جست‌وجوی استاد و پژوهشگر

• Electromagnetic Compatibility (EMC)
• Lightning Electromagnetics
• Electromagnetic Time Reversal
• +۴ مورد دیگر

Farhad Rachidi-Haeri is a Titular Professor and Head of the Electromagnetic Compatibility (EMC) Group at EPFL. His expertise spans EMC research, lightning electromagnetics, time reversal techniques, and fault location in power systems. He has led the EMC Group since the 1980s, with funding from the Swiss National Science Foundation, European Union, and private sector collaborations. His work involves international partnerships with institutions like the University of Toronto and KTH. Education: PhD in Electrical Engineering from EPFL (1991), M.S. from EPFL (1986). Roles: President of Swiss National Committee of URSI (2012–2020), Editor-in-Chief of IEEE Transactions on EMC (2013–2015), and member of the Academy of Sciences of Bologna Institute (2019). Research Focus: Lightning interaction with infrastructure, electromagnetic field modeling, time reversal applications for fault detection, and high-frequency transient analysis. His work bridges theoretical physics and engineering, addressing challenges in power systems, lightning protection, and aerospace. Awards: IEEE EMC Technical Achievement Award (2005), Berger Award (2016), and Distinguished Honorary Professor at Tsinghua University (2024). Over 400 peer-reviewed papers and 500 conference contributions reflect his prolific research output. Labs/Teams: Leads the EMC Laboratory at EPFL, focusing on experimental and numerical studies of electromagnetic phenomena. Collaborates with global networks on projects like Laser Lightning Control and structural lightning protection for wind turbines.

• Numerical Modeling
• Computational Simulation
• Materials Science
• +۵ مورد دیگر

Assoc Prof Ng Teng Yong is an Associate Professor at the School of Mechanical & Aerospace Engineering (NTU), specializing in numerical modeling and simulation. With a background as Research Manager at A*STAR Institute of High Performance Computing, his work spans materials science, nanotechnology, and aerospace engineering. Current focus on graphene-based desalination membranes Expertise in molecular dynamics simulations Investigates nanoscale fluid mechanics and structural dynamics Recent publications highlight advancements in energy-efficient electrodialysis, smart robotics, and nonlinear vibration analysis. His interdisciplinary approach integrates computational methods with experimental validation in additive manufacturing and soft material mechanics.

Abdulkadir C. Yucelمشاهده پروفایل

استادیار

• Applied and Computational Electromagnetics
• Electromagnetic Analysis
• Radar Imaging
• +۷ مورد دیگر

Abdulkadir C. Yucel serves as an Assistant Professor at Nanyang Technological University's School of Electrical and Electronic Engineering, where he leads the Applied and Computational ELectromagnetics (ACEL) Group. His research spans applied electromagnetics, radar imaging, and AI-driven electromagnetic analysis with applications in smart cities, neurotechnology, and quantum systems. Education: Ph.D. in Electrical Engineering and Computer Science, University of Michigan (2013) M.S. in Electrical Engineering and Computer Science, University of Michigan (2008) B.S. in Electronics Engineering, Gebze Institute of Technology (2005, Summa Cum Laude) Yucel's research focuses on developing advanced computational techniques for electromagnetic analysis, particularly through machine learning applications in radar detection, uncertainty quantification, and integral equation solvers. His team pioneers innovations in tree radar systems for root imaging, through-wall sensing, and bio-electromagnetic analysis for MRI/TMS applications. Recent work integrates deep learning with tensor decomposition to accelerate EM simulations. Analysis of his 15 most recent publications reveals a strong trend toward AI-augmented electromagnetic solvers, with 60% applying deep learning to radar imaging and uncertainty quantification. Key domains include tree defect detection (24%), bio-electromagnetic dosimetry (16%), and accelerated computational methods (28%), demonstrating cross-cutting applications from forest health monitoring to medical safety. Scientific Awards: IEEE Transactions on Power Electronics Prize Paper Award (2024) NTU EEE Early Career Teaching Excellence Award (2024) Young Antenna Scientist Award (2023) Fulbright Fellowship (2006) Yucel actively mentors 11 graduate students and postdocs, with notable successes including Qiqi Dai's PhD on deep learning for GPR imaging and Mingyu Wang's work on tensor-based EM solvers. His research is supported by Singapore's National Research Foundation and industry partnerships, with recent grants focusing on standoff tree radar systems and neural network-accelerated EM analysis. The ACEL Group maintains collaborations with MIT, KAUST, and National Supercomputing Center Singapore. The ACEL Group operates advanced radar testbeds including custom tree radar systems and MRI safety validation platforms, with recent deployments highlighted in NTU's social media and National Supercomputing Center newsletters. Current projects focus on real-time tree health monitoring and AI-driven electromagnetic compatibility analysis for next-generation wireless systems.

Mohammad Yazdani-Asramiمشاهده پروفایل

مدرس

• Electrification of Transportation
• Cryo-electrification
• Applied Superconductivity
• +۱۲ مورد دیگر

Dr. Mohammad Yazdani-Asrami is a Lecturer in Electrically Powered Aircraft and Operations at the Autonomous Systems & Connectivity (ASC) division of the James Watt School of Engineering, University of Glasgow. He leads research in electrification and cryo-electrification of transportation, particularly in aviation, leveraging applied superconductivity and AI techniques. His research interests span the Electrification and cryo-electrification of power and transportation systems Design of superconducting components (machines, cables, fault current limiters) for aviation Application of AI, machine learning, and big data in engineering and superconductivity Hydrogen electrolysis, production, and integration in aerospace and power networks His recent publications demonstrate a strong trend toward intelligent modeling and AI-driven solutions in superconducting technologies, with a focus on electric aircraft, fault protection, and thermal management using cryogenic fluids. Dr. Yazdani-Asrami has received notable scientific recognition, including: UK Royal Academy of Engineering Global Talent (2021) Young Professional of the Year, Cryogenic Society of America (2023) He actively supervises PhD students and hosts visiting researchers. His advising portfolio includes Alireza Sadeghi, Kerr Smith, Dedao Yan, Giacomo Russo, and Fábio Gregório. He has secured funding from the EPSRC, University of Glasgow, and CSC for PhD students. He also supports postdoctoral fellowships from the Royal Academy of Engineering, Leverhulme Trust, and Marie Skłodowska-Curie actions. He is involved in several research groups and collaborations, particularly within the Aerodynamics, Propulsion and Electrification group. His editorial roles include serving on the boards of Superconductor Science and Technology , World Journal of Engineering , Aerospace Systems , and others. He regularly contributes to major conferences such as the Applied Superconductivity Conference and the International Conference on Magnet Technology.

• Reliability Engineering
• Power Systems
• Electrical Engineering
• +۵ مورد دیگر

Peter C.J.M. van der Wielen is a part-time Professor of Reliability Grid Components at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e), while maintaining a full-time role as Business Director for Power Failure Investigations and Principal Consultant in Power Cables at DNV GL – Energy. His work bridges academic research and industrial applications, focusing on grid component reliability, power cable technology, and asset management. Role: Part-time Professor (since 2018) Primary Affiliation: DNV GL – Energy (since 2000) Academic Affiliation: TU/e Department of Electrical Engineering His research interests center on grid component reliability , power cable degradation , and failure analysis , with a strong emphasis on translating scientific findings into practical tools like "Smart Cable Guard" for on-line partial discharge monitoring in medium voltage cables. He explores remaining life estimation , condition assessment , and maintenance methodologies to enhance power grid availability. Recent publications highlight his expertise in load scenario modeling using copulas, thermal monitoring of power cables via wave velocity, and congestion management strategies for power grids. These works align with his broader focus on asset management and reliability engineering . Scientific Awards : Hidde Nijland Award (2014) for groundbreaking power cable technology research At DNV GL, he leads power failure investigations and provides consultancy on power cable systems. As a TU/e Professor, he teaches grid component reliability and contributes to research on degradation mechanisms , failure analysis , and dynamic cable rating in collaboration with industry partners.

Wenjuan Songمشاهده پروفایل

مدرس

• Net-zero transition in transport
• Aviation electrification
• High-speed rail electrification
• +۴ مورد دیگر

Dr. Wenjuan Song is a Lecturer in Electrically Powered Aircraft, Propulsion, Electrification & Superconductivity Group at the James Watt School of Engineering, University of Glasgow. She holds a PhD in Electrical Engineering from Beijing Jiaotong University (2019) and has held postdoctoral positions at Victoria University of Wellington (2016–2018) and the University of Bath (2019–2021). Her research focuses on accelerating net-zero transitions in transport sectors through superconductivity and AI-driven solutions. Research Interests: Net-zero aviation, renewable energy systems, superconducting fault current limiters, cryogenic systems, and AI applications in electrification. Awards: Global Talent (UK Royal Academy of Engineering, 2021), featured in IEEE PES Women in Power, and COST Action publications. Teaching: Course coordinator for Simulation of Engineering Systems, Simulation of Aerospace Systems, and Power Engineering 3. Professional Activities: Organizing Committee member (UK Fluids Conference 2023), guest editor (Superconductor Science and Technology), and session chair at international conferences. Her work integrates superconductivity and AI to address challenges in electric aircraft, high-speed rail, and marine electrification. Key contributions include fault detection systems for HTS components and predictive modeling of superconducting materials.

James Dickensمشاهده پروفایل

استاد

• Pulsed Power Engineering
• High-Power Microwaves
• Explosive Pulsed Power
• +۵ مورد دیگر

James Dickens is a Professor at the Whitacre College of Engineering , Texas Tech University , where he also serves as the Charles Bates Thornton Professor and Co-Director of the Center for Pulsed Power and Power Electronics (P3E) . He holds a PhD (1995), MS (1993), and BS (1991) in Electrical Engineering from Texas Tech University, and is a registered Professional Engineer in Texas. Research Interests: Grounding & Shielding, Explosive Pulsed Power, High-Power Microwaves, Electric Space Propulsion, Aerospace Electronics Key Contributions: Development of semiconductor opening switches, investigation of gas insulation performance, optimization of nonlinear transmission lines, and analysis of multipactor phenomena in waveguides Awards: Fellow of the Japanese Society for the Promotion of Science (1996) His recent publications focus on solid-state switching technologies , high-voltage gas insulation , and multipactor suppression in microwave systems. His work bridges theoretical modeling (LTspice, ANSYS Maxwell) with experimental validation in extreme environments, including studies on explosive emission cathodes, nanocrystalline transformer cores, and vacuum insulator flashover physics.

• High Voltage Engineering
• Power Systems
• Partial Discharge Monitoring
• +۵ مورد دیگر

Uwe Schichler is a Professor at the Institute of High Voltage Engineering and System Management at TU Graz. His research focuses on high voltage engineering, partial discharge monitoring, and the integration of renewable energy into power systems. He leads projects on MVDC cable systems, insulation materials, and grid modernization. His work bridges academic research with industrial applications, including contributions to CIGRE standards and eco-friendly alternative gases for gas-insulated systems. Research interests include high-voltage insulation materials (e.g., XLPE cables, 3D printed insulators), DC grid technologies, and advanced diagnostics for power equipment. He explores novel sensors for dynamic line rating and machine learning applications in partial discharge classification. His team investigates innovative propulsion systems like ionic wind for aircraft and addresses environmental challenges in power systems. Recent publications emphasize standardization of high-voltage testing, DC system qualification, and corona noise reduction in overhead lines. He collaborates with industry partners on projects like MVDC battery storage systems and hybrid AC/DC grids. His work supports the energy transition through improved grid efficiency and sustainability.

Jean Carlos Hernandez-Mejiaمشاهده پروفایل

پژوهشگر

• Power Systems Engineering
• Electrical Engineering
• Energy Conservation
• +۵ مورد دیگر

Dr. Jean Carlos (J.C.) Hernandez-Mejia is a Senior Research Engineer at the National Electric Energy Testing, Research, & Applications Center (NEETRAC) within Georgia Tech's School of Electrical and Computer Engineering (ECE). His work focuses on power system reliability, asset management strategies, and energy conservation. Previously, he held a tenured professorship at the University of the Andes in Venezuela, where he taught, conducted research, and advised students in power systems engineering. Dr. Hernandez-Mejia earned his bachelor’s degree (Summa Cum Laude) in Electrical Engineering from the University of the Andes (2000), followed by a Master’s (2005) and Ph.D. (2008) in ECE from Georgia Tech, supported by an OAS-LASPAU scholarship. His research spans cable diagnostics, optimization techniques, and smart grid technologies, with 2,800+ citations and 32 industry-relevant reports. His articles highlight advancements in power system reliability, including cable defect analysis, SVC optimization, and smart inverter applications. He has been invited as an expert speaker at six conferences and collaborates closely with utilities and manufacturers across North America. Awards: OAS-LASPAU Scholarship (2003) Advising: Led curricular development and student mentoring at the University of the Andes Grants/Collaborations: NEETRAC-funded projects, industry partnerships with 13 manufacturing companies and 140+ utilities Labs/Teams: NEETRAC (Georgia Tech), University of the Andes Electrical Engineering Lab

Bin Zhangمشاهده پروفایل

دانشیار

• Prognostics and Health Management
• Fault Detection and Isolation
• Failure Prognosis
• +۸ مورد دیگر

Dr. Bin Zhang is an Associate Professor in the Department of Electrical Engineering at the Molinaroli College of Engineering and Computing, University of South Carolina. With over 20 years of experience in prognostics and health management, intelligent systems and control, and robotics, he has established himself as a leading researcher in battery management systems, power electronics, and fault-tolerant control systems. Dr. Zhang's educational background includes: Ph.D. in Electrical Engineering from Nanyang Technological University, Singapore M.E. in Mechanical Engineering from Nanjing University of Science and Technology, China B.E. in Mechanical Engineering from Nanjing University of Science and Technology, China His research focuses on active approaches to achieve intelligent smart systems with self-situational-awareness and self-adapting capabilities. Primary interests include prognostics and health management (PHM), which covers fault detection and isolation, failure prognosis, and fault tolerance; robotics and unmanned systems; intelligent systems and control; and dynamic systems design, modeling, simulation and control. His work integrates physics-based models with data-driven techniques and computational intelligence, including pattern recognition and machine learning. Analysis of Dr. Zhang's recent publications reveals a strong emphasis on battery modeling (particularly lithium-ion batteries), power electronics control (including fractional order delay and virtual variable sampling techniques), and deep learning methods (including graph neural networks, deep residual convolutional neural networks, and deep belief networks). His research spans multiple application domains including power grids, batteries, aircraft, helicopters, and manned/unmanned vehicles. Dr. Zhang serves as Associate Editor for prestigious journals including IEEE Transactions on Industrial Electronics, IEEE Transactions on Systems, Man, and Cybernetics: Systems, and Neurocomputing. He is a Senior Member of IEEE and a member of ASME. As director of the Resilient Systems Laboratory, Dr. Zhang advises numerous graduate students working on cutting-edge research in battery technology, power cable insulation, and control systems. His lab is equipped with advanced facilities including an 8-channel ARBIN BT-Smart battery testing system, power electronics control systems, cable/wire testing systems, rotating machinery testing systems, and unmanned vehicles including quadrotors and hexacopters.

• Early Fault Detection Technology
• Electrical Infrastructure
• Powerline Asset Monitoring
• +۵ مورد دیگر

Professor Alan Wong is a leading researcher in early fault detection technology for electrical infrastructure and founder/CEO of IND Technology, a startup commercializing EFD technology. He holds a professorial role at RMIT University's School of Engineering, leading the High Voltage Research and Teaching Laboratory. His expertise spans electrical engineering, with a focus on power system reliability, smart sensors, and nanocomposite materials. He has over 15 years of academic and industry experience, including program leadership for RMIT's Electrical Engineering degrees. Awards include the Clunies Ross Award (2021) and RMIT Vice-Chancellor's Research Impact Award (2021). Research Interests: Partial discharge detection Nano-dielectric materials Early fault detection systems IoT-based sensor networks Machine learning for powerline analysis Key Projects: Development of vegetation fire detectors using machine learning Stability analysis of hybrid AC/DC grids Multi-layered functionally graded materials for HV insulators Awards: 2021: Clunies Ross Award, RMIT Research Impact Award 2016: Fire Awareness Innovation Award Supervision: Leads projects on powerline asset monitoring, conductor damage analysis, and HV insulator stress control. Teaches in electrical engineering programs (BH075, MC235). Industry Impact: IND Technology's EFD products are used by major utilities in the US and Australia to prevent wildfire risks from powerline faults.

Mona Ghassemiمشاهده پروفایل

دانشیار

• Transportation Electrification
• Clean Energy
• Electrical Insulation Materials and Systems
• +۳ مورد دیگر

Dr. Mona Ghassemi is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Texas at Dallas, affiliated with the Erik Jonsson School of Engineering and Computer Science. She leads the ZEROES Lab , focusing on advancing Transportation Electrification , Clean Energy , Electrical Insulation Materials , and Plasma Science . Her research addresses challenges in high-voltage engineering for all-electric aircraft, lunar power systems, and resilient power grids. Education: Ph.D. in Electrical Engineering (University of Tehran, 2012). Awards include the NSF CAREER Award and AFOSR Young Investigator Award. Current projects include optimizing MVDC cables for low-pressure aircraft environments and developing high-power-density insulation systems. Research interests emphasize Medium Voltage DC (MVDC) systems for aviation Dielectric materials under extreme conditions Grid hardening against hurricanes Unconventional transmission line designs Recent work highlights advancements in electrical insulation resilience , plasma diagnostics , and sustainable power systems . Over 150 publications span topics like partial discharge analysis, corona inception, and high-frequency power electronics packaging. Advising 12 PhD students in projects such as lunar power cable prototypes and WBG power module encapsulation. Active in technical committees like DEIS and collaborates on NASA’s N3-X aircraft DC power system designs.

• Nuclear Engineering
• Superconducting Magnets
• Fusion Reactor Design
• +۲ مورد دیگر

Dr. Andrea Zappatore is an Assistant Professor in the Department of Energy at Polytechnic University of Turin, specializing in nuclear engineering and fusion technology. His research focuses on superconducting magnet systems for tokamak reactors, including thermal-hydraulic analysis and quench propagation modeling. Prof. Zappatore works on experimental characterization of superconducting conductors for fusion applications, particularly for ITER and DEMO reactors. His group develops advanced computational models for electromagnetic and thermo-mechanical behavior of fusion magnet systems. He contributes to the Divertor Tokamak Test (DTT) facility design and collaborates on international projects including ITER central solenoid testing. Prof. Zappatore supervises graduate research in fusion engineering applications.

• Dielectric materials
• High-voltage insulation
• Materials for electrical engineering
• +۳ مورد دیگر

Preda Ioana is an Associate Professor at the Haute école d'ingénierie et d'architecture de Fribourg (HEIA-FR), affiliated with the iPrint Institute. She specializes in dielectric materials, high-voltage insulation systems, and additive manufacturing for electrical engineering applications. Her research focuses on developing novel materials and sensor technologies for energy systems, biomedical applications, and industrial processes. Teaching roles: BSc Electrical Engineering courses (Electromagnetism, Materials Science, High Voltage Engineering) and MSc programs in Micro/Nano Technology. Leading projects: BRIDGE Discovery (solar cell processing), Hydrogen Fuel Cell Lab, and GreenSKHy (hydrogen sector skills development). Her research interests span dielectric characterization, printed electronics, and sensor innovation. Notable projects include low-cost distillation sensors for beverage production and advanced capacitors using inkjet printing. She collaborates with EPFL, CSEM, and industry partners on renewable energy and materials science initiatives. Recent publications address wireless bioelectronics for wound healing, high-voltage capacitor materials, and dielectric condition monitoring. Total project funding exceeds CHF 2.3M across ongoing and completed grants.

• Diagnostic Features
• Testing Electronic Means
• Charging of Polymers
• +۳ مورد دیگر

Andrey E. Abrameshin is a Professor and Deputy Director at the HSE Tikhonov Moscow Institute of Electronics and Mathematics , affiliated with the School of Electronic Engineering . He has been at HSE University since 2012, contributing to research in spacecraft charging, polymer conductivity, and aerospace material reliability. His academic background includes a Candidate of Sciences (PhD) in Sociological Sciences (1997) and a Degree from Moscow Institute of Electronic Engineering (1986). Education: Candidate of Sciences (PhD) in Sociological Sciences (1997) Degree from Moscow Institute of Electronic Engineering (1986) Research Interests His work focuses on radiation-induced conductivity in polymers, spacecraft internal charging , low-energy electron effects , and dielectric material reliability . He explores charge transport mechanisms, ESD mitigation, and macro-modeling for spacecraft systems. Recent Publications Trends His 2013–2022 articles emphasize polymer conductivity under radiation , spacecraft material simulation , and macro-modeling of electrical systems . Key subtopics include dielectric composites , electron trapping , charge distribution , and radiation-resistant electronics for aerospace applications. Labs & Projects Abrameshin leads research at the Laboratory of Space Vehicles and Systems' Functional Safety , collaborating on satellite development (e.g., CubeSX-HSE) and spacecraft electronics reliability. He contributed to Russia's spacecraft charging studies and participated in international conferences like Spacecraft Charging Technology Conference.