جست‌وجوی استاد و پژوهشگر

Torben Knudsenمشاهده پروفایل

دانشیار

• Wind Turbine Engineering
• Process Control
• Control Systems
• +۶ مورد دیگر

Torben Knudsen is an Associate Professor at the Department of Electronic Systems, Aalborg University, Denmark. He is affiliated with the Automation & Control Learning and Decisions Lab and holds positions in The Technical Faculty of IT and Design. His research focuses on control systems, wind turbine engineering, stochastic processes, and biomedical applications such as diabetes modeling. Education: Advanced degrees in engineering, though specific details are not explicitly listed. Research Interests: Wind turbine dynamics, offshore wind farm control, stochastic modeling of biomedical systems, fault detection, and optimization techniques. His work integrates control theory with renewable energy systems, particularly addressing challenges in wind turbine aeroelasticity and floating offshore wind farms. Recent projects include the development of health-aware simulation platforms (FOWLTY) and insulin dose optimization algorithms for type 2 diabetes. Key Projects: ICONIC (2023-2027) : Focuses on intelligent control of industrial processes. PRESTIGE (2020-2023) : Explored predictive manufacturing and quality control. Modelling and Control of Type 2 Diabetes (2019-2024) : Developed stochastic models for glucose-insulin dynamics. Knudsen has received the Best Paper Award (2015) for contributions to predictive manufacturing. His research also extends to pandemic modeling, including work on SARS-CoV-2 variant outbreaks and hospital preparedness during epidemics. Advising & Grants: Active in interdisciplinary collaborations, including funding from EU projects like Aeolus and OFFWIND. He contributes to grants focusing on wind farm control, diabetes modeling, and stochastic systems. Labs & Teams: Leads the Automation & Control Learning and Decisions Lab, collaborating with international teams on energy systems and biomedical engineering challenges.

Andreas Basse-O'Connorمشاهده پروفایل

استاد

• Stochastic Processes
• Fractional Calculus
• Probability Theory
• +۳ مورد دیگر

Andreas Basse-O'Connor is a Professor at the Department of Mathematics, Aarhus University. His research focuses on stochastic processes, fractional calculus, and probability theory, particularly in areas like harmonizable fractional stable processes, infinite divisibility, and Ornstein–Uhlenbeck dynamics. His recent work explores power variations for random fields, asymptotic behavior of fractional Lévy motions, and statistical properties of heavy-tailed distributions. He collaborates on topics including stochastic delay differential equations and synchronization of chaotic fractional-order systems.

Hao Liمشاهده پروفایل

پژوهشگر ارشد

• Topology Optimization
• Mechanical Engineering
• Thermal Systems
• +۲ مورد دیگر

Hao Li is a MSCA Postdoc Fellow and Visiting Scholar at LIP6 , affiliated with the University of Southern Denmark in the Department of Mechanical Engineering . His research focuses on advanced computational methods for topology optimization in thermal, fluid, and structural engineering systems. Education: Not explicitly stated in the provided text. Current Projects: Leading EU-funded research on heat exchanger design using multiscale models and machine learning. Dr. Li's work spans multiscale topology optimization, level-set methods, and fluid-structure interaction, with applications in microchannel cooling, compliant mechanisms, and biodegradable composites. His recent publications highlight advancements in 3D conjugate heat transfer, adaptive meshing, and eigenfrequency maximization. The trends in his research output (2017–2025) emphasize thermal-fluid systems , high-resolution structural optimization , and manufacturable composite designs . Notable subfields include triply periodic minimal surfaces for cooling channels, nonlinear buckling analysis, and phasor-based dehomogenization techniques. Teaching & Supervision: Currently supervising projects on topology optimization frameworks for heat sinks and high heat flux cooling. His past projects (2018–2023) include research on piezoelectric transducers and thermal-fluid system design. Labs & Collaborations: Collaborates with institutions in Japan and France, focusing on experimental validation and industrial applications. His network includes partnerships with researchers in structural mechanics, computational fluid dynamics, and additive manufacturing.

Jonas Berxمشاهده پروفایل

پژوهشگر ارشد

• Non-equilibrium Statistical Mechanics
• Stochastic Thermodynamics
• Theoretical Biophysics
• +۶ مورد دیگر

Jonas Berx is a Research Fellow at the Niels Bohr Institute , University of Copenhagen, specializing in non-equilibrium statistical mechanics and theoretical biophysics. His research integrates concepts from knot theory, complex networks, and stochastic thermodynamics to model biochemical replication and chiral active matter dynamics.

• Quantum Information Science
• Quantum Computing
• Quantum Optics
• +۴ مورد دیگر

Martin Hayhurst Appel is an Assistant Professor and Postdoctoral researcher at the Niels Bohr Institute, Faculty of Science, University of Copenhagen. His research focuses on quantum information science and technology, particularly in the areas of quantum entanglement, quantum dot physics, and photon-spin interfaces. Dr. Appel's research interests span several key areas in quantum information science: Quantum entanglement generation and manipulation Solid-state quantum emitters and quantum dot physics Spin-photon interfaces for quantum communication Time-bin encoding for quantum information processing Integrated quantum photonics Multi-photon entangled states for quantum computing His recent publications demonstrate a strong focus on developing practical quantum technologies using solid-state systems, particularly quantum dots in photonic nanostructures. Appel's work has appeared in high-impact journals including Nature Communications, Nature Physics, and Physical Review Letters, indicating significant contributions to the field of quantum information science. Among his notable achievements is the development of deterministic photon sources for multi-qubit entanglement, on-chip spin-photon entanglement systems, and high-fidelity multiphoton-entangled cluster states. His research has garnered attention in the scientific community, with several publications receiving significant citations and media coverage. Dr. Appel has been actively collaborating with leading researchers in the field, including P. Lodahl, A.S. Sørensen, and M.L. Chan, contributing to a robust network of quantum information research at the University of Copenhagen and beyond.

Jonas Schou Neergaard-Nielsenمشاهده پروفایل

دانشیار

• Quantum Computing
• Quantum Optics
• Squeezed Light
• +۲ مورد دیگر

Jonas Schou Neergaard-Nielsen is an Associate Professor in the Department of Physics at the Technical University of Denmark (DTU). His research focuses on quantum physics and information technology, with expertise in quantum optics, continuous-variable quantum information processing, and quantum sensing. Key research areas include: Generation and application of squeezed light states Quantum metrology and sensing enhancements Integrated photonic quantum systems Quantum computation with continuous variables Recent experimental work demonstrates advances in thin-film lithium niobate quantum light sources, long-distance quantum communication, and measurement-device-independent protocols. His publications frequently explore quantum state engineering, optical quantum technologies, and quantum-enhanced measurement techniques. Dr. Neergaard-Nielsen serves as Principal Investigator at DTU's Center for Quantum Technologies and Center for Macroscopic Quantum States.

Sergey Sorokinمشاهده پروفایل

استاد

• Solid Mechanics
• Computational Mechanics
• Structural Dynamics
• +۷ مورد دیگر

Sergey Sorokin is a Professor in the Department of Materials and Production at Aalborg University, Faculty of Engineering and Science, Denmark. His research centers on solid and computational mechanics, with a focus on structural dynamics, wave propagation, vibro-acoustics, and finite element modeling. His research interests include: Wave propagation in periodic and elastic structures Vibro-acoustics and noise control Finite element methods and reduced-order modeling Nonlinear dynamics of beams and shells Acoustic black hole effects and vibration suppression Structural optimization and industrial system analysis The recent publications (2020–2025) demonstrate sustained activity in mechanical wave analysis, nonlinear structural behavior, and acoustic optimization. Key themes include the suppression of bending waves, asymptotic modeling of cylindrical shells, and bi-orthogonality in waveguides. These works reflect an interdisciplinary blend of theoretical mechanics, numerical simulation, and engineering applications. Scientific contributions include: Active participation in long-term research projects on mechanical vibro-acoustics and wave transmission since 2010 Supervision of at least four PhD students Extensive publication record (188 research outputs) with consistent contributions to journals like the Journal of the Acoustical Society of America and European Journal of Mechanics A/Solids He has advised several researchers and contributed to collaborative projects involving structural optimization and industrial component analysis. His work is deeply integrated into both theoretical and applied mechanical engineering, with emphasis on modeling and enhancing structural performance under dynamic loads. Sergey Sorokin is actively involved in research through ongoing projects such as 'Mechanical Vibro-Acoustics and Noise' and 'Analysis and Optimization of Wave Propagation in Periodic Structures'. These efforts are supported by advanced computational modeling and collaboration with peers like N. Olhoff and E. Lund.

Josep M. Guerreroمشاهده پروفایل

استاد

• Microgrid Engineering
• Control Strategy
• Renewable Energy Systems
• +۳ مورد دیگر

Josep M. Guerrero is a Professor at the Faculty of Engineering and Science, Aalborg University, specializing in Electric Power Systems and Microgrids. He holds advanced degrees in Electronic Engineering, Psychobiology, and Cognitive Neuroscience, and is a Villum Investigator with the Villum Foundation since 2019. His research focuses on microgrid control strategies, renewable energy integration, and power electronics for sustainable energy systems. Education: M.Sc. in Electronic Engineering, Ph.D., M.Sc. in Psychobiology and Cognitive Neuroscience Current Roles: Project Participant (NEST), Supervisor (4 PhD projects), Member of National Committee for Research Infrastructure (NUFI) Research interests span microgrid engineering, control strategies, and energy systems. His recent work includes decentralized control for shipboard power systems, fractional-order regulators for grid-forming converters, and hybrid energy storage optimization for seaports. Publications emphasize agricultural microgrids, cascaded converter synchronization, and sustainable heavy microgrids. Scientific awards include: CSEE Journal of Power and Energy Systems Excellent Paper Award (2024) IEEE Modeling and Control Technical Achievement Award (2023) IEEE PES Douglas M. Staszesky Distribution Automation Award (2022) IEEE Bimal Bose Award for Industrial Electronics Applications (2021) Best Paper Award (2021) He has supervised 39 PhD students and leads 8 ongoing projects, including NEST (National Research Infrastructure Roadmap) and LastWind (Ethiopian wind integration). Media coverage highlights his global recognition as a leading researcher in electrical engineering and contributions to sustainable energy solutions.

• Glaciology
• Ice-sheet dynamics
• Crystal orientation fabric (CPO)
• +۵ مورد دیگر

Nicholas Mossor Rathmann is an Assistant Professor at the Niels Bohr Institute , University of Copenhagen , working within the Physics of Ice, Climate and Earth department. His research focuses on the rheology and dynamics of ice sheets, particularly the role of crystal orientation fabrics in large-scale ice flow, subglacial hydrology, and climate-driven ice mass changes. His recent work includes modeling firn densification, simulating crystal fabric evolution in polycrystalline ice and olivine, and analyzing the mechanical strength of glacier ice using field and remote sensing data. His publications span high-impact journals such as Nature Communications , Journal of Glaciology , and The Cryosphere . He collaborates extensively with international teams and contributes to major polar research initiatives, including the EastGRIP ice core project and Greenland Ice Sheet modeling efforts.

Hiromichi Suetaniمشاهده پروفایل

استاد

• Neuroinformatics
• Computational Neuroscience
• Nonlinear Dynamics
• +۸ مورد دیگر

Hiromichi Suetani is a Professor at the Department of Co-creative Science and Engineering , Faculty of Science and Engineering , Oita University . He holds concurrent positions as an Affiliated Researcher at the International Research Center for Neurointelligence , University of Tokyo , and has previously worked at institutions including RIKEN Center for Brain Science , ATR , and Kagoshima University . His research bridges nonlinear dynamics , machine learning , and neuroscience . Education : PhD in Informatics from Kyoto University, with research at the Institute of Statistical Mathematics and graduate training in Mathematical Engineering at the University of Tokyo. Research Society Affiliations : Society for Neuroscience Japan Neuroscience Society Physical Society of Japan His research focuses on decoding brain information and controlling complex systems using techniques like reservoir computing , topological data analysis , and nonlinear modeling . He investigates human EEG individuality , collective patterns in active matter , and chaotic synchronization in dynamical systems. Recent work with collaborators explores hybrid prediction models combining anticipating synchronization and echo state networks to improve time series forecasting in chaotic systems. Earlier studies analyzed EEG consistency under noisy stimuli and applied manifold learning to map brain oscillations. His teaching includes mechanics , computational physics , and nonlinear science at Oita University. He has secured competitive funding from the Japan Society for the Promotion of Science for projects on critical computation systems , stable chaos in neural networks , and topological analysis of biological data .

Adam Simon Chatterleyمشاهده پروفایل

پژوهشگر

• Superfluid Helium Nanodroplets
• Two-Dimensional Infrared Spectroscopy
• Molecular Alignment Dynamics
• +۳ مورد دیگر

Adam Simon Chatterley is a researcher at the Department of Physics and Astronomy, Aarhus University, Denmark. His work spans interdisciplinary fields including physics, chemistry, and molecular biology. Key research areas include: Superfluid Helium Nanodroplets Two-Dimensional Infrared Spectroscopy Molecular Alignment Dynamics Peptide Bond Stability Aerosol Particle Analysis Nonlinear Light Scattering Recent publications highlight his contributions to: Protein hydration and interfacial coupling Quantum control of molecular rotation UV-induced molecular stability Superfluid droplet generation Aerosol density detection limits Contact: aschatterley@phys.au.dk

Søren Wengel Mogensenمشاهده پروفایل

دانشیار

• Causal Inference
• Stochastic Processes
• Survival Analysis
• +۳ مورد دیگر

Søren Wengel Mogensen is an Associate Professor at the Department of Finance, Copenhagen Business School, Denmark. His research focuses on developing advanced statistical and machine learning methodologies for complex systems analysis. Research Interests: Dr. Mogensen's work spans causal inference, stochastic processes, survival analysis, and time-series modeling. Key themes include: Causal discovery algorithms for industrial and biological systems Graphical representations of dependencies in high-dimensional data Time-varying mediation in survival contexts Bayesian networks for cascade modeling Publication Trends: His recent articles (2021-2025) demonstrate a strong emphasis on theoretical-statistical innovation with applications in healthcare, industrial monitoring, and computational finance. Dominant methodologies include kernel-based independence tests, continuous-time Bayesian networks, and constrained stochastic process modeling.

Michael Pedersenمشاهده پروفایل

استاد

• Applied Mathematics
• Computer Science
• Partial Differential Equations
• +۸ مورد دیگر

Michael Pedersen is a full-time Professor at the Department of Applied Mathematics and Computer Science (DTU Compute), Technical University of Denmark. His research focuses on interdisciplinary applications of mathematics in climate modeling, disease dynamics, and population systems. Expertise: Partial differential equations, control theory, stochastic processes, and numerical simulation Key Collaborations: Active projects since 1996 with PhD supervision in PDE-constrained optimization and stochastic control Research Trends : Recent work examines climate change impacts on dengue transmission (65% focus), noise pollution effects on population dynamics (50%), and activator-inhibitor pattern formation (100%). Supervision : Mentored PhD candidates including Lars H. Christiansen and Martin Hagdrup, with expertise in predictive control models and artificial pancreas systems.

Niklas Grollمشاهده پروفایل

پژوهشگر

• Process System Engineering
• Process Safety
• Process Control
• +۶ مورد دیگر

Niklas Groll is a Researcher and PhD Student in the Department of Chemical and Biochemical Engineering at the Technical University of Denmark (DTU). He is affiliated with the KT Consortium and the PROSYS - Process and Systems Engineering Centre. His research focuses on hybrid modeling for risk monitoring in industrial processes, combining first-principles and data-driven approaches to enhance process safety and efficiency. Education: BSc in Mechanical Engineering (RWTH Aachen University, 2017–2022) and MSc in Chemical Engineering (RWTH Aachen University, 2022–2024). Exchange studies at Lund University, ETH Zürich, and NTNU Trondheim. His master’s thesis addressed dynamic scheduling with nonlinear model predictive control for biodiesel production. Research Interests: Hybrid modeling, process safety, renewable energy integration, and risk monitoring in emerging processes like green hydrogen and biofuels. His work bridges traditional mechanistic models with machine learning to address complex industrial challenges. Current Project: ProSafe DC-2, a 3-year PhD project (2024–2027) supervised by Prof. G. Sin and Prof. J.K. Huusom, targeting hybrid methodologies for risk monitoring in renewable hydrogen processes. Labs/Teams: Active in the PROSYS research group at DTU, collaborating with industry and academic partners through the ProSafe initiative.

Björn Andresenمشاهده پروفایل

استاد

• Power Systems
• Renewable Energy
• Electrical Engineering
• +۵ مورد دیگر

Björn Andresen is a Professor at the Department of Electrical and Computer Engineering at Aarhus University, specializing in Electrical Energy Technology. His primary affiliation is the university, with additional affiliations not explicitly detailed. He is actively involved in research and standardization related to power systems, renewable energy integration, and grid compliance. Research Interests: His work focuses on advanced control systems for power electronics, grid stability enhancement, wind energy systems, and the application of artificial intelligence in energy management. He has contributed significantly to international standards like IEC 61400-21-4, addressing grid compliance for wind turbines and power-to-X plants. Key Projects: He leads or contributes to projects such as the National Energy System Transition (2024–2028), Next Energy (2023–2026), and Upscaling Key Power-to-X SOEC Electrolysis Solutions (2022–2023). These projects aim to advance energy transition technologies, grid resilience, and renewable energy integration. Publications Trends: His recent work emphasizes hybrid power plants, digital twins for energy systems, and adaptive control strategies using AI. He collaborates extensively on fractional-order control systems and transient stability improvements in multi-machine power grids. Grants and Labs: His research is supported by major funding initiatives, though specific grant details are not provided. His lab focuses on experimental setups for testing wind turbine components and grid compliance under real-world conditions.