جست‌وجوی استاد و پژوهشگر

Kefei Wenمشاهده پروفایل

استادیار

• Robotics
• Mechanism Design
• Kinematics
• +۴ مورد دیگر

Kefei Wen serves as an Assistant Professor in the Department of Mechanical Engineering at the University of British Columbia's Faculty of Applied Science. His research pioneers advanced robotic systems for physical human-robot cooperation, emphasizing kinematic redundancy and continuum mechanics. His academic credentials include: B.S. and M.S. from Yeungnam University Ph.D. from Université Laval Postdoctoral Fellowship at the University of Toronto Dr. Wen's work spans Robotics , Mechanism Design , and Human-Robot Interaction , with core expertise in parallel continuum robots, tendon-driven actuation, and sensorless control systems. His current projects focus on kinematically redundant hybrid mechanisms that enable intuitive physical collaboration between humans and robots through analytical modeling and pseudo-rigid body approximations. Recent publications reveal a cohesive trajectory toward safer, more adaptive robotic interfaces—evolving from singularity analysis in hybrid robots (2019) to sensorless physical interaction frameworks (2021) and advanced continuum modeling (2022). This progression underscores his commitment to mathematically elegant solutions for real-world human-robot cooperation challenges. Award recognition includes: Honorable mention, IEEE Transactions on Robotics (2021) While specific student advisement details are unlisted, his role entails mentoring graduate researchers in robotics design. Grant activities remain unspecified, though his publication record suggests active funding for mechanism innovation. His laboratory work centers on experimental validation of parallel continuum systems, with future directions targeting medical and assistive robotics applications. No dedicated lab or team names are documented in the source material, though his research aligns with UBC's broader robotics initiatives in the Department of Mechanical Engineering.

• Robotics
• Motion Control
• Reinforcement Learning
• +۴ مورد دیگر

Harsha Abeykoon is an Associate Professor in the Mechanical Engineering Department at Embry-Riddle Aeronautical University . His research focuses on Robotics , Reinforcement Learning , and Haptics , with applications in Bilateral Teleoperation , Biomedical Robotics , and Advanced Motion Control Systems . He has held academic positions at the University of Moratuwa, Asian Institute of Technology, and Plymouth State University. Ph.D. , Integrated Design Engineering, Keio University M.S. , Engineering, Keio University B.Sc. , Electrical Engineering, University of Moratuwa His research bridges Deep Learning and Haptics for teleoperation systems, Mobile Robots for navigation, and Disturbance Observers for friction compensation in DC motors. Recent work includes 3D Environmental Force Modeling and Monocular Camera-Based Object Localization . Dr. Abeykoon’s publications span Haptic Interfaces , Bilateral Control , and Reinforcement Learning . He has received multiple Outstanding Research Performance Awards from the University of Moratuwa and Best Paper Awards at EECon. Outstanding Research Performance Awards (2014-2023) Best Paper Awards (EECon 2021, 2024) Monbukagakusho Scholar (Japanese Government, 5 years) Keio Leading Lab Grant (3 years) IEEE SPARX Program Award (2024) He has led international collaborations via IEEE, including the ERASMUS+ Capacity Building Grant (€1 million) and served as Vice Chair and Secretary in IEEE Sections. Dr. Abeykoon mentors projects in Robot-Assisted Surgery and Smart Energy Systems .

Bogdanffy Lorandمشاهده پروفایل

استاد

• IoT Systems
• Control Engineering
• Simulation and Modeling
• +۳ مورد دیگر

BOGDANFFY Lorand is a Professor and Head of the Department of Automation, Computers, Electrical and Power Engineering at the Faculty of Mechanical and Electrical Engineering, UPET.RO. He holds a PhD and specializes in IoT systems, control engineering, renewable energy, and e-learning technologies. His research integrates simulation, modeling, and sensor networks into practical applications like smart urban management, solar tracking systems, and underground mining safety. His work spans interdisciplinary areas such as: IoT-enabled environmental monitoring for sustainable cities Computational methods in mining safety and risk analysis Development of e-learning platforms and educational software Advanced motor control systems and sensorless vector control His recent publications highlight trends in: Smart infrastructure and energy optimization Data-driven decision-making in insurance and risk management 360° imaging systems and mobile teleoperation No scientific awards are listed in the provided texts. His advising and grants focus on engineering education and industrial automation projects. He leads teams in developing control systems and renewable energy solutions.

• Control Systems
• Mechatronics
• Vehicle Dynamics
• +۵ مورد دیگر

Prof. Dr.-Ing. Ulrich Königorski is a Professor of Control Systems and Mechatronics at the Technical University of Darmstadt's Institute of Automatic Control and Mechatronics. He holds a doctorate from TU Karlsruhe and has extensive industry experience at Robert Bosch GmbH and Thyssen Henschel. His research focuses on modeling nonlinear systems, mechatronic systems control, vehicle dynamics, and microgrid control. Königorski leads the Control Systems and Mechatronics Laboratory and has contributed to projects like Proreta 3 (driver assistance systems) and FLORIDyn (wind turbine modeling). His work bridges theoretical control methods with practical applications in automotive, robotics, and renewable energy sectors. Education: Electrical Engineering (1977-1983, TU Karlsruhe), PhD (1987, TU Karlsruhe) on state feedback design. Professional roles include Dean of the Faculty of Electrical Engineering and spokesperson roles in academic committees. Research interests emphasize system modeling, robust control, and mechatronics applications. Notable areas include automated driving trajectory planning, sensorless motor control, and inverter-based microgrid synchronization. His recent work addresses challenges in unsupervised scenario extraction for autonomous systems and gait phase estimation for prosthetics. Labs/Teams: Head of the Control Systems and Mechatronics Laboratory. Collaborations include industry partnerships for automotive and renewable energy projects. Ongoing research focuses on enhancing safety in nonlinear systems, optimizing energy grids, and advancing human-centric automation technologies.

• Robotics
• Automation
• Mechanical Engineering
• +۳ مورد دیگر

Bahadir Tarhan is a Research Assistant at the Centre for Robotics and Assembly , affiliated with Cranfield University 's Faculty of Engineering and Applied Science . He holds a BSc in Electrical and Electronic Engineering from KTO Karatay University (2020) and an MSc in Communication and Signal Processing from Newcastle University (2021). Currently pursuing a PhD at Cranfield University since September 2023, his research focuses on flexible robotic grippers, with a 2025 publication in Frontiers in Manufacturing Technology analyzing design principles, actuation methods, and control strategies for robotic gripping systems. Education BSc in Electrical and Electronic Engineering, KTO Karatay University (2020) MSc in Communication and Signal Processing, Newcastle University (2021) Research Interests encompass the development of versatile robotic gripping systems, with emphasis on hybrid designs combining rigid and soft components, advanced actuation mechanisms (pneumatic, hydraulic, servo-electric), and sensor integration for real-time adaptability. His work addresses critical challenges in autonomous grasping, object perception, and uncertainty management, aiming to advance robotic manipulation in industrial and healthcare contexts. Recent Publications demonstrate expertise in classifying robotic grippers, comparing actuation methods, and exploring sensorless sensing technologies. The 2025 review article covers 72 studies from the past 15 years, establishing a comprehensive design workflow for robotic grippers and analyzing performance trade-offs between different gripper types (two-finger, three-finger, hybrid, electro-adhesive). Research Supervision includes collaboration with Dr. Seemal Asif (Senior Lecturer in Artificial Intelligence and Robotics) and Professor Phil Webb (Royal Academy of Engineering Airbus Chair in Aerospace Systems Design).

Fang Zheng Pengمشاهده پروفایل

استاد

• Power Electronics
• High-Power Converters
• Grid Modernization
• +۳ مورد دیگر

Fang Zheng Peng is the Director of the Energy GRID Institute and RK Mellon Endowed Chair Professor of Electrical and Computer Engineering at the University of Pittsburgh. He has held prior academic roles as a Distinguished Professor at Florida State University (2000–2018) and University Distinguished Professor at Michigan State University (2000–2018). Additionally, he worked at Oak Ridge National Laboratory (1994–2000) and academic institutions in Japan earlier in his career. Education: B.S. in Electrical Engineering from Wuhan University (1983), M.S. and Ph.D. in Electrical Engineering from Nagaoka University of Technology (1987, 1990). Research Interests focus on power electronics, particularly Z-source converters and multilevel inverters for high-power applications. His work addresses fail-safe power systems, grid resilience, fault current limiting, and fire prevention in electrical systems. Key areas include STATCOM applications, wide-bandgap devices, and digital signal processing for power conversion. Publications span over 400 papers in IEEE Xplore, with citations exceeding 17,800. His research trends include modular multilevel converters, phase-locked loop optimization, and sensorless control for energy systems. Scientific Awards: IEEE William E. Newell Power Electronics Award (2022), Fellow of the National Academy of Inventors (2022), IEEE Fellow (2005), IAS Gerald Kliman Award (2013), IAS Outstanding Achievement Award (2020), and National Academy of Engineering Member (2025). Labs and Teams: He leads the Energy GRID Institute at the University of Pittsburgh, focusing on grid modernization and fail-safe power technologies.

Daniel Navarro Geversمشاهده پروفایل

استاد

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

Prof. Daniel Navarro Gevers serves as Professor at the Institute for New Energy Systems (InES) within Ingolstadt University of Applied Sciences (THI) since 2014, bringing extensive industry experience to renewable energy research and education. His career bridges academic theory and industrial application in wind energy systems. Key professional milestones include: Head of Inverter Control Department at Gamesa (2004-2009), developing core wind turbine technology Head of Development at Ennera Energy and Mobility (2009-2014) PhD research at Ilmenau University of Technology on sensorless wind turbine control (1999-2004) Industrial Engineering studies at Universidad Politecnica de Valencia (1992-1998) His research focuses on critical challenges in renewable energy integration, particularly control systems for wind turbines and stability solutions for island grids. This work addresses the technical barriers to deploying wind energy in isolated power systems where conventional grid support is unavailable. His teaching in Electrical Energy Technology in Renewable Energies directly transfers industry-tested knowledge to engineering students, emphasizing practical implementation of control systems for real-world renewable energy projects. Prof. Navarro Gevers maintains active industry connections through his prior leadership roles at major energy technology firms, ensuring his research remains responsive to current sector challenges in wind turbine reliability and grid integration.

Piotr Kołodziejekمشاهده پروفایل

استادیار

• Sensorless Control
• Electric Drives
• Renewable Energy Systems
• +۳ مورد دیگر

Dr. Piotr Kołodziejek is an Assistant Professor at Gdańsk University of Technology's Department of Electric Drive Automation and Energy Conversion, Faculty of Electrical and Control Engineering. His laboratory, the Electric Drive Automation Laboratory, focuses on experimental research in energy conversion systems. Research interests include: Sensorless control algorithms for induction motors Diagnostics of electric drive systems MPPT optimization for renewable energy Hybrid energy harvesting (solar/wave) Microgrid energy management His recent publications (2021-2025) demonstrate strong focus on: Efficiency optimization in electric motor drives Renewable energy subsystem design Real-time fault diagnosis techniques High-speed motor control innovations He teaches 89 courses including Control Systems in Renewable Energy, Programming Networking, and project-based CDIO courses in Energy Technologies.

Daniel Wachowiakمشاهده پروفایل

استادیار

• Electric Drive
• Sensorless Control
• Induction Machines
• +۲ مورد دیگر

Dr. Daniel Wachowiak is an Assistant Professor at the Department of Electric Drive Automation and Energy Conversion, Faculty of Electrical and Automation Engineering, Gdańsk University of Technology. He holds a PhD in Automation and Robotics (2016) and teaches part-time courses including Database Systems , Basics of Automation , and Data Mining . His research specializes in: Sensorless control systems for electric drives Fault diagnosis in induction motors using real-time algorithms Optimization of observer gains via genetic algorithms Rotor flux estimation in permanent magnet machines Recent publications (2020–2025) focus on improving efficiency and reliability in electric drives, with methodologies spanning theoretical modeling, computational optimization, and experimental validation. Common themes include harmonic analysis, observer design, and non-invasive diagnostics. Dr. Wachowiak’s office is located in Building A (Room EM-316) and he can be contacted via email.

• Automatic Control Systems
• Electric Machine Diagnosis
• Fault Detection and Tolerant Control
• +۶ مورد دیگر

Sandrine Moreau is an Associate Professor in Automatic Control and Systems at the National Higher School of Engineers of Poitiers (ENSIP), part of the University of Poitiers. She is affiliated with the LIAS (Laboratory of Informatics and Systems of Angers) laboratory, with offices at both ENSIP in Poitiers and ISAE-ENSMA in Chasseneuil. Dr. Moreau's research spans multiple areas within electrical engineering and control systems, with particular focus on electric machine diagnosis, fault detection and tolerant control, wind energy conversion systems, and permanent magnet synchronous motors. Her work demonstrates expertise in parameter estimation techniques, haptic interfaces, and power electronics applications. She has developed sophisticated control algorithms for various electromechanical systems, with emphasis on sensorless operation and robust performance under fault conditions. Analysis of her recent publications shows a strong trend toward practical implementations of control systems for renewable energy applications, particularly wind turbines, alongside continued work on fault diagnosis in electric machines. Her research combines theoretical developments with experimental validation, as evidenced by numerous papers describing hardware implementations and test bed validations. The interdisciplinary nature of her work bridges electrical engineering, control theory, and power systems. Dr. Moreau maintains active collaborations with researchers across France and internationally, as indicated by her extensive publication record with co-authors from various institutions. Her work appears in high-impact journals including IEEE Transactions on Industrial Electronics, Control Engineering Practice, and Sensors, demonstrating the relevance and quality of her research contributions to the field.

• Automatic Control
• Electrical Engineering
• Motor Control Systems
• +۷ مورد دیگر

Laurent Rambault is an Associate Professor with HDR (Habilitation à Diriger des Recherches) in Automatic Control and Systems at the University of Poitiers, France. He is affiliated with the Laboratory of Sensor Application Engineering (LIAS) at both ENSIP (École Nationale Supérieure d'Ingénieurs de Poitiers) and ISAE-ENSMA. His research focuses on advanced control systems, fault detection, and signal processing applications in electrical machinery and industrial processes. Dr. Rambault's primary research interests include sensorless control and fault detection in electrical machines, particularly induction motors and permanent magnet synchronous machines. He has developed significant expertise in tacholess order tracking methods, digital twin development for predictive maintenance, and advanced signal processing techniques for condition monitoring. His work bridges theoretical control systems with practical industrial applications across wind energy systems, industrial vacuum processes, and fluid dynamics. His research methodology often combines traditional signal processing with emerging machine learning techniques to improve diagnostic capabilities. His recent publications (2020-2024) demonstrate a clear progression toward more sophisticated diagnostic methodologies, with increasing integration of Physics-Informed CNNs alongside traditional signal processing approaches. His work shows strong industrial relevance, particularly in predictive maintenance applications for manufacturing and renewable energy sectors. The consistent publication record across high-impact journals reflects his sustained contribution to the field of electrical machine diagnostics. Dr. Rambault maintains active research collaborations with colleagues including Sebastien Cauet, Erik Etien, and Anas Sakout, as evidenced by his extensive co-authorship patterns. His laboratory work at LIAS focuses on developing advanced control strategies and diagnostic tools with direct industrial applications. The research group maintains strong connections with industry partners to ensure practical implementation of theoretical advances in control systems.