جست‌وجوی استاد و پژوهشگر

Hans-Peter Christian Schwefelمشاهده پروفایل

استاد

• Smart Grids
• Communication Networks
• Energy Distribution
• +۳ مورد دیگر

Hans-Peter Christian Schwefel is a Professor in the Department of Electronic Systems at Aalborg University, affiliated with The Technical Faculty of IT and Design. He specializes in smart grids, communication networks, and cyber-physical systems. His research focuses on improving grid reliability through data-driven methods, anomaly detection, and secure communication. Key projects include ReDistXAI (AI for power consumption analysis), Net2DG (networked data for electricity grids), and BigIoT (IoT interoperability). He leads GridData GmbH and supervises 6 PhD students, including Christian Jensen. Recent publications address anomaly detection in distribution grids, control systems for cyber-physical grids, and fault localization using neural networks. His work spans interdisciplinary areas like cybersecurity, energy distribution, and machine learning applications.

Chen LIمشاهده پروفایل

دانشیار

• Human Robot Interaction
• Industrial Robotics
• AI for Manufacturing
• +۳ مورد دیگر

Chen LI is an Associate Professor in the Department of Materials and Production at Aalborg University, Denmark. His work focuses on advancing smart manufacturing through AI-driven robotics and 5G-enabled production systems. He leads research projects involving historical figure emulation in robotics, human-robot interaction, and AI at the edge for industry 5.0. His interdisciplinary approach bridges software architecture, industrial automation, and cognitive modeling. Key projects: Time-Traveling Conversations (Villum Foundation), Human Robot Interaction dialog systems, and AI REDGIO 5.0 for SME manufacturing Collaborations span institutions like Seoul National University and industry partners Research interests include: AI ethics in dialogue systems Edge computing for real-time manufacturing Virtual assistant architectures Robot speaking style imitation Over 70 publications (2009-2025) span topics like anomaly detection frameworks, defect prediction models, and hybrid power system analysis. Active in conferences such as HRI2021 and workshops on AI in performing arts.

Morten Grud Rasmussenمشاهده پروفایل

دانشیار

• Renewable Energy Systems
• Energy Engineering
• Power Systems
• +۳ مورد دیگر

Morten Grud Rasmussen is an Associate Professor at the Department of Mathematical Sciences, Faculty of Engineering and Science, Aalborg University. His research spans renewable energy systems, mathematics education, and problem-based learning (PBL). He has contributed to projects like 'myPBL-VRMath: Micro-PBL in Mathematics using Virtual Reality' (2024-2025) and 'PBL og matematik: Hvordan kan PBL fungere på universitetets grundfag?' (2018-2019). His work emphasizes integrating VR for abstract mathematics teaching and optimizing renewable energy systems. Collaborations include projects on near-optimal solutions for highly renewable energy systems and pedagogical innovations in engineering education. Research interests include energy system flexibility, socio-economic analysis of renewables, and PBL methodology. He has published on topics ranging from solar power generation to interdisciplinary curriculum design. His recent work explores student experiences with VR-based learning and PBL contextualization in mathematics education. Notable contributions include modeling renewable energy alternatives and exploring storage synergies in pan-European grids. He actively participates in educational workshops and collaborates with institutions like the University of Agder, Norway.

Kim Sørensenمشاهده پروفایل

دانشیار

• Energy Systems
• Thermodynamics
• Heat Transfer
• +۷ مورد دیگر

Kim Sørensen is an Associate Professor at Aalborg University (AAU), affiliated with the Department of Thermal Engineering within The Faculty of Engineering and Science. He also contributes to AAU Energy and the BLUE – Marine & Maritime Research initiative. His academic background includes a Graduate Diploma in Business Administration from AAU (1992) and an MSc in Mechanical Engineering from the Technical University of Denmark (1986). His research focuses on energy systems, thermodynamics, heat transfer, and marine exhaust gas cleaning technologies, with emphasis on computational fluid dynamics (CFD), particle dynamics, and system engineering. Education : MSc in Mechanical Engineering (Physic and Energy), Technical University of Denmark (1986) Graduate Diploma in Business Administration, Aalborg University (1992) Key Projects : Geothermal based Optimized Energy Systems (2022–2025) Integration of Large Scale Heat Pumps in the Energy System (2021–2022) Separation of Particulate Matter from Marine Scrubber Washwater (2020–2022) His research interests span thermal energy systems, including boiler technology, waste heat recovery, and marine scrubber design. Recent work involves optimizing packed bed scrubbers for ocean-going vessels, analyzing turbulent flow dynamics, and advancing smart grid infrastructure for water supply systems. He has supervised 4 PhD students and contributed to over 60 research outputs since 2002. Notable collaborations include work on district heating concepts, thermal energy storage, and emission reduction technologies. His projects often bridge engineering and environmental sustainability, addressing challenges in energy efficiency and marine pollution control.

Laurynas Siksnysمشاهده پروفایل

پژوهشگر

• Energy Engineering
• Energy Flexibility
• Renewable Energy Sources
• +۳ مورد دیگر

Laurynas Siksnys is an Academic Officer at the Department of Computer Science, Aalborg University, affiliated with The Technical Faculty of IT and Design. He is part of the Daisy - Center for Data-intensive Systems and the Data Engineering, Science and Systems group. His research focuses on energy systems, particularly energy flexibility, smart grids, and renewable energy integration. Education details: Not explicitly provided in the text. His work emphasizes scalable flexibility modeling in energy systems, including device-independent FlexOffer frameworks and uncertainty-aware approaches. He has contributed to projects like GOFLEX, demonstrating flexibility aggregation for 500+ prosumers across Europe. His research bridges technical systems and user expectations through participatory design studies. Notable projects include the EU-funded GOFLEX and MIRABEL initiatives addressing energy demand distribution and data collection systems. He collaborates extensively in international consortia, including the IT4BI-DC Erasmus Mundus Doctoral College. He has advised on projects involving energy flexibility trading mechanisms and participated in grant-funded research spanning 2010-2023. His lab affiliations include Daisy Center and data engineering teams focused on energy system optimization.

Anders Læsø Madsenمشاهده پروفایل

استاد

• Bayesian Networks
• Probabilistic Inference
• Control Room Engineering
• +۳ مورد دیگر

Anders Læsø Madsen is a Professor at the Department of Computer Science , part of The Technical Faculty of IT and Design at Aalborg University . His research focuses on probabilistic graphical models, with a particular emphasis on Bayesian networks and their applications in industrial and environmental domains. Current affiliation: Aalborg University Research areas: Bayesian networks, probabilistic inference, decision support systems, data stream modeling His recent work spans control room engineering , where AI systems aid human operators, and environmental risk assessment using probabilistic models of pharmaceutical impacts. He also contributes to artificial intelligence in power grid monitoring , addressing anomaly detection through Bayesian reasoning. Publications from 2024-2025 demonstrate interdisciplinary applications, including electricity grid data validation , explainable AI frameworks , and pharmaceutical risk modeling . These works integrate probabilistic methods with domain-specific challenges in energy systems, industrial automation, and environmental science.

Jose Angel Leiva Vilaplanaمشاهده پروفایل

پژوهشگر ارشد

• Digitalization
• Cost-Benefit Analysis
• Smart Grid
• +۳ مورد دیگر

Jose Angel Leiva Vilaplana is a Research Fellow at the Technical University of Denmark (DTU), affiliated with the Department of Engineering Technology and Didactics. He completed his PhD at DTU as a Marie Skłodowska-Curie Early Stage Researcher (2021-2025), focusing on cost-benefit modeling for energy digitalization. His research addresses UN Sustainable Development Goals through work in smart grids and sustainable energy transitions. Research Interests: Leiva Vilaplana specializes in quantitative analysis of digital transformation in energy systems. Key areas include: Dynamic cost-benefit modeling for grid investments and digital solutions Decision-making frameworks under uncertainty in electricity distribution Regulatory policy design for power grid modernization System dynamics applied to energy sector transitions Risk assessment and optimization in smart grids Publication Trends: His 15 most recent articles (2021-2025) demonstrate a consistent focus on energy digitalization, with emphasis on system dynamics, regulatory economics, and open-source modeling. Research evolves from technical evaluations (sensor placement, substation automation) to policy-driven analyses (barrier mitigation, regulatory frameworks), reflecting applied interdisciplinary work. Awards and Honors: Marie Skłodowska-Curie Early Stage Researcher Fellowship (2021-2025) Projects: He led the PhD project "Cost benefit assessment to inform on competitiveness of increased digitalization in energy sector" (2021-2025), developing system-dynamics models to evaluate economic impacts of grid digitalization. The project involved collaborations across European institutions and generated multiple peer-reviewed publications. Collaborations: Works within DTU's energy research network and the InnoCyPES consortium, focusing on interdisciplinary solutions for sustainable energy systems. No dedicated lab mentioned, but contributions align with DTU's strategic initiatives in green technology.

Claus Melvadمشاهده پروفایل

استاد

• Mechatronics
• Robotics
• Metrology
• +۶ مورد دیگر

Claus Melvad is a Professor at the Department of Mechanical and Production Engineering, School of Engineering, Aarhus University. His primary research focuses on developing robotic systems and metrology equipment for extreme environments, including Arctic and rainforest regions. Expertise: Robotics, Metrology, Autonomous Vehicles, Sensor Systems Affiliation: Aarhus University School of Engineering Research Highlights: Melvad specializes in creating rugged, low-cost instruments for environmental monitoring. His work includes: Autonomous drones for biodiversity and disease monitoring in tropical regions Robotic ocean profilers for polar environments Modular autonomous surface vehicles (ASVs) for climate research Custom sensor systems for extreme condition calibration Publication Trends: Recent projects emphasize drone technology for remote biodiversity monitoring, low-cost Arctic instrumentation, and autonomous sampling systems. Keywords include environmental robotics, sensor development, and extreme environment engineering. Projects: Lead initiatives like GlacierPro (autonomous methane profiler), DISCO (student CubeSat program), and NORDACC (autonomous surface vehicle).

Riccardo Rivaمشاهده پروفایل

پژوهشگر

• Wind Turbine Engineering
• Aeroelastic Stability
• Structural Analysis
• +۳ مورد دیگر

Riccardo Riva is a Special Consultant at the Department of Wind and Energy Systems at the Technical University of Denmark , specializing in wind turbine engineering and aeroelastic stability analysis. His work focuses on combining high-fidelity numerical modeling with machine learning for wind farm optimization, structural response prediction, and control system development. Key research areas: Wind turbine structural dynamics, surrogate modeling, and data-driven control systems Active supervisor in 4 PhD projects (2024-2027) related to wind farm co-design and structural modeling Recent publications address uncertainty propagation, vortex-induced vibrations, and multi-fidelity modeling approaches His research contributes to UN Sustainable Development Goals 7 (Affordable Energy) and 9 (Infrastructure Innovation). Current projects emphasize digital twin technology and floating offshore wind farm optimization.

Markus Gümoes Holmمشاهده پروفایل

پژوهشگر

• Mechanical Engineering
• Biomedical Materials
• Finite Element Analysis
• +۶ مورد دیگر

Markus Gümoes Holm is a PhD student and researcher at the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). His work focuses on computational modeling in mechanical and biomedical engineering, particularly in applications involving structured grids and finite element analysis. Education: Enrolled as a PhD student since 2023. Research Interests: Markus specializes in Structured Grid Modeling , Finite Element Analysis , and Energy Absorption through inverse design techniques. His work bridges mechanical engineering and biomedical materials, with applications in surgical simulations and grid-based optimization. Recent Publications: His 2024 paper on incision and suture modeling demonstrates expertise in grid-based numerical methods and biomedical mechanics. Projects: Actively involved in the project Maximizing Energy Absorption by Inverse Design (2023–2026) as a PhD Student, supervised by leading academics like Ole Sigmund and Niels Aage. Labs/Teams: Affiliated with the DTU Construct research group, focusing on computational mechanics and grid-based engineering solutions.

Alexander Kiesمشاهده پروفایل

دانشیار

• Electrical Engineering
• Renewable Energy
• Power Systems
• +۳ مورد دیگر

Alexander Kies serves as an Associate Professor in the Department of Electrical and Computer Engineering at Aarhus University's College of Engineering. His primary affiliation is with the Electrical Energy Technology division, where he conducts research at the intersection of renewable energy systems and electrical engineering. Dr. Kies' research interests span multiple domains within energy technology, with particular focus on renewable energy integration, power systems optimization, and wind energy applications. His work demonstrates a strong interdisciplinary approach, connecting electrical engineering principles with climate modeling and sustainable energy solutions. Recent publications indicate his growing interest in applying neural network technologies to solve complex power flow problems in renewable-dominant grids. Analysis of his publication record shows a consistent focus on practical energy solutions with economic viability considerations. His research trends indicate progression from traditional energy systems analysis toward more sophisticated computational approaches, particularly in applying artificial intelligence techniques to power system challenges. The interdisciplinary nature of his work is evident in publications spanning both engineering and agricultural domains. While specific grant information isn't detailed in the available materials, his collaborative publication pattern (typically working with 5-22 co-authors) suggests participation in substantial research projects requiring external funding. His work appears to bridge theoretical research with practical applications in sustainable energy systems.

• Electrical Engineering
• Energy Technology
• Power Systems
• +۱ مورد دیگر

Jørgen Houe Pedersen is an Associate Professor at the Department of Electrical and Computer Engineering (Electrical Energy Technology section) at Aarhus University. His primary affiliation involves research and education in electrical energy systems, with a focus on sustainable power technologies and energy infrastructure. Research Focus: His work centers on advancing electrical energy technology, including power systems optimization, renewable energy integration, grid stability, and energy conversion technologies. The Electrical Energy Technology section emphasizes innovation in sustainable energy solutions. Contact: Located at Finlandsgade 20 (Building 5120, Room 215) in Aarhus, Denmark, with direct email and phone contact details available.

Rasmus Postمشاهده پروفایل

دانشیار

• Electrical Energy Supply
• Electrical System Modelling

Rasmus Post serves as an Associate Professor in the Department of Electrical and Computer Engineering at Aarhus University, Denmark. Based at Finlandsgade 20, Building 5120, room 218 in Aarhus N, he specializes in the Electrical Energy Technology section with active engagement in power systems research and education as of his December 2023 profile update. His core research focuses on Electrical Energy Supply and Electrical System Modelling , addressing critical challenges in grid stability, renewable energy integration, and modern power infrastructure design. These specialties position his work at the forefront of sustainable energy transition efforts within Scandinavian and global contexts. Dr. Post maintains direct professional accessibility through his university email and telephone contact, reflecting his current operational role within Aarhus University's engineering faculty without indication of adjunct, visiting, or emeritus status.

Jesper Høgh Stengaard Hansenمشاهده پروفایل

دانشیار

• Electrical Engineering
• Power Systems
• Renewable Energy
• +۳ مورد دیگر

Jesper Høgh Stengaard Hansen is an Associate Professor at the Department of Electrical and Computer Engineering , Aarhus University, where he contributes to research and education in energy-focused technologies. His primary affiliation is with the Electrical Energy Technology group. Research Interests : His work spans Electrical Engineering , Power Systems , and Renewable Energy , with a focus on sustainable energy solutions, power electronics, and smart grid technologies. The Electrical Energy Technology laboratory underpins his applied research in energy conversion and storage. Contact : Direct correspondence via email at jhsh@ece.au.dk or phone at +45 51 67 03 80.

Kristian Peter Lomholdtمشاهده پروفایل

دانشیار

• Electrical Engineering
• Power Systems
• Renewable Energy
• +۳ مورد دیگر

Kristian Peter Lomholdt serves as an Associate Professor at the Department of Electrical and Computer Engineering within Aarhus University's Faculty of Technical Sciences. Based at the Herning campus (Birk Centerpark 15, Building 8003, room 3107), he is formally affiliated with the Electrical Energy Technology research group under AU Engineering. His research concentrates on Electrical Engineering with specialized focus in Power Systems and Renewable Energy integration. Key areas include Energy Conversion technologies, Smart Grids infrastructure, and Electrical Energy Technology applications. This work addresses critical challenges in sustainable energy distribution and modern power system optimization. Dr. Lomholdt operates within dedicated laboratories and workshops maintained by the Electrical Energy Technology group, which supports experimental research in electrical energy systems and contributes to Aarhus University's strategic engineering initiatives through 2029.