Yi Zhao is a Research Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville, affiliated with the College of Engineering. Her work focuses on power system stability analysis and adaptive control solutions for large-scale grids. PhD in Electrical Engineering, Tsinghua University (2013) BS in Electrical Engineering, Southwest Jiaotong University (2008) Her research emphasizes power grid simulation, PMU measurement applications, and adaptive damping control systems tested in global grids. Recent work includes real-time inertia estimation and oscillation mitigation using inverter-based resources. Key trends in her publications include grid stability, renewable energy integration, and machine learning applications in power systems. She actively engages in hardware-in-the-loop testing for controller validation.
Dr. Guilherme Froes Silva is a Lecturer in the School of Electrical Engineering & Robotics at Queensland University of Technology (QUT) and an Associate Investigator at the QUT Centre for Robotics. He holds a PhD from QUT (2023), an MPhil from PUCRS (Brazil, 2017), and a degree in Control and Automation Engineering from PUCRS (2015). His research focuses on scalability and stability of networked autonomous systems, including vehicle platoons and microgrids, as well as quantitative risk analysis for aviation systems. He has collaborated with industry partners like Boeing Defence Australia, resulting in a patent application, and his work is internationally recognized by regulatory authorities and uncrewed aircraft operators. Education: PhD, Queensland University of Technology (2023) MPhil, PUCRS, Brazil (2017) Bachelor's in Control and Automation Engineering, PUCRS, Brazil (2015) His research interests span control systems, networked systems, autonomous systems, risk analysis, aviation safety, and energy systems. He has led industry collaborations resulting in commercial applications and is actively involved in supervising research students. His contributions to scalable networked systems and safety-critical applications position him as a key figure in intelligent transportation systems and robotics. He currently teaches courses such as EGH445 Modern Control and ENN541 Research Methods for Engineers. His publications, including work on microgrid stability and vehicle platooning, reflect his expertise in system stability and control.
Ivona Brandić is a University Professor for High Performance Computing Systems at TU Wien's Institute of Software Engineering and Interactive Systems. Born in Gradačac, Bosnia and Herzegovina, she moved to Austria in 1992 as a refugee during the Bosnian War. She earned a master's degree (2002) and doctorate (2007) in business computer science from TU Wien and completed her habilitation in applied computer science there in 2013. Her career includes roles as an assistant professor (University of Vienna, 2002–2007) and postdoctoral researcher (University of Melbourne, 2008). She transitioned to a tenure-track position at TU Wien in 2014 and became a full professor in 2016. Brandić’s research focuses on cloud computing, energy-efficient ultra-scale systems, and hybrid quantum-classical computing. She has been recognized with the MiA Award (2011), the Austrian Science Fund's Start-Preis (2015), and membership in the Austrian Academy of Sciences' Young Academy (2016). Her work emphasizes sustainable computing, edge systems, and optimizing resource management for distributed applications. Education: Bachelor's degree in Business Informatics (University of Vienna/TU Wien) Master's in Business Computer Science (University of Vienna, 2002) PhD in Applied Computer Science (TU Wien, 2007) Habilitation in Practical Computer Science (TU Wien, 2013) Research Interests: Brandić’s work spans cloud computing, energy efficiency in HPC systems, edge computing, and quantum-classical hybrid systems. She explores autonomic resource management, distributed system resilience, and sustainability in ultra-scale infrastructures. Her projects often address real-world applications like drug design, environmental monitoring, and smart energy grids. Publications: Her 2009 paper Cloud Computing and Emerging IT Platforms is a seminal work in the field. Recent publications focus on quantum-edge integration, energy optimization in AI models, and adaptive edge analytics frameworks. These contributions highlight trends toward sustainable, distributed, and hybrid computational paradigms. Awards: 2011: MiA Award for distinguished contributions by international backgrounds 2015: Austrian Science Fund’s Start Prize 2016: Austrian Academy of Sciences Young Academy Membership Advising & Grants: Brandić leads research groups and has secured grants for projects like NESSUS (energy-efficient cloud systems) and CHIST-ERA’s SDCDN (distributed networks). She mentors students in HPC, edge computing, and quantum systems. Advised topics include workload scheduling, fault tolerance, and energy-aware algorithms. Labs & Teams: She directs research on autonomic cloud management, edge intelligence frameworks (e.g., Sea-LEAP, FRESCO), and quantum-classical workflow systems (RIGOLETTO). Her teams collaborate internationally, integrating academia and industry for scalable, sustainable solutions.
Patrick G. O'Shea is a Professor and Vice President for Research at the University of Maryland, holding joint appointments in Electrical and Computer Engineering, Physics, and the Institute for Research in Electronics & Applied Physics (IREAP). He previously served as Chair of the Department of Electrical & Computer Engineering at the A. James Clark School of Engineering and Director of IREAP. His research focuses on charged particle beam dynamics, free-electron lasers (FELs), and high-power radiation sources. He leads the Bright Beams Collective Research Group, advancing compact THz FELs and terawatt X-ray sources. O'Shea has held leadership roles including President of University College Cork (Ireland) and Vice President for Research at UMD. His honors include Fellowships from AAAS, APS, IEEE, and the Royal Society of Arts. Recent work emphasizes ultra-high-power XFEL harmonics, beam emittance control, and applications in cancer therapy and quantum technologies. Education: BSc in Physics (National University of Ireland, Cork), M.S. and Ph.D. in Physics (University of Maryland). Key contributions include record-breaking H⁻ beam brightness on the BEAR rocket test stand, discovery of solitary waves in electron beams, and theoretical work on emittance compensation. He chairs UMD's Research Conflict of Interest Committee and has advised students like Liam Pocher (recipient of the NAPAC22 best student paper award). O'Shea collaborates on projects such as the DarkLight experiment at Jefferson Lab and scalable accelerator technologies for future particle physics facilities. Research highlights include developing laser-controlled ion accelerators, achieving 30 MV/m proton gradients, and pioneering THz FEL design. His group explores medical isotope production via electron beams and ultra-fast radiotherapy. Ongoing projects aim to revolutionize XFEL efficiency through novel beam sources and tapered undulators. Awards include the UMD Distinguished Scholar-Teacher Award and multiple professional society recognitions.
Pertti Pakonen is a University Lecturer at Tampere University's Faculty of Information Technology and Communication Sciences, Department of Electrical Engineering. His research focuses on power quality, partial discharge analysis, high voltage systems, and smart grid technologies. He has contributed extensively to understanding grid stability, electromagnetic compatibility, and renewable energy integration. Key research areas include partial discharge diagnostics in cables and transformers, power quality monitoring in distributed networks, and the impact of emerging technologies like electric vehicle charging stations and LED lighting on grid performance. His work emphasizes data-driven methods for fault detection, predictive maintenance, and grid optimization. Recent publications highlight advancements in HVDC/HVAC grid qualification, machine learning for load control detection, and synchronization challenges in power quality data. His research bridges theoretical analysis with practical applications in industrial and urban electrical systems. Mr. Pakonen's work has addressed challenges in rural grid management, including reserve power solutions and cabling practices. He collaborates on interdisciplinary projects involving energy economics, smart metering systems, and grid-industry interactions.
Dr. Ahmad Elkhateb is a Senior Lecturer at Queen's University Belfast's School of Electronics, Electrical Engineering and Computer Science. He specializes in power electronics, focusing on advanced power supplies for electric vehicles, wireless charging systems, and renewable energy technologies. His research contributes to UN Sustainable Development Goals, particularly in affordable and clean energy (SDG 7) and industry innovation (SDG 9). Dr. Elkhateb holds a Fellowship of the Higher Education Academy (FHEA) and is a Senior Member of the IEEE. He leads the Energy Power and Intelligent Control (EPIC) Research Centre and supervises numerous PhD students in topics like DC-DC converters for photovoltaic systems and wireless power transfer for EVs. Key awards include the BEST PAPER AWARD (2024, 2022) and the TG Christie Award for his student Iman Okasili. His work spans projects such as the ESCROWS initiative for offshore wind systems and collaborations with industry partners like Excelsys Technologies. He actively publishes in top journals like IEEE Transactions on Power Electronics and holds editorial roles for IEEE Access and IET Power Electronics.
Ghanshyamsinh Gohil is an Assistant Professor in the Department of Electrical Engineering at the University of Texas at Dallas (UT Dallas), affiliated with the Erik Jonsson School of Engineering and Computer Science. His research focuses on advanced power electronics systems, including medium-voltage (MV) power conversion, smart grid technologies, and renewable energy integration. He leads the Power Electronics Lab, which develops innovative solutions for electric mobility, grid interface systems, and high-efficiency energy conversion. Research interests include the characterization of silicon carbide (SiC) devices for MV applications, medium-frequency isolated converters, and electromagnetic emission mitigation. His work addresses challenges in extreme fast charging for electric vehicles, microgrid management, and DC grid architectures. The lab also explores multi-objective optimization of power electronics systems and harmonic filter design for high dv/dt converters. Dr. Gohil’s publications span topics such as modular multilevel converters, dual active bridge (DAB) topologies, and distributed control algorithms for microgrids. His research emphasizes practical implementation, with a focus on real-time grid-edge systems and energy management solutions compliant with utility standards. Though no scientific awards are explicitly mentioned, his contributions to power electronics and renewable energy integration reflect a strong academic and applied research profile. Advising and grants details are not provided in the available text, but his lab’s active projects suggest ongoing collaborative efforts in industry and academia. The Power Electronics Lab at UT Dallas serves as a hub for interdisciplinary research, bridging electrical engineering with smart energy systems. Key projects include the design of grid-forming energy routers, MV DC grid interfaces, and intelligent fault current limiters to enhance grid reliability and resilience.
Poul Ejnar Sommer Sørensen is a Professor at the Department of Wind and Energy Systems , Technical University of Denmark (DTU). He specializes in wind power integration, control, and dynamic modeling, with a focus on power quality and system stability. His work spans grid-connected renewable hybrid power plants, offshore wind farms, and low-inertia power systems. Current roles: Guest lecturer in international workshops, supervisor of PhD projects on hybrid power plants, and participant in the NEST Facilities research infrastructure. Leadership: Project leader for IEC 61400-27 standardization and co-chair of the Megavind strategy group. Research trends: Recent articles highlight hybrid power plant optimization, voltage stability in converter-dominated grids, and market strategies for frequency restoration reserves. Scientific Awards : Recipient of the IEC 1996 Award (2012). IEEE Fellow (2021) and IEEE Senior Member (2007). Supervision : Mentors PhD candidates including Zhu, R., Das, K., and Pouraltafi-Kheljan, S. Active in projects like GREAT (Grid Enhancement for Ancillaries in Tomorrow’s power systems) and offshore wind feasibility studies in Mauritius.
Assoc. Prof. Dr. Ali AĞÇAL is an academic at Yildiz Technical University's Department of Electrical and Electronics Engineering, Faculty of Engineering and Natural Sciences. He holds a PhD (2018) and Master's (2014) in Electrical Machines and Power Electronics from the same institution. His research focuses on wireless power transfer systems for UAVs, electric vehicles, underwater applications, and medical implants. He has published extensively in SCI-Expanded journals and led projects like the 'Optimum Coil Design for Safe Wireless Charging of Unmanned Aerial Vehicles.' Education: BSc (2011), MSc (2014), PhD (2018) in Electrical Engineering from Yildiz Technical University. Research Interests: Resonant Wireless Power Systems High-Efficiency Charging Solutions Biomedical Energy Transfer Aerospace Power Applications His work emphasizes safety (e.g., magnetic exposure limits) and system optimization (frequency control, coil design). Collaborative projects include STATCOM-based grid improvements and intra-body implant charging systems.
Prof. Thomas Hamacher is a Full Professor of Renewable and Sustainable Energy Systems at the Technical University of Munich (TUM), affiliated with the TUM School of Engineering and Design. He leads the Munich Institute of Integrated Materials, Energy and Process Engineering (MEP) and previously served as Director of the Munich School of Engineering (MSE). His research focuses on urban energy systems, renewable energy integration, nuclear fusion, and energy modeling methodologies. He holds a PhD in Physics from the University of Hamburg and has extensive experience at the Max Planck Institute for Plasma Physics. Education: Studied Physics at Universities of Bonn, Aachen, and Columbia University (NY). Doctorate from University of Hamburg (1990s). Career highlights include leadership roles in energy research groups and academic administration. Research interests include fusion energy applications, decarbonization strategies, and systemic energy transitions. He is a member of the Environmental Science Center (WZU) at Augsburg University. Key research themes emphasize multi-sector energy systems, grid stability with renewables, and global energy policy. His work bridges technical innovation with socio-technical system analysis to address climate goals. Recent publications focus on digital twin applications, battery storage optimization, and hydrogen economy potentials. Active in international energy modeling collaborations like ETSAP TCP.
Mohamed Bensetti is a Researcher at the Laboratory of Electrical and Electronic Engineering, Université de Paris. His primary affiliation is with the Faculty of Engineering, specializing in electromagnetic compatibility (EMC), inductive power transfer (IPT), and wireless power systems. His work bridges theoretical modeling and practical applications in energy systems and material characterization. Education & Research Focus: Expertise in neural networks for non-destructive evaluation (NDE) and harmonic source modeling Development of machine learning-based tools for low-voltage grid analysis Optimization of magnetic couplers and shielding effectiveness for electric vehicles Advances in multi-physics modeling of electric motors and inductive power systems Research Trends in Publications: His 2023-2025 work emphasizes the fusion of AI techniques with traditional electromagnetic methods. Key themes include: Neural networks for eddy current NDT and material property prediction Machine learning metamodeling of harmonic sources in LV networks Optimization of wireless power transfer systems via genetic algorithms and HGAPSO methods Design of compact, efficient magnetic couplers for dynamic inductive power transfer (DIPT) Advising & Collaborations: Collaborates extensively with academic and industrial partners on projects involving: Dynamic vehicle charging systems EMC filter optimization for automotive electronics Shielding solutions for low-frequency electromagnetic fields Labs/Teams: Leads the Electromagnetic Compatibility and Inductive Power Transfer research team at the Laboratory of Electrical and Electronic Engineering, focusing on applied electromagnetics and energy systems innovation.
Tanguy Phulpin is a Teacher-Researcher at CS and the GeePs laboratory since 2018. His research focuses on power electronics, with a specialization in semiconductor technologies (SiC/GaN), converters, magnetic components design, and reliability integration. He explores topics ranging from semiconductor material behavior to high-frequency converter systems, emphasizing practical applications like renewable energy integration and power quality improvement. His work includes advanced studies on SiC MOSFET reliability, inductive power transfer systems, and cryogenic operation of power devices. He collaborates actively with researchers on projects involving LLC resonant converters, magnetic coupler topologies, and wireless charging solutions for electric vehicles. Phulpin has authored/co-authored over 31 publications since 2024, reflecting his contributions to power electronics innovation and standardization. Key research interests include: Wide bandgap semiconductor reliability High-frequency converter design Cryogenic power electronics Inductive power transfer (IPT) systems Transformer and inductor optimization His recent publications highlight advancements in MPPT-integrated converters, coreless transformer designs, and control strategies for dynamic wireless charging. Phulpin’s work bridges theoretical analysis with practical engineering solutions for next-generation power systems.
Dr. Christopher D. Townsend serves as a Senior Lecturer in the Department of Electrical, Electronic and Computer Engineering at the School of Engineering, University of Western Australia, where he joined in 2019 after industry experience at ABB Corporate Research and postdoctoral positions at UNSW, University of Newcastle, and Nanyang Technological University. Education: B.E. in Electrical Engineering, University of Newcastle, Australia (2009) Ph.D. in Electrical Engineering, University of Newcastle, Australia (2013) His research centers on power electronics innovations for renewable energy integration , with specialization in multilevel converter topologies, modulation strategies, and control systems. Key application domains include photovoltaic systems, battery energy storage, electric vehicle drivetrains, and microgrid stability, evidenced by his fingerprint in capacitor voltage management, predictive control, and harmonics reduction. Recent publications (2024-2025) demonstrate a pronounced shift toward grid-forming capabilities in renewable systems, particularly in power reserve control for photovoltaic converters and state-of-charge balancing in battery storage. His work consistently bridges theoretical control algorithms with experimental validation in real-world energy infrastructure. Research Leadership: Principal investigator in 4 major grants totaling over $2.8M AUD Supervisor for 6 research students Active IEEE Power Electronics and Industrial Electronics Societies member Dr. Townsend's initiatives directly support UN Sustainable Development Goals in clean energy (SDG 7), industry innovation (SDG 9), and climate action (SDG 13) through practical electrification solutions for mining and gravitational wave facilities.
Quanling Deng is a Lecturer in the School of Computing at the Australian National University (ANU), where he focuses on applied mathematics, computational methods, and machine learning. Previously, he held positions as a Van Vleck Visiting Assistant Professor at the University of Wisconsin-Madison (2020–2022) and a Research Associate at Curtin University (2016–2020). He earned his Ph.D. in Mathematics from the University of Wyoming in 2016 and has conducted visiting research at institutions including INRIA (Paris), AGH University (Krakow), and École des Ponts ParisTech. Education: Ph.D. in Mathematics, University of Wyoming, 2016 Moved to the USA in 2011 to pursue studies in mathematics His research interests span Applied Mathematics (e.g., sea ice dynamics, ocean/atmosphere systems), Computational Mathematics (finite element methods, isogeometric analysis), and Machine Learning (feature interaction, deep neural networks). He also investigates Data Assimilation techniques, including stochastic models and Lagrangian-Eulerian frameworks. Research Trends: His recent work emphasizes multiscale modeling (e.g., sea ice floes), eigenvalue problem solutions using advanced finite element techniques, and explainable machine learning. He explores applications of physics-informed neural networks and parallel computing for high-performance simulations. Grants & Projects: Leading the project "Advancing Numerical Computation for Schrödinger Eigenvalue Problems" (2023) Affiliations: Previously affiliated with Curtin Institute for Computation and Curtin TIGeR. Collaborates internationally on computational mathematics and climate modeling.
Xiangyu Meng is a Researcher in the Department of Electrical & Electronic Engineering, focusing on harmonic stability in vehicle-grid systems, offshore wind farm modeling, and cyber-physical system analysis. His expertise spans electrical engineering, power electronics, smart grids, and railway systems. Research interests include improving grid stability in railway and vehicle-to-grid contexts, leveraging deep learning and neural networks for system analysis. Recent work emphasizes resilient control strategies, sensor data integrity, and low-frequency stability in train-grid interactions. Publications (2024-2025) highlight advancements in impedance identification, DAB converter perspectives, and multi-vehicle network stability. Collaborations focus on sustainable energy solutions aligned with UN SDGs. No awards or grants explicitly mentioned, though research outputs show active peer-reviewed contributions in IEEE journals. No advising details provided.
