جستجوی استاد راهنمای دانشگاهی

Martin Nordal Petersenمشاهده پروفایل

دانشیار

• Internet of Things
• Optical Networking
• Wireless Communication
• +۳ مورد دیگر

Martin Nordal Petersen is an Associate Professor at the Department of Electrical and Photonics Engineering , Technical University of Denmark (DTU) . His work spans Internet of Things (IoT) , optical networking , and wireless communication systems, with notable contributions to LoRa , NB-IoT , and LPWAN technologies. He actively supervises PhD projects on topics such as machine learning in IoT edge devices , secure 5G communication , and smart community architectures . Active projects (2024–2027): Machine Learning in IoT Edge Devices , Deterministic and Secure 5G Communication Finished projects (2021–2024; 2018–2021; 2015–2018): Reliable M2M/IoT Communication , Smart Communities , IoT 100% , Network Slicing His research explores: IoT Reliability : Multi-RAT communication, backup systems, and signal propagation Optical Networks : Alien wavelength integration, SDN control, and network emulation platforms Wireless Innovation : GPS-free geolocation, maritime NB-IoT use cases, and multimode fiber distribution Current collaborations emphasize cross-disciplinary applications of IoT in healthcare , industrial ergonomics , and smart environments .

Giulio Ciminiمشاهده پروفایل

دانشیار

• Statistical Physics
• Complex Networks
• Economic Networks
• +۱۲ مورد دیگر

Giulio Cimini is Associate Professor of Theoretical Physics in the Department of Physics at the University of Rome Tor Vergata and a Research Associate at the 'Enrico Fermi' Research Center. He is a statistical physicist with a strong interdisciplinary focus on complex networks and their applications in socio-economic systems. His research interests include: Statistical Physics of Complex Networks Reconstruction and Validation of Economic Networks Social Network Interactions and Financial Markets Systemic Risk and Financial Contagion Scientific Success, Fitness, and Complexity Adaptive Social Recommendation Codon Usage Bias and Protein Interaction Networks His recent publications reveal a strong trend in applying statistical physics to real-world networks, particularly in finance and social systems. Key themes include the modeling of systemic risk in supply chains and financial networks, the dynamics of collective action on platforms like Reddit (e.g., the GameStop short squeeze), and the development of network reconstruction methods using maximum entropy and optimal transport frameworks. His work often combines empirical analysis with theoretical modeling. Scientific awards and recognitions include: Associate Editor, Frontiers in Physics – Interdisciplinary Physics Board Member, Network Science Society Member, Council of the Complex Systems Society Steering Committee, CCS/Italy He has advised or collaborated with numerous researchers, particularly in projects related to economic networks and complex systems. His work has been supported by Italian national grants such as PRIN and PNRR. He leads or co-leads research projects including RENet and C2T. His research is conducted within interdisciplinary teams involving physicists, economists, and computer scientists, often in collaboration with institutions like ISC-CNR, IMT Lucca, and the Network Science community.

Shuang Ma Andersenمشاهده پروفایل

استاد

• Electrocatalysis
• Proton Exchange Membrane Fuel Cells (PEMFCs)
• Water Splitting
• +۵ مورد دیگر

Shuang Ma Andersen is a Full Professor at the Department of Green Technology (IGT) and SDU Chemical Engineering, specializing in electrocatalysis, fuel cell technologies, and sustainable resource recovery. Her research focuses on oxygen evolution reaction (OER) catalysts, membrane electrode assemblies, and innovative synthesis methods for iridium/platinum-based systems.

Kristian Sevdariمشاهده پروفایل

پژوهشگر ارشد

• Electric Vehicle Grid Integration
• Vehicle-to-Grid Systems
• Renewable Energy Integration
• +۶ مورد دیگر

Kristian Sevdari is a Postdoctoral Researcher at the Department of Wind and Energy Systems, Technical University of Denmark (DTU). He was born in Kucove, Albania, in 1995, and holds a B.Sc in electrical engineering from the Polytechnic University of Tirana (2016), an M.Sc from UiT Norges arktiske universitet, Norway (2020), and a Ph.D. from DTU (February 2024). Since 2020, he has been working at DTU on multiple projects including Solar-Move, AHEAD, FLOW, EV4EU, ACDC, and FUSE. His research focuses on renewable energy integration and electric vehicle grid integration, with specific expertise in vehicle-to-grid systems, power system dynamics and stability, prosumers and flexible demand, wind power integration, and smart grid technologies. His work contributes to UN Sustainable Development Goals related to sustainable energy and climate action. Dr. Sevdari's recent publications demonstrate a strong trend toward solving practical challenges in EV-grid integration, with emphasis on bidirectional charging technologies, harmonics analysis, battery second-life applications, and smart charging strategies for residential and urban environments. His research bridges theoretical control approaches with experimental validation across multiple European contexts. Best paper award at 2024 IEEE Transportation Electrification Conference & Expo Best paper award of the IEEE PES ISGT-Europe 2021 conference As a supervisor, he has guided multiple Master's theses on topics including telematics integration for EV cost reduction, open charge point protocol implementation, vehicle-to-grid testing, and compatibility testing for EV ecosystems. He is actively involved in the IEEE PES Task Force on electric vehicle grid integration and IEA Task 53, and is the founder of IEEE REST conferences, Qendra SUSALB, and EkoVolt.

Jan Engelhardtمشاهده پروفایل

استادیار

• Electric Vehicle Systems
• Battery Energy Storage
• Power System Integration
• +۴ مورد دیگر

Jan Engelhardt serves as Assistant Professor in the Department of Wind and Energy Systems at the Technical University of Denmark (DTU), specializing in e-mobility and prosumer integration within power and energy systems. His work directly contributes to UN Sustainable Development Goals through grid modernization and renewable energy integration. His research focuses on electric vehicle-grid integration , with core expertise in battery energy storage systems, DC microgrids, and virtual power plants. Key investigation areas include smart charging architectures for EV clusters, frequency response services, phase balancing techniques, and V2X management strategies. His experimental approach combines theoretical modeling with real-world validation of control systems for enhanced grid stability. Recent publications demonstrate a clear trend toward distributed control solutions for electric vehicle clusters, emphasizing user-centric scheduling while providing grid services. His work increasingly incorporates experimental validation of frequency control architectures and explores high-power reconfigurable battery applications for fast-charging infrastructure. Dr. Engelhardt actively supervises PhD candidates on projects including Hybrid Energy Solutions (EV charging and battery storage synergies) and Provision of Grid Services through EV Aggregation. He participates in major EU initiatives like EV4EU (Electric Vehicles Management for Carbon Neutrality in Europe) and GREAT (GRid Enhancement for Ancillaries in Tomorrow’s power systems), securing substantial research funding through Horizon Europe frameworks.

• Applied Statistics
• Statistical Consultancies
• Functional Data Analysis
• +۵ مورد دیگر

Bo Markussen is a Professor at the University of Copenhagen within the Department of Mathematical Sciences . He is also a member of the Data Science Laboratory , where he contributes to statistical methodology and interdisciplinary collaborations. His academic journey began with a Cand.Scient (MSc) and PhD in Statistics from the University of Copenhagen, awarded in 1998 and 2002 respectively. 2012–present: Professor, Department of Mathematical Sciences, University of Copenhagen 2009–2012: Associate Professor, Department of Basic Sciences and Environment, University of Copenhagen 2006–2009: Assistant Professor, Department of Basic Sciences and Environment, University of Copenhagen Bo Markussen's research focuses on applied statistics , particularly in functional data analysis and multiple testing corrections in genetics . His work spans diverse domains including environmental science, agriculture, and public health. Recent research output highlights applications in Arctic climate data analysis, fire risk modeling, plant stress phenotyping, and nutritional biomarker prediction. His recent publications demonstrate a strong trend toward machine learning integration with statistical modeling , addressing challenges in high-dimensional data analysis and environmental risk assessment. Collaborations span institutions in Denmark and internationally, reflecting his engagement in pan-Arctic climate studies and tropical agricultural research. 2018–present: Associate Editor, Scandinavian Journal of Statistics 2017–2019: Chair, Danish Society for Theoretical Statistics 2015–2017: Board Member, Danish Society for Theoretical Statistics As a central figure in the Data Science Laboratory , Markussen leads statistical consultancy initiatives and contributes to methodological advancements. His expertise bridges theoretical statistics with real-world applications, particularly in handling complex datasets across biological and environmental domains.

Elham Raminمشاهده پروفایل

پژوهشگر

• Wastewater Treatment
• Computational Fluid Dynamics
• Water Resource Recovery
• +۵ مورد دیگر

Elham Ramin is a Researcher at the Department of Chemical and Biochemical Engineering at the Technical University of Denmark (DTU), affiliated with the Center for Energy Resources Engineering (CERE) and the Process and Systems Engineering Centre (PROSYS). Her work contributes to multiple UN Sustainable Development Goals, particularly in clean water and sanitation, affordable and clean energy, and industry innovation. Dr. Ramin completed her PhD at DTU (2010-2014) with research focused on modeling water quality in sewer-WWTP systems. Her academic journey demonstrates a strong foundation in environmental process engineering with applications to real-world water treatment challenges. Her research interests span wastewater treatment optimization, Power-to-X applications for water resource recovery, industrial symbiosis in water management, and biomanufacturing process modeling. She specializes in computational fluid dynamics, activated sludge modeling, and one-dimensional simulation models for wastewater treatment plants. Her work bridges environmental engineering with sustainable resource management, focusing on practical solutions for water-energy nexus challenges. Analysis of her recent publications reveals a strong trend toward integrating sustainable energy solutions with water treatment processes, particularly Power-to-X technologies. Her research portfolio shows increasing focus on digitalization of water resource recovery facilities and cross-sectoral industrial symbiosis for optimal resource utilization. The work demonstrates strong interdisciplinary connections between environmental engineering, chemical process modeling, and sustainable development. Dr. Ramin has participated in significant research projects including ERASE (Evaluation of Resource recovery Alternatives in South African water) and GECKO (Green and Circular Innovation for Kenyan Companies), demonstrating international collaboration and application of research to diverse water management contexts. Her work has generated substantial academic interest with multiple publications receiving significant downloads and reader engagement on platforms like Mendeley. She is actively involved with research centers including CERE and PROSYS at DTU, contributing to interdisciplinary teams focused on energy resource engineering and process systems optimization. Her collaborations extend to pharmaceutical industry applications, particularly in vaccine manufacturing development and digital twin implementation for bioprocesses.

Fabio Pierellaمشاهده پروفایل

دانشیار

• Offshore Wind Energy
• Fluid Dynamics
• Structural Engineering
• +۳ مورد دیگر

Fabio Pierella is an Associate Professor at the Technical University of Denmark (DTU), affiliated with the Department of Wind and Energy Systems Flows, specializing in Wind Turbine Design Division. His research focuses on offshore wind energy systems, fluid dynamics, and structural engineering. He has contributed to projects like OC6 Phase IV and the DeRisk database, validating numerical models for floating offshore wind structures and extreme wave loads. Key research interests include computational fluid dynamics (CFD), hydrodynamic load modeling, and the design of large-scale floating wind turbines. His work spans numerical simulations, experimental validation, and database development for extreme sea states. Pierella has presented at international conferences on topics like wave-structure interaction and turbine control systems. He received the Best Poster Presentation Award (2024) and contributed to datasets such as the DeRisk Database, which provides critical wave data for offshore wind turbine design. His research emphasizes practical applications, including monopile structural integrity under extreme loads and control strategies for floating platforms. Pierella's activities include conference presentations on ultra-large floating turbines (EMULF2 project) and the impact of wave shape on 15MW turbine loads. His interdisciplinary approach integrates computational models with experimental results to address challenges in offshore renewable energy systems.

Morten Ambye-Jensenمشاهده پروفایل

دانشیار

• Biorefinery Technology
• Sustainable Protein Production
• Environmental Engineering
• +۳ مورد دیگر

Morten Ambye-Jensen is an Associate Professor in the Department of Biological and Chemical Engineering at Aarhus University, specializing in biorefinery technology and sustainable protein production. His work focuses on optimizing green biorefining processes for agricultural residues to produce high-value products like biochar, proteins, and bio-based materials while minimizing environmental impact. Key research interests include: Development of integrated biorefinery systems for grasses and legumes Protein extraction from residual biomass for food and feed applications Life cycle assessment of bio-based technologies Waste-to-resource valorization strategies Climate-smart agricultural practices He leads or collaborates on major projects such as Green Valleys 2.0 (2023-2025) and ENTRANCE (2022-2025), which aim to create circular bioeconomies and reduce reliance on imported soybeans. His research also explores energy-efficient processing techniques and biochar applications in agriculture. Notable achievements include advancing fractionation technologies for alfalfa and grass-clover biomass, and demonstrating how pyrolysis integration can enhance biorefinery energy efficiency while producing valuable biochar.

Wiebke Meesenburgمشاهده پروفایل

استادیار

• Thermal Energy
• Heat Pump Engineering
• District Heating
• +۷ مورد دیگر

Wiebke Meesenburg is an Assistant Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), specializing in Thermal Energy. She is actively involved in research on large-scale heat pump systems, district heating integration, and digital twin applications for energy optimization. Her research focuses on sustainable thermal energy systems, particularly the design, monitoring, and optimization of heat pumps in district heating networks. Key areas include dynamic modeling, real-time adaptation, fouling mitigation, and the integration of renewable energy sources. She contributes to advancing energy efficiency and sustainability in urban infrastructure. The recent publications highlight a strong trend toward digitalization and optimization of thermal systems, with an emphasis on model-based monitoring, digital twins, and operation scheduling using advanced algorithms. Her work bridges mechanical engineering, energy systems, and computational modeling to improve system performance and reliability. She has supervised PhD research and contributed to major projects such as the implementation of digital twins for heat pump systems and EnergyLab Nordhavn. Collaborations involve key figures in energy research at DTU, including Professor Brian Elmegaard. While no formal awards are listed, her active participation in conferences and project leadership demonstrates recognition in her field. Wiebke Meesenburg has been involved in organizing and presenting at international events, including the 35th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems and workshops on Modelica and flexible heat supply. Her work is embedded in interdisciplinary teams focused on future energy infrastructures and smart urban energy systems.

Ali Akhavanمشاهده پروفایل

استادیار

• Power Systems
• Microgrids
• Control Systems Engineering
• +۳ مورد دیگر

Ali Akhavan is an Assistant Professor at the Faculty of Engineering and Science , Aalborg University, specializing in Electric Power Systems and Microgrids . His work focuses on grid-connected inverters, microgrid stability, and advanced control algorithms. Research Interests: Control systems for power electronics, stability analysis in asymmetrical grids, passivity-based control, and harmonic compensation. Projects: Participated in CROM (Villum Foundation), SYNCHRONY (private funding), and ASSET (Horizon Europe) to develop high-performance converter systems for renewable energy integration. Scientific Awards: Recipient of the Best Paper Award (May 2021). Email: alak@energy.aau.dk Publications Trend: 15 recent works emphasize grid-forming inverters, harmonic voltage compensation, and stability analysis in renewable energy systems. Key subfields include power quality, passivity enhancement, and dynamic response optimization.

Jeanette Willertمشاهده پروفایل

دانشیار

• Management Control Systems
• Accounting Information Systems
• Cross-Cultural Management
• +۳ مورد دیگر

Jeanette Willert is an Associate Professor at the Department of Accounting , Copenhagen Business School , specializing in Management Control Systems and Accounting Information Systems . Her research explores cross-cultural management practices, corporate governance, and digital transformation in accounting. Education: PhD in Management Control Systems, Copenhagen Business School (2016) She has published extensively on cultural influences on management controls, regulatory compliance in digital systems, and organizational performance. Her work includes empirical studies across Nordic, Anglo-Saxon, and Germanic cultural regions. Advising: Supervises graduate and diploma theses in Accounting Information Systems She also contributes to media discussions on Danish accounting legislation and participates in projects analyzing ERP system effectiveness.

Kohei Nakajimaمشاهده پروفایل

دانشیار

• Soft Robotics
• Physical Reservoir Computing
• Physical Deep Learning
• +۵ مورد دیگر

Kohei Nakajima is an Associate Professor at the Department of Intelligent Mechano-Informatics, Graduate School of Information Science and Technology, The University of Tokyo. He holds concurrent positions at the Department of Creative Informatics and the Next Generation Artificial Intelligence Research Center (AI Center). As an Endowed Chair in Advanced Artificial Intelligence Education, he leads the Physical Intelligence Lab, which focuses on the intersection of soft robotics, nonlinear dynamics, and physical computing. His research interests center on Physical Reservoir Computing (PRC), a paradigm that exploits the natural dynamics of physical systems for computation, with applications in soft robotics, spintronics, and quantum machine learning. Nakajima's work demonstrates how physical systems can inherently process information without traditional digital computation, leveraging phenomena like chaos, bifurcations, and embodied intelligence. Nakajima's publications reveal a strong focus on understanding how physical systems can perform computational tasks. His recent work spans from biological applications (jellyfish cyborgs, ostrich-inspired robotics) to fundamental theoretical advances in reservoir computing. The research demonstrates how physical phenomena can be harnessed for information processing, with implications for energy-efficient computing and novel robotic control paradigms. As the organizer of the Reservoir Computing Seminar, Nakajima has built a vibrant research community exploring the nature of information processing across disciplines. His lab actively recruits graduate students and postdocs, indicating strong research momentum and institutional support for his work in physical intelligence.

Jesper Linigerمشاهده پروفایل

دانشیار

• Marine Growth Engineering
• Power Fluid Engineering
• Wind Turbine Engineering
• +۶ مورد دیگر

Jesper Liniger is an Associate Professor at AAU Energy within the Faculty of Engineering and Science at Aalborg University. He works in the Esbjerg Energy Section focusing on Offshore Renewable Energy Systems and is affiliated with AAU BLUE – Marine & Maritime Research. His office is located at Niels Bohr Street 8, 6700 Esbjerg, Denmark. Research Interests Marine Growth Engineering and automated cleaning solutions for offshore structures Underwater robotics including Remotely Operated Vehicles (ROVs) and autonomous inspection systems Wind turbine engineering with emphasis on hydraulic pitch systems and fault detection Fluid power engineering applications in marine environments Development of robotic solutions for offshore renewable energy infrastructure Research Trends Dr. Liniger's recent publications demonstrate a strong focus on developing robotic solutions for offshore renewable energy infrastructure. His work bridges theoretical control systems with practical marine applications, particularly addressing marine growth (biofouling) challenges on offshore structures. The research shows increasing interdisciplinary collaboration, combining robotics, fluid mechanics, and wind energy systems to create integrated solutions that improve operational efficiency and reduce maintenance costs in offshore environments. Scientific Awards Innovation Project of the Year (2024) - For underwater robotics development Esbjerg Universitetspris (2018) - University award recognizing research excellence Advising and Research Leadership Dr. Liniger actively supervises PhD students and serves as principal investigator or supervisor on multiple major projects including "NextGen Robotics" for offshore wind farms and "Towards Enhancing Perception and Navigation for Autonomous Underwater Inspection Drone." His research portfolio includes collaborations with industry partners like Vattenfall and Business Center Funen, demonstrating strong industry-academia connections focused on practical applications with economic impact. Research Teams and Facilities Liniger is part of AAU BLUE – Marine & Maritime Research, which provides specialized facilities for marine robotics testing and development. His work involves close collaboration with researchers in control systems, fluid mechanics, and renewable energy. The research group has developed experimental frameworks for testing underwater and surface vehicle operations, with recent media coverage highlighting their innovative approaches to solving marine growth challenges on offshore structures.

• Transportation Engineering
• Urban Planning
• Sustainable Mobility
• +۵ مورد دیگر

Ravi Seshadri is an Associate Professor in the Transport Division at the Department of Technology, Management and Economics, Technical University of Denmark (DTU). His research focuses on designing equitable, efficient, and sustainable mobility solutions with a focus on fiscal instruments like congestion pricing and tradable permits, as well as emerging mobility modes such as shared and demand-responsive transit. He employs methods from transportation network equilibria, dynamic traffic assignment, and agent-based simulation. His research interests span transportation economics, urban planning, and intelligent transportation systems. Key areas include evaluating the impacts of automated mobility-on-demand systems, optimizing tolling strategies using predictive control and reinforcement learning, and integrating multi-modal transportation networks through game-theoretical frameworks. His work emphasizes real-world applications in urban freight systems, e-commerce logistics, and sustainable urban mobility policies. Recent projects include studying congestion pricing schemes via agent-based microsimulation, analyzing behavioral responses to decarbonization policies, and developing frameworks for tradable credit systems with peer-to-peer trading. He has contributed to both theoretical advancements (e.g., robust traffic assignment models) and applied tools like the SimMobility simulation platform. Ravi's research demonstrates a strong focus on bridging transportation engineering with policy analysis, using cutting-edge computational methods to address complex urban mobility challenges. His work spans academic publications, industry collaborations, and policy consultations to advance sustainable transportation systems.