جست‌وجوی استاد و پژوهشگر

• Structural Dynamics
• Railway Structural Dynamics
• Structural Health Monitoring
• +۷ مورد دیگر

Anders Rønnquist is a Professor and Head of the Department of Structural Engineering at NTNU’s Faculty of Engineering Science. His research focuses on structural dynamics, railway systems, and bridge engineering. He leads projects on structural health monitoring, wind engineering, and architectural collaboration in structural design. Key collaborations include work with KTH Stockholm, Vilnius University, and the University of Porto. He teaches courses such as Structural Dynamics, Steel Structures II, and Railway Catenary Systems. His work integrates advanced sensor technologies, machine learning, and probabilistic methods to address challenges in infrastructure longevity and safety. Research interests span structural monitoring, overhead contact line dynamics, and reliability assessments. Notable contributions include the development of Kalman filter-based systems for crosswind load identification and shape grammar approaches for architectural-structural design integration. His team has pioneered non-contact measurement techniques using digital image correlation and advanced neural networks for bridge rivet inspection. Publications highlight innovations in railway catenary optimization, timber structure dynamics, and probabilistic fatigue analysis. His work emphasizes interdisciplinary approaches, bridging engineering and architectural disciplines to enhance sustainable infrastructure solutions.

• Electrical Engineering
• Lightning Protection
• Machine Learning Applications
• +۳ مورد دیگر

Massimo Brignone is an Associate Professor at the Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN), University of Genoa. His academic role includes teaching courses such as Complementi di Circuiti , Elettrotecnica , and Sistemi Elettrici per l'Energia in the Electrical Engineering, Maritime Science and Technology, and Naval Engineering degree programs. His research focuses on lightning performance analysis, electromagnetic field reconstruction, and machine learning applications in power systems. Recent research trends include: Integration of machine learning for lightning location and overvoltage prediction Analysis of HVDC offshore return electrode designs Electromagnetic compatibility in transmission lines Deep learning-based lightning detection systems Contact: massimo.brignone@unige.it | Availability: By appointment via email or TEAMS

Vladica Miјailovićمشاهده پروفایل

استاد

• Power Systems Reliability
• Electrical Distribution Systems
• High-Voltage Engineering
• +۴ مورد دیگر

Dr. Vladica Miјailović is a Full Professor at the Department of Electrical Power Engineering, Faculty of Technical Sciences Čačak, University of Kragujevac, Serbia. His academic career spans over three decades with significant contributions to power systems engineering and electrical distribution networks. B.Sc. in Electrical Engineering (1991) M.Sc. (1995) Ph.D. (1999) Professor Miјailović specializes in power systems reliability and modern maintenance techniques. His research focuses on high-voltage engineering, electrical distribution systems, and renewable energy integration. He has made significant contributions to understanding components of high-voltage switchgears, reliability of electrical distribution systems, and monitoring and diagnostics of power equipment. His work bridges theoretical research with practical applications in the energy sector, particularly in power plants and renewable energy resources. His recent publications demonstrate a strong focus on modern power system challenges, particularly the integration of distributed energy resources into existing grids. There's a clear trend toward analyzing the impact of renewable energy sources on grid stability, developing methods for calculating short-circuit currents in networks with distributed generation, and optimizing distribution networks for improved reliability and efficiency. His work increasingly addresses the transition toward sustainable energy systems and the technical challenges associated with this transition. Professor Miјailović has led and participated in numerous research projects focused on power system reliability, maintenance optimization, and distribution network analysis. These projects have been conducted in collaboration with industry partners including ETI "Nikola Tesla" and Elektrosrbija, demonstrating the practical application of his research. His work has significantly influenced maintenance practices and reliability assessment methodologies in the Serbian power sector.

• Power Systems
• Transformers
• Short Circuit Analysis
• +۷ مورد دیگر

Dr. Eng. Paweł Albrechtowicz is a Lecturer at the Department of Electrical Engineering within the Faculty of Electrical and Computer Engineering at Cracow University of Technology. His research focuses on power systems, transformers, phase-shifting transformers, and short circuit analysis. Key research areas: Power systems reliability, Renewable energy integration, Active power losses, Transmission line thermal behavior Recent publications demonstrate expertise in phase-shifting transformer applications for power flow control, thermal analysis of cables under fault conditions, and renewable energy system performance. Collaborations include researchers like Smugała Dariusz, Rozegnał Bartosz, and Cisek Piotr. No explicit scientific awards are documented in the provided materials.

Augustine Ikpehaiمشاهده پروفایل

مدرس ارشد

• Smart Grid
• IoT and Intelligent Infrastructure
• Electric Vehicle (EV) Charging Networks
• +۵ مورد دیگر

Dr. Augustine Ikpehai is a Senior Lecturer in the Department of Engineering and Mathematics at Sheffield Hallam University, part of the College of Business, Technology and Engineering. He joined the university in 2019 after completing post-doctoral research at Manchester Metropolitan University. His expertise spans Smart Grids, IoT, and Intelligent Infrastructure, with a focus on EV charging networks, cyber security, and renewable energy integration. Education: PhD in Smart Grid Communication (Manchester Metropolitan University) MSc in Communication Engineering (Lancaster University) Research Interests: His work addresses EV charging infrastructure, smart wireless power transfer, transactive energy systems, and IoT security in critical infrastructure. He has led projects such as the Innovate UK-funded City Verve IoT initiative and contributed to the EU H2020 Triangulum Smart Cities project. Grants & Projects: Overhead Line Warning System (£581,721 – 2023–2025) Optimal Scheduling of EV-Integrated Multi-Energy Systems (£83,986 – 2022) EU H2020 Triangulum Project (€23M – 2014–2019) Awards: MMU Research Knowledge Exchange Award (2016) UK-China Newton Fund Travel Grant (2019) UK-Brazil Newton Fund Travel Grant (2019) Advising & Labs: Supervises multiple PhD students and collaborates with the Centre for Automation and Robotic Research and Hallam Energy. He has advised projects ranging from hybrid encryption frameworks to hydrogen supply chain dynamics.

Joao Pomboمشاهده پروفایل

استاد

• Railway Engineering
• Railway Technology
• Vehicle-Track Interaction
• +۷ مورد دیگر

Joao Pombo serves as Professor of Railway Technology at the Institute of Railway Research, University of Huddersfield, UK. He holds dual appointments in the Department of Engineering within the School of Computing and Engineering. With a PhD and Post-Doc in Mechanical Engineering from the University of Lisbon, Portugal, he brings over 24 years of specialized experience in railway engineering and technology. His academic leadership extends to serving as editor-in-chief of the International Journal of Railway Technology and chairman of the International Conference on Railway Technology series. Professor Pombo's research expertise spans railway vehicle dynamics, pantograph-catenary interaction, structural analysis, and condition monitoring. His work addresses critical challenges in high-speed rail, maintenance engineering, and predictive maintenance systems. He employs advanced methodologies including multibody dynamics, machine learning algorithms, and hardware-in-the-loop testing to solve complex railway engineering problems. His research directly contributes to UN Sustainable Development Goals related to sustainable transport infrastructure and clean energy systems. Analysis of his recent publications reveals a strong focus on advancing railway electrification systems through improved pantograph-catenary interaction models, while increasingly incorporating machine learning techniques for infrastructure optimization and condition monitoring. His work demonstrates consistent innovation in modeling complex railway dynamics, with particular emphasis on real-world applications that enhance safety, efficiency, and sustainability in rail transport systems. Professor Pombo's scientific recognition includes four innovation prizes for his R&D work. He serves on editorial boards for prestigious journals including Multibody System Dynamics and Energies - Electric Vehicles , and has established himself as a leading authority in international railway research circles. Editor-in-chief of International Journal of Railway Technology Chairman of International Conference on Railway Technology series Editorial board member of Multibody System Dynamics Editorial board member of Energies - Electric Vehicles With over 170 publications in refereed journals and international conferences, Professor Pombo actively supervises PhD students and collaborates with leading international research centers and industry partners. His prior three years of industry experience at BOMBARDIER and ALSTOM provides valuable practical context for his academic research. Current projects include developing advanced condition monitoring systems, optimizing railway infrastructure performance, and creating novel analysis tools for railway electrification systems. As a core member of the Institute of Railway Research at the University of Huddersfield, Professor Pombo contributes to one of the world's leading railway research centers. His work with the UKRRIN Centre of Excellence in Rolling Stock demonstrates his commitment to translating academic research into practical industry applications that support railway electrification and infrastructure modernization projects worldwide.

Daniel Spethمشاهده پروفایل

پژوهشگر

• Electrification of Road Freight Transport
• Market Diffusion of Electric Vehicles
• Charging Infrastructure
• +۲ مورد دیگر

Daniel Speth is a Researcher at the Fraunhofer Institute for Systems and Innovation Research (ISI) in the Department of Energy Technology and Energy Systems. He earned his doctoral degree from the Karlsruhe Institute of Technology (KIT) in May 2024 for his dissertation on electrification of road freight transport, focusing on public fast charging infrastructure and market diffusion of battery electric trucks. His educational background includes: Bachelor’s and Master’s studies in Industrial Engineering and Management at KIT, specializing in energy economics and logistics 2018 Master’s thesis at Fraunhofer ICT on EU legislation impacts on CO 2 fleet targets 2024 Doctoral degree from KIT on electric truck infrastructure and market diffusion Speth’s research centers on heavy-duty vehicle electrification, with expertise in techno-economic assessments of alternative fuel vehicles and charging infrastructure planning. His work analyzes market diffusion patterns, infrastructure requirements for battery electric trucks, and integration of electric mobility into power systems, utilizing agent-based modeling and real-world data analysis to inform policy decisions. His 2024-2025 publications reveal a concentrated focus on heavy-duty transport electrification, particularly optimal fast-charging network design for battery electric trucks across Germany and Europe. Key themes include megawatt charging infrastructure, comparative analysis of overhead line versus static charging systems, and behavioral factors affecting electric vehicle adoption in freight and passenger transport. No scientific awards were documented in the provided information. Speth contributes to the ALADIN project (a diffusion model for electric mobility) and participates in major Fraunhofer initiatives like eWayBW for overhead line truck testing. His collaborative work involves transportation data analysis, infrastructure planning, and policy evaluation for German federal programs, though specific grant details and student advising roles are not disclosed. As a core member of Fraunhofer ISI’s energy systems team, he collaborates with KIT researchers and industry partners on real-world implementation projects. His work bridges technical infrastructure development with market adoption analysis, particularly through the ALADIN modeling framework that simulates electric mobility diffusion scenarios under varying policy conditions.

• Smart Grids
• Energy Storage Systems
• Electric Vehicle Charging
• +۷ مورد دیگر

Dr. Ben Potter is a researcher at the University of Reading, with a sustained record of scholarly contributions in electrical engineering and energy systems. His work is closely associated with the development and analysis of smart grid technologies, energy storage, electric vehicle integration, and power electronics. He has collaborated extensively with researchers including William Holderbaum, S. T. Smith, and T. Yunusov across multiple high-impact journals and conferences. His research interests span a wide range of topics critical to modern energy infrastructure: Smart grid control and optimization Energy storage integration and scheduling Electric vehicle charging and depot management Low-voltage distribution network operations Techno-economic modeling of energy systems Power electronics and resonant converters The trend in his recent publications shows a strong focus on integrating renewable energy and electric transport into the grid through intelligent control, economic modeling, and real-time parameter estimation. His work often combines theoretical modeling with practical implementation, particularly in the context of distribution network operator (DNO) challenges. Dr. Potter has made significant contributions to the understanding of: Carbon impacts of electricity network investments Frequency response in complex power systems Design of axial flux wind generators Non-invasive transmission line monitoring He has advised or collaborated with several researchers who appear as co-authors, though no formal PhD or Master’s students are explicitly listed. His research has been supported by projects related to smart grids, energy storage, and sustainable infrastructure, as reflected in his publication topics. He is affiliated with a research group focused on power systems and energy management, likely within the School of Engineering at the University of Reading, though the exact departmental structure is not specified in the data.

Pawel Niewczasمشاهده پروفایل

استاد

• Photonic Sensing
• Optical Fiber Sensors
• Fibre Bragg Grating Sensors
• +۱۳ مورد دیگر

Professor Pawel Niewczas is a leading academic in the Department of Electronic and Electrical Engineering at the University of Strathclyde, where he leads the Advanced Sensors Team within the Institute for Energy and Environment. He serves as Director of the Graduate School and Director of the Electrical Power and Energy Systems (EPES) MSc course, playing a key role in academic leadership and postgraduate education. His expertise lies in the development and application of photonic sensing technologies, particularly fibre-optic and FBG-based sensors, for use in power and energy systems. Research areas include power system metering and protection, structural health monitoring of wind turbines, downhole and subsea sensing, and instrumentation for nuclear fission and fusion environments. He focuses on sensor design, fabrication, packaging, deployment, and interrogation in harsh industrial conditions. His recent publications highlight a strong trend toward photonic solutions for HVDC networks, fault detection, optical current sensing, and smart grid resilience. These works reflect a focus on real-time monitoring, calibration accuracy, distributed sensing, and integration of photonic technologies into existing energy infrastructure. The interdisciplinary nature of his research spans electrical engineering, materials science, photonics, and industrial metrology. Winner in the 'Best University Technology' category at the Fourth Annual UK Energy Innovation Awards 2014 "Highly Commended" title awarded to Synaptec Ltd and University of Strathclyde at the IET Innovation Awards 2014 Professor Niewczas actively supervises PhD, MSc, MPhil, and EngD students and leads multiple funded research projects, including EPSRC IAA, PHOENIX, EMERGE, and YETIS. He collaborates with industry partners such as SSE, Scottish Power Renewables, EDF Energy, GE Oil & Gas, and Rolls-Royce. He is also co-founder and R&D Director of Synaptec, a university spin-out commercializing photonic sensing technology. He contributes to the academic community through editorial roles in IEEE Transactions on Instrumentation and Measurement and as General Co-Chair of the IEEE I2MTC 2024 conference. He leads the Advanced Sensors Team, which focuses on developing spectrally encoded sensors, fibre-to-metal bonding techniques, and low-cost, high-performance interrogation systems. The team works on integrated photonics and nano-resolution measurement systems, supporting both academic research and industrial applications.

• Smart Grids
• Power System Modelling
• Renewable Energy Integration
• +۱۲ مورد دیگر

Dr. Shuhang Shen is a Lecturer in Smart Grid within the College of Engineering, Mathematics and Physical Sciences at the University of Exeter. He holds a PhD in Electrical Power Engineering from the University of Manchester (2020) and dual MSc degrees in Electrical Engineering from Politecnico di Milano, Italy, and Xi'an Jiaotong University, China (2016). He is a member of IEEE and IET, actively contributing to research and teaching in smart power systems. Research Interests: Power system modelling and simulation Digitalisation of power equipment and systems Integration of renewable energies Impact of low carbon technologies on power networks Resilience of future power networks Smart grid technologies for Net-Zero transition His recent work includes industry-funded studies on battery energy storage integration and six-phase transmission systems. These efforts focus on enhancing grid flexibility, visibility, and transfer capacity in response to evolving energy demands. Scientific Affiliations: Institute of Electrical and Electronics Engineers (IEEE) Institution of Engineering and Technology (IET) Dr. Shen is actively involved in supervising postgraduate research and offers PhD studentship opportunities, particularly through collaborations with the China Scholarship Council and University of Exeter funding schemes. He contributes significantly to teaching, serving as Module Convener for Power System Analysis and lecturing on Digital Twinning for Power System Plant , Resilience of Electrical Energy Systems , and Engineering Mathematics and Scientific Computing . Laboratories and Research Environment: While specific lab names are not mentioned, his research is embedded within the broader power systems and smart grid research group in the College of Engineering, Mathematics and Physical Sciences, focusing on digital twin applications, network resilience, and active distribution network management.

• Electrical Engineering
• Renewable Energy Systems
• Electric Motor Control
• +۳ مورد دیگر

Prof. Dr. Petar Matić is a Full Professor at the Faculty of Electrical Engineering , University of Banja Luka, specializing in electric motor control, power systems optimization, and renewable energy integration. He has led numerous national and international research projects, including "Unapredjenje sistema obnovljive energije u Jadransko-jonskom regionu kroz koriscenje digitalnih blizanaca" (2024–2027) and "Digital Position Control System with a BLDC Motor Using Field Oriented Control" (2023). His work focuses on improving energy efficiency, fault detection, and control algorithms in electrical systems. Research Interests: Optimization of induction and synchronous motor drives, renewable energy hybrid systems, magnetic field-based fault detection, and smart grid technologies. Projects: Led EU-funded INTERREG project (€225,000+), multiple Ministry of Science-funded initiatives, and industry collaborations with ABB. Publications: Over 25 peer-reviewed articles in IEEE, IET, and regional journals, including key works on BLDC motor control, transformer hot-spot temperature modeling, and fault passage indicators. Infrastructure: Developed laboratory setups like VEKTRA test bench for control algorithm verification and magnetic field-based fault detection systems.

Dimitrije Rozgićمشاهده پروفایل

استادیار

• Electrical Power Engineering
• Signal Processing
• Power System Analysis
• +۳ مورد دیگر

Dimitrije Rozgić is an Assistant Professor at the Department of Electrical Power Engineering within the Faculty of Technical Sciences in Čačak , University of Kragujevac . He has been affiliated with the university since 2008, holding roles from teaching assistant to his current position. His educational background includes a B.Sc. and Ph.D. in Electrical Engineering (Electrical Power Engineering) from the University of Kragujevac. His research focuses on signal processing applications in power engineering, specifically in harmonics and phasor parameter estimation removal of decaying DC components from fault currents electromagnetic transient analysis optimization of power line emissions His publications highlight expertise in Newton-Raphson algorithms , DFT-Prony methods , and symmetrical component analysis . He has contributed to international journals like IET Signal Processing and Electrical Engineering , and conferences such as IEEE EUROCON . He participated in the national project III 42009: Intelligent Energy Networks (2018-2019, 2021-present). His teaching portfolio includes High Voltage Techniques Power System Analysis Electric Power Transmission Power System Substations He is actively involved in Laboratory for Electrical Machines, Electromotor Drives and Automation , and collaborates with institutions like the University of Belgrade’s School of Electrical Engineering.

• Digital Twins
• Building Information Modelling (BIM)
• Internet of Things (IoT)
• +۷ مورد دیگر

Dr Mahendrini Ariyachandra is a Lecturer in Building Information Modelling and Management at the Bartlett School of Sustainable Construction, University College London. She holds an Orcid identifier (0000-0002-9654-9289) and has extensive experience in digital construction technologies. PhD in Civil Engineering (University of Cambridge, 2024) Postgraduate Certificate in Teaching and Learning in Higher Education (University of Cambridge, 2025) BSc (Hons) in Quantity Surveying (University of Moratuwa, Sri Lanka) Her research focuses on Digital Twins , BIM , and Smart City Development , with applications across roads, bridges, and buildings. She integrates IoT and 3D Reconstruction to enhance infrastructure resilience and energy efficiency. Recent publications emphasize advancing geometric digital twinning for railways using LiDAR data and developing smart technology frameworks for infrastructure sustainability. Her work spans automated modeling , information interoperability , and AR/VR/MR applications. Cambridge Trust Scholarship (PhD funding) RisingWISE Fellow at Oxbridge STEM Women's Network Fellow (HEA) and Associate Fellow (AFHEA) from Advance HE As a co-investigator in the Horizon Europe-funded BUILDSPACE project , she contributes to energy-efficient building research. She leads digital education initiatives at UCL and chairs the CSIC Early-Career Academics and Professionals Panel at Cambridge.

Jeroen B.M. van Waesمشاهده پروفایل

استاد

• Power Quality
• Electrical Engineering
• Energy Transition
• +۷ مورد دیگر

Jeroen B.M. van Waes is a Professor at the Department of Electrical Engineering , Eindhoven University of Technology (TU/e) . He also serves as a Network Strategist at TenneT (since 2017) and previously worked as a consultant at Movares (2001–2017). His research focuses on ensuring power quality in evolving energy networks, particularly addressing voltage dips, harmonics, and the impact of renewable energy integration. He actively contributes to international committees like CIGRE and chairs the Dutch standardization committee NEC 8. Van Waes holds an MSc (1996) and PhD (2003) in Electrical Engineering from TU/e. His PhD thesis on grounding safety earned him the Hidde Nijland Prize in 2004. He has been a key figure in addressing technical performance standards for power systems through roles in CIGRE’s national study committees and working groups on power quality and EMC. His research interests span the energy transition’s effects on grid stability, voltage quality specifications, and collaborative approaches to infrastructure challenges. Recent work emphasizes case studies on short-circuit power dynamics, voltage unbalance in overhead lines, and future network trends. He advocates for interdisciplinary solutions to ensure reliable power supply amid systemic changes. Awards: Hidde Nijland Prize (2004) Advising & Grants: While no student names are explicitly listed, he has supervised 4 works. His role at TenneT and TU/e involves strategic grant-funded projects analyzing grid resilience and voltage quality under energy transition scenarios. Collaborations include TenneT, Movares, and organizations like ProRail and KEMA/DZL. Labs & Teams: He is affiliated with the Electrical Energy Systems (EES) group at TU/e’s Department of Electrical Engineering. His work integrates with TenneT’s operational teams and academic-industrial partnerships, focusing on real-world network challenges and standardization efforts.

Pieter J.A. Harpeمشاهده پروفایل

دانشیار

• Analog and Mixed-Signal Circuits
• Low-Power Electronics
• Medical Applications
• +۴ مورد دیگر

Pieter J.A. Harpe is an Associate Professor in the Department of Electrical Engineering at Eindhoven University of Technology (TU/e). He leads the Resource Efficient Electronics Lab, focusing on analog and mixed-signal circuits for low-power applications in medical and wireless systems. His work emphasizes energy and chip area efficiency, particularly in Analog-to-Digital Converters (ADCs) and sensor interfacing. Education: M.Sc. and Ph.D. in Electrical Engineering from TU/e (2004 and 2010) Researcher at Holst Centre/imec (2008-2011) Research Interests: Ultra-low-power ADC design Medical and mobile electronics Resource-efficient analog circuits Sensor interfacing and communication systems Awards: NWO Veni Grant (2013) NWO Vidi Grant (2018) Grants & Projects: "Analog circuits to the limit: minimum resources with maximum performance" (2018-2023) "A pilot line for the next generation of smart catheters and implants" (2018-2021) "Enabling widespread ambulatory monitoring for improved pregnancy outcome" (2016-2021) Labs & Teams: Resource Efficient Electronics Lab (YouTube channel available) Collaborations with imec and Holst Centre