جست‌وجوی استاد و پژوهشگر

Tobias Kasper Skovborg Ritschelمشاهده پروفایل

استادیار

• Predictive Control
• Nonlinear Modeling
• Energy Systems Optimization
• +۵ مورد دیگر

Tobias Kasper Skovborg Ritschel is an Assistant Professor (Tenure track) at the Department of Applied Mathematics and Computer Science , Technical University of Denmark. His research focuses on predictive control, nonlinear modeling, and optimization of energy systems, with significant contributions to demand-side flexibility and time-delay systems. Current affiliations: Dynamical Systems Center, Center for Energy Resources Engineering Active projects: 4 ongoing PhD projects in energy systems and control Recent research: 2025 publications on wind turbine diagnostics, time-delay identification, and smart energy price signaling Research Trends : His work spans: Wind turbine structural health monitoring using acoustic emission analysis Mathematical control systems for renewable energy integration Optimization algorithms for industrial electrification Digital twin models for Power-to-X and carbon capture systems Cross-disciplinary diabetes modeling applications Supervision : Currently supervising 5 PhD candidates in energy systems optimization and control theory. Peer Review : Active reviewer for: IEEE Transactions on Control Systems Technology IEEE Transactions on Automatic Control IEEE Conference on Control Technology and Applications

Nikolay Dimitrovمشاهده پروفایل

پژوهشگر

• Wind Energy
• Structural Integrity
• Reliability Analysis
• +۳ مورد دیگر

Nikolay Dimitrov is a Senior Researcher at the Department of Wind and Energy Systems , Technical University of Denmark (DTU). His work focuses on wind turbine structural integrity, reliability analysis, and data-driven optimization techniques. Active in Wind Energy and Structural Reliability research Developed open-source tools for Mann turbulence modeling and virtual load sensors Supervised multiple PhD students in projects related to floating wind turbines and uncertainty quantification His research spans surrogate modeling , fatigue load analysis , and environmental condition characterization for offshore wind turbines. Key contributions include machine learning-based load monitoring systems and frameworks for probabilistic design . Scientific recognition includes the Best Poster award (2019). Current projects involve reinforcement learning for wind farm control and federated digital twins for offshore wind energy .

Jenni Rinkerمشاهده پروفایل

دانشیار

• Wind Turbine Design
• Aeroelasticity
• Control Systems
• +۴ مورد دیگر

Jenni Rinker is an Associate Professor in the Department of Wind and Energy Systems at the Technical University of Denmark (DTU). Her research focuses on wind turbine dynamics, aeroelasticity, and control systems, with particular emphasis on improving turbine reliability and optimizing energy output through advanced measurement techniques like lidar technology. She leads initiatives such as the DigiWind project and actively collaborates on international efforts like the IEA Wind 15 MW Reference Turbine. Dr. Rinker teaches courses including LAC (46320) and PiWE (46120), emphasizing hands-on project management and student supervision. PhD Supervision: Esteban Soto Sagredo (Flow-field estimation), Seyed Mozafari (Fatigue Reliability), Mikkel G. Pedersen (Structural Degradation) Key Projects: DigiWind (2024–2027), PyConTurb (Python-based turbulence tools), Turbulence-Driven Design Optimization Her work contributes to UN Sustainable Development Goals, notably SDG7 (Affordable and Clean Energy). Recent research highlights include wind field reconstruction using lidar data, fatigue reliability analysis, and aeroelastic stability in floating turbines. She has supervised over 15 student projects, emphasizing structured weekly reporting and milestone tracking through DTU’s CampusNet system.

Martin Otto Laver Hansenمشاهده پروفایل

دانشیار

• Wind Turbine Engineering
• Airfoil Design
• Rotors
• +۳ مورد دیگر

Martin Otto Laver Hansen is an Associate Professor at the Department of Wind and Energy Systems in the Technical University of Denmark . His expertise spans wind turbine design, aerodynamics, and computational fluid dynamics. Research highlights include vortex generators, high Reynolds number flows, and vertical/horizontal axis wind turbines. Current projects: TIP and Root Vortex Generators , FAST LES model for floating wind farms , and NEXTgenT offshore rotor design . Research focuses on boundary layer control, dynamic stall mitigation, and advanced numerical modeling (e.g., Lattice-Boltzmann methods, actuator line models). Recent work emphasizes vibration control, unsteady flow conditions, and efficiency optimization for 25+ MW turbines. Publications highlight trends in Wind Energy and Fluid Mechanics , particularly computational methods for turbine design and high Reynolds number challenges. Collaborations span offshore wind engineering and sustainable energy systems. Scientific award: Best paper recognition at 2009 International Symposium on Energy, Informatics, and Cybernetics. Active supervising PhD students and participating in EU-funded projects like DigiWind and Horizon Europe . Collaborations involve Denmark, Germany, and international institutions.

Taeseong Kimمشاهده پروفایل

دانشیار

• Wind Turbine Design
• Aeroelasticity
• Control Systems
• +۵ مورد دیگر

Taeseong Kim is an Associate Professor in the Department of Wind and Energy Systems at the Technical University of Denmark (DTU). His research focuses on wind turbine design, aeroelasticity, hydrodynamics, and control systems, with a particular emphasis on floating offshore wind turbines and icing effects. He leads major projects such as the Horizon Europe-funded NEXTgenT, aiming to develop over 25 MW offshore wind turbine rotors. His work contributes to UN Sustainable Development Goals related to affordable and clean energy. Kim’s expertise includes rotor dynamics, blade structural analysis, and advanced simulation tools. He has pioneered innovations like segmented blade concepts and partial pitch control systems for large turbines. His research integrates computational fluid dynamics (CFD), finite element analysis (FEA), and machine learning for structural health monitoring and damage detection. Key projects include DTWO (federated digital twins for offshore wind) and DigiWind (digital masters training in wind energy systems). He collaborates internationally through initiatives like IEA Wind Task 54 on cold-climate wind energy. His publications span aeroelastic stability, icing simulation, and hydrodynamic control strategies, with over 96 peer-reviewed articles and 19 active/funded projects. Kim’s work addresses challenges in turbine stability, load reduction, and environmental resilience, positioning him as a leader in advancing next-generation wind energy systems.

Alan Wai Hou Lioمشاهده پروفایل

دانشیار

• Wind Turbine Control
• Predictive Modeling
• Renewable Energy Systems
• +۲ مورد دیگر

Alan Wai Hou Lio is an Associate Professor at the Technical University of Denmark's Department of Wind and Energy Systems, specializing in wind turbine control and energy system dynamics. His research develops advanced control strategies to optimize energy capture and reduce structural loads in wind farms. Research Focus: Predictive wind turbine control algorithms LiDAR-assisted flow measurement techniques Offshore floating turbine dynamics Real-time estimation methods for turbulent flows His publications demonstrate consistent focus on experimental validation of control theories, with recent work emphasizing field implementation challenges. Current projects include DigiWind (digital wind energy systems) and PowerKey (wind plant optimization). Education: PhD in Automatic Control (Sheffield, 2017), M.Eng in Electrical Engineering (Imperial College London, 2012).

Søren Bredmose Simonsenمشاهده پروفایل

دانشیار

• Energy Materials
• Catalysis
• Nanomaterials
• +۳ مورد دیگر

Søren Bredmose Simonsen is an Associate Professor at the Technical University of Denmark (DTU Energy), specializing in advanced materials characterization for energy conversion and storage technologies. He leads research focused on developing in situ methods using Transmission Electron Microscopy (TEM) and X-ray tomography to study electrochemical systems like solid oxide electrolysis cells (SOECs), fuel cells, batteries, and solar cells. His work emphasizes understanding material behavior under operational conditions, particularly through his ERC Starting Grant project HEIST, which explores high-temperature electrochemical investigations of model SOECs. Research interests include catalytic materials for energy applications, nanomaterials synthesis, and the structural analysis of energy-related materials. He collaborates with industry partners like Haldor Topsøe A/S and Amminex A/S, and his competencies span a range of experimental techniques, including in situ TEM and X-ray CT methods. He is part of the 3D Imaging Center (3DIM) project, enhancing DTU's capabilities in advanced microscopy. Key projects involve PhD students focusing on electrode dynamics in SOECs, porous electrodes for redox flow batteries, and nanocatalysts for hydrogen production. His contributions align with UN Sustainable Development Goals related to affordable and clean energy (SDG 7) and industry innovation (SDG 9).

Daesung Parkمشاهده پروفایل

استادیار

• Material Science
• Oxide Membranes
• Thin Films
• +۲ مورد دیگر

Daesung Park is an Assistant Professor in the Department of Energy Conversion and Storage at the Technical University of Denmark (DTU). Research specializes in oxide materials science, including freestanding oxide membranes, thin film fabrication, and heterojunctions. Current projects investigate defect engineering in oxides and advanced characterization techniques. Publications demonstrate expertise in oxide membrane synthesis and magnetic property analysis. Recent work focuses on innovative fabrication methods and quantitative imaging techniques for oxide materials.

Felix Trierمشاهده پروفایل

دانشیار

• Oxide Spintronics
• Two-Dimensional Electron Gases
• Quantum Phenomena
• +۳ مورد دیگر

Felix Trier is a Senior Researcher (Associate Professor) leading oxide spintronics research at DTU's Department of Energy Conversion and Storage. He holds PhD and MSc degrees with a focus on quantum transport in oxide interfaces. His pioneering work includes the first demonstration of quantum Hall effects in SrTiO3 heterostructures, development of record-mobility 2D electron gases, and foundational studies on spin-charge interconversion. His research explores quantum phenomena in oxide interfaces, electron mobility optimization, nanofabrication of oxide devices, and emergent properties of confined electron systems. Current projects investigate superconductivity in high-mobility interfaces and spin-orbitronic applications. Publications emphasize condensed matter physics, materials science, and nanoelectronics, with frequent appearances in Nature and Physical Review journals. Research consistently addresses quantum transport, oxide interfaces, and spin-dependent phenomena. Active in PhD supervision, he mentors students on projects like 'Freestanding oxide films for spin-charge conversion' and 'Growth optimization in high-mobility interfaces'. Secured multiple grants including doctoral and postdoctoral fellowships focused on quantum oxide phenomena.

Vincenzo Espositoمشاهده پروفایل

استاد

• Material Science
• Functional Oxides
• Electromechanical Properties
• +۲ مورد دیگر

Vincenzo Esposito is Professor at DTU's Department of Energy Conversion and Storage, leading research on functional oxides for electromechanical applications. His work focuses on defect engineering in materials like ceria to achieve novel electrostrictive properties. Current projects include developing micro-mechanical pumps and lead-free piezoceramics. His group utilizes advanced manufacturing like 3D printing to create energy conversion devices and acoustofluidic systems.

Stela Canulescuمشاهده پروفایل

پژوهشگر

• Thin-Film Photovoltaics
• Materials Science
• Solar Energy
• +۵ مورد دیگر

Stela Canulescu is a Senior Researcher and Group Leader in the Department of Electrical and Photonics Engineering at the Technical University of Denmark (DTU). She holds a PhD from the Swiss Federal Institute of Technology Zurich (2004–2008). Her primary research focuses on thin-film photovoltaics, semiconductor materials, and nanomaterials, with a particular emphasis on pulsed laser deposition techniques and optoelectronic device development. Education: PhD in Thin-Film Photovoltaics, Swiss Federal Institute of Technology Zurich (2004–2008) Research Interests: Development of high-efficiency photovoltaic materials (e.g., CZTS, MoS2, and 2D layered materials) Optimization of thin-film deposition processes (e.g., pulsed laser deposition, sputtering) Characterization of nanomaterials for optoelectronic applications Thermochromic materials and energy-efficient systems Recent Research Trends: Her recent work emphasizes 2D materials (e.g., MoS2 nanoribbons) for photodetectors and photovoltaics, as well as novel approaches to enhance the performance and stability of chalcogenide solar cells. She has also explored hybrid tandem solar cell architectures and advanced interface engineering techniques. Awards: 2023: Prize for 'Developing Ultra-Thin Photodetector Based on Molybdenum Disulfide Nanoribbons' Advising & Grants: Supervising multiple PhD students (e.g., H.M. Gupta, A.M.P. Enevoldsen) on projects involving 1D structured materials and photonic crystallization. Principal Investigator on projects like 'Junctionless Nanostructure Solar Cells' (2024–2026) and 'New Tunable n-Type Material for Solar Cells' (2023–2026). Labs & Teams: Leads the Thin-Film Photovoltaics group at DTU, collaborating globally on topics such as semiconductor interfaces and nanomaterial synthesis.

Venkata Karthik Nadimpalliمشاهده پروفایل

پژوهشگر

• Additive Manufacturing
• Laser Powder Bed Fusion
• Stainless Steel
• +۲ مورد دیگر

Dr. Venkata Karthik Nadimpalli serves as a Senior Researcher in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), specializing in advanced metal additive manufacturing processes. His work focuses on laser powder bed fusion (LPBF) for stainless steel components, addressing critical challenges in microstructure control and material performance. Research interests center on additive manufacturing process-microstructure-property relationships, with particular expertise in stainless steel 316L/17-4PH systems. Key investigation areas include cell structure formation , thermal stability during post-processing, melt pool dynamics , and interface engineering in functionally graded materials. His fingerprint analysis confirms dominant specialization in powder bed fusion (100%) and laser powder bed fusion material science (90%). Dr. Nadimpalli actively supervises five PhD projects: Precision Polishing Miniature AM Impellers (2024-2027), Open-Architecture LPBF for Microstructural Engineering (2023-2026), Additive Manufacturing Farm (2023-2026), Microstructure in Stainless Steel 316L (2022-2025), and Next-generation materials for selective laser sintering (2022-2025). He contributes to DTU's Additive Manufacturing research group (amgroup@construct.dtu.dk) with funding spanning precision engineering and microstructural optimization initiatives.

Thomas Bligaardمشاهده پروفایل

استاد

• Heterogeneous Catalysis
• Density Functional Theory
• Machine Learning in Materials Science
• +۵ مورد دیگر

Thomas Bligaard is a Professor at the Technical University of Denmark (DTU) in the Department of Energy Conversion and Storage. His research focuses on atomic-scale materials modeling, heterogeneous catalysis, and computational methods such as density functional theory (DFT), machine learning, and micro-kinetic modeling. He leads the Atomic Scale Materials Modelling group and contributes to the Center for Catalysis Theory and the VISION Center for Visualizing Catalytic Processes. Research interests include designing functional materials for energy applications, optimizing catalytic processes, and advancing computational tools like the GPAW software package. His work addresses challenges in CO2 reduction, electrocatalysis, and catalyst discovery. Collaborations span theoretical and experimental studies, with a focus on sustainable energy solutions aligned with UN Sustainable Development Goals. Recent projects include benchmarking water adsorption on metal surfaces, developing machine learning approaches for catalyst optimization, and imaging atomic processes in catalysts using advanced microscopy techniques. He supervises multiple PhD students in catalysis and computational materials science. Bligaard has published extensively on topics ranging from theoretical catalysis to computational methods, with a strong emphasis on bridging theory and experimental validation. His research aims to accelerate the discovery of clean energy materials through interdisciplinary approaches.

Jakob Schiøtzمشاهده پروفایل

استاد

• Nanoparticles
• Molecular Dynamics
• Density Functional Theory
• +۳ مورد دیگر

Jakob Schiøtz is a Professor at the Department of Physics, Technical University of Denmark (DTU), leading the theory group in the Center for Individual Nanoparticle Functionality (CINF). His research focuses on nanoparticle shape-functional relationships, hot-electron catalysis, and nanocrystalline materials' mechanical properties. He coordinates the Master's program in Physics and Nanotechnology and has advised numerous PhD students. Education includes a PhD in Physics (DTU, 1992–1995), M.Sc. in Electronics Engineering/Applied Physics (DTU, 1986–1991), and postdoctoral experience at Washington University (1995–1996). He holds teaching qualifications in research management and didactics. Research interests span nanomaterials, catalytic processes, and computational methods like molecular dynamics and density functional theory. His work contributes to sustainable energy solutions through advanced material characterization and nanotechnology. Key grants include a Danish National Research Foundation Center (2005–2010) and collaborations with industry partners. Awards include the P. Gorm-Petersen Memorial Award (1997). Schiøtz maintains the open-source ASAP molecular dynamics software and actively reviews for top journals. His lab focuses on in situ electron microscopy, machine learning for image analysis, and nanoscale material dynamics. Projects involve catalytic nanoparticles, defect formation in 2D materials, and thermal transport phenomena.

• Computational materials discovery
• 2D materials
• Quasiparticles
• +۳ مورد دیگر

Kristian Sommer Thygesen is a Professor and Section Leader at the Department of Physics , Technical University of Denmark (DTU), leading the Computational Atomic-scale Materials Design (CAMD) group. Research Interests: Dr. Thygesen specializes in first-principles methods for materials properties, with ongoing projects in: Quantum emitters in 2D materials Van der Waals heterostructures Machine learning for materials discovery Many-body perturbation theory Supervision: Actively supervises multiple PhD students in projects related to computational materials design and quantum technologies.