جست‌وجوی استاد و پژوهشگر

• Wind Engineering
• Wind Turbine Design
• Bearing Systems
• +۳ مورد دیگر

Edward John Hart is a Senior Lecturer in Electronic and Electrical Engineering at the University of Strathclyde, specializing in wind and marine energy systems with expertise spanning wind turbine engineering, bearing systems, and renewable energy applications. His academic foundation includes: Doctor of Philosophy (PhD) in Wind and Marine Energy, University of Strathclyde (2018) Hart's research integrates Wind Engineering and Machine Learning to solve critical challenges in Turbine Dynamics and Bearing Systems . His work directly advances UN Sustainable Development Goals for clean energy through innovations in drivetrain reliability and offshore wind farm optimization, with strong emphasis on practical engineering solutions for renewable energy systems. Recent publications demonstrate a clear trajectory toward data-driven wind energy solutions, combining advanced modeling of mechanical components like tilting pad journal bearings with SCADA-based wake detection systems. This interdisciplinary approach bridges mechanical engineering, renewable energy, and data science to enhance turbine reliability and farm efficiency. Hart's recognition includes: EPSRC Doctoral Prize (2018) His supervisory work includes K. Davies' research on electric vehicle charging infrastructure. Current grant leadership spans industry-collaborative projects including "Turbine Suitability Assessment" (2025) and "Understanding the Impact of Uncertainty in Warranty Contracts for Solar Farms" (2025), focusing on system reliability and optimization for Renewable Energy Systems Limited. As an active Drivetrain Reliability Collaborative participant and organizer of Strathclyde's Game Changers internship program, Hart drives industry-academia partnerships to advance wind turbine technology and develop engineering talent.

• Applied Mechanics
• Experimental Modal Analysis
• Vehicle Dynamics
• +۷ مورد دیگر

Luca Dimauro serves as a Fixed-term Assistant Professor in the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin, affiliated with the College of Mechanical, Aerospace, and Automotive Engineering. His academic responsibilities include teaching Vehicle Dynamics Simulation for Automotive Engineering programs (AY 2024/25 and 2025/26), Mechanical System Dynamics for Mechanical Engineering (2023/24), and multiple iterations of Vehicle Mechanics and Applied Mechanics for Machines courses across both undergraduate and graduate programs. Dr. Dimauro's research focuses on applied mechanics with specialization in experimental modal analysis, experimental-numerical correlation, finite element methods, high-speed vehicles, magnetic transmissions, structural dynamic design of machines, vehicle dynamics, and vibrations. His work bridges theoretical mechanics with practical automotive applications, particularly in electric powertrains, tracked vehicle dynamics, and vibration control systems. The research integrates computational methods with experimental validation across diverse applications from automotive engineering to biomedical devices. His publication record shows a strong interdisciplinary trend combining mechanical engineering, electrical systems, and computational methods to solve complex dynamic problems. Recent work spans automotive innovation (electric powertrains, vehicle dynamics), biomedical applications (prosthetic legs), energy harvesting systems, and musical instrument analysis, demonstrating remarkable breadth while maintaining technical depth in structural dynamics. Dr. Dimauro actively contributes to the Vehicle Dynamics research group within DIMEAS, collaborating on projects involving magnetic transmission systems, vibration analysis, and vehicle dynamics optimization. His patents on parametric dynamic dampers with self-powered sensor functionality and contactless magnetic gear shifting demonstrate practical applications of his research with significant industrial relevance.

Martin Doppelbauerمشاهده پروفایل

استاد

• Hybrid and Electric Vehicles
• Electromechanical Systems
• Thermal Management
• +۵ مورد دیگر

Prof. Martin Doppelbauer is a Professor at the Karlsruhe Institute of Technology (KIT), leading the Professorship for Hybrid Electric Vehicles (HEV) within the Department of Electrical Engineering and Information Technology (ETIT). His research focuses on hybrid and electric vehicle technology, electromagnetic design, and thermal management of electric drives. He serves as Dean of Studies for Mechatronics and teaches courses on electromagnetic fields, electric drives, and hybrid vehicle systems. Research interests include electromechanical systems design, high-speed motor technologies, and sustainable energy systems integration. Key projects involve optimizing traction motor cooling, developing novel winding configurations (e.g., hairpin windings), and advancing materials for electric vehicle components. The professorship, established in 2011, collaborates with industry on practical applications of hybrid/electric vehicle technologies. His publications emphasize thermal analysis, drive train efficiency, and motor design innovations. Current works address challenges in energy storage, charging systems, and lifecycle assessments of electric mobility solutions. The research group is based at KIT’s Electrical Engineering Institute (ETI) with facilities on both South and East campuses.

• Marine Engineering
• Renewable Energy
• Offshore Wind Energy
• +۴ مورد دیگر

About Erin Bachynski-Polić Erin Bachynski-Polić is a Professor in the Department of Marine Engineering at NTNU. She holds a PhD from NTNU (2014) and a BSE/MS from the University of Michigan. Her research focuses on marine structures for renewable energy, including fixed and floating wind turbines, hydroelasticity, and design optimization. She has been involved in major projects like SFI BLUES (2020-2028) and FLOAWER (EU-funded). Key research areas include global analysis of wind turbine dynamics, higher-order wave loads, and mooring system design. She teaches courses such as TMR4182 Marine Dynamics and modules in TMR4505 and HAV6000/6001. Education PhD, Marine Engineering, NTNU (2014) MS & BSE, University of Michigan (2009–2010) Research Interests Her work addresses challenges in offshore wind energy, including hydroelastic interactions, mooring system optimization, and floating platform dynamics. She emphasizes experimental validation and computational modeling, with recent studies on wave load effects and structural fatigue analysis. Grants & Projects Notable projects include WAS-XL (2017–2021), Green Energy at Sea (2018–2022), and WindBarge (2023–2025). These projects focus on advancing offshore wind technologies, improving structural reliability, and reducing environmental uncertainties. Labs & Collaborations She collaborates with institutions like the University of Michigan and SINTEF. The HELOFOW project database (Zenodo) showcases experimental datasets from her lab.

• Harmonics
• Synchronous Machines
• Permanent Magnet Motors
• +۴ مورد دیگر

Yuchen Wang is a Researcher in the Department of Electronic & Electrical Engineering at the University of Bath, specializing in electrical machine design for electric vehicles and aerospace systems. His core research areas include: Harmonics and eccentricity effects in permanent magnet synchronous motors Electromagnetic noise and vibration analysis Surrogate modeling for motor optimization Superconducting motor applications in aircraft Recent work demonstrates concentrated innovation in in-wheel traction motors and steer-by-wire systems, leveraging analytical modeling and finite element methods to address cogging torque, back-EMF anomalies, and harmonic noise—directly advancing EV drivetrain reliability and performance.

• Wind Turbines
• Fault Detection
• Modal Analysis
• +۵ مورد دیگر

Jan Helsen is a Professor of Engineering Technology at Vrije Universiteit Brussel (VUB), leading the Acoustics & Vibrations Research Group. His primary affiliation is within the Faculty of Engineering Technology, focusing on advanced research in renewable energy systems, offshore wind technology, and predictive maintenance. He actively collaborates with industry partners and governmental institutions, as seen in projects like the Belgian Offshore Wind Innovation Centre (2024–2027) and the INSPIRE initiative under the Sustainable Blue Economy Partnership. Helsen’s research emphasizes wind turbine reliability, fault detection algorithms, and AI-driven operational optimization. His work bridges mechanical engineering principles with data science, addressing challenges such as drivetrain health monitoring, wake effect modeling, and hybrid energy systems. Recent contributions include modular deep learning frameworks for wind farm power forecasting and reinforcement learning strategies for hybrid wind-hydrogen plants. He has secured significant funding through projects totaling over €10M, including the €3M ICON (Cloud-edge AI for Offshore Wind O&M) and the €2.5M INSPIRE initiative. Helsen’s team publishes extensively in journals like Mechanical Systems and Signal Processing and Wind Energy Science , with a focus on practical solutions for offshore energy challenges. His lab also pioneered datasets on hyperspectral analysis of additive manufacturing processes, demonstrating interdisciplinary reach. Key collaborations include INSA Lyon (France) for joint PhD programs and the Royal Meteorological Institute for weather simulation studies. Helsen’s work is cited over 1,078 times (h-index 16), reflecting his influence in advancing offshore wind infrastructure resilience and smart energy systems.

Jon Kellerمشاهده پروفایل

پژوهشگر

• Wind Energy
• Drivetrain Technology
• Gearbox Systems
• +۵ مورد دیگر

Jon Keller is a researcher at the National Renewable Energy Laboratory (NREL) specializing in drivetrain technology for wind turbines. He leads projects focused on enhancing drivetrain performance, power density, and reliability, particularly through field testing at the NREL Flatirons Campus. Current affiliation: National Renewable Energy Laboratory (NREL) Past affiliation: U.S. Army at Redstone Arsenal Education: PhD in Aerospace Engineering, Pennsylvania State University Master’s in Aerospace Engineering, Pennsylvania State University Bachelor’s in Aerospace Engineering, Pennsylvania State University Jon’s research interests center on wind energy systems, with a focus on mechanical reliability, gearbox design, and drivetrain failure analysis. His work spans both theoretical and practical approaches, including the development of condition monitoring systems and advanced drivetrain models. Recent publications highlight his contributions to fiber-optic torque measurement, bending moment analysis in turbines, and offshore wind maintenance strategies. Collaborative efforts with institutions like the Department of Energy emphasize his role in advancing renewable energy frameworks.

• Electrical Machines
• Power Electronics
• Sustainable Electrical Systems
• +۳ مورد دیگر

Yujing Liu is a Full Professor at Chalmers University of Technology's Department of Electrical Engineering, specifically in the Electric Power Engineering unit. With 17 years of prior industrial experience at ABB Corporate Research as a Senior Principal Scientist, he transitioned to academia in 2013. His research focuses on electrical machines, power electronics, and sustainable electrical systems, particularly for renewable energy conversion and transportation electrification. Current projects include high-sustainability electrical machines (up to 400 kW), SiC inverters (up to 500 kW), motor emulator development, heavy-duty vehicle electrification, and 500 kW inductive power transfer systems. Professor Liu serves as Head of Unit for Electrical Machines and Power Electronics since 2018 and leads Chalmers' contributions to 4 EU Horizon2020 and 2 Marie-Curie projects. He mentors 4 postdocs, 5 PhD students, and a dozen master's students, while teaching annual courses on electrical machine design and wide-bandgap power converters. His 88 publications (2013-2025) investigate advanced motor control algorithms, thermal management in traction systems, high-frequency excitation methods, and hybrid energy storage solutions. Research keywords include Electrical Engineering, Sustainable Energy, Transportation Electrification, and Industrial Electronics, with subfields addressing SiC inverters, electric vehicle drivetrains, and inductive charging systems. Key projects funded by Swedish Energy Agency and European Commission cover applications in marine propulsion, heavy-duty vehicles, and renewable energy integration, emphasizing high-efficiency powertrain development and reliability improvements in traction motor insulation systems.

David L. Burrisمشاهده پروفایل

دانشیار

• Materials Tribology
• Biomechanical Engineering
• Clean Energy & Environment
• +۴ مورد دیگر

Dr. David L. Burris is an Associate Professor in the Mechanical Engineering Department at the University of Delaware, College of Engineering. He holds a PhD and BS in Mechanical Engineering from the University of Florida. His research focuses on materials tribology, particularly in space lubrication, joint disease prevention, and wind turbine reliability. He leads the Materials Tribology Laboratory and has been recognized with awards such as the 2009 AFOSR Young Investigator Award and the 2011 University of Florida Outstanding Young Alumnus Award. Education: PhD in Mechanical Engineering, University of Florida (2007) BS in Mechanical Engineering, University of Florida Research Interests: Biomechanical Engineering: Investigating cartilage lubrication and tribology for joint health. Clean Energy: Developing wear-resistant materials for wind turbine drivetrains. Nanotechnology: Exploring nanocomposites and surface engineering for low-wear polymers. Publications: Dr. Burris has published extensively on cartilage biomechanics, tribological rehydration, and polymer nanocomposites. Recent work emphasizes the interplay between mechanical activity and cartilage function, as well as novel lubrication strategies for aerospace and biomedical applications. Awards: 2009 AFOSR Young Investigator Award 2008 ASME Marshall B. Peterson Award 2009 STLE Walter D. Hodson Award 2010 ASME Pi Tau Sigma Gold Medal 2011 University of Florida Outstanding Young Alumnus Award Advising & Grants:** Dr. Burris has secured patents in polymer nanocomposites and lubrication strategies. His work bridges fundamental tribology research with translational applications in biomedical devices and renewable energy systems. Labs/Teams:** Director of the Materials Tribology Laboratory, collaborating on interdisciplinary projects in biomaterials and advanced manufacturing.

Mehrdad Kazeraniمشاهده پروفایل

استاد

• Power Electronics
• Renewable Energy Integration
• Electric Vehicles
• +۳ مورد دیگر

Dr. Mehrdad Kazerani is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. His research focuses on power electronics, renewable energy integration, electric vehicles, energy storage systems, and microgrids. He has extensive experience in multidisciplinary projects funded by NSERC, ESTAC, and industry partners like Hydro One and GM. Dr. Kazerani has supervised numerous students and contributed to IEEE editorial roles. He advises the University of Waterloo's Alternative Fuels Team (UWAFT) and Formula Electric Vehicle team. Education: Ph.D., Electrical Engineering, McGill University, Canada (1995) Master's, Electrical Engineering, Concordia University, Canada (1990) Bachelor's, Electrical and Electronic Engineering, Shiraz University, Iran (1980) Research Interests: Power electronic converter modeling/control, hybrid energy storage systems, electrified vehicular powertrains, renewable energy integration, and AC/DC microgrid design. His work emphasizes smart grid technologies, energy access, and grid resilience. Grants & Contributions: Secured funding from NSERC, OCE, and industry partners. Active in IEEE technical committees, conference organization, and journal editing. Served on national research panels and as an external PhD examiner. Labs & Teams: Leads the Canadian Renewable Energy Laboratory and advises student teams focused on alternative fuels and electric vehicles.

Nathan Postمشاهده پروفایل

عضو هیئت علمی

• Wind Energy Optimization
• Machine Learning Applications
• Additive Manufacturing
• +۳ مورد دیگر

Nathan Post is a Research Associate Professor at Northeastern University's Roux Institute with joint appointments in Civil and Environmental Engineering and Mechanical and Industrial Engineering. His research applies machine learning to optimize physical systems in renewable energy and manufacturing. Key research areas: Machine learning for wind farm performance optimization Additive manufacturing process characterization Reverse osmosis membrane fouling mitigation Experimental mechanics for renewable energy systems Publications demonstrate cross-disciplinary approaches combining experimental mechanics with machine learning. Recent work focuses on wind turbine wake steering, corrosion-resistant alloy discovery, and drivetrain reliability prediction. Serves as technical advisor to the ReWind Network for wind blade repurposing and develops educational tools for fluid power curriculum. Research employs field data analytics from wind farm SCADA systems and laboratory-scale material testing.

• Nonlinear Dynamics
• Friction Contact Modeling
• Structural Dynamics
• +۷ مورد دیگر

Ender Ciğeroğlu is a Professor and Vice Rector at the Middle East Technical University (METU), Department of Mechanical Engineering. He holds a Ph.D. from The Ohio State University (2007) and academic degrees from METU (B.Sc. 1999, M.Sc. 2002) and Ohio State University (M.Sc. 2006). His research focuses on nonlinear dynamics, friction contact modeling, and vibration analysis of mechanical systems, particularly gas turbine blades, gear dynamics, and micro/nano-scale structures. Education: B.Sc. Mechanical Engineering, METU, 1999 M.Sc. Mechanical Engineering, METU, 2002 M.Sc. Mechanical Engineering, Ohio State University, 2006 Ph.D. Mechanical Engineering, Ohio State University, 2007 Research Interests: Nonlinear vibration analysis of bladed disks and mistuning identification Friction damping mechanisms in turbine engines Gear dynamics and dynamic transmission error reduction Energy harvesting via nonlinear metastructures Fluid-structure coupling in rotor systems Key Projects: Developed BDamper software for bladed disk analysis used by Rolls-Royce and GUIde Consortium Recipient of TÜBİTAK grants for vibration isolation systems and bladed disk mistuning research Collaboration with Rolls-Royce for industry-focused turbine blade research Lab Activities: Director of Vibrations Laboratory focusing on turbine blade dynamics Hosts visiting researchers from international institutions Supervises over 30 graduate students in nonlinear dynamics and vibration control

Oliver Menckمشاهده پروفایل

پژوهشگر

• Wind Energy
• Wind Turbine Design
• Fatigue Analysis
• +۳ مورد دیگر

Oliver Menck is a Researcher at the Fraunhofer Institute for Wind Energy Systems (IWES) in Germany, where he serves as a Research Associate specializing in wind turbine component reliability. His work focuses on critical mechanical systems within renewable energy infrastructure. His research expertise spans: Wind Energy : Fundamental and applied research in utility-scale wind power generation Wind Turbine Design : Structural optimization of rotor systems and drivetrain components Fatigue Analysis : Lifetime prediction methodologies for high-stress mechanical elements Bearing Technology : Validation of calculation methods for unique blade bearing systems Mechanical Reliability : Addressing extraordinary load situations in rotating machinery Structural Engineering : Material behavior under cyclic loading conditions Menck's current work confronts significant challenges in predicting rotor blade bearing fatigue lifetime due to insufficient validation of existing calculation methods for these specialized components.

Birgit Vogel-Heuserمشاهده پروفایل

استاد

• Systems Engineering
• Software Engineering
• Embedded Systems
• +۶ مورد دیگر

Prof. Dr.-Ing. Birgit Vogel-Heuser is a Full Professor and Director of the Chair of Automation and Information Systems at the Technical University of Munich (TUM), within the TUM School of Engineering and Design. She holds leadership roles as Vice Dean for Research and Innovation and is involved in strategic initiatives like the Munich Institute of Robotics and Machine Intelligence (MIRMI). Her research focuses on evolvable automation architectures, human-machine interaction, and data-driven manufacturing processes. Education: Diploma in Electrical Engineering (RWTH Aachen, 1987), PhD in Mechanical Engineering (RWTH Aachen, 1990). Industry Experience: Over 10 years in industrial automation, including roles at Phoenix Contact GmbH. Leadership Roles: Head of TUM Strategy and Study Commission for Mechanical/Process Engineering Faculties (since 2025) IEEE Fellow (2023) and Distinguished Lecturer (IEEE RAS) Member of Bavarian Academy of Sciences and Humanities (acatech) Research Interests: Systems/software engineering, embedded systems, Industry 4.0/5.0, digital twins, and cyber-physical systems. Key projects include the KI.FABRIK Bayern initiative and the DFG-funded Priority Program SPP 2422 on data-driven process modeling. Awards: Federal Cross of Merit (2024), IEEE Fellow, Borchers Plaque (1991), and others. Grants/Projects: Lead roles in over 30 funded projects, including CRC 768 and SPP 1593 on software evolution. Publications: Over 200 journal/conference papers, including impactful work on industrial agents and automation architectures. Labs/Teams: Leads the MIRMI 'Work' sector and collaborates with industry partners like Grammer AG and HAWE Hydraulik SE. Active in standardization (e.g., IEEE 2660.1-2020).

Markus Kleyمشاهده پروفایل

استاد

• Drive Technology
• Mechanical Engineering
• Condition Monitoring
• +۱۲ مورد دیگر

Prof. Dr. Markus Kley is a Professor at Aalen University in the Faculty of Mechanical Engineering and Materials Science, where he serves as the contact person for the Institute for Drive Technology Aalen (IAA). His research and teaching focus on drive technology and waste heat utilization, with a strong emphasis on applied mechanical engineering and system diagnostics. He is actively involved in research projects related to electrified powertrains, condition monitoring, and machine learning applications in mechanical systems. His research interests include vibration analysis, digital twin development, sensor integration, efficiency modeling of electric drive units, and fault detection in electromechanical systems. He applies machine learning and simulation techniques to improve the performance and reliability of drive systems, particularly in off-highway and special vehicles. His work bridges mechanical engineering with data science, focusing on real-world industrial applications. The trend in his recent publications (2019–2022) shows a strong focus on intelligent condition monitoring, using vibration data and machine learning for fault diagnosis in bearings and gearboxes. He also investigates efficiency optimization in electrified transmissions and develops digital twins for motor and drivetrain simulation. His work frequently appears in engineering conferences and journals related to mechanical systems, measurement technology, and applied computing. Prof. Kley collaborates with researchers across Germany and has contributed to numerous peer-reviewed publications and conference proceedings. While no scientific awards are explicitly mentioned, his sustained research output and leadership in projects indicate recognition in his field. He advises students on theses and dissertations and leads research projects in drive technology. His work involves experimental validation, simulation, and industrial collaboration, particularly in the development of advanced drivetrain components and diagnostic systems. He is affiliated with the Institute for Drive Technology Aalen (IAA), which serves as a hub for applied research in mechanical drive systems, partnering with industry to develop innovative solutions in power transmission and energy efficiency.