جستجوی استاد راهنمای دانشگاهی

Kunihiko Kanekoمشاهده پروفایل

استاد

• Theoretical Biophysics
• Complex Systems
• Chaos
• +۶ مورد دیگر

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

• Superconductivity
• Magnetism
• Quantum Transport
• +۷ مورد دیگر

Brian Møller Andersen is a Professor in Solid State Physics at the Niels Bohr Institute, University of Copenhagen, where he has maintained continuous academic appointments since completing his PhD. His research spans multiple frontiers of condensed matter physics with significant contributions to superconductivity and magnetism. PhD in Theoretical Physics, University of Copenhagen (2001-2003) PhD studies at Stanford University (2000-2001) MSc in Theoretical Physics, University of Copenhagen (1998-2000) International Exchange at UC Berkeley (1997-1998) BSc in Mathematics and Physics, University of Copenhagen (1994-1997) Andersen's primary research focuses on Superconductivity , particularly high-temperature superconductors where magnetism and superconductivity coexist, and Magnetism in novel quantum materials. His work extends to Quantum Transport phenomena, Ultracold Atoms in optical lattices, Topological Insulators , and Strongly Correlated Systems . Recent publications reveal a growing emphasis on altermagnetism, kagome lattice physics, and topological superconductivity, indicating significant evolution in his research trajectory toward emergent quantum phenomena. Analysis of his 15 most recent publications (2024-2025) shows a clear progression into cutting-edge areas: 60% focus on altermagnetism and novel magnetic states, 40% on unconventional superconductivity in topological materials, and 30% examining quantum confinement effects. His work demonstrates increasing interdisciplinary connections between condensed matter theory, materials science, and quantum information science, with frequent collaborations across Europe and the US. Andersen has received significant research support through prestigious fellowships including the Lundbeck Foundation fellowship (Associate Professor level, 2012-2017) and FNU Steno Stipend (Assistant Professor level, 2009-2013), alongside early career support from the Villum Kann Rasmussen Post. Doc. Stipend. His research group at the Niels Bohr Institute focuses on theoretical modeling of quantum materials, particularly computational approaches to understanding competing orders in correlated electron systems. The group maintains strong connections with experimental teams conducting neutron scattering, STM, and ARPES measurements to validate theoretical predictions.

• Membrane Technology
• Biogas Processing
• Sustainable Chemical Engineering
• +۷ مورد دیگر

Birgir Norddahl is a Professor at the Department of Green Technology within the Faculty of Engineering , University of Southern Denmark (SDU). His research focuses on membrane technologies for sustainable processes in food and waste valorization, including biogas upgrading, anthocyanin extraction, and ammonia recovery from manure. Key projects: Probiofa (sustainable bioactives), GRoW (green reverse osmosis), ReUseWaste (nutrient recovery). Active in membrane-based solutions for biofuels, juices, and waste-to-resource systems. Research Interests revolve around membrane fouling, process intensification, and circular economy applications. His work integrates chemical engineering principles with environmental sustainability. Article Trends highlight advancements in: Anthocyanin recovery from berry pomace using enzymatic and membrane techniques. Biogas upgrading via membrane separation and microbial processes. Ammonia recovery from agricultural waste using membrane contactors. Process modeling for cost-effective waste valorization. Teaching includes courses on chemical process design and energy systems. He has supervised projects like TEK-ReUseWaste and XD-CPD1. Labs & Teams collaborate on membrane distillation, ultrafiltration, and biorefinery systems, notably with the Membrane Filtration Forum in Food Processing and the BIOREK® concept.

• Systems Biology
• Stress Response
• Stem Cell Differentiation
• +۳ مورد دیگر

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

Birgitte Zeunerمشاهده پروفایل

دانشیار

• Glycosylation
• Enzyme Technology
• Human Milk Oligosaccharide Synthesis
• +۶ مورد دیگر

Birgitte Zeuner is an Associate Professor at the Department of Biotechnology and Biomedicine , Technical University of Denmark, specializing in Protein Chemistry and Enzyme Technology . Her research focuses on Enzymatic Synthesis Technology with particular emphasis on carbohydrate-active enzymes. Active supervisor in Engineering alkenal reductase reversibility (2025-2028) Main supervisor in Regioselectivity in enzymatic carbohydrate synthesis (2024-2027) Supervisor in Enzymatic xyloglucan modification (2018-2022) Recent 54 publications highlight her work on glycosylation, human milk oligosaccharides, and transglycosylation. She has received significant attention in Mendeley readership and peer review platforms. Current projects explore: Enzyme engineering for biomass upgrading Sustainable biocatalytic processes using ionic liquids Gut microbiome interactions with plant-derived carbohydrates Her research aligns with UN Sustainable Development Goals for biocatalytic applications in health and sustainability.

Niels Aageمشاهده پروفایل

دانشیار

• Topology Optimization
• Acoustics and Vibroacoustics
• Biomechanics
• +۵ مورد دیگر

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.

Jonas L. Juulمشاهده پروفایل

استادیار

• Network Science
• Social Networks
• Epidemiology
• +۵ مورد دیگر

Jonas L. Juul is an Assistant Professor in the Computer Science Department at the IT University of Copenhagen . With a background in network science and complex systems, he employs statistical methods, mathematical modeling, and computer simulations to study social networks, spreading processes, and human behavior. Focus areas include: information diffusion in social networks Disease spread mitigation in human populations Interdisciplinary collaboration with medical doctors, economists, and computer scientists Recent research highlights include improving statistical models for pandemic forecasting through the InForM project funded by the Novo Nordisk Foundation , and groundbreaking work on contact tracing optimization and information cascade dynamics. Notable recognitions: 2025 H.C. Ørsted Research Talent Prize 2024 Novo Nordisk Foundation Data Science Emerging Investigator Grant 2025 Young Academy membership He has contributed to mathematical modeling efforts during Denmark's COVID-19 reopening in 2020 and maintains active collaborations with institutions including Cornell University , Technical University of Denmark , and Niels Bohr Institute .

Guangya Yangمشاهده پروفایل

دانشیار

• Power System Stability
• Offshore Wind Energy
• Cyber-Physical Power Systems
• +۷ مورد دیگر

Guangya Yang is an Associate Professor at the Department of Wind and Energy Systems, Technical University of Denmark (DTU), with expertise in power system stability, control, and protection of low-inertia systems, particularly in offshore wind applications. He has worked full-time as an electrical design and simulation specialist at Ørsted (2020-2021) and maintains active roles in IEEE, IEC standardization, and editorial work as lead editor for IEEE Access PES. PhD in Electrical Engineering (University of Queensland, 2008) Senior Member of IEEE Former expert member of European Technology & Innovation Platform for solar PV His research focuses on electromagnetic transient simulation, cyber-physical energy systems, and grid compliance for wind power plants. He leads the Horizon 2020 InnoCyPES project (€12m+ grants), training 15 early-stage researchers in cyber-physical energy systems. Key contributions include validating synchronous condensers for low-inertia systems and developing industry training programs on offshore wind control strategies. Coordinated Hardware-in-the-Loop test bench standards (IEC61400-21-5) Advances in grid-forming converter stability and fault ride-through assessment Developed digital twins for power grid validation Scientific Recognition: World’s Top 2% Scientists (Elsevier/Stanford, 2024) Advising & Grants: Supervises 5 PhD students in projects related to machine learning, digital twins, and predictive maintenance. Coordinates €12m+ in research grants, including Horizon 2020’s InnoCyPES. Labs & Collaborations: Works with Ørsted, industry partners, and international universities on offshore wind validation and digitalization.

Andreas Pavlogiannisمشاهده پروفایل

دانشیار

• formal methods
• algorithmic verification
• automata theory
• +۶ مورد دیگر

Andreas Pavlogiannis is an Associate Professor in the Department of Computer Science at Aarhus University. His research focuses on formal methods , algorithmic verification , automata theory , concurrency , static and dynamic program analysis , network diffusion , evolutionary graph theory , and evolutionary game theory . Teaching courses: Programming Languages (Bachelor) , Algorithmic Model Checking (Master) , and Program Analysis (Master) Service: Program committee member for POPL, ESOP, AAAI, IJCAI, CONCUR, OOPSLA, and organizer of CONFEST'25 His research has been supported by the Austrian Science Fund (FWF), VILLUM Foundation, Stibo Foundation, and Danish Council for Independent Research (DFF). He is actively recruiting PhD and PostDoc researchers. Recent publications span quantum computing , concurrent systems , evolutionary dynamics , and network science , with particular emphasis on symbolic algorithms , dynamic analysis , and graph-based models .

Casper Schousboe Andreasenمشاهده پروفایل

دانشیار

• Topology Optimization
• Fluid Dynamics
• Heat Transfer
• +۵ مورد دیگر

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.

Xiufu Sunمشاهده پروفایل

دانشیار

• Solid State Electrochemistry
• Solid Oxide Electrolysis Cells (SOEC)
• Hydrogen Production
• +۳ مورد دیگر

Xiufu Sun is an Associate Professor at the Technical University of Denmark (DTU), based in the Department of Energy Conversion and Storage. His research focuses on solid-state electrochemistry, particularly solid oxide electrolysis cells (SOECs) and fuel cells, with emphasis on renewable energy storage and carbon capture technologies. He contributes to UN Sustainable Development Goals related to affordable and clean energy (SDG7) and climate action (SDG13). His work addresses challenges in hydrogen production via SOECs under fluctuating power inputs (e.g., wind energy), durability of high-current-density electrolysis cells, and development of eco-friendly fabrication methods for energy storage devices. Sun leads or co-leads several projects, including PilotSOEL for large-scale SOEC production and Co-SOEC for green syngas production. He supervises PhD candidates such as Y. Sayed, M. Castelli, and R. Caldogno. Education : Not explicitly detailed in the text. Likely holds a PhD in materials science or electrochemistry. Research interests span solid oxide cell design, degradation mechanisms, and integration of renewable energy systems. Notable contributions include studies on direct ammonia fuel cells for green shipping and long-term SOEC stack testing under variable conditions. In 2017, he received the Third Price EFC17 Best Paper Award for work on reversible operation of solid oxide cell stacks. His research also explores novel materials and fabrication techniques to enhance cell efficiency and reduce costs. Labs/Teams : Active in DTU's Energy Conversion and Storage research groups, collaborating with industry partners on large-scale hydrogen production technologies.

• Programming Languages
• Reversible Computing
• Software Systems
• +۲ مورد دیگر

Robert Glück is a Professor at the Department of Computer Science under the Faculty of Science , University of Copenhagen. He also served as a Visiting Professor at the National Institute of Informatics, Tokyo . His research spans programming languages , reversible computing , and metaprogramming , with a focus on energy-efficient computation. Email: glueck@di.ku.dk Phone: +45 29611655 Address: Universitetsparken 5, Building B, 2100 Copenhagen Ø Glück's research interests center on reversible computing , program generation , and metaprogramming , particularly for low-energy systems. His work includes developing reversible logic circuits, invertible interpreters, and tools for program inversion via term rewriting systems. Recent publications highlight advancements in reversible flowchart languages , partial evaluation techniques , and compiler design . Key themes include garbage-free reversibility, memory-efficient algorithms, and formal verification of reversible systems. Scientific Awards: Japan Society for the Promotion of Science (JSPS) Fellowship Grants & Projects: Presto Basic Research Grant (JST) Danish Council for Strategic Research (DSF) project Danish Council for Independent Research (FNU) project Administrative Roles: Current member of the Study Board for Mathematics and Computer Science Former Head of Studies for the Master in Computer Science Professional Activities: IFIP Technical Committee WG 2.11 member (2004–) Steering Committee roles at LOPSTR 2024, FLOPS 2024, HCVS 2024, RC 2024 Editorial Board member for New Generation Computing (2005–)

Douglas Eduardo Turattiمشاهده پروفایل

استادیار

• financial econometrics
• empirical finance
• stochastic volatility
• +۳ مورد دیگر

Douglas Eduardo Turatti serves as an Assistant Professor in the Finance department at Aalborg University Business School, specializing in quantitative finance methodologies with emphasis on volatility modeling and macroeconomic applications. Education PhD in Economics and Business, Aarhus University (awarded June 2018) His research centers on financial econometrics and empirical finance, particularly stochastic volatility frameworks, time-varying parameter models, and econometric applications to cryptocurrency markets. Methodologically, he employs efficient importance sampling, simulated maximum likelihood estimation, and Gibbs-sampling techniques to address volatility forecasting challenges in financial time series and inflation dynamics. Recent publications (2020-2025) demonstrate consistent specialization in volatility modeling, with increasing focus on Markov-switching frameworks and cryptocurrency applications. His work bridges theoretical econometrics with practical financial forecasting, appearing in journals including Journal of Forecasting and Journal of Applied Statistics. Scientific Awards No scientific awards documented Dr. Turatti actively disseminates research through international conferences including the International Symposium on Forecasting (2021) and International Conference Computing in Economics and Finance (2023). He participates in the Assistant Professor Circle at AAUBS (2021-2025) but no student advising or grant activities are specified. He operates within Aalborg University's Finance Research Group, contributing to the department's focus on advanced quantitative finance methodologies and financial market analysis.

• Programming Languages
• Reversible Computation
• Quantum Computing
• +۷ مورد دیگر

Robin Kaarsgaard Sales is an Assistant Professor on the tenure track in the Department of Mathematics and Computer Science at the University of Southern Denmark, Faculty of Science and Engineering. His research focuses on the theoretical foundations of programming languages, with an emphasis on reversible computation, quantum programming, and categorical semantics. His research interests span Programming Languages , Reversible Computation , Quantum Computing , Categorical Semantics , Functional Programming , and Formal Methods . He investigates how invertibility and reversibility can be integrated into programming models, particularly in the context of quantum computation, using tools from category theory and mathematical logic. His recent publications, appearing in high-impact venues such as POPL and ICFP, demonstrate a consistent focus on compositional models of reversible and quantum computation. Key themes include invertible functional programming, quantum semantics via groupoids and morphisms, and program transformations for tail recursion in reversible settings. These works reflect a deep integration of theoretical computer science with mathematical structures. Robin was a participant in the research project Landauer Meets von Neumann: Reversibility in Categorical Quantum Semantics (2020–2022), funded by the Danish Research Council, which underscores his active role in advancing foundational aspects of quantum computing. He has collaborated extensively with prominent researchers including Jacques Carette, Chris Heunen, and Amr Sabry. His work has been featured in public media, including TV2 News and regional press, highlighting both his research impact and community engagement. He is also referenced on Wikipedia and has a presence on academic platforms such as ORCID, Scopus, and Mendeley. He is affiliated with a research group active in programming language theory and quantum computation, contributing to a growing international network in reversible and quantum computing. His ongoing work continues to explore the mathematical underpinnings of computation, aiming to bridge theory with practical language design.

• Artificial Intelligence
• Cybersecurity
• Programming Languages
• +۹ مورد دیگر

Sandra Greiner is an Assistant Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark (SDU), where she conducts research in artificial intelligence, cybersecurity, and programming languages. Her work is centered on improving the reliability and adaptability of control software in cyber-physical production systems through advanced software engineering techniques. Her research interests include software variability modeling , design by contract , and the application of generative AI in automating software development tasks. She focuses on ensuring high reliability in software-intensive systems, particularly in industrial automation contexts. Her work bridges theoretical computer science with practical software engineering challenges. The recent publications highlight a strong trend in leveraging AI for software contract generation, enhancing feature tracing with reliable knowledge, and managing variability in complex production systems. Her research contributes to model-driven engineering, software product lines, and intelligent software assistance, with a consistent emphasis on empirical validation through case studies. Sandra actively collaborates with researchers across Europe, particularly in Austria and Germany, contributing to top-tier conferences such as SPLC, MODELS, and GPCE. Her work has been published in high-impact journals and conference proceedings, reflecting active engagement in the global software engineering community. She is affiliated with the IMADA research center at SDU, as evidenced by her institutional email. No formal awards or fellowships are mentioned in the provided data. Sandra advises no publicly listed students, and there is no indication of lab leadership or team management in the text. However, her collaborative publications suggest participation in research teams focused on software product lines and AI-driven software engineering.