جست‌وجوی استاد و پژوهشگر

Mehdi Mosadeghyمشاهده پروفایل

پژوهشگر ارشد

• Power Systems
• Renewable Energy Integration
• Smart Grids
• +۳ مورد دیگر

Dr. Mehdi Mosadeghy is an Adjunct Research Fellow at the School of Electrical Engineering and Computer Science, The University of Queensland. His research focuses on renewable energy integration into power systems, smart grid technologies, and grid reliability analysis. He holds a PhD in Engineering from The University of Queensland (2016), with a thesis titled Reliability impacts of increased wind generation in the Australian National Electricity Grid . His work emphasizes advanced methods for evaluating renewable energy impacts, including deep learning applications for grid topology detection, multifractal analysis for cybersecurity, and time-dependent modeling of wind/solar capacity. He has collaborated extensively with Professors Ruifeng Yan and Tapan Saha on projects addressing high-penetration renewables, voltage stability, and grid interconnection effects. Key contributions include: Analyzing solar PV and wind impacts on grid stability (IEEE TIA, 2021) Developing PMU-based topology detection using deep learning (IEEE TPWRS, 2022) Studying wind-hydro coordination in Tasmania (IEEE PES GM, 2013) His research bridges electrical engineering fundamentals with modern computational techniques to address critical challenges in smart grid reliability and renewable integration.

• Structural Engineering
• Civil Engineering
• Structural Health Monitoring (SHM)
• +۴ مورد دیگر

Prof. Carlo RAINIERI is an academic researcher affiliated with the Department of Bioscienze e Territorio at the University of Molise, Italy. His work focuses on structural health monitoring (SHM), vibration-based diagnostics, and the dynamic characterization of civil infrastructure. He has pioneered methodologies for environmental compensation in modal analysis, automation of operational modal analysis (OMA), and integration of remote sensing technologies for infrastructure assessment. RAINIERI's research spans bridge monitoring, historical structure preservation, and hospital facility resilience. Key contributions include development of kernel PCA-based environmental effect compensation, hybrid OMA algorithms, and SHM systems validated via shaking table tests. His recent work emphasizes practical clustering approaches for anomaly detection, smart healthcare facility design through vibration monitoring, and cyber-physical systems for infrastructure management. He has collaborated on projects involving UNESCO heritage sites like the Trisulti Charterhouse and the Santa Maria Maddalena church. His experimental studies include investigations on masonry structures' seismic vulnerability, cement paste behavior under storage conditions, and liquid storage tank dynamics. RAINIERI has also contributed to advancing digital twin technologies for historical buildings through BIM-FEM integration. Over 150 published articles demonstrate his expertise in modal parameter monitoring, damage detection algorithms, and probabilistic assessment techniques. His work bridges theoretical advancements with industrial applications, providing actionable insights for infrastructure maintenance and disaster resilience strategies.

• Fusion Energy
• Plasma Physics
• Energy Harvesting
• +۴ مورد دیگر

Vincenzo Paolo Loschiavo is a Researcher in the Department of Engineering at the University of Sannio, Italy, specializing in Electrical Engineering (ING-IND/31). His academic career focuses on two primary research domains: fusion energy systems and magnetostrictive energy harvesting technologies. He maintains active collaborations with major European fusion research facilities including JET, ASDEX Upgrade, and the Divertor Tokamak Test facility (DTT). Dr. Loschiavo's research interests include: Fusion Energy and Plasma Physics Energy Harvesting Systems Magnetostrictive Materials and Applications Tokamak Engineering and Divertor Technology AC-DC Power Conversion for Energy Harvesting Plasma Control Systems His recent publications demonstrate significant contributions to both theoretical modeling and practical implementation in these fields. In fusion research, he addresses critical challenges in power exhaust management and plasma control for next-generation fusion devices. His energy harvesting work focuses on developing efficient conversion systems using magnetostrictive materials, with applications in structural health monitoring and wireless sensor networks. His research bridges fundamental physics with practical engineering solutions, particularly in designing specialized AC-DC boost converters for non-conventional energy sources. Dr. Loschiavo frequently collaborates with international research teams across European laboratories, contributing to major projects including the DEMO power plant design studies and the SHiP (Search for Hidden Particles) experiment at CERN. His work appears in leading journals such as Nuclear Fusion, Fusion Engineering and Design, and Journal of Instrumentation.

Yifan Zhouمشاهده پروفایل

استادیار

• AI-Driven Smart Grid
• Quantum Computing
• Power System Dynamics and Stability
• +۴ مورد دیگر

Yifan Zhou is an Assistant Professor in the Department of Electrical and Computer Engineering at Stony Brook University. He holds a PhD (2019) and B.E. (2014) in Electrical Engineering from Tsinghua University. His research focuses on AI-driven smart grids, quantum computing, and formal analysis of power systems, emphasizing resilience and renewable energy integration. He teaches courses on electromechanical energy converters, electric machinery, and AI-driven smart grids. He advises PhD students in power system dynamics and quantum computing applications. Education: Ph.D. in Electrical Engineering, Tsinghua University, 2019 B.E. in Electrical Engineering, Tsinghua University, 2014 Research Interests: Integrates machine learning and quantum computing for power system stability, microgrid operations, and verifiable smart grids. Highlights include quantum ML for stability assessment and neural dynamic equivalence modeling. Awards: 2023 NAI Young Academic Inventor’s Award (for quantum computing in power systems) 2021 Outstanding Reviewer for IEEE Transactions on Power Systems 2014 Tsinghua University Outstanding Thesis Award Grants & Mentoring: Supervises PhD students (e.g., Xuguo Fu, Sijia Yu) and leads projects on quantum-enabled power analytics and learning-based verification. Advises on federal grants for smart grid resilience. Labs/Teams: Leads research in quantum power flow analysis and AI-driven control systems within the Electrical and Computer Engineering department.

Henrik Andersenمشاهده پروفایل

پژوهشگر

• Battery Systems
• Photovoltaics
• Renewable Energy Integration
• +۳ مورد دیگر

Henrik Andersen is a researcher at the Institute of Mechanical and Electrical Engineering , University of Southern Denmark, specializing in battery systems , photovoltaics , and power electronics . His work bridges artificial intelligence and energy storage , with a focus on second-life batteries, smart battery management, and renewable energy integration. Key Projects : Universal Battery Power Storage (EUDP), AIBMS Eurostars, Smart Power Conversion (Interreg 6A), Battery Lab Collaborations : Active partnerships with Danish PV plants, Electromobility consortia, and EU-funded initiatives His research emphasizes economic optimization of energy systems and machine learning for battery diagnostics, as seen in his 2023-2025 publications. Media coverage highlights his work on repurposing batteries from the world's longest-sailing electric ferry, Ellen.

Dragan Maksimovicمشاهده پروفایل

استاد

• Power Electronics
• Renewable Energy Systems
• High-Frequency Power Conversion
• +۵ مورد دیگر

Dragan Maksimovic is a Distinguished Professor and Charles Victor Schelke Endowed Professor in the Department of Electrical, Computer and Energy Engineering at the University of Colorado. He serves as Co-Director of the Colorado Power Electronics Center (CoPEC), leading research in smart power electronics and digital control for high-frequency power converters. His work focuses on renewable energy integration, wide bandgap semiconductor applications, and efficient energy systems. Research Interests: Power electronics for renewable energy, high-frequency power conversion using wide bandgap semiconductors, digital control of switched-mode converters, and integrated circuits for power management. His lab, CoPEC, has secured support from NSF, DARPA, ARPA-E, and industry partners. Awards: IEEE Fellow 2023 IEEE William E. Newell Power Electronics Award 2022 IEEE PELS R. David Middlebrook Achievement Award Advising & Grants: Supervises research aligned with CoPEC's industrial collaborations. Major grants include projects on DC fast charging, grid integration, and high-efficiency converter designs. Labs & Teams: Leads the Colorado Power Electronics Center (CoPEC), a hub for advanced power electronics research and development.

Muhammad Ijazمشاهده پروفایل

دانشیار

• Optical Communications
• IoT (Internet of Things)
• 5G Networks
• +۷ مورد دیگر

Dr. Muhammad Ijaz is an Associate Professor and Department International Lead at the Department of Engineering, Manchester Metropolitan University, UK. He holds a PhD in Free-Space Optical Communications from Northumbria University (2013) and leads the Laser and Optics Communication (LOC) lab. His research focuses on optical wireless systems, IoT, 5G/LiFi, and embedded systems, secured over £950K in funding (2020–2025). He has over 100 publications, including high-impact journals and IEEE conferences, and supervises doctoral students in communication technologies. Notable projects include IoT-enabled smart sensors for industrial applications, KTP collaborations with Arctic Hayes Ltd, and innovations in energy-harvesting systems. Awards include a 2024 Technical Excellence KTP Award finalist nomination. Teaching includes Optical Communications, RF/Wi-Fi systems, and MATLAB-based signal processing. He contributes to research-informed education and serves on the Faculty International Committee. His work bridges academia and industry, emphasizing knowledge transfer and sustainable technologies. Key collaborations span industries like Trumeter Ltd and Polymeric Ltd, with global partners. The LOC lab’s applied research addresses challenges in smart cities, agriculture, and underwater communications, leveraging perovskite materials and MIMO systems. Awards and recognition include over 1,800 citations (Google Scholar), an H-index of 25, and impactful contributions to visible light positioning (VLP) and VLC channel modeling in harsh environments. His lab’s innovations include self-powered LiFi systems and adaptive modulation for underwater IoT.

• Power Systems
• Matrix Converters
• Renewable Energy Integration
• +۳ مورد دیگر

Tomasz Sieńko is a Lecturer at the Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, Cracow University of Technology. His research focuses on power systems, matrix converters, and renewable energy integration. Specializes in power electronics with emphasis on matrix converters Active in renewable energy systems and power flow control Contributed to smart grid technologies and energy efficiency optimization His publications (2004-2025) demonstrate continuous development in power system control , phase shifting , and multiphase converter applications . Research trends show increasing focus on renewable energy integration and grid stability in recent years. Notable contributions include: Developing periodic control algorithms for reactive power compensation Designing multiphase matrix converters for grid applications Analyzing LED lighting system current characteristics Investigating high-speed generation interfaces Current research focuses on energy market dynamics and renewable energy expansion in Polish power systems.

Amal El-Ghazalyمشاهده پروفایل

استادیار

• Tunable Devices
• Integrated Thin-Film Magnetics
• Sensors and Actuators
• +۹ مورد دیگر

Amal El-Ghazaly is an Assistant Professor in the School of Electrical and Computer Engineering at Cornell University’s College of Engineering. Her research combines magnetism, ferroelectricity, and optics to develop tunable electronic systems for telecommunications, sensing, and actuation. She has received prestigious awards including the NSF CAREER Award and University of California President’s Postdoctoral Fellowship. Ph.D. in Electrical Engineering, Stanford University (2016) M.S. and B.S. in Electrical and Computer Engineering, Carnegie Mellon University (2011) Her research focuses on creating reconfigurable wireless transceivers using magnetoelectric thin films, aiming to miniaturize and enhance microwave/mm-wave systems for 5G/6G networks. She also emphasizes diversity initiatives, particularly in engaging underrepresented communities in STEM education. Recent publications highlight her work on ultrafast magnetic switching, GHz-band inductors, and tunable magnetoelectric resonators. Awards span teaching excellence, diversity advocacy, and early-career research leadership. NSF CAREER Award : Enabling tunable magnetic components for next-gen wireless systems UC President’s Postdoctoral Fellowship : Ultrafast all-electrical magnetic nanodot switching Diversity Awards : Zellman Warhaft and Graduate Diversity & Inclusion awards Her laboratory in Duffield Hall explores integrated magnetoelectric materials for applications in telecommunications, medicine, and agriculture.

• Additive Manufacturing
• Materials Science
• Surface Engineering
• +۳ مورد دیگر

Alberto Boschetto is a Full Professor at the Department of Mechanical and Aerospace Engineering, Sapienza University of Rome. His research focuses on advanced manufacturing technologies, particularly additive manufacturing (AM), materials science, and surface engineering. He leads investigations into 4D printing, laser powder bed fusion, and digital image analysis for quality control in AM processes. Key areas of expertise include: 4D printing of smart materials for dynamic applications Optimization of metal additive manufacturing processes (SLM, FFF) Surface characterization and post-processing techniques Application of AM in aerospace components (satellites, LIDAR systems) Industry 4.0 integration for space manufacturing Recent work emphasizes defect detection via digital image processing, corrosion-resistant coatings for aluminum alloys, and lightweight satellite platform design. His publications span over 20 years with a focus on improving AM process reliability and expanding its aerospace applications. Dr. Boschetto collaborates on EU-funded projects related to smart manufacturing systems and has pioneered AM redesign methodologies for military aircraft components. His research bridges fundamental materials science with practical industrial applications in aerospace and automotive sectors.

Luca Colomboمشاهده پروفایل

استاد پژوهشی

• Wireless Sensing
• Microelectromechanical Systems (MEMS)
• RF Technology
• +۶ مورد دیگر

Luca Colombo is an Assistant Research Professor in the Department of Electrical and Computer Engineering at Northeastern University's College of Engineering. His research focuses on advanced microelectromechanical systems (MEMS) and their integration into IoT and wireless sensing technologies. A key achievement includes pioneering work on programmable threshold sensing using Ising dynamics, published in Nature Electronics , which enhances energy efficiency and accuracy in IoT applications. His expertise spans acoustic resonators, piezoelectric materials, and RF systems, with contributions to high-frequency devices and harsh-environment sensing solutions. Recent research highlights include innovations in lithium niobate and scandium aluminum nitride (ScAlN) resonators, enabling ultra-wideband operation and temperature resilience. Colombo collaborates closely with industry and academia on projects such as subharmonic wireless tags and energy-harvesting systems for implantables. His work bridges fundamental materials science with applied engineering, addressing challenges in 5G/6G communication infrastructure and smart sensor networks. Notable contributions include over 15 peer-reviewed articles in 2024–2025 alone, focusing on MEMS resonators, programmable antennas, and AI-driven sensor optimization. His research emphasizes practical applications of microacoustic devices in energy-efficient communication and environmental monitoring systems.

• Analog Electronics
• Power Electronics
• Electromagnetic Compatibility (EMC)
• +۶ مورد دیگر

Franco Fiori is a Full Professor at the Department of Electronics and Telecommunications (DET) at Politecnico di Torino. His research focuses on analog electronics, electromagnetic compatibility, and power electronics, with emphasis on EMI reduction in automotive systems and acoustic data transmission in urban water networks. He leads the Microelectronics Electromagnetic Compatibility (EMC) group and contributes to the Power Electronics Innovation Center (PEIC) . Scientific sectors: PE7_2 (Power Components), PE7_5 (Microelectronics), SDG Goals 7/9/11/12/13 Teaching: Analog and Power Electronics (2019–2025), Fundamentals of Electronics for Aerospace Engineering (2019–2025) His research explores GaN HEMT gate drivers, delay compensation techniques (DCT), and EMC in smart power ICs. Recent work includes EMI reduction in WBG inverters and acoustic communication systems for water networks. Key projects: Optimization of GaN Gate Drivers (2022–2024), Substrate Coupling Analysis (2025–2027), and Acoustic Data Transmission in Water Pipes (2019–2020). He holds a patent for Serial Data Bus with Ultrasonic Connectors (2013) and collaborates with STMicroelectronics. Doctoral Students: Alberto Barbaro (2023–) Jacopo Serra (2023–) Markeljan Fishta (2019–2023)

• Wireless Communication
• Antenna Design
• Microwave Engineering
• +۶ مورد دیگر

Dr. Sam Lemey is an Associate Professor at the Faculty of Engineering and Architecture , Ghent University , and a researcher at IMEC . His work focuses on advanced antenna systems, microwave engineering, and wireless communication technologies. Primary affiliations: Ghent University, IMEC Key research areas: Millimeter-wave systems, UWB antennas, smart surfaces, RF-energy harvesting His research explores millimeter-wave distributed antenna systems for virtual reality and robotics, air-filled substrate-integrated waveguide (AFSIW) components , and machine learning applications in RF signal optimization. He has developed low-cost antenna arrays for 5G/6G, terahertz communication systems , and textile-integrated antennas for wearable IoT devices. Publications show trends in beamforming networks , radio-over-fiber integration, and human exposure reduction strategies. His work frequently involves collaborations with engineers and physicists on heterogeneous integration projects.

Qi Luoمشاهده پروفایل

مدرس ارشد

• Antennas
• Radio-Frequency Engineering
• Smart Antennas
• +۴ مورد دیگر

Dr Qi Luo is a Senior Lecturer in Radio-Frequency Engineering at the School of Physics, Engineering & Computer Science, University of Hertfordshire, UK. He holds a PhD in Telecommunications from the University of Porto and an MSc in Data Communications from the University of Sheffield. His career spans roles as a Research Fellow at Surrey Space Centre and Senior Research Fellow at the University of Kent, where he currently serves as a Visiting Senior Research Fellow. Education: PhD (Universidade do Porto), MSc (University of Sheffield) Collaborations: European Commission, British Engineering and Physical Sciences Research Council, global industry partners Editorial Roles: Associate Editor for IEEE Antennas and Wireless Propagation Letters and IEEE Access Dr Luo’s research focuses on advanced antenna technologies for next-generation wireless systems. He specializes in: Smart antennas and reconfigurable intelligent surfaces (RIS) Phased arrays, reflectarrays, and transmitarrays Electrically small and circularly polarized antennas Metasurfaces for beamforming and signal enhancement Millimeter-wave and terahertz antenna design Antenna miniaturization for mobile and implantable devices Recent publications highlight trends in terahertz metasurfaces, dual-frequency antenna design, and phased array performance optimization. His work addresses challenges in high-efficiency wireless power transfer for medical implants and hybrid RIS architectures for beyond-5G communications. Current Projects: High-efficiency wireless power transfer for implanted medical devices TERRAMETA: Terahertz reconfigurable metasurfaces for ultra-high-rate communications Millimetre-wave array antennas for mobile handsets Hybrid RIS hardware and signal processing frameworks Dr Luo actively mentors PhD students and collaborates with international academic and industrial partners. He is a Senior Member of IEEE and contributes to peer review for leading journals and conferences.

• Mechanical Engineering
• Robotics
• Vibration Control
• +۳ مورد دیگر

Matthew Christie is an Honorary Fellow and part-time teaching faculty in the Faculty of Engineering and Information Sciences at the University of Wollongong. His research focuses on advanced mechanical systems, particularly the application of magnetorheological (MR) technology in robotics, vibration control, and smart materials. Christie’s work spans robotics actuators, adaptive control systems, and structural dynamics, with notable contributions to magnetorheological fluid-based solutions for challenges in legged locomotion, seat suspension systems, and seismic protection. His publications emphasize innovative applications of MR fluids and elastomers in areas such as semi-active suspensions, haptic interfaces, and energy-efficient power transmission. Christie has collaborated extensively with researchers like Sun S., Deng L., and others, producing impactful work in journals like Machines , Smart Materials and Structures , and Mechanical Systems and Signal Processing . Christie’s research trends demonstrate a strong emphasis on integrating smart materials into mechanical systems for enhanced adaptability and performance, with a particular focus on real-world applications in robotics, transportation, and structural engineering.