جست‌وجوی استاد و پژوهشگر

• Power Electronics
• Electric Machines and Energy Conversion
• Renewable Energy Systems
• +۳ مورد دیگر

İres İSKENDER is a full-time Professor at Çankaya University's Faculty of Engineering, Department of Electrical and Electronics Engineering. He holds a PhD from Middle East Technical University (1996), an MSc from the same institution (1991), and a BSc from Gazi University (1987). His academic roles include serving as the Department Chairman since 2023. Education History: PhD: Electrical and Electronics Engineering, Middle East Technical University (1991-1996) MSc: Electrical and Electronics Engineering, Middle East Technical University (1989-1991) BSc: Electrical and Electronics Engineering, Gazi University (1986-1987) Research Interests focus on Power Electronics, Electric Machines, Renewable Energy Systems, and Energy Conversion. His work emphasizes transformer optimization, power quality improvement, and high-efficiency energy systems. Recent publications highlight advancements in transformer design for solar plants, soft-switching converters, and aerospace applications. Advising and Grants: Supervised over 68 theses, including PhD and master’s students in areas like power electronics and renewable energy. Led projects on transformer thermal optimization, HVDC converter design, and UAV motor systems. Courses taught include Advanced Power Electronics and Electrical Machines. Labs/Teams: Active in electrical engineering laboratories at Çankaya University, focusing on power systems, renewable energy integration, and high-voltage engineering.

• Virology
• Gene Therapy
• Adeno-associated Virus Research
• +۵ مورد دیگر

Dr. Phillip Tai is an Assistant Professor at UMass Chan Medical School, with appointments in the T.H. Chan School of Medicine's Department of Genetic and Cellular Medicine and Department of Microbiology, as well as the Morningside Graduate School of Biomedical Sciences' Interdisciplinary Graduate Program. His laboratory focuses on virology and vectorology of adeno-associated viruses, with research that bridges basic science and therapeutic applications. Dr. Tai received his BA in Molecular Cellular Biology from the University of California, Berkeley, and his PhD in Biochemistry from the University of Washington. His educational background provided the foundation for his current research in gene therapy vectors and viral delivery systems. His research interests center on adeno-associated virus (AAV) vector development, with particular emphasis on capsid engineering, vector production optimization, and tissue-specific targeting. His work spans fundamental virology, molecular biology, and translational applications for treating genetic disorders. Current projects include developing novel AAV capsids with improved tissue targeting capabilities, optimizing vector production systems for clinical applications, and investigating safety profiles of viral vectors for gene therapy. Analysis of Dr. Tai's recent publications reveals a strong focus on AAV vector engineering and production methodologies. His research demonstrates consistent advancement in understanding viral vector heterogeneity, capsid modifications for improved delivery, and tissue-specific targeting strategies. The publications show increasing sophistication in analytical techniques, with growing use of next-generation sequencing methods to characterize viral vectors at the molecular level. Dr. Tai actively collaborates with prominent researchers in the field, including Guangping Gao (his primary collaborator), Jun Xie, and Dan Wang. His work has significant implications for gene therapy applications across multiple disease areas including liver diseases, neurological disorders, and ocular conditions. His laboratory maintains an active research program with multiple ongoing projects related to AAV vector development. The lab focuses on both fundamental virology questions and translational applications, with particular attention to vector safety, production efficiency, and tissue-specific delivery mechanisms.

• Power Electronics
• DC-DC Converter Design
• Multilevel Inverter Topologies
• +۳ مورد دیگر

Seyed Hossein Hosseini is a researcher affiliated with the University of Tabriz, Iran. His work focuses on power electronics, particularly in the design and optimization of DC-DC converters, multilevel inverters, and renewable energy systems. Key contributions include high step-up converter topologies, modular converter structures, and coupled inductor applications. He has collaborated extensively with researchers like Mehran Sabahi, Ebrahim Babaei, and Gevork Babamalek-Gharehpetian. His research appears in reputable journals such as IEEE Transactions on Industrial Electronics and International Journal of Circuit Theory and Applications.

Greg Riceمشاهده پروفایل

دانشیار

• Functional Data Analysis
• Change Point Analysis
• Time Series Analysis
• +۵ مورد دیگر

Greg Rice is an Associate Professor and Associate Chair - Graduate Studies at the University of Waterloo , affiliated with the Department of Statistics and Actuarial Science within the Faculty of Mathematics. His research focuses on functional data analysis, change point detection in time series, and statistical inference in complex systems. He has developed methodologies for analyzing high-dimensional data, including applications in finance and biostatistics. Key contributions include the fChange R package for functional data change point analysis and work on tumor microenvironment modeling using machine learning. His academic work bridges theoretical statistics with practical applications, addressing challenges in functional time series, panel data, and stochastic processes. Notable areas of investigation include covariance operator analysis, goodness-of-fit testing, and sequential monitoring techniques. Rice’s research also explores interdisciplinary topics like chemotaxis dynamics in cell biology and real-time forecasting in sports analytics. Rice maintains an active role in statistical software development and has published extensively on foundational methods in functional data analysis. His work emphasizes robust statistical techniques for non-stationary and heterogeneous datasets.

Guilherme Fróes Silvaمشاهده پروفایل

مدرس

• Control Systems
• Robotics
• Aerospace Engineering
• +۵ مورد دیگر

Dr. Guilherme Fróes Silva is a Lecturer in the School of Electrical Engineering and Robotics at Queensland University of Technology (QUT), and an Associate Investigator with the QUT Centre for Robotics. His research focuses on aerospace characterisation, collision risk modeling, and control of scalable networked systems, including applications in microgrids, vehicle platoons, and UAV operations. He teaches units such as Modern Control, Control and Dynamic Systems, and Mechatronics Design I. Education: BEng in Control and Automation Engineering (PUCRS, Brazil, 2015); MPhil (PUCRS, 2017); PhD in Engineering (QUT, 2023). Research interests include: Collision risk assessment for autonomous systems Stability and scalability of networked control systems Microgrid dynamics and inverter control Vehicle platooning with disturbance rejection Real-time image processing for aerial applications Key research trends in his publications emphasize safety-critical systems (e.g., UAV collision avoidance) and foundational control theory applied to emerging technologies like microgrids and robot networks. He leads the project Advancing precision control in atomic force microscopy as Chief Investigator. Affiliations: QUT Centre for Robotics, School of Electrical Engineering and Robotics. No awards explicitly listed in provided texts.

Paweł Maciągمشاهده پروفایل

استادیار مدعو

• Multibody System Dynamics
• Optimal Control Methods
• Mechanical Engineering
• +۳ مورد دیگر

Paweł Maciąg is an Adjunct Assistant Professor at the Division of Theory of Machines and Robots, Faculty of Power and Aeronautical Engineering, Warsaw University of Technology. His research focuses on multibody system dynamics, optimal control methods, and optimization in engineering systems. He teaches advanced courses such as Theory of Machines and Mechanisms I, Real-Time Systems, and Dynamics of Multibody Systems I. His research interests include kinematics and dynamics of complex multibody systems, optimal control methodologies, and computational approaches to system dynamics. He has contributed to advancements in adjoint methods for multibody systems and sensitivity analysis. His work often intersects with robotics and mechanical engineering, emphasizing practical applications in control and optimization. Maciąg collaborates on projects involving Hamiltonian-based formulations and parallel computing techniques for multibody dynamics simulations. His publications span journals like Multibody System Dynamics and International Journal for Numerical Methods in Engineering , with notable contributions to ECCOMAS conferences and robotics symposiums.

• Biomedical Engineering
• Medical Biotechnology
• Macromolecular and Materials Chemistry
• +۳ مورد دیگر

Dr. Richard Williams is an Associate Professor in the School of Engineering at RMIT University, specializing in biomedical engineering, materials chemistry, and medical biotechnology. His work bridges engineering and life sciences, focusing on biomaterials, regenerative medicine, and nanotechnology applications. He holds a PhD and has contributed to over 69 research outputs, including peer-reviewed journals and conference papers. Research Interests : Biomedical Engineering Medical Biotechnology Macromolecular Chemistry Materials Engineering Drug Delivery Systems Recent Articles explore topics like energy systems, grid integration, and biomedical diagnostics, reflecting his interdisciplinary approach. Dr. Williams is actively involved in student supervision and industry collaborations, advancing practical solutions in sustainable energy and healthcare technologies.

• Power Electronics
• Renewable Energy
• Electrical Engineering
• +۵ مورد دیگر

Dr. Richardt Wilkinson is a Senior Lecturer in the School of Engineering at RMIT University, Australia. His research focuses on power electronics, modulation theory, renewable energy systems, and the integration of artificial intelligence into energy and biomedical applications. He is actively involved in projects addressing grid stability, energy demand management, and smart grid technologies. His research interests span electrical engineering, with a particular emphasis on power converter control strategies, renewable energy integration, and the application of machine learning to energy systems. He has contributed to advancements in dual active bridge (DAB) converter design, grid-tied inverter stability analysis, and harmonic disturbance mitigation. Dr. Wilkinson’s recent work includes investigations into demand management strategies for electric vehicle (EV) impact mitigation, stock market crash forecasting using deep learning, and localized distributed energy resource (DER) solutions. He also explores biomedical engineering applications, such as sleep stage detection using multimodal sensors and neural networks. He is open to supervising PhD and Master’s students in areas such as modulation techniques for multi-active bridge converters, AI-driven energy optimization, and stability analysis of grid-connected systems. His research aligns with RMIT’s focus on sustainable technologies and interdisciplinary innovation.

• Power Electronics
• Electrical Engineering
• Renewable Energy Systems
• +۴ مورد دیگر

Dr. Carlos Teixeira is a Senior Lecturer in the School of Engineering at RMIT University, Australia. His research focuses on Power Electronics, Electrical Engineering, and Renewable Energy Systems, with a particular emphasis on Multilevel Converters, Soft Switching Techniques, and Grid-Connected Converter Design. He actively supervises research projects in areas such as thermal storage applications, common-mode mitigation in converters, and microgrid control. Research Interests Modular Multilevel Converters (MMCs) Soft Switching Strategies for DC-DC Converters Grid Synchronization and Control Microgrid Power Management High-Power Energy Conversion Systems Recent Research Trends Dr. Teixeira's recent work emphasizes advancing modular converter architectures for efficient energy storage and distribution. His publications address challenges in harmonic analysis, stability assessment of grid-tied inverters, and FPGA-based real-time simulation platforms. Key themes include optimizing ZVS operation in DAB converters, developing sensorless grid synchronization schemes, and enhancing the resilience of distributed energy systems. Supervision & Grants He oversees projects on thermal conductivity improvements for phase change materials (PCMs), decentralized phase disposition modulation for MMCs, and autonomous power management in hybrid microgrids. While specific grants are not detailed, his research aligns with RMIT's focus on sustainable energy solutions and smart grid technologies.

Manoj Dattaمشاهده پروفایل

مدرس ارشد

• Renewable Energy Systems
• Smart Grid Technology
• Energy Storage Systems
• +۳ مورد دیگر

Dr. Manoj Datta is a Senior Lecturer at RMIT University's School of Engineering, specializing in the modeling and control of renewable energy systems, energy storage, and electric vehicle integration. He holds a Chartered Professional Engineer certification and has held academic positions at RMIT since 2013 and Gifu University in Japan from 2012-2013. His research focuses on smart grids, microgrid stability, and renewable energy system optimization. Research Interests: Optimal sizing of PV, wind, and battery systems; hybrid AC/DC microgrid control; distributed generation (DG) modeling and forecasting; AI-based grid integration of energy storage and EVs; motor drives (IM, SRM, PMSG, etc.). Professional Activities: Journal reviewer for IEEE Transactions on Power Systems, Smart Grid, and others; invited speaker at IEEE conferences; technical program committee member for over 15 IEEE events. Awards include the JSPS postdoctoral fellowship (2011-2012). Teaching & Supervision: Advising on projects related to renewable energy integration, EV charging management, and grid-forming inverter stability. Open to supervising Masters and PhD students in these areas.

Amir Sajjad Bahmanمشاهده پروفایل

دانشیار

• Reliability of Power Electronic Components
• Electro-Thermo-Mechanical Modeling
• WBG Devices
• +۵ مورد دیگر

Amir Sajjad Bahman is an Associate Professor at the Center of Reliable Power Electronics (CORPE), Aalborg University, Denmark. His research focuses on reliability, electro-thermo-mechanical modeling, and thermal management of power electronic systems. He holds a B.Sc. from Iran University of Science and Technology (2008), an M.Sc. from Chalmers University of Technology (2011), and a Ph.D. from Aalborg University (2015). He has held roles including Visiting Scholar at the University of Arkansas (2014) and Thermal Engineer at Danfoss Silicon Power (2014). Bahman is a Senior Member of IEEE and serves as an Associate Editor for IEEE Transactions on Transportation Electrification and Elsevier Microelectronics Reliability. He leads the Reliability of Power Electronic Components (REPEC) research group and coordinates the Danish Power Electronics Reliability Test Facilities (X-Power). His work addresses WBG devices, physics-of-failure analysis, and multiphysics modeling, contributing to UN Sustainable Development Goals related to sustainable energy and industry innovation. Research interests include reliability testing, thermal design, and failure mode analysis of power electronics components. Key projects include TEAMING (predictive maintenance for e-powertrains) and ALL2GaN (affordable GaN IC solutions). Over 75 publications span topics like thermal network models, mission profile analysis, and semiconductor aging. His contributions advance energy-efficient power systems and sustainable technologies.

Heng Wuمشاهده پروفایل

استادیار

• Power Electronics
• Renewable Energy Systems
• Power System Stability
• +۳ مورد دیگر

Heng Wu is an Assistant Professor at Aalborg University's Faculty of Engineering and Science, within the Power Electronics System Integration and Materials department. He specializes in power electronics, renewable energy systems, and grid stability. His research focuses on grid-forming converters, impedance modeling, and control systems for modern power grids. He has supervised two PhD students and contributed to projects like 'Development of Grid Supporting Functionalities for Fast Charging Stations' and 'AI-Stability: Automated Impedance Measurement Toolbox for Power System Stability Analysis.' Education: PhD (Awarded July 2020). Research interests include voltage source converters, stability analysis, and grid integration of renewable energy. He has published extensively on topics like fault ride-through control, impedance-based detection methods, and hybrid converter systems. His work emphasizes enhancing grid resilience and improving the stability of power systems with high renewable penetration. Notable projects include developing methodologies for small-signal stability assessment in energy islands and coordinated converter-control for offshore wind farms. His research also addresses challenges in offshore wind farm modeling and dynamic model reduction. Award: Recipient of the Institution of Engineering and Technology 2017 2nd Prize for contributions to power generation and renewable energy systems. Key collaborations involve institutions like Innovation Fund Denmark and academic partnerships focused on offshore wind integration and HVDC systems. His work bridges theoretical advancements with practical applications in smart grids and renewable energy infrastructure.

• Chemistry
• Electronics
• Industrial Engineering
• +۳ مورد دیگر

Dr. Elisa Garcia-Tabares Valdivieso is an Assistant Professor in the Department of Physics at Carlos III University of Madrid. Her research focuses on advanced materials for solar energy applications, semiconductor growth techniques (e.g., MOVPE), and surface engineering for electron emission control. Key areas include GaAs/Si integration for multijunction solar cells, structural color generation via plasmonics, and cryogenic material behavior for accelerator technologies. Research Groups: Advanced materials for solar energy applications Teaching Subjects: Chemistry, Electronics, Materials Science, Renewable Energies Her work addresses challenges in semiconductor epitaxy, defect analysis, and functional coatings. Notable projects include 'Caracterización Avanzada de Espejos para Aplicaciones en Energía Solar' (2022–2025) and 'Nanostructured sputtered coatings for solar particle receivers' (2022–2023). Publications span 2016–2025, with recent emphasis on ultra-flexible silicon foils, bismuth-based metasurfaces, and GaInAs solar cell optimization. Her research combines experimental methods (e.g., TEM, MOVPE) with computational modeling for device performance enhancement. Funding: Principal investigator on energy storage projects and collaborator on EU-funded initiatives Lab Affiliations: Physics Department laboratories at UC3M

Shan Heمشاهده پروفایل

پژوهشگر

• Power Electronics
• Renewable Energy Systems
• Control Systems
• +۳ مورد دیگر

Shan He is a Researcher at Aalborg University's Faculty of Engineering and Science, specializing in Power Electronic Control, Reliability, and System Optimization. Their work focuses on advancing grid-connected inverter technologies, voltage control stability, and renewable energy integration. Key projects include reliability modeling of photovoltaic inverters, control strategies for wind power systems, and harmonics mitigation in power electronics. Research interests encompass battery technology, feedforward control systems, and dissipativity-based methods. Collaborations span academic and industrial partners, addressing challenges in grid resilience and energy conversion efficiency. Over 66 publications and 5 active/funded projects highlight contributions to power electronics and renewable energy systems. Email: she@energy.aau.dk

• Renewable Energy
• Power Electronics
• Automation
• +۳ مورد دیگر

Edvardas Bielskis is an Assistant Professor at Vytautas Magnus University's Department of Electrical and Electronic Engineering. His research focuses on renewable energy systems, power electronics, and automation technologies with applications in smart grids and industrial automation. He holds a Doctor of Science degree in Electrical and Electronics Engineering. Education: Doctor of Science in Electrical and Electronics Engineering. Professional Experience: 7 years in academia and industry collaboration, specializing in industrial automation research and priority research areas including intelligent production engineering and mechatronics. Key research areas include: Reactive power compensation using multilevel inverters Microinverter efficiency optimization for photovoltaic systems Power quality improvement through asymmetric compensation techniques Development of educational control system prototypes Notable projects include the Integer CONUS project (2017-2019) in Siauliai and participation in the eLABa initiative. His work has been published in journals like Symmetry and Elektronika ir elektrotechnika , focusing on power electronics innovations and grid integration solutions.