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Professor Xiao-Ping Zhang is a full-time Professor of Electrical Power Systems at the Department of Electronic, Electrical and Systems Engineering, School of Engineering, University of Birmingham, UK. He holds leadership roles as Director of Smart Grid at the Birmingham Energy Institute and Co-Director of the Birmingham Energy Storage Centre (sponsored by EPSRC), and leads the Electrical Power & Control Systems Group. PhD in Electrical Engineering, 1993 MSc in Electrical Engineering, 1990 BEng (Hons) in Electrical Engineering, 1988 His research focuses on the transformation of modern power systems, with core interests in Smart Grids, HVDC and FACTS technologies, renewable energy integration (wind and wave), control of PHEVs in power grids, energy markets using game theory, smart metering, distributed energy management, and wide-area grid awareness. He pioneered the concepts of 'Global Power & Energy Internet' and 'Energy Union,' the latter adopted by the European Commission, and envisioned the Midlands as the UK’s 'Energy Valley,' now realized through national initiatives. His recent publications reflect a strong trend in advancing HVDC/FACTS control, stability analysis in renewable-rich grids, energy storage integration, smart grid optimization, and market modeling. The articles span high-impact journals such as IEEE Transactions on Power Systems and IEEE Transactions on Smart Grid, demonstrating sustained leadership in electrical power engineering. IEEE Fellow IET Fellow Alexander-von-Humboldt Fellow Foreign Fellow of Chinese Society for Electrical Engineering (CSEE) Professor Zhang has secured substantial research grants from UK Government (Science City Initiative), EPSRC, FP7 EU Smart Energy Network Programme, and industry partners. He advises doctoral students in key areas of power systems and smart grids. He established two advanced laboratories at the University of Birmingham: the Smart Power Grid Laboratory and the Real-time Power Grid Simulation, Measurement, Protection and Control Laboratory. He also initiated the UK-China Smart Grid Workshop series, leading to 13 joint research projects. He is actively involved in professional leadership, serving as Editor for IEEE Transactions on Smart Grid and IEEE Transactions on Power Systems, IEEE PES Distinguished Lecturer, Secretary of IFAC Technical Committee on Power and Energy Systems Control, and Co-Chair of the IEEE PES Working Group on Test Systems for Economic Analysis. He has contributed to UK national energy policy, including reports for the Prime Minister’s Council for Science and Technology.

• Electrical Power Systems
• Smart Grids
• High-Voltage Direct Current (HVDC)
• +15 more

Professor Geraint Jewell is affiliated with the University of Sheffield , serving as Director of the Rolls-Royce University Technology Centre in Advanced Electrical Machines (since 2006) and Director of the EPSRC Future Electrical Machines Manufacturing Hub (since 2019). He is a graduate of the university (BEng 1988, PhD 1992) and has held academic roles since 1994. EPSRC Advanced Research Fellowship (2000-2005) Royal Society Industry Fellowship at Rolls-Royce (2006-2008) Former Faculty Director of Research and Innovation (2008-2011) Former Head of Department (2013-2019) His research focuses on power-dense electrical machines for aerospace applications , including permanent magnet machines , switched reluctance machines , and linear actuators . He has supervised ~20 PhD students and led collaborations with Rolls-Royce on high-temperature devices (up to 800°C) and aero-engine starter-generators. Recent publications analyze stator insulation thermal degradation , eddy current control in additively manufactured materials , and magnetic loss prediction in silicon steel. His work spans electromagnetic modeling , core loss calculation , and advanced manufacturing techniques for electrical machines. EPSRC Advanced Research Fellowship (2000-2005) Royal Society Industry Fellowship (2006-2008) He has advised PhD students across topics like consequent-pole PM machines , doubly salient SynRMs , and core loss characterization . His Electrical Machines and Drives Research Group explores modular motor design and magnetic material optimization for aerospace and electric vehicles.

• Electrical Machines
• Electromagnetic Modeling
• Aerospace Applications
• +10 more

Dr. Axel Lubk is a Group Leader at the Institute for Solid State Research (IFW Dresden) , specializing in advanced electron microscopy techniques for materials science. His research spans four key areas: (1) TEM method development (high-resolution imaging, tomography, holography, and in-situ techniques), (2) charge particle optics and scattering theory , (3) magnetic nanotextures (domain walls, skyrmions), and (4) plasmonics (mode hybridization in heterogeneous structures and semiconductor heterostructures). Dr. Lubk’s work focuses on three-dimensional magnetic texture analysis using electron holography and tomography, particularly in systems like skyrmion tubes , FeGe , and Cr2O3 thin films . He has pioneered techniques for vector-field electron tomography and phase retrieval under varying boundary conditions, advancing nanoscale magnetic imaging. His recent studies include plasmonic properties in AgAu nanosphere chains , thermoelectric multilayer systems , and topological insulators like NiRh2Sb and TaTMTe4 . Dr. Lubk has published extensively in high-impact journals such as Nature Communications and Advanced Materials , with a focus on TEM instrumentation and quantitative analysis . He frequently presents at international conferences like the International Microscopy Congress and European School of Magnetism , emphasizing applications in spintronics , quantum materials , and nanostructured systems . His contributions to holographic vector-field electron tomography and machine learning for spectrum-image data have set new standards in electron microscopy.

• Transmission Electron Microscopy (TEM) Method Development
• Charge Particle Optics and Scattering Theory
• Magnetic Nanotextures
• +3 more

Alberto Oliveri is an Associate Professor at the University of Genoa in the Department of Naval, Electrical, Electronic and Telecommunications Engineering. He teaches courses including Circuits and Systems, Nonlinear Circuits and Systems, Power Management, and Elements of Electrical Technology for undergraduate and graduate programs in Electronic Engineering, Information Engineering, Industrial Technologies, and Chemical Engineering. His research focuses on advanced topics in power electronics and control systems, with particular emphasis on: Modeling and optimization of magnetic components (inductors) for switch-mode power supplies FPGA implementation of nonlinear model predictive control algorithms Synthetic inertia solutions for renewable energy grid integration Embedded control systems for power converters Advanced modeling of ferrite-core and amorphous-core inductors His recent publications (2022-2025) demonstrate a consistent focus on improving power conversion efficiency through advanced control strategies and hardware implementation. Research themes include predictive control optimization, magnetic component characterization under saturation conditions, renewable energy grid support functions, and embedded algorithm development for real-time power system monitoring.

• Power Electronics
• Control Systems
• FPGA Implementation
• +4 more

Sobhi Barg serves as an Assistant Senior Lecturer in Power Electronics at Mälardalen University's Department of Computer and Electrical Engineering (DET) in Sundsvall, Sweden. His position within the STC Research Centre focuses on advanced power conversion systems and magnetic component design for electric vehicles and renewable energy applications. Education: PhD in Electrical Engineering from National Engineering School of Sfax (2018) Erasmus Master in Sustainable Transportation and Electrical Power Systems (University of Oviedo, University of Nottingham, Polytechnic Institute of Coimbra) (2015) Master in Electrical Systems from National Engineering School of Tunis (2010) Engineering Degree from National Engineering School of Tunis (2008) His research centers on multi-objective optimization of power electronic systems , with expertise in core loss modeling for high-frequency magnetics, wireless power transfer, and EV power conversion. Recent work demonstrates innovative approaches to planar magnetics using unbalanced-flux techniques and precise core loss calculation for non-sinusoidal waveforms, significantly advancing efficiency in power converter design. Publications since 2019 reveal strong focus on magnetic component optimization and loss modeling , with 50% appearing in IEEE Transactions journals. Key trends include development of empirical core loss models for complex waveforms (2025), novel unbalanced-flux approaches for planar magnetics (2023-2024), and multi-objective GA optimization techniques for flyback transformers (2019). Scientific Recognition: Erasmus Mundus Scholarship-Category A (48,000 Euro) for Master studies in Sustainable Transportation and Electrical Power Systems (2013-2015) Dr. Barg teaches Analog Electronics and Electric Circuits laboratory courses while contributing to the STORE (Electrical Energy Storage) and MDOBC research projects. His work at the STC Research Centre bridges theoretical modeling with practical applications in renewable energy systems and electric vehicle powertrains, emphasizing experimental validation through Seebeck effect measurements and FEA simulations. Current research activities include DC inductor design based on Ampere's Law (2024) and continued refinement of core loss models for next-generation power converters, with significant implications for high-efficiency energy conversion in sustainable transportation systems.

• Power Electronics
• Electric Vehicle Power Systems
• AC Motor Drives
• +6 more

Thomas Ewald is a Doctorate Program student at ETH Zürich, affiliated with the Department of Information Technology and Electrical Engineering (D-ITET) and the Chair of High Power Electronics (HPE). His research focuses on analytical inductor models and automated optimization processes for converter systems. Ewald earned his B.Sc. and M.Sc. in Electrical Engineering from Technical University of Munich (2015, 2018), developing an analytical model for transient processes in synchronous machines during his Master’s thesis at BMW AG. He has interned at Scanlab AG (2013–2014) in R&D for galvanometer scanner simulations and contributed to academic research on eddy current losses, thermal hotspots, and computational efficiency in magnetic components. Research Interests Thomas's work bridges Power Electronics , Magnetic Component Design , and Converter Optimization . His research explores analytical modeling of high-frequency inductors, eddy current losses , and conductor homogenization techniques to reduce computational costs by over 90% in 3D simulations. He also investigates virtual component prototyping and system-level optimization of electric converters. Publications His publications at conferences like PCIM , ECCE , and EPE , along with journal articles in IEEE Transactions on Power Electronics , highlight advancements in gapped inductor design , loss modeling , and thermal management . Collaborations with Jürgen Biela and others emphasize modular frameworks and cost-effective solutions.

• Power Electronics
• Electrical Engineering
• Energy Conversion
• +3 more

Thomas Murphy is an Affiliate Professor at the University of Maryland, leading the Photonics Research Lab. His work focuses on integrated optics, nanophotonic devices, nonlinear dynamics, and terahertz photonics. Key research goals include advancing optical communication and sensor systems through novel device designs and techniques. Students under his advisement include Dr. Trisha Chakraborty (PhD 2025) and Dr. Evan Dowling (PhD 2024). His lab has produced notable contributions in graphene-based photodetectors, aluminum nitride electrooptic sensing, and terahertz antenna technology. Recent publications emphasize metal-free microwave receivers and cryogenic optical couplers. Research trends highlight interdisciplinary approaches combining plasmonics, nonlinear optics, and quantum materials. Applications span high-speed communications, remote sensing, and astronomical instrumentation. No specific awards are listed, but his work has been featured in journals like Optica . His lab collaborates on advanced photonics systems, including 3D fiber-to-chip couplers and ultra-broadband detectors. Ongoing projects involve synthetic optical spaces and entropy-driven photon counting systems.

• Integrated Optics
• Nanophotonic Devices
• Nonlinear Dynamics
• +5 more

Alexandre LEGRIS is a Professor at the University of Lille within Polytech'Lille, conducting research in the Materials and Transformations Unit (UMR 8207 CNRS). He is a core member of the Physical Metallurgy and Materials Engineering research team, focusing on computational modeling of phase transformations in metallic alloys subjected to irradiation. His work has significant applications in nuclear materials science, particularly for nuclear reactor components and fuel cladding systems. LEGRIS specializes in crystallography, corrosion mechanisms, and phase transformations in metallic systems. His research employs advanced computational techniques including phase-field modeling, atomic-scale simulations, and multiscale approaches to understand radiation damage mechanisms in structural materials. His expertise spans zirconium alloys for nuclear applications, advanced steels, and oxide dispersion strengthened materials. His publication record demonstrates consistent contributions to understanding irradiation effects in nuclear materials, with recent work focusing on zirconium growth mechanisms, radiation-induced segregation, and dislocation behavior under irradiation. The research spans fundamental atomic-scale phenomena to engineering-scale applications in nuclear systems. Modeling radiation damage in zirconium alloys for nuclear fuel cladding Phase transformations in advanced steels under irradiation Computational prediction of microstructure evolution in nuclear materials Development of models for radiation-induced segregation and defect clustering LEGRIS has supervised numerous doctoral students whose research has advanced understanding of irradiation effects in nuclear materials. His students have investigated topics including ODS steels for fourth-generation reactors, thermomechanical treatments of austenitic steels, and additive manufacturing of radiation-resistant materials. Many of his former students have secured positions in industry and research institutions specializing in nuclear materials. He collaborates extensively with researchers at the national and international level, particularly on nuclear materials projects involving CNRS, CEA, and international nuclear research organizations. His work contributes to the development of advanced materials for next-generation nuclear energy systems.

• Physical Metallurgy
• Materials Engineering
• Phase Transformations
• +5 more

Georg Stauch is a Professor at the University of Würzburg, holding the Chair of Geomorphology within the Institute of Geography and Geology, Faculty of Philosophy. His research spans multiple continents with particular focus on the Tibetan Plateau, Gobi Desert, and Central European reservoir systems. He employs advanced remote sensing techniques including Google Earth Engine and UAV photogrammetry to investigate landscape evolution and human-environment interactions. Stauch's research focuses on geomorphological processes in arid and high-mountain environments, with particular emphasis on sediment dynamics, climate change impacts, and anthropogenic influences. His work integrates field observations , remote sensing data , and sediment analysis to understand landscape evolution across various temporal scales. Recent research has increasingly incorporated microplastic analysis as a novel tool for dating sedimentary archives and understanding pollution history. His publication record reveals strong trends in utilizing multi-decadal satellite imagery to track dune migration rates across the Tibetan Plateau and Gobi Desert regions, while simultaneously investigating reservoir sedimentation as archives of human industrial activity in Central Europe. The integration of traditional geomorphological methods with modern cloud computing approaches represents a distinctive methodological signature across his recent work. Stauch actively contributes to educational innovation through projects like smartphone-based 3D landform mapping and XR technologies for geographical spatial analysis. His research group participates in multiple collaborative projects examining disaster risk, resilience, and environmental change across diverse global settings.

• Geomorphology
• Remote Sensing
• Sedimentology
• +7 more

Krasimir Kostenarov serves as an Assistant Professor in the Department of Finance at New Bulgarian University (NBU), holding a PhD in Economics with specialization in Finance, Money Circulation, Credit and Insurance. He teaches core finance courses including Financial Calculations in MS Excel, Risk Analysis, and Financial Modeling with MS Excel. His academic background includes: Higher education in Finance PhD in Economics (professional field) specializing in Finance, Money Circulation, Credit and Insurance Dr. Kostenarov's research focuses on corporate finance, capital markets, and risk management in emerging economies, particularly Bulgaria. He develops computational models for risk assessment using asymmetric deviations and mean absolute deviation in CAPM frameworks, and investigates operational risk in non-financial enterprises through loss allocation methods. His work bridges theoretical finance with practical applications in transitional markets. Publication analysis from 2008-2020 reveals consistent emphasis on Bulgarian capital market dynamics, with specialized contributions to downside risk modeling (D-CAPM), European integration impacts on cost of equity, and enterprise resource planning effectiveness. His research demonstrates methodological innovation in adapting traditional financial models to emerging market conditions. No scientific awards were documented in the source materials. Teaching responsibilities include Financial Calculations in MS Excel (BAFB537), Practice (BAFB563), Seminar: Processing and Visualizing Economic Data (BAFB566), Internship (BAFB769), and Risk Analysis (BAFB801). Office hours are held Thursdays 15:00-17:00 and Fridays 11:00-13:00 in room 708 of Building II.

• Corporate Finance
• Capital Markets
• Risk Management
• +2 more

Dr. Аlenka Milovanović is a Full Professor at the Department of Electrical Engineering, Faculty of Technical Sciences Čačak, University of Kragujevac. Her research focuses on Automatic Control , Electromagnetics , and Electrical Measurement , with over two decades of contributions to fields like PID control systems, magnetic material characterization, and educational technology integration. Affiliations: University of Kragujevac, Faculty of Technical Sciences Čačak Roles: Full Professor, Department of Electrical Engineering Her research interests span control systems , magnetic materials , and virtual instrumentation . Notable contributions include studies on nonlinear tank-level control, PID algorithms, and remote laboratory setups for electrical engineering education. She has authored/co-authored 7 books and over 50 peer-reviewed articles , with recent work focusing on applications in maritime engineering and e-learning platforms. Dr. Milovanović has actively participated in international conferences (e.g., ПЕС, UNITECH, KIMC) and contributed to projects like virtual instrumentation for magnetic flux measurement and energy efficiency testing. Her work emphasizes practical applications, such as improving control systems for marine boilers and developing educational tools for remote experimentation.

• Electrical Engineering
• Automatic Control
• Electromagnetics
• +3 more

Prof. Nevzat YILDIRIM is a full-time Professor at Çankaya University's Department of Civil Engineering (since 2016) and previously held professorships at Gazi University (2001-2016) and other institutions. He holds a PhD in Hydraulic Engineering from The University of Iowa (1982), following a MSc from the same university (1978) and a BSc from Istanbul Technical University (1975). His research focuses on hydraulic engineering, particularly intake design, vortex dynamics, and fluid mechanics. He has advised over 14 graduate students on topics like critical submergence analysis and sediment transport. Research interests include optimizing intake systems, analyzing free-surface vortices, and understanding sediment transport mechanisms. His work bridges theoretical fluid dynamics with practical hydraulic engineering solutions. Notable contributions include developing equations for air-core vortex profiles and critical submergence criteria for multi-pipe intakes. Prof. YILDIRIM has over 30 peer-reviewed articles in journals like the KSCE Journal of Civil Engineering and Journal of Hydraulic Engineering . His collaborations with researchers like Kerem Taştan and Fikret Kocabaş highlight interdisciplinary approaches to hydraulic challenges. He has led projects on intake vortex mitigation and sediment impact studies. No specific awards are listed, but his extensive contributions to hydraulic theory and education are evident through his prolific publications and academic leadership roles.

• Hydraulic Engineering
• Fluid Mechanics
• Vortex Dynamics
• +3 more

François Henrotte is a Professor at the University of Liège, affiliated with the Montefiore Institute of Electrical Engineering and Computer Science within the Department of Electrical Engineering, Electronics and Computer Science. He leads research in Applied and Computational Electromagnetics (ACE), focusing on electromagnetic modeling, magnetic materials, and computational methods. His work bridges theoretical electromagnetics with practical engineering applications in electrical machines and materials processing. Henrotte's research interests center on computational electromagnetics, with particular expertise in magnetic hysteresis modeling, iron losses computation, and electromagnetic force calculation. His recent work has increasingly incorporated machine learning techniques, especially neural networks, to enhance the accuracy and efficiency of electromagnetic simulations. He has made significant contributions to the modeling of ferromagnetic laminated cores in electrical machines, developing innovative homogenization techniques combined with neural network approaches. His research also extends to flash sintering of ceramics, electromagnetic levitation of molten metals, and cryogenic actuators, demonstrating the breadth of his expertise across multiple domains of applied electromagnetics. Over the past decade, Henrotte's publication record reveals a clear evolution toward integrating artificial intelligence with traditional electromagnetic modeling. His recent work (2022-2025) increasingly features neural network applications for material modeling and loss prediction in electrical machines. This represents a significant shift from his earlier focus on classical finite element methods and hysteresis modeling. His research maintains strong connections with industrial applications, particularly in electrical machine design and advanced materials processing. François Henrotte has mentored numerous researchers who have become his primary collaborators, including Florent Purnode, Jonathan Velasco, and Kevin Jacques. His research group actively collaborates with the Belgian Ceramic Research Centre and SUPRATECS (Services Universitaires pour la Recherche et les Applications Technologiques de Matériaux Électro-Céramiques, Composites, Supraconducteurs). These collaborations have resulted in significant contributions to both theoretical electromagnetics and practical engineering applications, particularly in the areas of electrical machines, magnetic materials, and advanced ceramic processing techniques.

• Applied and Computational Electromagnetics
• Magnetic hysteresis
• Magnetic losses
• +6 more

Dr. Gregory Lapicki is a Professor in the Department of Physics at East Carolina University, with his office located in Howell Hall E308. He can be contacted via telephone at (252) 328-6894 or email at lapickig@ecu.edu. He earned his PhD in Physics from New York University in 1975. His academic career spans over five decades with a focus on theoretical atomic physics. Dr. Lapicki's research centers on inner-shell ionization and energy loss of charged particles in matter, with significant contributions to PIXE (Particle-Induced X-ray Emission) analysis methodology. He developed the ECUSAR theory for L-shell X-ray production cross sections, which shows excellent agreement with experimental data. His work has accumulated approximately 3650 citations, reflecting substantial impact in the field of atomic collision physics. Analysis of his 15 most recent publications (2012-2023) reveals persistent refinement of theoretical models for K-, L-, and M-shell ionization cross sections. Key trends include universal empirical fits for proton-induced X-ray production, proton/helium ion comparisons, and applications in elemental analysis. His research bridges fundamental atomic collision theory with practical PIXE applications in material science. His notable recognition includes serving on the International Honorary Committee for PIXE conferences, highlighting his leadership in the field. Dr. Lapicki teaches core physics courses including General Physics, University Physics, Mathematical Methods, Mechanics, and Quantum Physics at undergraduate and graduate levels. While no specific grants or student advising are mentioned in available records, his extensive publication record demonstrates sustained research activity. Although the ECU Department of Physics maintains specialized laboratories like the Radiation Instrumentation Lab, Dr. Lapicki's theoretical work operates independently of experimental facilities, focusing on computational modeling and cross section compilation.

• Theoretical Atomic Physics
• Inner-Shell Ionization
• PIXE Analysis
• +2 more

Adam Hecht is a Professor of Nuclear Engineering at the University of New Mexico (UNM), leading research in radiation detection, nuclear nonproliferation, and fission data. He holds a Ph.D. from Yale University (2004) and has held academic positions since 2008, progressing from Assistant to Associate Professor before becoming full Professor in 2022. His work focuses on advanced detector development (e.g., AlSb semiconductors, perovskites), muon imaging for spent fuel verification, and machine learning applications in radiation spectroscopy. He directs the UNM Radiation Research and Detector Development (R²D²) lab and co-leads the Center for Nuclear Nonproliferation Science and Technology (CNNST). Education: Ph.D. Physics (Yale, 2004), M.Phil. (Yale, 2001), M.S. (Yale, 1998), B.S. Physics (UC Irvine, 1997). Research emphasizes fission fragment measurements, nonproliferation technologies, and environmental radiation analysis. He has authored/co-authored over 70 peer-reviewed articles, with recent work on neutron multiplicity, detector materials, and muon tomography for nuclear safeguards. Research interests span experimental nuclear physics, including SPIDER fission spectrometry, novel detector materials (AlSb, perovskites), and radiation data mining. Awards include the J.W. Gibbs Fellowship (Yale). Collaborations include LANL, UNLV, and the Canadian Penning Trap mass spectrometry projects. Students and postdocs in his lab work on projects such as fission yield measurements, neutrino detection, and neutron/gamma identification algorithms. Key contributions include the development of the UNM Fission Fragment Spectrometer and advancements in room-temperature semiconductor detectors. His work bridges fundamental nuclear science with applied security needs, including projects funded by DOE, DTRA, and NSF.

• Nuclear Nonproliferation
• Radiation Detection
• Fission Data
• +4 more