جست‌وجوی استاد و پژوهشگر

Jan Becker Høgsbergمشاهده پروفایل

دانشیار

• Structural Mechanics
• Dynamics of Structures
• Vibration Damping
• +۴ مورد دیگر

Jan Becker Høgsberg is an Associate Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). His research focuses on structural mechanics, with an emphasis on dynamics of structures, vibration damping, smart structures, and numerical modeling techniques. He has authored textbooks such as 'Statics and Mechanics of Structures' (2013, Springer) and actively contributes to education through courses like Structural Mechanics and Applied Mathematics. Education: Ph.D., Technical University of Denmark (2002–2006) BSc and MSc in Engineering, Technical University of Denmark (1996–2002) His research interests span smart structures, piezoelectric devices, active vibration control, and material modeling. He has pioneered methods for improving model accuracy through reduced complexity. Recent work includes advancements in piezoelectric shunt calibration and viscous inerter damper tuning. Notable awards include the Gorm-Petersen Memorial Award (2007) and Lecturer of the Year 2016. His projects address offshore wind turbine monitoring, structural health management, and 3D-printed piezoelectric implants for tremor control. He supervises PhD students in areas like electromechanical vibration control, structural degradation monitoring, and damage detection in civil infrastructure. His lab focuses on practical applications of computational mechanics and smart materials.

• Power Electronics
• Electric Motor Drives
• Renewable Energy Systems
• +۳ مورد دیگر

Giovanni Migliazza serves as a Research Fellow at the Department of Engineering Sciences and Methods, University of Modena and Reggio Emilia. His academic work focuses on advanced power electronics systems with particular emphasis on inverter topologies and motor drive applications. His primary research interests span Power Electronics , Electric Motor Drives , Renewable Energy Systems , and Control Systems . Notable contributions include innovative approaches to current source inverter (CSI) topologies, particularly the CSI7 architecture, with applications in photovoltaic integration and electric drives. His work addresses critical challenges in ground leakage current mitigation, thermal management, and efficiency optimization in power conversion systems. Analysis of his recent publications reveals strong focus on motor control strategies, including field-oriented control for hybrid stepper motors and sensorless techniques for permanent magnet synchronous machines. His research demonstrates consistent innovation in extending operational ranges of power converters while addressing practical implementation challenges in industrial applications. While no formal scientific awards are documented in available sources, his research output demonstrates significant contribution to power electronics engineering through numerous peer-reviewed publications and patent applications. His collaborative work spans multiple international research groups, with consistent contributions to IEEE transactions and conference proceedings. Migliazza maintains active research in wireless power transfer systems, particularly split-transformer architectures for compact inductive power transfer. His work bridges theoretical developments with experimental validation, as evidenced by frequent inclusion of hardware implementations and laboratory prototypes in his publications.

• Power Electronics
• Electrical Engineering
• Energy Systems
• +۳ مورد دیگر

Heath Hofmann is a Professor in the Department of Electrical and Computer Engineering. His research focuses on advanced energy systems, including electric machines, power electronics, and hybrid energy storage solutions. He emphasizes robust control strategies, battery management systems, and model predictive control applications. Hofmann's work often addresses challenges in electric vehicle powertrains, shipboard power systems, and renewable energy integration. Research interests include: Electric machine design and control Battery degradation and state-of-health estimation Hybrid energy storage systems Thermal management of power electronics Model predictive control for multi-energy systems His advising style prioritizes weekly one-on-one meetings and lab collaboration, with a focus on student-driven research progression. Hofmann encourages internships and conference participation (e.g., IEEE ECCE, APEC) to advance technical expertise. Key research contributions span topics like nonlinear magnetics modeling, fault detection in battery systems, and adaptive control strategies for high-power applications. Labs/Teams: Active in electric propulsion system design, energy storage optimization, and control algorithm development for industrial and maritime applications.

• Electronic Engineering
• Automation and Control Engineering
• Robotics
• +۳ مورد دیگر

Dr. Alex Stumpf is a Lecturer in the Department of Engineering at La Trobe University, specializing in electronic engineering and automation. He leads research in robotics and sensor technology applications for infrastructure maintenance, including sewer profiling robots and concrete condition assessment systems. His work has received the 2017 National AIIA iAwards for innovation in active RFID tracking devices. Education: BEng(Hons) from Monash University PhD in Electric Drives and Motor Control from La Trobe University Research focuses on automation solutions for civil infrastructure challenges, combining robotics with sensor technology. Key projects include sewer maintenance robots and remote water quality monitoring systems. Recent publications emphasize sensor integration and structural assessment techniques. Grants and Collaborations: Robotic Based Sewer Pipe Condition Assessment (SmartCrete CRC, 2024–2027) Power Supply Module Project 2 (Open Oceans Pty Ltd, 2023) Cover meter integration into 3PR+ (South East Water Corporation, 2022–2023) Labs/Groups: Active member of the RAMPS laboratory group and the Centre for Technology Infusion.

Alireza Bakhshaiمشاهده پروفایل

استاد

• Renewable Energy Systems
• Power Electronics
• Electrical Engineering
• +۷ مورد دیگر

Dr. Alireza Bakhshai is a Professor in the Department of Electrical and Computer Engineering at Queen's University, Canada. He holds a PhD from Concordia University (1997) and has served as faculty at Isfahan University of Technology and Queen's University. His research focuses on renewable energy systems, power electronics, control systems, and multilevel converter technologies. He has supervised 15 graduate students and currently advises/co-advises eight students. His work includes contributions to electric vehicle chargers, DC microgrid control, hybrid energy storage systems, and advanced inverter topologies. Education: PhD, Electrical Engineering (Concordia University, 1997); MSc and BSc (Isfahan University of Technology, 1986 and 1984). Research Interests: Renewable energy integration, multilevel converter design, reinforcement learning applications in power systems, and efficient energy management strategies. His recent publications emphasize AI-driven control methods for microgrids and electric vehicle systems. Awards: Not explicitly stated in provided materials. Advising & Grants: Supervised 15 graduate students, currently advising four and co-advising four. His research has addressed industrial challenges such as FACTS controllers for steel mills and unified power flow controllers. Lab/Teams: Active in power electronics and renewable energy research groups at Queen's, focusing on applied industrial solutions and academic-industry collaborations.

ADEM DALCALIمشاهده پروفایل

دانشیار

• Electrical Machinery Design
• Electromagnetic Systems
• Renewable Energy Systems
• +۳ مورد دیگر

ADEM DALCALI is an Associate Professor at the Faculty of Engineering and Natural Sciences, Bandırma Onyedi Eylül University, Department of Circuits and Systems. He holds roles as Department Head and College Director at the Bandırma Organized Industrial Zone Technical Sciences Vocational School, and Deputy Director at the Boron Technologies Application and Research Center. His research focuses on electrical machinery design, electromagnetic systems, and renewable energy technologies, with notable contributions to motor optimization, energy harvesting, and neural network applications in engineering. He has authored over 50 publications, including articles on electromagnetic launchers, permanent magnet generators, and energy consumption forecasting. Key projects include designing high-efficiency motors for electric vehicles, optimizing energy harvesters for UAVs, and developing sensorless control systems using AI. His work bridges theoretical advancements with practical applications in aerospace, renewable energy, and smart transportation systems.

Finn Jensenمشاهده پروفایل

دانشیار

• Electrical Engineering
• Renewable Energy
• Control Systems
• +۴ مورد دیگر

Finn Jensen is an Associate Professor at the Department of Electrical and Computer Engineering at Aarhus University. His research focuses on renewable energy systems, control systems, and sustainable engineering, with a particular emphasis on DC microgrids and sensorless motor drives. He is actively involved in curriculum development for sustainable electrical engineering education and holds patents related to rotor and centrifugal pump technologies. He serves on several committees, including CENELEC, the International Electrotechnical Commission (IEC), and Dansk Standard S502, contributing to electrotechnical standardization. His recent work includes studies on nonlinear Kalman filters for motor control, renewable energy supply for remote Greenland facilities, and magnetic modeling of permanent-magnet machines. Jensen has authored multiple peer-reviewed articles in journals like IEEE Transactions on Industry Applications and collaborates on patents addressing practical engineering challenges. His research bridges theoretical advancements with real-world applications in sustainable power systems and motor design.

• Sensor Design
• Signal Processing
• Servosystem Control
• +۵ مورد دیگر

Richard Kavanagh is a Senior Lecturer at University College Cork (UCC) in the School of Electrical & Electronic Engineering, directing the Mechatronics Research Laboratory. He holds a PhD from UCC and is a Chartered Engineer listed in Marquis Who's Who in Science and Engineering. His research focuses on sensor design, advanced signal processing, quantization effects analysis, servosystem control, and VR-based mechatronics education. He has held roles including Senior Research Scientist at PEI Technologies and Senior Project Engineer at SPS Laboratories. Education: BEng (Electrical) 1984, MEngSc 1985, PhD 1998 – all from UCC. Professional affiliations include Senior Member of IEEE (1994-1999) and membership in ASEE and IEI. Research interests emphasize theoretical and practical advancements in digital signal processing for quantized signals, nonuniform sampling, and mechatronics visualization. His work includes novel algorithms for velocity measurement, FIR filter design for quantized signals, and compliant mechanism synthesis. Publications span over three decades, with key contributions in IEEE Transactions, ASME, and international conferences. He serves as Associate Editor for IEEE Signal Processing Letters and has contributed to projects like the Blue City initiative addressing urban hydrology and sea level rise in Cork. Teaching includes modules on Industrial Automation and Robotics. His lab develops test systems for complex industrial processes and mechatronic visualization tools.

Paul Bartonمشاهده پروفایل

استاد

• Energy Systems Engineering
• Energy Efficiency
• Renewable Energy
• +۳ مورد دیگر

Paul Barton is a Professor in the Department of Chemical Engineering at the Massachusetts Institute of Technology (MIT), affiliated with the MIT Energy Initiative. His research focuses on energy systems engineering, particularly in energy efficiency, conventional and renewable energy technologies, and process optimization. He leads projects on liquid air energy storage (LAES), natural gas liquefaction processes, and hybrid polygeneration systems. His work integrates advanced mathematical modeling, nonsmooth analysis, and optimization techniques to address challenges in energy systems and chemical engineering. Recent research highlights include developing novel frameworks for energy storage feasibility analysis, optimizing LNG production processes, and advancing nonsmooth differential-algebraic equation (DAE) simulation tools. His projects often involve interdisciplinary collaborations with MIT’s Future Energy Systems Center and the U.S. Department of Energy. Barton has contributed to over 30 publications in 2021–2025 alone, covering topics from stochastic chemical systems to dynamic optimization of pharmaceutical manufacturing. His research portfolio demonstrates a strong emphasis on bridging theoretical advancements with practical industrial applications, particularly in decarbonization and sustainable energy infrastructure. Current work includes analyzing LAES economics in future electricity markets and improving decision-making under uncertainty for energy infrastructure investments.

Xing Zhaoمشاهده پروفایل

مدرس

• Electric Vehicles
• Power Electronics
• Motor Drives
• +۳ مورد دیگر

Xing Zhao is Lecturer in Electrical Engineering at the University of York's School of Physics, Engineering and Technology. His research develops advanced electric motor technologies, power electronics, and AI applications for electric vehicles. Current projects include next-generation sensorless motor drives and mechanical-tolerance-insensitive manufacturing methods for direct-drive electrical machines. Dr Zhao has authored over 90 technical papers and holds multiple patents in power electronics and motor control. He serves as Associate Editor for IEEE Transactions on Transportation Electrification and contributes to international standards in electric vehicle powertrain optimization. His work on hybridization chain reaction diagnostics enables instrument-free pathogen detection with near-PCR sensitivity.

Jonathan Kimballمشاهده پروفایل

استاد

• Power Electronics
• Microgrids
• Renewable Energy
• +۴ مورد دیگر

Jonathan Kimball is the Department Chair and Fred W. Finley Distinguished Professor of Electrical and Computer Engineering at Missouri University of Science and Technology. He holds a Ph.D. from the University of Illinois at Urbana-Champaign and a B.S. from Carnegie Mellon University. His research focuses on power electronics, microgrids, renewable energy systems, and electric vehicle charging infrastructure. He leads projects in extreme fast charging (XFC) and cyber-physical system security, including work with the Missouri S&T Satellite Research Team (M-SAT). Kimball has held roles at Motorola, Baldor Electric, and co-founded SmartSpark Energy Systems. He has served as director of Missouri S&T’s Center for Research in Energy and the Environment (2019–2022) and is a Senior Member of IEEE. His honors include multiple Faculty Excellence Awards and recognition as Outstanding Academic Advisor (2014). His work spans publications in IEEE Transactions and other journals, with a focus on power converter modeling, microgrid stability, and control strategies for renewable integration. He actively contributes to IEEE conferences and has developed educational tools for power electronics instruction.

Corneliu Mandrescuمشاهده پروفایل

دانشیار

• Control Systems
• Electrical Engineering
• Automation
• +۳ مورد دیگر

Corneliu Mandrescu is an Associate Professor at the Faculty of Mechanical and Electrical Engineering of the University of Petroșani, Department of Automation, Computers, Electrical and Power Engineering. His work focuses on control systems, electrical engineering, and automation, with a strong emphasis on sensorless control, motor control, and optimization techniques. He has contributed to advancements in vector control systems, Kalman filter applications, and system stability analysis. His research interests include the modeling and simulation of control systems, particularly in mining and industrial contexts, such as coal flow analysis in longwall mining systems and electric vehicle motion control. He has also explored sensor technology, transducers, and continuous process control, reflecting his interdisciplinary approach to automation challenges. Mandrescu’s publications span from foundational studies on system identification and estimator design to applied work in electrical drive systems and induction motor control. His work often integrates theoretical models with practical implementation, addressing real-world engineering problems. While no specific grants or awards are noted, his extensive publication record highlights sustained contributions to the field. He has advised no listed students, and his professional activities, including lab affiliations or ongoing projects, are not detailed in the provided text.

• Hydraulics
• Actuator Engineering
• Electric Motors
• +۱۲ مورد دیگر

Viacheslav Zakharov is a researcher at Tampere University's Department of Automation and Mechanical Engineering, specializing in hydraulics, electric drives, and sustainable mobile machinery. His work focuses on pump-controlled actuators, sensorless control systems, and AI-driven fault detection in hydraulic valves. Key research areas: Hydraulics, Actuator Engineering, and Electric Drives Contributions to energy harvesting systems and electrification of off-road vehicles Active in Sustainable Development Goals related to clean energy and industrial innovation Recent publications (2023-2024) demonstrate expertise in AI-based fault classification, electromechanical actuator design, and energy optimization for hydraulic systems. Collaborates with international researchers on fluid power and motion control applications. Collaborations visible in Scopus-indexed journals and conference proceedings, including the ASME/BATH Symposium and Actuators journal.

• Solar Energy Optimization
• Control Systems
• Remote Laboratories
• +۷ مورد دیگر

Fariba Moghaddam is an Ordinary Professor at HES-SO Valais-Wallis - Haute Ecole d'Ingénierie, leading the Power & Control orientation under the Institut Systèmes industriels. She specializes in renewable energy systems, control engineering, and educational technology, with a focus on solar energy optimization, remote laboratories, and sustainable development initiatives in the Global South. Her work spans academic leadership, research, and pedagogical innovation. Education: PhD in Control Engineering from École Polytechnique Fédérale de Lausanne (EPFL), 1996. Additional academic background in electrical and mechanical engineering. Research Interests: Solar tracking systems, photovoltaic-thermal (PVT) integration, machine learning applications in energy systems, remote experimentation platforms, and collaborative educational infrastructure. Recent projects include the Solar Energy Optimization via Remote Platforms and DEAR MENA (Digital Education & Research for MENA). Grants & Projects: Solar Energy Optimization (2022-2026): Swiss National Science Foundation-funded project developing cost-effective sun tracking solutions. DEAR MENA (2019-2024): Cluster fostering digital education partnerships between Swiss and MENA institutions. Sustainable Laboratories (2020-2021): Platform for redistributing lab equipment to emerging economies. MOOLs (2018-2021): Massive Open Online Laboratories for global engineering education. Labs & Infrastructure: Spearheaded the Remote Real-Time Research Platform for control engineering, enabling global access to lab equipment via secure web interfaces. Collaborates on IoT-integrated systems for remote experimentation and industrial automation. Awards: None explicitly listed, but recognized for contributions to sustainable energy and educational equity through numerous funded projects.

Xiaotao Zhangمشاهده پروفایل

پژوهشگر

• Electrical Machine Design
• Electric Drive Control Systems
• Power Electronics Converters
• +۳ مورد دیگر

Xiaotao Zhang is a researcher affiliated with the Department of Electrical and Electronic Engineering at The University of Manchester. His work focuses on electrical machine design, electric drive control systems, and power electronics converters, with a particular emphasis on cryogenic environments and renewable energy applications such as wave and tidal energy conversion. He holds a Doctor of Philosophy (2019) and two Bachelor of Engineering degrees (2015 and 2013) from The University of Manchester and North China Electric Power University. His research addresses challenges in energy efficiency, fault tolerance, and adaptive control strategies for sustainable energy systems. Education: Doctor of Philosophy, Electrical and Electronic Engineering, The University of Manchester (2015–2019) Bachelor of Engineering, Electrical and Electronic Engineering, The University of Manchester (2013–2015) Bachelor of Engineering, Electrical and Electrical Engineering, North China Electric Power University (2011–2013) Research Interests: Xiaotao’s work bridges theoretical and applied engineering, concentrating on advancing wave energy conversion systems, power take-off design, and fault-tolerant multiphase generator-rectifier systems. His studies emphasize computationally efficient modelling techniques, such as pseudo steady-state analysis for permanent magnet synchronous machines (PMSMs), and hardware integration for ocean energy demonstrators like the M4 system. Recent publications highlight trends in optimizing energy harvesting under varying sea conditions, hybrid energy storage solutions, and adaptive control strategies. Collaborations include interdisciplinary projects with institutions like the University of Manchester’s hydraulic and ocean engineering teams, focusing on scalable wave energy systems. His research contributes to UN Sustainable Development Goals, particularly addressing affordable and clean energy (SDG 7) and climate action (SDG 13) through innovations in renewable energy infrastructure.