidelity/multi-disciplinary modeling Cost-effective wind farm technologies Publication Trends: Ju Feng's recent work (2022-2024) focuses on floating offshore wind farms , noise constraints , and multi-disciplinary integration . Older articles (2012-2017) emphasize control algorithms , wake modeling , and optimization frameworks . Advising: Supervising PhD Student Wang R. (AI-Augmented Wind Farm Design Optimization, 2025-2028) Co-supervising Nyborg C. M. (Noise Control in Wind Farms, 2019-2023) Collaboration Network: Active in international projects like DecoWind, ModFarm, and FarmConners. Collaborates with institutions such as DTU Wind Energy and researchers including Shen W. Z. , Réthoré P.-E. , and Bredmose H. .

Ariya SangwongwanichView profile

Associate Professor

• Power Electronics
• Photovoltaic Systems
• Grid-Connected Converters
• +5 more

Ariya Sangwongwanich is an Associate Professor at the Department of Energy Technology, Aalborg University, within the Faculty of Engineering and Science. He leads the Sustainable Power Electronics and Electrification (SPELL) research program and has conducted visiting research at RWTH Aachen (2017) and the University of Cambridge (2023). Education: B.Eng. in Electrical Engineering, Chulalongkorn University (2013) M.Sc. in Energy Engineering, Aalborg University (2015) Ph.D., Aalborg University (2018) His research focuses on power electronics, grid-connected converters, photovoltaic systems, and reliability/sustainability in energy systems. Recent work emphasizes fault diagnosis, digital twin technology, and battery-PV system interactions. Notable scientific awards include the Danish Academy of Natural Sciences' Ph.D. Prize (2019), Spar Nord Foundation Research Award (2019), IEEE IPEMC-ECCE Asia Best Paper Award (2020), Best Presentation Awards at IEEE APEC (2016, 2021), and a DFF Sapere Aude Starting Grant (2024). Key projects include: GreenMag: Green High-Power Planar Magnetic Components (2025-2029, Innovation Fund Denmark) CirclePE: Circular Power Electronics for Green Transition (2025-2028, Independent Research Fund Denmark) OMRES: Operation & Digital Twin Solutions for Hybrid Renewable Energy (2025-2027, Horizon Europe) TEAMING: Predictive Maintenance for e-Powertrains (2024-2027, Horizon Europe) ALL2GaN: GaN IC Solutions for Greener Applications (2023-2026, Horizon Chips)

Steffan Noe Niikanoff ChristiansenView profile

Research Fellow

• Genetics
• Cardiology
• Molecular Biology
• +5 more

Steffan Noe Niikanoff Christiansen serves as a Postdoctoral Researcher at the Department of Health Science and Technology within the Faculty of Medicine at Aalborg University, Denmark. His research program focuses on elucidating the genetic and epigenetic mechanisms underlying sudden cardiac death in young individuals, with particular emphasis on calmodulinopathies and DNA methylation patterns in cardiac tissues. His academic credentials include: PhD in Oral Sciences, Forensic Medicine and Bioanthropology from the University of Copenhagen (2017-2022) MSc in Molecular Medicine from Aarhus University (2014-2016) BSc in Molecular Medicine from Aarhus University (2011-2014) Christiansen's research integrates molecular cardiology with forensic applications, investigating how DNA and RNA variations contribute to cardiac arrhythmias and sudden death. His work addresses critical challenges in variant interpretation by examining calmodulin gene mutations (CALM1/CALM2/CALM3) and epigenetic modifications, particularly DNA methylation alterations in cardiac development and postmortem tissues. This research has significant implications for improving genetic testing accuracy and risk stratification in clinical and forensic contexts. Analysis of his publication trajectory reveals a pronounced methodological focus on epigenetic techniques, with increasing specialization in cardiac methylation patterns since 2021. His recent work demonstrates sophisticated integration of genomic technologies across cardiac and neurological contexts, consistently bridging basic science with clinical applications through advanced bioinformatics approaches. As Principal Investigator of the Danish Cardiovascular Academy project "The Deadly, the Deleterious, and the Dangerous – Decoding the Differential Pathogenicity among CALM1, CALM2, and CALM3" (2024-2026), Christiansen leads a multi-institutional collaboration investigating calmodulin variant pathogenicity. This project involves key partners including the University of Copenhagen and international experts in cardiac genetics. He actively contributes to methodological advancement through tools like the "Snpbeadchip" R package for genomic analysis, while maintaining active collaborations across Danish research institutions as evidenced by his network map showing extensive domestic and international connections.

Oliver Ackermann LylloffView profile

Researcher

• Wind Energy
• Aeroacoustics
• Wind Tunnel Testing
• +3 more

Oliver Ackermann Lylloff is a Researcher at DTU Wind and Energy Systems, Technical University of Denmark, specializing in experimental wind turbine aeroacoustics and wind tunnel testing. His work directly contributes to UN Sustainable Development Goals for affordable clean energy and climate action through advanced rotor design research. Education: PhD in Wind Energy Systems, Technical University of Denmark (2017-2021) Dr. Lylloff's research centers on experimental aeroacoustic characterization of wind turbine components using the Poul la Cour Wind Tunnel (PLCT). His expertise spans leading edge erosion analysis, vortex generator noise detection via beamforming, and Kevlar membrane acoustic properties under aerodynamic loading. He develops innovative methodologies for noise source localization and blade surface durability testing, directly addressing industry challenges in turbine noise reduction and efficiency optimization. His recent publications (2024-2025) demonstrate a cohesive research trajectory focused on experimental wind tunnel validation of aerodynamic and aeroacoustic phenomena. Key trends include the development of open-source tools like AeroAcoustics.jl, systematic studies of leading edge protection systems, and advanced beamforming techniques for noise source identification—bridging theoretical fluid dynamics with practical wind turbine design constraints. As Principal Investigator for the Sustainable and Cost Efficient Small Wind Turbine project (2025-2027), Dr. Lylloff leads a €2.1M research initiative funded by the Danish Energy Agency. His grant portfolio includes multiple collaborative projects with industry partners like Siemens Gamesa and Vestas, focusing on distributed energy solutions and blade erosion mitigation. Dr. Lylloff operates within DTU's Rotors Wind Turbine Design Division and the Poul la Cour Wind Tunnel Laboratory (PLCT), where he manages experimental campaigns using state-of-the-art microphone arrays and beamforming systems. He actively disseminates research through public datasets like the PLCT-data collections and engages in knowledge transfer via media appearances and conference organization.

• Genetics
• Reproductive Biology
• Aging
• +3 more

Jason Alexander Halliwell serves as an Assistant Professor in the Department of Cellular and Molecular Medicine at the University of Copenhagen's Faculty of Health and Medical Sciences. He is affiliated with the Molecular Aging Program and the Hoffmann Group, focusing on germline genome stability and reproductive aging. His research investigates chromosome rearrangements, aneuploidy in human eggs (affecting 20%-85% of eggs with strong maternal age correlation), and DNA damage response mechanisms in reproduction. Using mouse, yeast, and human embryonic models, his work explores how defects cause reproductive disorders and cancer, emphasizing genome stability during gamete formation and embryonic development. Recent publications (2021-2024) in Nature Communications and Cell reveal interdisciplinary work spanning mammalian embryogenesis, meiotic recombination timing, and genetic variation detection. These studies integrate genetics, developmental biology, and reproductive medicine to address error-prone human reproduction and aging-related egg quality decline. No scientific awards were documented in the provided text. While specific grant details and student mentorship records are not detailed, Halliwell collaborates internationally through the Hoffmann Group to study germline genome dynamics using multi-model systems, with research implications for infertility and reproductive aging.

Bernd DammannView profile

Associate Professor

• High-Performance Computing
• Scientific GPU Computing
• Parallel Programming
• +3 more

Bernd Dammann is an Associate Professor in Scientific Computing at the Technical University of Denmark (DTU) , Department of Applied Mathematics and Computer Science. In parallel he serves as Scientific Lead & Architect in the DTU Computing Center (DCC) and co-founded DTU’s GPUlab in 2007, giving him dual roles in both academic research and institutional HPC services. Education Dipl.Phys. in Statistical Physics, University of Mainz, 1992 PhD in Physical Chemistry, DTU, 1996 Research interests Over almost three decades Dammann has focused on computational methods for large-scale scientific problems. His core expertise lies in: High-Performance Computing and parallel programming paradigms (OpenMP, MPI, GPU) Scientific GPU computing and many-core architectures Application tuning and performance optimization for heterogeneous systems Uncertainty quantification, Monte-Carlo methods, and real-time control applications in biomedicine (diabetes technology) Ultrasound beamforming and advanced imaging techniques Publication trends His 34 publications (1996-2025) trace a clear evolution from theoretical physics and surface-science simulations to GPU-accelerated engineering and biomedical systems. Recent work clusters around real-time biomedical control (artificial pancreas, virtual clinical trials) and high-resolution ultrasound imaging, all leveraging GPU acceleration and high-performance computing to achieve real-time performance. Scientific awards & recognition Contributor to 1 patent family and widely downloaded technical reports (>10 k downloads for OpenCL tutorial) Consistently high citation counts on key optimization and control papers (e.g., 93 citations for 2014 Management Science article) Teaching, supervision & grants He teaches or co-teaches multiple DTU courses: High-Performance Computing , Large-scale Computations , Python & HPC , Mathematical Software , and HPC with FORTRAN . While individual students are not named, his role in GPUlab and DCC implies ongoing PhD and MSc supervision, and his projects list six active collaborations including EU and national HPC infrastructure grants. Labs & teams Dammann co-founded GPUlab (2007) and presently leads the HPC architecture team in the DTU Computing Center , a central facility supplying cluster resources to the entire university.

Edward Alexandru TodiricaView profile

Associate Professor

• Multimedia Applications
• Embedded Systems
• Software Engineering
• +6 more

Edward Alexandru Todirica is an Associate Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark. His research focuses on multimedia applications, embedded systems, and software engineering, with a particular emphasis on distributed multimedia and real-time systems. He has contributed to the development of virtual seminar room technologies and educational curriculum design for IT programs. His work spans digital signal processing, internet of multimedia things, and system components. Key collaborations include industry partners like Siemens and Danfoss. Publications highlight trends in educational innovation, multimedia systems, and real-time software engineering. No scientific awards are explicitly mentioned in the available data.

Cosmin Eugen OanceaView profile

Associate Professor

• Programming Language Design and Implementation
• Compiler Optimization
• Automatic Parallelization
• +7 more

Cosmin Eugen Oancea serves as an Associate Professor in the Programming Languages and Theory of Computation section at the Department of Computer Science (DIKU), University of Copenhagen, Faculty of Science. His academic profile shows active engagement in research, teaching, and collaboration within the computer science community. Education: PhD in Computer Science from Western University (completed November 20, 2005) Dissertation title: "Parametric Polymorphism for Software Component Architectures and Optimizations" Oancea's research spans multiple domains within computer systems, with primary focus on static, dynamic and hybrid techniques for automatic parallelization (optimizing compilers), programming language design and implementation, memory management, and computer algebra. His recent work demonstrates strong connections between functional programming, array languages, and high-performance computing, with applications in financial modeling, automatic differentiation, and time series analysis. He has made significant contributions to the Futhark programming language ecosystem, focusing on compiler optimizations and performance tuning for GPU architectures. His publication record shows consistent output in top-tier venues including SC (International Conference for High Performance Computing), IFL (Symposium on Implementation and Application of Functional Languages), and ARRAY (Workshop on Libraries, Languages and Compilers for Array Programming), with a notable concentration of publications from 2021-2023. His research demonstrates interdisciplinary connections between computer science theory and practical applications in finance, environmental data analysis, and machine learning infrastructure. Oancea maintains active international collaborations across multiple countries, as indicated by the network visualization of his research partnerships. His work bridges theoretical computer science with practical implementations, particularly in the domain of array programming and compiler optimization for parallel architectures.