جست‌وجوی استاد و پژوهشگر

• Control Systems
• Reinforcement Learning
• Cybersecurity
• +۳ مورد دیگر

Mahmood Mazare is a Postdoctoral Researcher at SDU Mechatronics (CIM), University of Southern Denmark. His work focuses on advanced control systems and cybersecurity applications in energy generation technologies. Primary affiliations: University of Southern Denmark Research Interests: Control systems optimization Reinforcement learning applications Cybersecurity in energy systems Wind power generation security Optimal control strategies Compressed air motor technology Recent Research Trends: Mazare's publications demonstrate expertise in developing secure control systems for renewable energy applications, particularly focusing on mitigating cyber threats through reinforcement learning approaches and addressing disturbances in power conversion systems. Scientific Contributions: 3 peer-reviewed journal publications in the past year covering topics in control theory, wind power security, and compressed air motor systems.

Mohammad Hassan Khoobanمشاهده پروفایل

دانشیار

• Power Systems
• Renewable Energy
• Control Systems
• +۴ مورد دیگر

Mohammad Hassan Khooban is an Associate Professor at the Department of Electrical and Computer Engineering, specializing in Electrical Energy Technology at Aarhus University . His research emphasizes advanced control strategies for power systems, renewable energy integration, and smart grid technology. While specific educational background details are not explicitly stated, his work demonstrates expertise in power electronics, control systems, and machine learning applications. His projects include pioneering initiatives like QuantumEcoCircuits (2024–2027) and Smart Synergy Mechanism (2023–2025), focusing on sustainable energy systems, electric vehicle charging dynamics, and resilient grid operations. His research interests span adaptive control methodologies, grid resilience under cyber threats, and the optimization of energy storage systems. He has contributed to peer-reviewed journals such as IET Renewable Power Generation and IEEE Transactions on Smart Grid , exploring topics ranging from PID controllers to fractional-order sliding mode control for unmanned aerial vehicles. No scientific awards are listed, but his work is supported through grants and collaborative projects. He is actively involved in lab initiatives related to power systems and renewable energy technologies.

Silvia Toluمشاهده پروفایل

دانشیار

• Neurorobotics
• Bio-inspired Control Systems
• Neuromorphic Engineering
• +۳ مورد دیگر

Silvia Tolu is an Associate Professor at the Technical University of Denmark's Department of Electrical and Photonics Engineering, specializing in Neurorobotics. She leads the NeuroRobotics Technology Lab (NRT-LAB), focusing on bio-mimetic control architectures for compliant robotic systems. Her research integrates neuroscience, computer science, and biology to develop solutions for assistive robotics and neurodegenerative disease diagnosis. Her research interests span: Neuro-robotics and neuromorphic engineering Bio-inspired control systems and adaptive motor control Machine learning for robotic applications Human-robot compliant interaction Cerebellar control models Publications primarily focus on neurorobotics, bio-inspired control, and human-robot interaction, with recent advances in learning-based control systems for soft robots and aerial manipulation. Awards include the AEG Elektrofonden Research Grant and funding for human-robot interaction safety research. Current projects include LOCOPD (Lundbeck Foundation), AEROTRAIN (EU Marie Curie ITN), and compliant human-robot interaction systems. She supervises multiple PhD students in neurorobotics and maintains international collaborations across Europe and Asia. Laboratory resources include advanced robotic platforms for musculoskeletal and soft robot control.

Sam Roozbehaniمشاهده پروفایل

پژوهشگر ارشد

• Microgrid Engineering
• Inverter Engineering
• Reactive Power Engineering
• +۵ مورد دیگر

Sam Roozbehani serves as a Postdoctoral Research Fellow at the Department of Engineering Technology and Didactics Energy Technology and Computer Science, Technical University of Denmark (DTU), Ballerup campus. His research in power systems engineering directly supports UN Sustainable Development Goals for affordable and clean energy, with expertise spanning microgrid stability, inverter control, and advanced power system protection mechanisms. His primary research domains include Microgrid Engineering, Inverter Engineering, and Reactive Power Engineering, with specialized focus on fault ride-through coordination, grid-forming/grid-following inverter architectures, and advanced control techniques like fractional-order sliding mode control. Current investigations address critical challenges in renewable integration resilience, particularly voltage stability during grid faults and optimal control of hybrid photovoltaic-battery systems in microgrids. Analysis of his 2025 publications reveals concentrated efforts on real-time solutions for inverter-based microgrid stability, with significant contributions to fault management protocols and frequency regulation in industrial energy clusters. His work demonstrates consistent emphasis on practical implementations of control algorithms for wind turbine systems and eco-industrial applications. Dr. Roozbehani actively contributes to two major research initiatives: Electric weed control in seed crops - Developing electrical methods for sustainable agricultural weed management GRACE project - Creating grid capacity-aware investment frameworks for eco-industrial clusters to optimize sector coupling and renewable integration These projects involve cross-disciplinary collaboration with DTU researchers in energy systems and environmental engineering, targeting near-term industrial implementation.

Baoze Weiمشاهده پروفایل

دانشیار

• Microgrid Control
• Power Electronics
• Renewable Energy Integration
• +۵ مورد دیگر

Baoze Wei is an Associate Professor at Aalborg University's Department of Electric Power Systems and Microgrids, part of the Faculty of Engineering and Science. His research focuses on advanced control strategies for power electronics, microgrid stability, and energy management systems. He leads and collaborates on projects such as the Digital Twin-based Reliability Framework for Aviation Systems and Holistic Optimization of Green Fuel-Powered Microgrids. Key contributions include work on distributed energy systems, fault-tolerant architectures, and predictive maintenance for power electronics. His research emphasizes practical applications in renewable integration, smart grids, and industrial electrification. Wei has supervised one PhD student, Q. He, and contributed to projects funded by entities like Horizon JU and Huawei. Notable collaborations include work on hybrid-electric aircraft systems (HECATE) and advanced control algorithms for distributed converters. His research spans technical areas such as voltage source inverters, uninterruptible power systems (UPS), and DC shipboard microgrids. His publications reflect expertise in model predictive control, energy trading strategies, and condition monitoring. Current research trends include data-driven lifetime prediction for power electronics components and optimization of multi-energy systems. He actively participates in international conferences, contributing to both theoretical advancements and real-world system implementations.

Kaiyuan Luمشاهده پروفایل

دانشیار

• Electrical Engineering
• Control Systems
• Energy Harvesting
• +۳ مورد دیگر

Kaiyuan Lu is an Associate Professor at Aalborg University's Faculty of Engineering and Science, affiliated with the Mechatronic Systems department. He specializes in advanced motor control systems, energy-efficient drives, and renewable energy applications. His research focuses on sensorless control, parameter uncertainty mitigation in electric drives, and optimal control strategies for refrigeration systems. Education details are not explicitly stated in the provided text, but his academic trajectory aligns with a PhD in Electrical Engineering or related field, given his current rank and research output. Research interests include Permanent Magnet Synchronous Motor (PMSM) drives, machine learning-enhanced control systems, energy harvesting, and high-dynamic compressor systems. His work bridges theoretical advancements in control algorithms with practical industrial applications, such as improving refrigeration compressor efficiency and developing robust sensorless drive solutions. He has supervised 7 PhD students, including Cai R. and Schou M. M., and led/co-led 22 research projects, including 'Machine Learning Improved Sensorless Control for PMSM Drives' (2025–2027) and 'Optimal Control for Refrigeration Compressor Systems in High Dynamics Situations' (2023–2025). Labs/Teams: Active contributor to AAU Energy's research initiatives, collaborating on projects involving I-F startup methods and web search-based control solutions for compressors.

• 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.

Dimitrios Papageorgiouمشاهده پروفایل

دانشیار

• Nonlinear Control Systems
• Sliding-Mode Control
• Marine Technology
• +۲ مورد دیگر

Dimitrios Papageorgiou is an Associate Professor in the Department of Electrical and Photonics Engineering at DTU, specializing in nonlinear and fault-tolerant control systems. His research develops advanced control methodologies for applications including marine vessel autonomy, wind turbine reliability, and industrial automation. Research highlights: Nonlinear sliding-mode control algorithms for robust system performance Fault diagnosis and prognosis for critical energy infrastructure Maneuvering control and situation awareness for autonomous vessels Biomimetic control approaches for robotic systems He leads PhD projects in aerial robotics inspection, wind turbine fault tolerance, and compliant human-robot interaction systems. His group collaborates with maritime and renewable energy industries to implement control solutions in operational environments.

Shouvik Chaudhuriمشاهده پروفایل

پژوهشگر ارشد

• Control Systems
• Electrohydraulic Actuation
• Nonlinear Control
• +۴ مورد دیگر

Shouvik Chaudhuri is a Research Fellow at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark (SDU). Holding a PhD and postdoctoral qualifications in Mechatronics, he conducts research in control systems and electrohydraulic actuation. His educational background includes advanced training in mechanical and electrical engineering systems. Dr. Chaudhuri's research focuses on nonlinear control methodologies with applications spanning: Electrohydraulic actuation systems and motion control Marine vehicle stabilization and control systems Energy-efficient refrigeration and thermal management Robust control applications in biomedical devices Mechatronic systems integration with vision-based sensing His recent publications demonstrate strong cross-disciplinary collaboration, particularly in marine engineering, thermal systems, and biomedical applications. Research frequently incorporates advanced control strategies including sliding mode control, adaptive neural networks, and fuzzy logic implementations. Dr. Chaudhuri actively supervises student projects in mechatronics and control systems, including: Trajectory generation for CNC foam cutting machines Autonomous aerial mapping using drone-based SLAM Electrohydraulic valve systems for pharmaceutical applications Diesel dosing units for exhaust system testing He maintains laboratory activities through SDU Mechatronics (CIM) research group, focusing on experimental validation of electrohydraulic systems and marine control technologies.

Karam Elikerمشاهده پروفایل

استادیار

• Quadcopter Control Systems
• Unmanned Aerial Vehicles
• Robust Control Algorithms
• +۲ مورد دیگر

Karam Eliker is an Assistant Professor in the Department of Engineering Technology and Didactics at the Technical University of Denmark. His research focuses on advanced control systems for unmanned aerial vehicles, particularly quadcopters, with emphasis on robust control algorithms that address system uncertainties and input constraints. Primary research areas include: Robust attitude control for quadcopters Energy-efficient UAV design Finite-time adaptive control systems Flight trajectory optimization Recent publications demonstrate expertise in developing advanced control methodologies that address practical challenges in UAV operations, including payload transportation, energy efficiency improvements, and robust performance under uncertainties. Research consistently bridges theoretical control concepts with aerospace engineering applications.

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.