جست‌وجوی استاد و پژوهشگر

Jerónimo Sánchez Garcíaمشاهده پروفایل

پژوهشگر ارشد

• High-Performance Computing
• Quantum Cryptography
• Computer Networking
• +۳ مورد دیگر

Jerónimo Sánchez García is a Research Fellow at Aalborg University's Department of Electronic Systems, part of The Technical Faculty of IT and Design. His work focuses on high-performance computing, quantum-resistant communications, and parallel algorithm development. He contributes to the Horizon Europe-funded QUARC project (2022–2026), advancing post-quantum cryptography applications. Research Interests: Optimizing MPI message matching using optimistic approaches Protocol buffer deserialization in distributed systems Quantum-safe data transmission in data centers Parallel computing techniques for drug discovery Recent Work Trends: His publications (2023–2024) emphasize hardware offloading strategies, resilient communication protocols, and parallelism in both computational science and quantum-resistant infrastructure. Notable contributions include achieving 100 Gbit/s quantum-safe data transfer highlighted in media coverage. Awards: None explicitly listed in the provided materials. Project Contributions: Active participant in QUARC project, presenting at ExaMPI24 and ICTON conferences. Collaborations include work with institutions like the University of Copenhagen and industry partners in high-performance computing. Labs/Teams: Involved in the QUARC research network and interdisciplinary teams focused on exascale computing and quantum security.

Bent Thomsenمشاهده پروفایل

استاد

• Sustainable Software Development
• Energy-efficient Computing
• Programming Language Design
• +۲ مورد دیگر

Bent Thomsen is a Professor in the Department of Computer Science at Aalborg University's Technical Faculty of IT and Design. He directs the Integrated Composites Laboratory (ICL) and serves as editor-in-chief of Advanced Composites and Hybrid Materials. His research focuses on sustainable software development challenges, energy-efficient computing systems, and programming language design. Key interests include green computing paradigms, formal methods for software verification, and optimizing energy consumption in distributed systems. Recent publications demonstrate a strong focus on environmental sustainability in computing, particularly developing methodologies for measuring and reducing energy footprints of IT systems. This aligns with his leadership in the 'Teaching AI green coding' project funded by The Villum Foundation. Professor Thomsen leads multiple research groups including the Center for Embedded Software Systems (CISS) and Center for Data-intensive Systems (Daisy), fostering collaborations across distributed systems and intelligent embedded technologies.

Sebastien Nicolas Grosمشاهده پروفایل

استاد

• Model Predictive Control (MPC)
• Reinforcement Learning
• Stochastic Optimal Control
• +۵ مورد دیگر

Prof. Sebastien Nicolas Gros is a Full Professor and Head of the Department of Cybernetics at NTNU (Norway). He holds a PhD from EPFL (2007) and has held positions at Strathclyde University, KU Leuven, and Chalmers University of Technology. His research focuses on Model Predictive Control (MPC), Reinforcement Learning, Stochastic Optimal Control, and their applications in energy systems, autonomous systems, and bioengineering. Education: PhD in Control Systems, EPFL, Switzerland (2007) Postdoc at KU Leuven (2011-2013) Associate Professor at Chalmers University (2013-2017) Research Interests: Safe Reinforcement Learning, Data-Driven MPC, Energy Management in Buildings, Wave Energy Conversion, Artificial Pancreas Systems. His work is applied to industries like Equinor, DNV, and CorPower Ocean. Collaborations: Co-supervises PhD projects on Multi-Rotor Wind Turbine Control and Artificial Pancreas Industry partnerships with Volvo, SINTEF, and Pixii Labs: ITK Smart House, Hydroponics Units, Wave Energy Testbeds Grants & Projects: MAIDOM project for smart home energy management AWEbox framework for Airborne Wind Energy National and industrial grants for control systems research

Simonas Saltenisمشاهده پروفایل

دانشیار

• Database Systems
• Spatial Data Management
• Data Engineering
• +۳ مورد دیگر

Simonas Saltenis is an Associate Professor in the Department of Computer Science at Aalborg University, affiliated with The Technical Faculty of IT and Design. He is part of the Data Engineering, Science and Systems group and the Daisy Center for Data-intensive Systems. His research focuses on database systems, spatial data management, and data engineering with a strong emphasis on temporal and spatial query optimization. He has been involved in key projects such as TimeCenter (active since 2000) and "Effective Shedding and Efficient Processing of Massive Sensor Update Loads" (2008–2011), both funded by Danish research councils. These projects explore database management systems, temporal data handling, and real-time sensor data processing. His research interests include indexing techniques for spatial and temporal data, points-of-interest retrieval, and probabilistic models for energy use prediction. He has also contributed to conference organization, serving as a general co-chair for MDM 2018. Saltenis has supervised at least one PhD student and has actively engaged in peer review for top journals including the VLDB Journal, IEEE Transactions on Knowledge and Data Engineering, and ACM Transactions on Information Systems.

Arne Skouمشاهده پروفایل

دانشیار

• Model Checking
• Real-Time Systems
• Energy Engineering
• +۷ مورد دیگر

Arne Skou is an Associate Professor in the Department of Computer Science at Aalborg University, affiliated with the Technical Faculty of IT and Design and the CISS - Center for Embedded Software Systems. His research focuses on model checking, real-time systems, energy engineering, and smart home automation. He has contributed to projects like domOS (operating systems for smart buildings), FEVER (virtual power plants), and FED (Flexible Energy Denmark). Skou’s work integrates formal methods with practical applications in embedded systems and energy flexibility. He has authored over 79 publications, including studies on machine learning for thermal dynamics and probabilistic energy forecasting in heat pumps. His research emphasizes interoperability frameworks like Arrowhead and schedulability analysis using tools such as UPPAAL. Skou has been involved in EU-funded initiatives addressing smart grids, energy optimization, and industrial IoT. His projects span from 1996 to 2023, with a focus on real-time systems, component contracts, and energy management. His contributions include middleware solutions for home automation (HomePort) and compositional analysis of hierarchical scheduling systems. Skou’s publications reflect a blend of theoretical computer science and applied engineering, particularly in embedded systems and energy systems. Key Projects: domOS, FEVER, FED, MANTIS (cyber-physical maintenance systems) Labs/Teams: CISS - Center for Embedded Software Systems Tools Developed: UPPAAL-based frameworks for schedulability analysis and model checking

Tianyi Liمشاهده پروفایل

استادیار

• Digital Twin
• Graph Neural Networks
• Energy Engineering
• +۸ مورد دیگر

Tianyi Li is a Tenure Track Assistant Professor at the Department of Computer Science, Aalborg University, affiliated with The Technical Faculty of IT and Design and the Daisy - Center for Data-intensive Systems. His research focuses on data engineering, spatiotemporal systems, and digital twins, with applications in energy, transportation, and vehicular networks. Key areas include trajectory data management, graph neural networks, compression techniques, and federated learning. He has contributed to over 37 publications, including works on digital twin frameworks for autonomous driving and smart grids, trajectory prediction systems, and efficient time series compression. His research integrates machine learning, distributed systems, and cybersecurity to address challenges in data-intensive environments. Key Projects: Digital twin-enabled voltage control, federated vehicular networks, trajectory simplification frameworks. Labs: Involved with the Daisy Center, focusing on data-centric systems and scalable solutions. Technical Expertise: Blockchain systems, energy systems optimization, and real-time data processing.

Anders Hedegaard Hansenمشاهده پروفایل

دانشیار

• Fluid Power Systems
• Wave Energy Conversion
• Hydraulic Drives
• +۲ مورد دیگر

Anders Hedegaard Hansen is Associate Professor in Energy Technology at Aalborg University's Faculty of Engineering and Science, where he leads research in fluid power systems and wave energy conversion. His work focuses on hydraulic power take-off systems, digital hydraulics, and model predictive control applications. Hansen directs multiple EUDP-funded projects including 'PTO TWIN' for wave energy converter optimization and 'DigitalPTO' for hydraulic power take-off systems. His research has produced innovations in energy-efficient hydraulic transformers and control algorithms, recognized by multiple Best Paper Awards from ASME. With over 39 publications, Hansen's work spans wave energy conversion, hydraulic drive systems, and tribomechatronics. He teaches courses in fluid power systems modeling and received Aalborg University's Teacher of the Year award in 2023 and 2010.

Manoj Kumar Dhadwalمشاهده پروفایل

پژوهشگر

• Computational Solid Mechanics
• Composite Structures
• Finite Element Modeling
• +۳ مورد دیگر

Manoj Kumar Dhadwal is a Researcher at the Technical University of Denmark (DTU), affiliated with the Department of Wind and Energy Systems Structural Design and Testing under the Wind Energy Materials and Components Division. His work focuses on computational solid mechanics, composite structures, and finite element modeling, with applications in wind energy and aerospace systems. He holds a PhD in Aerospace Engineering from Konkuk University (2016) and has held academic roles including Brain Korea 21 (BK21) Associate Professor at Seoul National University (2020–2022) and Research Professor at Konkuk University (2019–2020). His research emphasizes advanced beam theories, evolutionary optimization, and structural design for composite materials, contributing to UN Sustainable Development Goals in sustainable energy and innovation. Key projects include participation in the DigiWind initiative (2024–2027), focusing on digital mastery in wind and energy systems. His expertise spans cross-sectional analysis of composite beams, stress continuity modeling, and material optimization for wind turbine blades. Publications highlight advancements in spectral element methods for anisotropic beams, graphene-reinforced composites, and variational formulations for stress evaluation. His work bridges computational mechanics with practical engineering solutions for renewable energy systems.

Christodoulos Chatzichristodoulouمشاهده پروفایل

دانشیار

• Electrochemical Engineering
• Energy Conversion
• Materials Science
• +۳ مورد دیگر

Christodoulos Chatzichristodoulou is an Associate Professor at the Technical University of Denmark (DTU) in the Department of Energy Conversion and Storage. His research focuses on electrochemical materials and energy systems, particularly high-temperature electrolysis, catalyst development, and sustainable energy technologies. He leads projects on advanced alkaline electrolysis cells, solid oxide electrolysis, and CO₂ electroreduction, with a strong emphasis on industrial applications. Key research interests include: High-temperature and high-pressure alkaline electrolysis Development of novel electrocatalysts (e.g., cobalt oxide, NiFe-LDH) Operando TEM analysis of solid oxide cells Material stability under extreme conditions Techno-economic analysis of green hydrogen production His work contributes to UN Sustainable Development Goals related to affordable and clean energy (SDG 7) and climate action (SDG 13). Recent publications highlight advancements in CO₂ electroreduction using encapsulated Co-Ni alloys, cobalt oxide anodes for industrial electrolysis, and lanthanum-based perovskites for oxygen evolution reactions. He supervises PhD students in projects like electrode optimization for alkaline electrolyzers and ceramic component manufacturing. Collaborations include initiatives funded by the European Union, focusing on non-critical raw materials for solid oxide electrolysis cells.

• Sustainable Design
• Circular Economy
• Rebound Effects
• +۵ مورد دیگر

Daniela C. A. Pigosso is a Professor of Design for Absolute Sustainability at DTU Construct , Technical University of Denmark (DTU), and Principal Investigator of the ERC Consolidator project (REBOUNDLESS). She leads research in Sustainable Design, Rebound Effects, and Circular Economy, collaborating closely with industry. Her work aligns with UN Sustainable Development Goals, emphasizing environmental and societal impact. She holds academic positions in DTU’s Department of Civil and Mechanical Engineering and serves on advisory boards, including the Design Society and Biomimicry Institute . Her research spans over 20 international projects, yielding high-impact publications and industrial applications. Key research interests include Product-Service Systems , Manufacturing Sustainability , and Policy Design for Circular Economy . She has received prestigious awards, such as the 2024 Grundfos Prize and ACPN Medal for Young Researcher (2021). Her team focuses on preventing rebound effects and advancing absolute sustainability through innovative methodologies. Current projects include PhD supervision on rebound effect mechanisms, circular economy strategies, and carbon emission reduction. She also leads the development of decision-support tools for sustainability trade-offs and circularity assessment frameworks. Her research outputs include over 197 publications, reports, and datasets, with a focus on industry collaboration and policy impact. Notable achievements include the Resource Circularity Index and Transition of Danish Industry reports.

Rebecca Bolt Ettlingerمشاهده پروفایل

پژوهشگر

• Pulsed Laser Deposition
• Thin Film Technology
• Solar Cell Materials
• +۳ مورد دیگر

Rebecca Bolt Ettlinger is a Researcher at the National Centre for Nano Fabrication and Characterization, Technical University of Denmark (DTU). Her work focuses on pulsed laser deposition techniques and thin film materials for solar cell applications. She completed her PhD in 2017 under the supervision of Prof. Jesper Schou, studying thin-film deposition and characterization of new solar cell materials. Her research interests include material science, semiconductor materials, and nanotechnology, with an emphasis on improving solar cell efficiency through advanced fabrication methods. Key contributions involve studies on Cu2ZnSnS4/CdS solar cells, non-stoichiometric sulfides, and high-energy deposition techniques for CZTS solar cells. Ettlinger has presented her work at major conferences such as the Materials Research Society Spring Meeting (2017) and the EMRS Spring Meeting (2017). She actively participates in collaborative projects and has published extensively in journals like Solar Energy Materials and Solar Cells and Applied Physics A. Her research aligns with UN Sustainable Development Goals related to affordable and clean energy (SDG 7) and climate action (SDG 13).

Karsten Wedel Jacobsenمشاهده پروفایل

استاد

• Theoretical solid-state physics
• Computational materials design
• Electronic structure methods
• +۳ مورد دیگر

Karsten Wedel Jacobsen is a Professor in the Department of Physics at the Technical University of Denmark (DTU), specializing in theoretical solid-state physics and computational materials design. His work focuses on quantum mechanical calculations for material design at the atomic scale, with applications in nanotechnology and energy-related materials. He has led major research centers like the Center for Atomic-scale Materials Design (CAMD) and contributed to open-source software like GPAW. He holds academic leadership roles, including directing CAMD and serving on DTU's educational committees. Education: PhD in Theoretical Physics (University of Copenhagen, 1987), M.Sc. in Physics (University of Copenhagen, 1984). Research Interests : Theoretical nanoscale physics, electronic structure methods, molecular electronics, and computational materials discovery. His research bridges quantum mechanics and practical applications, such as solar energy materials and catalyst design. Publications & Trends : Over 218 publications, with recent work emphasizing machine learning in materials design, high-throughput screening for 2D materials, and computational studies of catalytic interfaces. Key themes include atomic-scale simulations, defect engineering, and energy-related material discovery. Scientific Honors : Elected Member of The Danish Academy of Natural Sciences (DNA) (1994) Elected Member of Danish Academy of Technical Sciences (ATV) (2001) Reinholdt W. Jorch's Award (2004) Advising & Grants : Supervised 25 PhD students, including current advisees working on electrosynthesis, electrocatalysis, and machine learning in quantum materials. Active in research funding through grants like the Danish Research Councils and the Lundbeck Foundation. Leads interdisciplinary projects on computational modeling and open-source software development. Labs & Teams : Director of CAMD (2010–2012), a hub for atomic-scale materials design research. Collaborates globally through networks like CAMP and MIKA Advisory Board, advancing theoretical and computational methods in materials science.

Niels Agerholmمشاهده پروفایل

مدرس پاره‌وقت

• Traffic and Transportation Engineering
• Intelligent Transport Systems (ITS)
• Traffic Safety
• +۵ مورد دیگر

Niels Agerholm is a Part-time Lecturer at the Department of the Built Environment within the Faculty of Engineering and Science at Aalborg University. His research focuses on traffic safety, intelligent transport systems, bicycle infrastructure design, and sustainable mobility solutions in urban and rural environments. He actively participates in interdisciplinary projects addressing transportation challenges in Denmark and Europe. Key research interests include evaluating the safety impact of traffic infrastructure changes, analyzing modal shift behaviors among commuters, and exploring innovative solutions for rural transportation accessibility. His work combines geospatial analytics, floating car data, and behavioral studies to inform policy decisions. Recent publications highlight studies on bicycle modal share trends, speed-calming measures, and the safety implications of infrastructure modifications. Agerholm has received the Distinguished Scientific Papers Europe award in 2016 for outstanding contributions to transportation research. His professional activities include project supervision, peer review, and participation in national/international transport initiatives. He collaborates with organizations like the European Commission on mobility strategies and frequently engages with media to discuss transport policy implications.

Mohammad Bokaeiمشاهده پروفایل

پژوهشگر ارشد

• Wireless Communications
• Deep Learning
• Speech Processing
• +۳ مورد دیگر

Mohammad Bokaei is a PhD Fellow at the Department of Electronic Systems within The Technical Faculty of IT and Design at Aalborg University, Denmark. His research integrates deep learning with wireless communication systems, focusing on speech transmission under channel constraints. His core research interests include: Wireless Communications: Channel modeling and adaptive transmission techniques Deep Learning: Neural network applications for communication systems Speech Processing: Real-time transmission and enhancement algorithms Signal Processing: Theoretical frameworks for low-latency systems Joint Source-Channel Coding: End-to-end optimization approaches Matrix Completion: Low-rank recovery for harmonic signal analysis Analysis of his 2024 publications reveals concentrated innovation in deep learning-driven wireless speech systems. Key trends include channel-configurable architectures, Gaussian channel optimization, and latency-constrained joint transmission-enhancement frameworks. His work bridges theoretical signal processing with practical wireless applications, particularly for assistive communication devices. No scientific awards were documented in the source material. Details regarding student supervision or research grants were not provided in the available information. No specific laboratory affiliations or research teams were referenced in the scraped content.

• Microgrids
• Photovoltaic Systems
• Power Electronics
• +۸ مورد دیگر

Abderezak Lashab is an Assistant Professor at Aalborg University's Department of Electric Power Systems and Microgrids within the Faculty of Engineering and Science. He specializes in microgrid technologies, photovoltaic systems, and power electronics. His research focuses on enhancing the stability, efficiency, and resilience of energy systems, particularly in renewable energy integration, smart grids, and electric vehicle infrastructure. Key projects include the HECATE initiative exploring hybrid electric regional aircraft distribution technologies. Affiliations: AAU Energy, Microgrids Research Group Research Interests: Microgrid control strategies, photovoltaic system optimization, battery storage solutions, and cybersecurity in energy networks. His work emphasizes practical applications such as disaster-resilient mobile microgrids and EV charging infrastructure sustainability. Publications (82+): Focus on advanced control algorithms, power electronics, and renewable energy systems. Recent trends highlight grid stability under high PV penetration and smart grid resilience. Grants: HECATE project (2023-2025) funded by Horizon JU Innovation Action Labs/Teams: Active contributor to AAU's energy research groups, collaborating on projects involving hybrid electric systems and IoT-enabled cybersecurity.