جست‌وجوی استاد و پژوهشگر

Adrien Voldoireمشاهده پروفایل

پژوهشگر

• Power Electronics
• Renewable Energy Systems
• Inverter Design
• +۳ مورد دیگر

Adrien Voldoire is a Researcher at the Laboratory of Electrical and Electronic Engineering of Paris , focusing on advanced power electronics systems. His work emphasizes sustainable energy solutions, inverter design optimization, and renewable integration. He specializes in high-frequency SiC-based systems, MPPT algorithms, and grid power quality enhancement. His research interests include power electronics topologies for renewable energy, multiport energy routers, and efficiency improvements in power converters. He has extensively studied dual active bridge converters, MOSFET switching losses, and the application of optimization algorithms in inverter design. Key contributions include developing methodologies for optimal inverter sizing in aeronautical contexts and integrating sustainability indicators into power electronics design. His work bridges theoretical analysis with experimental validation, often using deterministic optimization techniques to compare conventional and advanced inverter structures. Adrien collaborates with institutions globally on projects involving wind energy systems, multi-source electric drives, and harmonic analysis in power systems. His research consistently addresses real-world challenges in energy efficiency and environmental impact reduction.

Alejandro Dominguez-Garciaمشاهده پروفایل

استاد

• Microgrids
• Grid Data Analytics
• Reliability Analysis
• +۴ مورد دیگر

Alejandro Domínguez-García is a M. Stanley Helm Professor in Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign, affiliated with the Grainger College of Engineering. He holds a Ph.D. in Electrical Engineering and Computer Science from MIT (2007). His research focuses on microgrids, grid data analytics, reliability analysis, and power systems resilience, with emphasis on renewable energy integration and distributed control architectures. Education: Ph.D. in Electrical Engineering and Computer Science from MIT (2007). Research Interests: His work spans microgrid design, distributed energy resource coordination, and uncertainty analysis in power systems. He develops mathematical frameworks for quantifying system reliability under variable renewable generation and cyber-physical threats. Publications: Over 100 journal and conference articles, including recent work on trustworthy distributed consensus algorithms, inverter-based grid models, and privacy-preserving coordination of energy resources. His 2022 textbook Large-Scale System Analysis Under Uncertainty provides foundational tools for analyzing complex engineered systems. Awards: Elected IEEE Fellow (2023) for contributions to distributed control and uncertainty analysis of electrical energy systems. Teaching: Courses include ECE 476 (Power System Analysis), ECE 554 (Dynamic System Reliability), and graduate-level large-scale system analysis. Labs & Teams: Active in the Coordinated Science Laboratory and Grainger Center for Electric Machinery and Electromechanics (CEME). Leads research groups advancing resilient power systems and smart grid technologies.

Michael W. Otteمشاهده پروفایل

استادیار

• Multi-robot Systems
• Autonomous Robotics
• Motion Planning and Replanning
• +۴ مورد دیگر

Michael W. Otte is an Assistant Professor at the University of Maryland, College Park, with a home appointment in the Department of Aerospace Engineering and an affiliate appointment in the Department of Computer Science. He is the Director of the Motion and Teaming Laboratory (Mo-T Lab) and a member of the Maryland Robotics Center. His research focuses on algorithms for autonomous robots and multi-agent systems, including collective cognition in swarms, motion planning, and decentralized coordination under communication constraints. Education: Ph.D. '11 in Computer Science (University of Colorado at Boulder), M.S. '07 in Computer Science, B.S. '05 in Aeronautical Engineering and Computer Science (Clarkson University). Prior appointments include postdoctoral roles at the U.S. Naval Research Laboratory and the Air Force Research Laboratory. Research interests span multi-robot systems, swarm intelligence, motion replanning in dynamic environments, and distributed sensing. His lab develops algorithms for challenges like collective computation in swarms, efficient replanning, and communication-limited collaboration. Notable contributions include the RRT-X replanning algorithm, distributed neural networks across swarms (Group Mind), and the C-FOREST parallel planning framework. Recent awards include the 2023 Best Faculty Advisor Award. Active roles include Program Chair for the 2024 DARS conference and organizing ICRA workshops on multi-robot communication challenges. Students advised include Alexander Mendelsohn, Sharan Nayak, and others. The Mo-T Lab collaborates with institutions like NASA, Northrop Grumman, and DARPA, addressing applications in hazardous environments and autonomous systems.

• Power Electronics
• Electrical Machines and Drives
• Grid Stability
• +۳ مورد دیگر

Fabio Mandrile is a Fixed-term Tenured Assistant Professor at the Department of Energy (DENERG) of the Polytechnic University of Turin. He is part of the Interdepartmental Center PEIC - Power Electronics Innovation Center. His research focuses on power electronics converters, electrical machines and drives, with emphasis on grid stability, e-mobility, and wide bandgap semiconductor applications. He teaches courses in power electronics for grid applications, e-mobility, and automotive engineering at the MSc and PhD levels. PhD Supervision: 5 current students researching topics like GaN-based power electronics for BEV/FCEV, modular multilevel shipboard storage systems, and virtual synchronous generators. Research Projects: Leads studies on ultra-fast bidirectional chargers, WBG inverter optimization, and grid-tied inverter control strategies. His work addresses challenges in energy systems integration, including grid support services, fault ride-through strategies, and high-power inverter design. Key contributions include innovative control algorithms for virtual synchronous machines and modular torque control of multiphase motors. Patents include methods for brake actuator control in electro-actuated systems, real-time grid impedance estimation, and integrated electric vehicle chargers. His publications span over 50 peer-reviewed articles and conference papers, with recent focus on GaN-based inverters, grid-forming inverters, and e-mobility applications.

• Distributed Optimization
• Machine Learning
• Data-Driven Decision-Making
• +۳ مورد دیگر

Sindri Magnússon serves as an Associate Professor in Machine Learning at Stockholm University's Department of Computer and Systems Science. His research focuses on distributed optimization, machine learning, and data-driven decision-making within complex network systems, with applications spanning power grids, IoT infrastructure, and satellite operations. His educational background includes a B.Sc. in Mathematics from the University of Iceland (2011), an M.Sc. in Applied Mathematics (Optimization and Systems Theory) from KTH Royal Institute of Technology (2013), and a Ph.D. in Electrical Engineering from KTH (2017). He completed postdoctoral research at Harvard University (2018-2019) following a 9-month visiting PhD stint there in 2015-2016. Magnússon's research integrates theoretical optimization frameworks with practical machine learning implementations, particularly emphasizing reinforcement learning, federated systems, and distributed algorithms for resource-constrained environments. His work bridges theoretical guarantees with real-world applications in critical infrastructure and industrial systems. Analysis of his recent publications reveals a strong focus on communication-efficient distributed learning, non-stationary reinforcement learning environments, and predictive maintenance systems. His team consistently develops novel algorithms addressing asynchronous updates, model mismatch in federated settings, and multi-objective optimization challenges across IoT and satellite networks. Major awards include the IEEE ICASSP best student paper award (as supervisor) and a prestigious Swedish Research Council (VR) Starting Grant. VR Starting Grant: Resource Constrained Machine Learning in Complex Networks (PI, 4 MSEK, 2021-2024) Digital Futures: DEMOCRITUS project on critical societal infrastructures (Co-PI, 4 MSEK, 2021-2024) Vinnova: Smart Converters for Climate-neutral Society (PI, 3 MSEK, 2022-2025) He actively supervises seven PhD candidates including main supervision for Ali Beikmohammadi, Shubham Vaishnav, and Mohsen Amiri, plus industrial PhD projects with Spotify. As Associate Editor for IEEE/ACM Transactions on Networking, he contributes significantly to the networking and machine learning research communities.

Shanxin Yuanمشاهده پروفایل

مدرس

• 3D Computer Vision
• Reconstruction and Rendering
• Multimodal Learning
• +۵ مورد دیگر

Dr. Shanxin Yuan is a Lecturer in Digital Environment at the School of Electronic Engineering and Computer Science, Queen Mary University of London. Previously, he worked as a Senior Research Scientist at Huawei Noah’s Ark Lab, London. His research focuses on computer vision and machine learning, particularly 3D digital humans, computational photography, and multimodal learning. Key research interests include hand pose estimation, neural rendering, and image restoration techniques such as super-resolution and HDR imaging. Research Interests: 3D Computer Vision, Reconstruction, and Rendering Neural Rendering for Deformable Objects Low-level Vision and Image Restoration Multimodal Learning and Vision-Language Integration Applications in Immersive Gaming, Music Understanding, and Fashion AI Recent Research Trends: Recent publications emphasize advancements in 3D hand modeling, neural radiance fields, and adaptive image restoration techniques. Work on motion retargeting and spatial-temporal modeling reflects growing focus on dynamic human digitization and realistic rendering. Labs & Affiliations: Active in the Digital Environment Research Institute (DERI) and the Centre for Multimodal AI , collaborating on projects that bridge computer vision with real-world applications.

Yuan Gaoمشاهده پروفایل

مدرس

• Transport Electrification
• Power Electronics
• Control Systems
• +۷ مورد دیگر

Dr. Yuan Gao is a Lecturer in Transport Electrification and Deputy Programme Director for General Engineering at the University of Leicester's School of Engineering. He holds a PhD in Electrical and Electronic Engineering from the University of Nottingham (2021), an MSc in Aeronautical Engineering from Beihang University (2017), and a BSc in Transportation Engineering from Dalian Maritime University (2013). His research focuses on transport electrification, power electronics, and control systems, with emphasis on applications in aerospace and renewable energy systems. He leads projects such as the EUROCONTROL Point Merge system modeling and the EMINEO Project (funded by Clean Sky 2 and Horizon 2020). He is affiliated with the Green Energy and Transport Group and the Aerospace Engineering Group. Key research interests include: machine learning-driven control systems, hybrid energy storage optimization, electric drive systems for aircraft, and digital twin technologies. He has contributed to advancements in multi-agent system engineering, fault diagnosis in power converters, and energy management strategies for more-electric aircraft (MEA). Education: PhD in Electrical and Electronic Engineering, University of Nottingham (2021) MSc in Aeronautical Engineering, Beihang University (2017) BSc in Transportation Engineering, Dalian Maritime University (2013) Awards: Chinese National Award for Outstanding Students Abroad (2021) Professional Roles: Guest Editor, IEEE Transactions on Power Electronics Associate Editor, Electronics and Signal Processing Session Chair/Co-Chair for multiple conferences (IECON 2025, AIAA/IEEE EATS 2020) Grants & Projects: EUROCONTROL Point Merge System Modelling (2023–present) EMINEO Project (Clean Sky 2/Horizon 2020, 2020) Optimization of DC/AC filters for aircraft electrical systems His work bridges theoretical innovation with practical implementation, addressing challenges in energy efficiency, system reliability, and intelligent control. He actively collaborates with industry and academic partners to advance sustainable transportation and aerospace technologies.

Harold Ruizمشاهده پروفایل

دانشیار

• Green Energy
• Transport Systems
• Electrical Machines
• +۳ مورد دیگر

Harold Ruiz is an Associate Professor in Electrical Machines and Energy Systems at the University of Leicester's School of Engineering, leading the Green Energy and Transport (GrEaT) Research Group. He oversees the Electrical and Electronics Engineering team and integrates facilities at Space Park Leicester with the School's experimental resources. His research focuses on decarbonizing energy systems through green technologies, with expertise in superconductivity, power systems, and renewable integration. He holds a PhD in Electrical Machines and Applied Superconductivity from the University of Zaragoza, preceded by MSc degrees in Condensed Matter Physics (National University of Colombia) and Physical Technologies. His career includes roles at Florida State University and the University of Cambridge, contributing to over £2.5M in research projects across superconductivity and energy systems. His research group addresses EPSRC's Energy Challenge, emphasizing sustainable transport and grid efficiency. Key projects include optimizing superconducting materials for low-energy losses and advancing fault current limiters for power grids. Collaborative efforts span international partners, focusing on HTS cables, aerospace propulsion, and renewable energy optimization. GrEaT Group achievements include developing open databases for superconducting materials and pioneering studies on magnetization losses in advanced conductors. Ruiz’s work bridges theoretical models with practical applications, driving innovations in energy storage, grid stability, and decarbonization strategies.

Wenyuan Tangمشاهده پروفایل

دانشیار

• Power Systems
• Electricity Markets
• Data Analytics
• +۵ مورد دیگر

Wenyuan Tang is an Associate Professor in the Department of Electrical and Computer Engineering at North Carolina State University. His research focuses on electricity markets, data analytics, machine learning, and optimization for power systems. He holds a Ph.D. in Electrical Engineering from the University of Southern California and completed postdoctoral work at UC Berkeley and Stanford. Education: B.Eng. in Electrical Engineering, Tsinghua University (2008) M.S. Electrical Engineering & M.A. Applied Mathematics, University of Southern California (2010-2014) Ph.D. Electrical Engineering, University of Southern California (2015) Research interests include power systems resilience, renewable energy integration, and microgrid management. Recent work emphasizes probabilistic forecasting, battery storage optimization, and multi-energy system coordination. He has received the NSF CAREER Award (2022), R. Ray Bennett Faculty Fellow Award (2021), and Goodnight Early Career Innovators Award (2023). Awards: NSF CAREER Award (2022) R. Ray Bennett Faculty Fellow Award (2021) Goodnight Early Career Innovators Award (2023) His work includes leadership in IEEE editorial roles and collaborations on projects like the DOE Solar Forecasting Prize. Research emphasizes bridging optimization theory with practical grid operations, focusing on resilience, efficiency, and sustainability.

Masoud Davariمشاهده پروفایل

دانشیار

• Power Electronics
• Smart Grids
• Microgrids (AC/DC/Hybrid)
• +۵ مورد دیگر

Masoud Davari serves as Associate Professor in the Department of Electrical and Computer Engineering at Georgia Southern University's Allen E. Paulson College of Engineering and Information Technology, where he joined as a tenure-track faculty member in July 2017 after industry experience at Quanta-Technology and Iranian research centers. His academic credentials include: Ph.D. in Electrical Engineering, University of Alberta (2012-2016) M.Sc. in Electrical Engineering (Highest Distinction), Amirkabir University of Technology (2007-2010) B.Sc. in Electrical Engineering (Highest Distinction), Isfahan University of Technology (2003-2007) Dr. Davari's research centers on power converter dynamics and control for renewable-integrated grids, with emphasis on hybrid AC/DC microgrids, protection systems, and energy storage management. His experimental work includes testbed development for distributed generation and meshed MTDC systems using Opal-RT and RTDS real-time simulation platforms. Recent publications (2023-2025) demonstrate concentrated focus on grid-tied PV systems, inverter control reliability, cybersecurity for power electronics, and machine learning applications in motor control, reflecting evolving trends toward resilient smart grid architectures. As Principal Investigator, he leads three National Science Foundation projects: INNOVATOR: U.S.-Denmark reliability analysis for AC/DC converters in supergrids (2022-2025) Innovative voltage source converter operation in critical grid conditions (2019-2021) Multi-infeed AC/DC power system integration (2018-2021) His professional activities include IEEE Working Group P2004 membership for Hardware-in-the-Loop standards and leadership in DC@home Standards literature review, complementing experimental work on microgrid testbeds and controller-hardware-in-the-loop validation systems.

János Hamarمشاهده پروفایل

دانشیار

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

János Hamar is an Associate Professor at the Department of Automation and Applied Informatics , Budapest University of Technology and Economics. His work bridges power electronics and control systems with a focus on energy efficiency and renewable energy integration. Specializes in resonant DC-DC converter topologies Developed multi-agent control systems for parallel converters Contributed to E-learning tools in power electronics Explores electromagnetic interference (EMI) mitigation Investigates microgrid power distribution His research spans symmetrical and asymmetrical converter operations, virtual laboratories, and smart energy systems like "Energymon." Publications highlight innovations in multilevel converters, common-mode noise suppression, and discrete-time modeling tools. Awards and student supervision details remain unspecified in available sources.

Kevin M Walshمشاهده پروفایل

استاد

• Micro/nanotechnology
• MEMS
• Additive manufacturing
• +۵ مورد دیگر

Kevin M Walsh is the Samuel T. Fife Endowed Professor of Electrical and Computer Engineering at the University of Louisville's JB Speed School of Engineering. He serves as the founding director of the UofL Micro/NanoTechnology Center (MNTC), which houses a 10,000 sq. ft. class 100 cleanroom facility ranked among the top 10 in the United States. His leadership has brought over $55M in research awards to the University of Louisville. Dr. Walsh earned his B.S. and M.Eng. degrees in electrical engineering from the University of Louisville (1978, 1985) and his Ph.D. in electrical engineering (microelectronics/MEMS) from the University of Cincinnati (1992). His research focuses on micro/nanotechnology and MEMS, with particular expertise in glancing angle deposition techniques, aerosol jet printing, and microfabrication. His current work explores bio-inspired antimicrobial surfaces, superhydrophobic structures, and advanced packaging methods for custom MEMS devices. His recent publications demonstrate a strong emphasis on applying nanofabrication techniques to solve practical engineering challenges in biomedical applications, sensing technologies, and advanced manufacturing. Dr. Walsh serves on the editorial board of Sensor Letters, the Review Board for the Oak Ridge National Laboratory CNMS User Program, and the RSL Advisory Board for the National Nanotechnology Initiative. He has twice received his school's top Research Award (1998-2000, 2007-2009) and has been inducted into the Trinity High School Hall of Fame (2000), UofL Athletic Hall of Fame (2001), and Kentucky Tennis Hall of Fame (2005). He has taught over 20 different courses and advised more than 30 completed theses. His research group has secured over $35M in external funding from DoD, DOE, NSF, NASA, NIH, and industry partners. Dr. Walsh co-founded four technical start-up companies (Assenti, OrthoData Technologies, UltraTrace Detection, and Simon Sounds) and holds 12 awarded patents. The UofL Micro/NanoTechnology Center under his direction operates as a hub for interdisciplinary research, and he founded the KY nanoNET Initiative, an NSF-funded statewide network coordinating micro and nanotechnology efforts across Kentucky.

• Renewable Energy Integration
• Smart Grid Control
• Power Systems Dynamics and Control
• +۷ مورد دیگر

Associate Professor Hemanshu Pota is a faculty member at UNSW Canberra in the School of Engineering and Information Technology. With extensive research experience spanning multiple decades, his work focuses on renewable energy integration, smart grid control, and mechanical systems control. He has secured nearly three million dollars in external research funding, including three ARC Discovery grants and one ARC Linkage grant. Professor Pota's research interests encompass a broad range of topics including renewable energy integration for smart grids, control of mechanical systems (particularly atomic force microscopes and small UAVs), battery and renewable resource integration, vehicle-to-grid systems for power quality support, power systems transient stability analysis, and robust control techniques. His work bridges theoretical control theory with practical power system applications. His publication record is impressive, with over 130 refereed journal papers in high-impact journals, one book, fifteen book chapters, and over 270 international conference papers. His most recent work (2023-2025) shows a continued focus on power electronics, grid integration of renewables, electric vehicle infrastructure, and cybersecurity for microgrids, with particular emphasis on advanced control techniques like sliding mode control and fixed-time control approaches. Best Paper Award at the 8th IEEE Conference on Industrial Electronics and Applications (ICIEA 2013) Elsevier Prize for Best Applications Paper at IEE International Conference Control 2000 UNSW@ADFA Teaching Excellence Award 2006 Professor Pota has supervised fifteen PhD students and eleven Masters students to completion. He serves as Editor-in-Chief of Technology and Economic Smart Grids and Sustainable Energy, and as Associate Editor for several prestigious journals including IEEE Transactions on Control Systems Technology. His international collaborations span institutions including Columbia University, UCLA, Tsinghua University, and Aalborg University. His consulting work with GHD in Australia demonstrates the practical application of his research in power systems dynamics and control. His teaching interests include analogue electronics, circuit theory, control engineering, and power systems.

• Tectonics
• Earth Sciences
• Geodynamics
• +۵ مورد دیگر

Sierd Cloetingh is a University Professor in the Department of Earth Sciences at Utrecht University, specializing in tectonics and geodynamics. With over 388 peer-reviewed publications (21,094 citations, h-index 79), he has established himself as a leading figure in Earth sciences. He currently chairs the European Regional Coordinating Committee of the International Lithosphere Programme and has held numerous prestigious leadership roles including President of Academia Europaea and Vice-President of the European Research Council. Professor Cloetingh's research focuses on the intricate relationships between deep Earth processes and surface topography, with particular emphasis on lithosphere dynamics, continental deformation, and basin evolution. His work integrates geological, geophysical, and modeling approaches to understand the complex interplay between tectonic forces, climate, and surface processes over geological time scales. His research has significant implications for understanding geohazards, geothermal energy resources, and the evolution of continental landscapes. Analysis of his recent publications reveals a consistent focus on coupled surface-deep Earth processes, with increasing attention to climate and energy-related societal challenges. His work spans diverse geographical regions including Europe, Africa, and the Arctic, demonstrating both regional specialization and global applicability of his theoretical frameworks. The TOPO-EUROPE program, which he chaired, represents a major collaborative effort to integrate these multi-scale processes. Honorary doctorates from six European universities Chevalier de Légion d'Honneur (2005) Knight of the Royal Order of the Netherlands Lion (2014) Membership in seven national academies including the Royal Netherlands Academy of Arts and Sciences Professor Cloetingh has supervised nearly 80 PhD students from 18 different nationalities, demonstrating his significant contribution to training the next generation of Earth scientists. His leadership extends to major collaborative research programs including TOPO-EUROPE and the International Lithosphere Programme. His work on geothermal energy resources, particularly through the European GEISER project, demonstrates his commitment to applying fundamental Earth science research to societal challenges. Based at the Earth Simulation Lab at Utrecht University, Professor Cloetingh leads research that integrates numerical modeling with observational data to understand lithospheric processes. His work with the TOPO-EUROPE consortium represents one of the most comprehensive efforts to link deep Earth dynamics with surface processes across continental Europe.

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

Frede Blaabjerg is a Professor at Aalborg University's Department of Energy Technology, Denmark. He specializes in power electronics, renewable energy systems, and grid integration. His research focuses on advanced control strategies for power converters, renewable energy integration, and smart grid technologies. With over 500 publications, he has contributed extensively to topics like inverter control, microgrid stability, and model predictive control. His work emphasizes practical applications in sustainable energy systems and high-efficiency power conversion. Key research areas include grid-forming inverters, fault-tolerant energy storage systems, and advanced modulation techniques for converters. Collaborations with industry and academia highlight his global impact. His studies often address challenges in integrating renewable sources into modern grids and improving system reliability through innovative control algorithms. He leads projects in wave energy conversion, smart metering, and hybrid AC/DC microgrids. His publications reflect a blend of theoretical advancements and engineering solutions, driving the energy transition through power electronics innovation.