جست‌وجوی استاد و پژوهشگر

Kristian Sybergمشاهده پروفایل

استاد

• Risk assessment of chemicals
• Plastic pollution
• Microplastics
• +۵ مورد دیگر

Kristian Syberg is a Professor at Roskilde University's Department of Science and Environment, specializing in interdisciplinary research on chemical risk assessment and plastic pollution regulation. His work integrates toxicology, governance, stakeholder engagement, and regulatory frameworks. Key affiliations: Center for Interdisciplinary Plastic Research, TRANSITIONS – Sustainability Transitions and Environmental Planning, Centre for Maritime and Marine Research His research focuses on: Microplastics and nanoplastics in marine environments Risk communication and perception Circular economy in healthcare waste Science-policy interfaces for global plastics treaties Ecosystem services and climate mitigation Recent publications highlight trends in plastic pollution governance, medical plastic waste, and citizen science applications. Awards include the 2018 National ENERGY GLOBE Award and Roskilde University Research Communication Prize.

• Resource-Aware Machine Learning
• Data Processing on Resource-Constrained Hardware
• Storage Systems
• +۵ مورد دیگر

Pınar Tözün is an Associate Professor at the IT University of Copenhagen (ITU) since 2018, where she leads the Data, Systems, and Robotics section and the Resource-Aware Data Systems (RAD) team. Her research focuses on optimizing modern hardware (processors and storage) for data-intensive systems, with recent emphasis on resource-aware machine learning, hardware-constrained data processing, and advancements in SSD/CXL technologies. Before ITU, she was a research staff member at IBM Almaden Research Center (2015–2018), contributing to the IBM Db2 Event Store development. She holds a PhD from École Polytechnique Fédérale de Lausanne (EPFL, 2014), where she worked on the Shore-MT storage manager under Prof. Anastasia Ailamaki. She earned her bachelor’s degree in Computer Engineering from Koç University (Turkey, 2009), advised by Prof. Serdar Taşıran. Her research interests span Resource-aware machine learning, Data management systems, Edge computing, High-performance storage, and sustainable AI practices. Her work bridges hardware and software optimization, addressing challenges in distributed systems and IoT environments. She actively contributes to academic communities through workshops like DBTest and diversity initiatives in database conferences.

Jens Bo Holm-Nielsenمشاهده پروفایل

دانشیار

• Photovoltaics
• Energy Engineering
• Electric Vehicle Engineering
• +۴ مورد دیگر

Jens Bo Holm-Nielsen is an Emeritus Associate Professor at Aalborg University's Faculty of Engineering and Science, affiliated with the Esbjerg Energy Section. His research focuses on renewable energy systems, biogas production, smart grids, and energy efficiency in healthcare facilities. He holds an M.Sc. in Agricultural Engineering from the University of Copenhagen (1980). Research Interests: His work spans photovoltaics, energy storage, offshore energy systems, and sustainable building design. Notable projects include the INBIOM Innovation Network for Bioresources and the AD Booster System for enhanced biogas production. He has organized conferences on smart grids, offshore oil and gas, and wind energy. Grants and Projects: He led projects such as the 'Balancing Indoor Air Quality and Energy Efficiency in Healthcare Buildings' (2022–2024) and contributed to initiatives like 'Produced Water Treatment for Offshore Oil and Gas Production' (2015). He has secured funding from agencies like EUDP and the Danish Ministry of Education and Research. Media and Outreach: His expertise is frequently highlighted in media discussions on biogas, energy transitions, and smart metering. He emphasizes Denmark's potential to shift 100,000 households away from natural gas annually through renewable alternatives.

Lasse Schmidtمشاهده پروفایل

دانشیار

• Electro-Hydraulic Drive Networks
• Hydraulic Systems Control
• Energy Efficiency
• +۳ مورد دیگر

Lasse Schmidt is an Associate Professor at AAU Energy, part of the Faculty of Engineering and Science at Aalborg University. He holds a PhD in Robust Control of Industrial Hydraulic Cylinder Drives (2014), with expertise in electro-hydraulic drive networks and fluid power systems. His research focuses on energy-efficient control strategies for hydraulic drives in mobile machinery and industrial systems, contributing to UN Sustainable Development Goals through sustainable energy solutions. Education: M.Sc. in Mechatronics (2008), PhD from Aalborg University (2014). Professional experience includes roles at Bosch Rexroth and postdoctoral research at AAU Energy. He has supervised multiple PhD projects, including work on variable-speed drive networks and injection moulding process control. Research interests include hydraulic drive design, sliding mode control, and energy conservation. His work has resulted in over 70 peer-reviewed publications and the 2014 Best Paper Award at FFPS. Current projects involve energy-efficient excavator systems, predictive maintenance for hydraulic drives, and adaptive control for injection moulding machines. Key collaborations include work with Robert Bosch Foundation and industry partners. His lab focuses on developing novel electro-hydraulic technologies with applications in construction and manufacturing sectors.

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.

Peter Frigaardمشاهده پروفایل

دانشیار

• Coastal Engineering
• Wave Energy Conversion
• Hydraulic Structures
• +۳ مورد دیگر

Peter Frigaard is an Associate Professor at the Department of the Built Environment, Aalborg University, affiliated with the Faculty of Engineering and Science. His research focuses on coastal engineering, wave energy conversion, and hydraulic structures. He is a key member of the Ocean and Coastal Engineering Research Group. Education details are not explicitly listed, but his academic contributions span over 30 years with 318 publications and 58 research projects. Notable projects include the AquaBuOY wave energy converter and studies on coastal protection systems. Research interests include wave dynamics, physical modeling, offshore wind turbine foundations, and renewable energy systems. His work combines experimental methods with numerical simulations to address challenges in energy harvesting and coastal resilience. Recent articles emphasize wave separation methods, directional spectrum estimation, and 3D model testing of wind turbine foundations. Media engagements highlight his expertise in coastal erosion solutions and wave energy technology. He has advised 5 PhD students and actively participates in international conferences like the European Wave and Tidal Energy Conference. His lab, the Ocean and Coastal Engineering Research Group, collaborates globally on coastal protection and renewable energy projects.

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.

Sreelatha Aihloor Subramanyamمشاهده پروفایل

پژوهشگر

• Renewable Energy
• Electricity Markets
• Microgrids
• +۴ مورد دیگر

Sreelatha Aihloor Subramanyam is a Postdoctoral Researcher at the Department of Electric Power Systems and Microgrids within the Faculty of Engineering and Science at Aalborg University, Denmark. Her work centers on renewable energy integration, electricity market design, and grid resilience with emphasis on prosumer economics and industrial flexibility markets, as evidenced by her active involvement in European-funded projects and recent high-impact publications. Her research spans dynamic pricing mechanisms, microgrid operation, and socio-technical analysis of energy consumption patterns. She employs advanced methodologies including artificial intelligence and real-time grid analytics to optimize industrial energy systems, with specific focus on eco-industrial clusters and residential prosumer behavior. Current investigations include information-theoretic modeling of tariff inattention and spatial-temporal analysis of household energy usage in Danish contexts. Recent publications (2024-2025) consistently address data-driven solutions for energy market challenges, particularly AI-enhanced flexibility platforms and dynamic pricing strategies for industrial optimization. Her work leverages Danish case studies to develop grid management solutions that integrate distributed energy resources through innovative market designs, demonstrating strong alignment with real-world grid resilience requirements. Dr. Subramanyam serves as Project Applicant for the COPPER initiative (2023-2027), funded by the European Regional Development Fund to develop participative planning for electricity grid resilience. She also contributes to the LOCOMUTIVE project (2023-2024) investigating cooperative markets for value-stacking in eco-industrial clusters, highlighting her expertise in translating theoretical market models into practical grid solutions. As a core member of AAU Energy's Electric Power Systems and Microgrids research group, she collaborates extensively with Prof. Anvari-Moghaddam and international partners on renewable integration challenges. Her work significantly contributes to Aalborg University's leadership in sustainable energy systems research, particularly in market-oriented grid solutions for industrial symbiosis and residential applications.

Carsten Keßlerمشاهده پروفایل

استاد

• Geographic Information Systems
• Population Distribution
• Migration Studies
• +۷ مورد دیگر

Carsten Keßler is a Professor at the Department of Sustainability and Planning within The Technical Faculty of IT and Design at Aalborg University. He holds adjunct professorships at Bochum University of Applied Sciences (since 2021) and the Ph.D. Program in Earth and Environmental Sciences at the City University of New York (2017–2021). His research focuses on geoinformatics, population dynamics, migration patterns, and spatial data infrastructure. Education: Not explicitly listed in provided texts, but his academic rank implies doctoral qualification. Key research areas include: - Geographic Information Systems (GIS) for urban and environmental analysis. - Migration studies , including historical migration patterns and future migration scenarios for Europe. - Spatial data infrastructure development and open educational resources for GIScience. - Machine learning applications in population modeling and environmental projections. He leads/co-leads projects such as FUME: Future Migration Scenarios for Europe (2019–2023) and EO4SDG: Earth Observation and Deep Learning for Sustainable Development . His work has produced over 75 publications, with recent focus on climate resilience, urban heatwaves, and geoprivacy. Notable awards include a prize for High-resolution spatialized population projections (2017). He actively contributes to academic peer review, conferences, and educational initiatives in geoinformatics.

• Data Management
• Location-Based Services
• Trajectory Data
• +۷ مورد دیگر

Christian S. Jensen is a Professor at the Department of Computer Science, Aalborg University, affiliated with The Technical Faculty of IT and Design. His primary research focuses on data management, spatiotemporal systems, and AI-driven solutions for mobility and cyber-physical systems. He leads projects like DiCyPS (Data-Intensive Cyber-Physical Systems) and MALOT (Managing Mobility Data Quality for Location of Things). He has published over 700 papers, with recent work emphasizing time series forecasting, trajectory analysis, and edge computing. Notable contributions include frameworks like Memory Guided Transformers and TEAM for traffic prediction. His work has been recognized with awards including the IEEE TCDE Impact Award (2019) and the Order of Dannebrog (2016). Jensen actively collaborates internationally, holding roles in organizations like the Max Planck Institute and the Villum Foundation. His research bridges theory and practice, addressing real-world challenges in smart cities, energy systems, and autonomous driving.

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.

Christian Brunbjerg Jespersenمشاهده پروفایل

مدرس پاره‌وقت

• Industrial Engineering
• Mechanical Engineering
• Maintenance Management
• +۳ مورد دیگر

Christian Brunbjerg Jespersen is a PartTime Lecturer at the Department of Technology, Management and Economics at the Technical University of Denmark . He is also a PhD Student at the Department of Civil and Mechanical Engineering, focusing on maintenance scheduling optimization. His research intersects industrial engineering, mechanical engineering, and systems design. Research Interests: Offshore energy systems maintenance Performance assessment methodologies Multi-agent scheduling systems Spare parts management in transitioning industries Data-driven optimization Distributed system coordination Publication Trends: Recent works (2023-2025) emphasize maintenance system engineering, offshore energy infrastructure challenges, and algorithm-based scheduling. Collaborative efforts span departments and industries, particularly in early-stage engineering and process specification domains. Projects: Active PhD project (2023-2026): Optimization of maintenance schedules for large-scale equipment , supervised by Niels Henrik Mortensen and Torben J. R. Stidsen.

Gorm Bruun Andresenمشاهده پروفایل

دانشیار

• Renewable Energy Systems
• Energy Storage Optimization
• Nuclear Power in Decarbonization
• +۴ مورد دیگر

Gorm Bruun Andresen is an Associate Professor in the Department of Mechanical and Production Engineering at Aarhus University's College of Engineering. His research focuses on renewable energy systems, energy storage optimization, and climate change mitigation strategies. Specializes in energy system modeling Expert in Power-to-X technologies Investigates nuclear power's role in carbon-neutral systems Develops storage solutions for renewable integration Leads projects on European energy infrastructure His recent work analyzes the interplay between weather patterns and renewable energy production, exploring hydrogen storage systems, sector-coupled energy networks, and grid optimization strategies. He has contributed to multiple high-impact studies on decarbonization pathways and energy market participation models. Scientific Awards: Best Poster Award (2023) for Power-to-X integration research Active in both academic and practical energy transition initiatives, he led Aarhus University's student-employee rooftop photovoltaic project and participates in European energy system workshops. His research team explores storage technologies, market strategies, and climate impacts on energy design decisions.