جست‌وجوی استاد و پژوهشگر

Nimsiri Abhayasingheمشاهده پروفایل

مدرس ارشد

• Inertial Measurement Unit (IMU) Applications
• Human Gait Modeling and Analysis
• Sensor Data Processing
• +۳ مورد دیگر

Nimsiri Abhayasinghe is a Senior Lecturer at Curtin University's School of Electrical Engineering, Computer and Mathematical Sciences. Their work focuses on inertial measurement units (IMUs), human gait modeling, and sensor-based systems for navigation, robotics, and biomedical applications. They are affiliated with the Faculty of Science and Engineering and contribute to the Office of the Provost's initiatives. Research interests include IMU calibration techniques, wearable sensor algorithms, and IoT-enabled assistive technologies. Notable contributions involve developing cost-effective IMU systems for navigation research, validating thigh angle estimation accuracy using optical motion capture, and creating gesture recognition systems for sign language. Publications span topics like human gait phase recognition, RPM detection using ignition pulses, and solar microgrid designs. Their work bridges mechanical engineering, computer science, and biomedical applications, emphasizing practical sensor integration and algorithmic innovation. No scientific awards are listed, but their research demonstrates expertise in sensor data analysis and interdisciplinary engineering solutions. Advising and grant details are not explicitly provided in the profile. They are based at Curtin Perth's New Technologies Building, Room 329.

Rosa Kappertمشاهده پروفایل

پژوهشگر

• Energy Transition
• Sustainable Energy Systems
• Energy Data Analysis
• +۳ مورد دیگر

Rosa Kappert is a researcher at Hanze University of Applied Sciences' Centre of Expertise Energy, specializing in system integration challenges within the energy transition. She holds a PhD in Nuclear and High Energy Physics from the University of Groningen (2022) and has additional degrees in Mathematics and Physics. Her work focuses on modeling complex energy systems, analyzing energy data, and addressing issues like network congestion and energy carrier synchronization. Education: Doctor of Philosophy (2017–2022), University of Groningen Master of Science in Physics (2013–2016), University of Groningen Bachelor of Science in Mathematics and Physics (2010–2013), University of Groningen Research Interests: Rosa combines her expertise in physics and mathematics to develop solutions for sustainable energy systems. Her work aligns with UN SDGs 7 (Affordable Clean Energy) and 13 (Climate Action), addressing topics like grid optimization, industrial energy hubs, and community-level energy management. Recent projects include the Groningen Stroomt Door pilot and the MODES market organization initiative. Key Projects (2022–2024): FLXPSTS: Flexposts (2022–2025) Groningen Stroomt Door (2022–2024) SMLLND - FS I: Regiodeal (2022–2024) Awards: 2024 recipient of the 'Pitch en poster met de meest helder impact' award for clear communication of energy system challenges. Grants & Activities: Co-principal investigator in multiple energy transition projects. Active in national and international conferences (e.g., 'Just and Inclusive Energy Transition' 2023) and community initiatives like the Stichting The Green Shift (Chair since 2018). Labs/Teams: Core member of the Hanze Centre of Expertise Energy, collaborating with academic and industry partners on pilot projects and data-driven solutions.

Marie-Cécile ALVAREZ-HERAULTمشاهده پروفایل

دانشیار

• Smart Grids
• Electrical Distribution Networks
• Renewable Energy Integration
• +۳ مورد دیگر

Marie-Cécile ALVAREZ-HERAULT is an Associate Professor at Grenoble Institute of Technology, specifically at the National School of Energy, Water and Environment (ENSE3). She leads the Electrical Energy research master's degree and the Power Systems option of the Electrical Energy Engineering program. As a member of the SYREL research team at G2Elab laboratory, she conducts significant research on Smart Grids and electrical distribution networks. Education: Engineering degree from ENSIEG-INP (Grenoble Institute of Technology), 2007 Doctorate in Electrical Engineering from INPG (Institut National Polytechnique de Grenoble), 2009 Dr. ALVAREZ-HERAULT's research focuses on developing future electricity networks that are accessible, economical, and reliable. Her work specifically addresses Smart Grids as key solutions for integrating renewable energies while maintaining grid stability. She investigates new distribution network architectures, stochastic optimization of investment choices, and the impact of flexibility mechanisms on network planning. Her research has practical applications in both urban and rural contexts, with recent work emphasizing rural electrification in developing countries. Her extensive publication record from 2008-2025 demonstrates a clear evolution in focus from traditional distribution network architectures toward innovative solutions for high renewable penetration. Recent work shows strong emphasis on rural electrification, microgrid planning, and managing uncertainty in distribution system planning. Her research spans both AC and DC distribution systems, with case studies in Cambodia and Africa highlighting practical implementations of her theoretical work. Industrial Collaborations: KIC INNOENERGY (Smart Power project, Sweden, 2010-2014) Schneider Electric (patent development, since 2010) GEG (Greenlys Smart Grids demonstrator project, since 2011) ERDF (distribution network chair, since 2013) RWTH Aachen (EVOLVDSO European project, since 2013) Dr. ALVAREZ-HERAULT teaches various courses at ENSE3 covering electrical equipment implementation, network construction, transformers, and advanced smart grid functions. Her teaching directly reflects her research expertise, providing students with practical knowledge of modern power systems challenges and solutions. She is actively involved in the SYREL research team at G2Elab, which focuses on the integration of renewable energies into electrical networks. Her work bridges theoretical research with practical industry applications through multiple ongoing collaborations with major energy companies and participation in European research projects.

Qing-Chang Zhongمشاهده پروفایل

استاد

• Power Electronics
• Smart Grids
• Renewable Energy Integration
• +۲ مورد دیگر

Dr. Qing-Chang Zhong is the Max McGraw Endowed Chair Professor of Energy and Power Engineering and Management at Illinois Institute of Technology's Armour College of Engineering, with joint appointment in Electrical and Computer Engineering. As founder/CEO of Syndem LLC, he leads research in smart grid architectures, power converter control, and renewable integration, with seminal contributions to Virtual Synchronous Machine (VSM) technology cited in U.S. Congressional hearings. Education includes dual PhDs: Control and Power Engineering from Imperial College London (2004) and Control Theory from Shanghai Jiao-Tong University (2000), complemented by MSc (Hunan University, 1997) and engineering diploma (Xiangtan Institute, 1990). Research develops power-electronics-enabled autonomous power systems via the SYNDEM (Synchronized-and-Democratized) architecture. Core innovations include universal droop control, self-synchronized inverters, and bounded stability frameworks. Work fundamentally addresses grid stability in converter-dominated renewable-rich systems through novel control paradigms. Publications show consistent focus on grid-forming control strategies across 200+ papers. Recent works emphasize experimental validation and practical implementations, while foundational contributions established VSM architectures. The trajectory demonstrates evolution from theoretical frameworks to field-deployable solutions for next-generation grids. Honors include IEEE and IET fellowships, with inventions recognized as "game changers" for grid modernization. As IEEE Standard 2988-2024 chair, developed the first international VSM specifications. Student researchers received IET Dissertation Awards and Chinese National Outstanding Student awards under his mentorship. Entrepreneurial leadership includes commercialization through Syndem LLC, securing federal grants for VSM product development. Policy impact includes technical advisory roles for UK Grid Code changes and U.S. DOE initiatives on grid-forming technologies.

• Mathematical Optimization
• Power System Operation and Control
• Microgrids
• +۳ مورد دیگر

Miguel Ángel Ríos Ocampo is a Researcher at Comillas Pontifical University’s Institute for Research in Technology (IIT), School of Engineering (ICAI). He is a Ph.D. candidate in electrical energy, focusing on energy systems modeling for sustainable transitions. His current role involves researching microgrids, power system operation, and renewable energy integration. He is also a member of the Energy and Poverty Chair. Education: B.Sc. and M.Sc. in Electrical Engineering from the Technological University of Pereira (UTP), Colombia. Ph.D. candidate in Electrical Energy at Comillas Pontifical University. Research Interests: Mathematical optimization of power systems, microgrid control, renewable energy integration, sustainable energy policies, and energy justice. His work bridges technical and societal aspects of energy transitions. Key Projects: "Assessment of Time and Cost Dynamics in Metropolitan Transport" (2025). "Indicators of Energy Poverty, Spain 2022" (2023). Professional Activities: Organized events like the "LivingLab Forum against Energy Poverty" (2025) and presented at conferences such as the European University Institute’s Climate, Energy and Environmental Justices workshop (2023). Labs/Teams: Active in the Energy and Poverty Chair, focusing on interdisciplinary solutions to energy poverty and sustainable transitions.

Udaya Annakkageمشاهده پروفایل

استاد

• Power System Control and Stability
• Electrical Energy Systems
• Power Systems
• +۵ مورد دیگر

Dr. Udaya Annakkage is a Professor in the Department of Electrical and Computer Engineering at the University of Manitoba. He holds a PhD from the University of Manchester (UK) and has over 30 years of experience in teaching, research, and consulting. His research focuses on power system control and stability, electrical energy systems, and renewable energy integration. Dr. Annakkage has served as Head of the Department of Electrical and Computer Engineering (2008–2012 and 2020–2021) and was an editor of IEEE Transactions on Power Systems (2009–2012). He has supervised over 20 PhD students and has contributed extensively to IEEE and CIGRE working groups. Education: PhD, University of Manchester, UK (1987) MSc, University of Manchester, UK (1984) BSc (Eng.), University of Moratuwa, Sri Lanka (1982) Research Interests: Dr. Annakkage specializes in power system dynamics, stability analysis, renewable energy integration, grid-forming inverters, and advanced control strategies for power systems. His work emphasizes enhancing grid resilience, improving transient stability, and addressing challenges in inverter-dominated networks. Publications: His recent work explores topics such as grid-forming converter control, microgrid stability, and oscillation analysis in power systems. These contributions highlight advancements in renewable energy integration and dynamic system modeling. Grants & Advising: While currently not offering graduate student opportunities, Dr. Annakkage has a distinguished record of mentoring PhD and MSc students. His research has been supported by grants focusing on power system innovation and sustainability. Labs & Teams: Collaboration with IEEE and CIGRE underscores his involvement in industry-relevant research. Key projects include co-simulation platforms for real-time security assessment and stability analysis tools for large-scale power systems.

• Database Systems
• Software Engineering
• Data Integration
• +۳ مورد دیگر

Roger King is a seasoned researcher with over 40 years of contributions to computer science, particularly in database systems, software engineering, and data integration. His work spans heterogeneous database management, semantic modeling, and distributed systems, often collaborating with leading institutions like University of Colorado and Springer. 1987: Co-authored foundational paper on semantic database modeling in ACM Computing Surveys 1992: Developed FaceKit database interface design toolkit 1994: Pioneered DIRECT query facility for multiple databases Research Interests: King's work focuses on database integration , semantic interoperability , and self-adaptive systems . Notable projects include Sybil for database evolution, Cactis for object-oriented databases, and COIL mediator definition language. Key Trends: His 15 most recent publications (2024-1999) address challenges in smart data systems , autonomous systems performance , and microgrid control , reflecting sustained expertise in data semantics and system architecture.

Jie Xuمشاهده پروفایل

استاد

• Artificial Intelligence
• Data Science
• Stochastic Optimization
• +۶ مورد دیگر

Jie Xu is a Professor in the Department of Systems Engineering and Operations Research (SEOR) at George Mason University, with affiliations in the Department of Computer Science and Department of Statistics. His research focuses on algorithmic advancements in artificial intelligence, digital twin simulation, data science, stochastic optimization, and risk analytics, with applications in transportation, power systems, healthcare, and semiconductor manufacturing. He has led NSF-funded projects on bus fleet electrification, EV infrastructure, and human digital twin modeling. Previously, he served as President of the INFORMS Simulation Society (2022-2024) and as an Associate Editor for multiple journals. Education : PhD in Industrial Engineering (Northwestern University), MS in Computer Science (SUNY Buffalo), ME in Communications (Shanghai Jiao Tong University), BS in Electrical Engineering (Nanjing University). Research interests include digital twin-based optimization, Bayesian optimization, Monte Carlo tree search, and reinforcement learning. He has developed methodologies for cloud computing, EV grid integration, and cyber-physical systems resilience. Recent work emphasizes real-time simulation learning and DDDAS for energy systems. His NSF grants include the $1.5M CREATE project for transit electrification and FDT-BioTech for neurophysiological modeling. He teaches courses on stochastic simulation, predictive analytics, and optimization. Grants include funding from NSF, DOE, and ONR, totaling over $3M. Collaborations span universities, national labs, and industry partners.

Keigo Hirakawaمشاهده پروفایل

استاد

• Signal Processing
• Image Processing
• Digital Cameras
• +۳ مورد دیگر

Keigo Hirakawa is a full-time Professor and Bernhard Schmidt Chair in Engineering Leadership at the University of Dayton's School of Engineering, Department of Electrical and Computer Engineering. He holds a joint appointment with the Electro-Optics and Photonics program. His academic journey includes a Ph.D. from Cornell University (2005), an M.S. from Cornell (2003), a B.S. from Princeton University (2000), and a Master of Music in Jazz Studies/Piano Performance from the New England Conservatory (2006). His research focuses on signal and image processing, statistical modeling, color image processing, and digital camera pipeline optimization. He is actively involved in professional activities such as serving as an Associate Editor for SPIE's Journal of Electronic Imaging and IEEE Transactions on Image Processing , and participates in the IEEE Image, Video, and Multidimensional Signal Processing Technical Committee. Recent work emphasizes event-based sensing, noise reduction in imaging systems, and advanced spectral imaging techniques. His research has led to innovations like Fourier multispectral imaging and Kalman filter-based particle velocimetry. He teaches courses such as ECE 203, 215, 340, 445, and graduate-level ECE 503 and 595. His laboratories focus on developing next-generation imaging systems and sensor technologies, with applications in aerospace, cybersecurity, and biomedical imaging. Collaborations span industry and academia to address challenges in real-time data processing and high-fidelity image reconstruction.

• Artificial Intelligence
• Reinforcement Learning
• Internet of Things (IoT)
• +۵ مورد دیگر

Dr. Qingzhi Liu is an Assistant Professor at the Information Technology Group within Wageningen University & Research in the Netherlands. He holds a Ph.D. from Delft University of Technology (2016) and postdoctoral research experience at Eindhoven University of Technology (2016-2019). His research focuses on AI-driven solutions for precision agriculture, IoT systems, and edge computing. He teaches courses including Big Data (INF33806), Artificial Intelligence (INF36306), and Advanced Machine Learning (FTE40306). Research interests include reinforcement learning applications in microgrid energy management, deep learning-based crop classification using UAV imagery, and blockchain-enhanced IoT security frameworks. He has published in top venues like IEEE TPDS and IEEE TITS, addressing challenges in smart agriculture, distributed cloud scheduling, and energy-efficient computing. His work integrates computer vision techniques for agricultural monitoring (e.g., plant stem occlusion inpainting), low-code platforms for agri-tech development, and secure IoT data fusion methods. He actively contributes to interdisciplinary projects at the intersection of IT and life sciences.

• Permanent Magnet Machines
• Renewable Energy Systems
• Power Systems
• +۲ مورد دیگر

Ângela Ferreira is an Assistant Professor in the Department of Electrical Engineering at Polytechnic University of Bragança. She holds a PhD in Electrical and Computer Engineering from the University of Porto and has been with the institution since 1997. Her teaching covers electrical machines, power systems, and fundamental electrical sciences. Research focuses on: Design and modeling of permanent magnet machines Renewable energy conversion optimization Integration of electric vehicles into power grids Microgrid management and distributed generation Her publication record includes computational modeling of energy systems, optimization techniques for grid management, and sustainability assessments of transport electrification. Recent projects explore simulation tools for engineering education and smart grid parameter estimation. She actively contributes to European research collaborations.

• Next Generation PONs
• 5G RANs
• Optical/Wireless Convergence
• +۵ مورد دیگر

Pandelis Kourtessis is an Associate Professor at the Department of Engineering and Technology, University of Hertfordshire, affiliated with the Centre for AI and Robotics Research and the Centre for Future Societies. His primary focus is on Cognitive Networks, with research interests spanning Next Generation PONs, MAC Protocols, 5G RANs, Optical/Wireless Convergence, and SDN Cellular/Satellite IP Networks. He holds teaching specialisms in Mobile & Digital Communication Networks, Telecommunication Systems, and Optical Communication Systems. Dr. Kourtessis has led or collaborated on 32 research projects since 2004, including initiatives in Extended Reality healthcare training, AI-driven healthcare scenario modeling, and microgrid management in Ukraine. His work integrates cutting-edge technologies like Reconfigurable Intelligent Surfaces (RIS), STAR-RIS, and Terahertz communications with applications in autonomous transportation and pandemic response. His research output (112 publications) emphasizes innovative solutions for next-generation networks, including channel estimation in intelligent metasurfaces, full-duplex mMIMO systems, and hybrid federated learning architectures. He actively collaborates with global institutions and industry partners, contributing to IEEE standards and the Optical Society of America (OSA). Key technical contributions include pioneering work on stacked intelligent metasurfaces, STAR-RIS aided MIMO systems, and AI-driven healthcare monitoring. Current projects focus on optimizing 5G/6G architectures, sustainable network design, and cross-disciplinary applications of cognitive networks in societal systems.

Ziyou Songمشاهده پروفایل

استادیار

• Energy Storage Systems
• Battery Management
• Renewable Energy Integration
• +۷ مورد دیگر

Ziyou Song is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor. He holds a PhD in Automotive Engineering from Tsinghua University (2016) and a BS from Tsinghua University (2011). Previously, he was an Assistant Professor at the National University of Singapore and worked as a battery algorithm engineer at Apple. His research focuses on energy storage systems (batteries, supercapacitors, flywheels) for electrified vehicles and renewable energy. Key areas include battery management systems, physics-informed machine learning, state estimation, and grid integration of EVs. He leads a lab exploring interdisciplinary solutions to bridge automotive, transportation, and power systems. Research Interests: Battery modeling/optimization, renewable energy integration, control systems, and sustainable transportation. Recent Articles: Focus on battery health monitoring, EV charging optimization, mixed traffic control, and hybrid energy storage systems. Highlights include physics-data hybrid modeling, adaptive cruise control, and large-scale EV fleet management. Honors include Springer Nature's Editorial Contribution Award (2025), IEEE VPPC Best Student Paper (2013), and Tsinghua's Special Prize Scholarship (2015). He serves as an Associate Editor for IEEE Transactions on Transportation Electrification and Applied Energy. Teaching: Courses include Advanced Energy Storage (EECS 598) at U-M and Optimization Techniques for Dynamic Systems (ME5414) at NUS. Student evaluations consistently exceed 4.5/5. Labs/Teams: Active in battery recycling simulation (ABatRe-Sim), eco-driving strategies, and grid-interactive EV systems. Supervises postdocs, PhD/Master students globally, and collaborates with industry partners.

• Environmental Sciences
• Climate Change Adaptation
• Disaster Management
• +۴ مورد دیگر

Karina Vink is a prominent researcher specializing in environmental sciences, climate change adaptation, and disaster management. Her work bridges ecological systems with human vulnerability, focusing on sustainable urban development and policy integration. She has contributed to over 25 peer-reviewed publications, emphasizing topics like green infrastructure, cyclone preparedness in Bangladesh, and flood risk perception in informal settlements. Her research aligns with UN Sustainable Development Goals, particularly addressing climate action (SDG 13), sustainable cities (SDG 11), and reduced inequalities (SDG 10). Key areas include evaluating the dual challenges of climate mitigation and energy transition, as well as leveraging green infrastructure to enhance resilience against natural hazards and epidemics. Recent work highlights innovative applications such as digital twins for energy demand simulation and sponge city concepts. She actively disseminates findings through international conferences, including presentations on climate adaptation strategies in the Netherlands and Hawaiʻi. Media engagement includes features in Utoday online (Dutch), amplifying her contributions to public discourse on environmental policy.

Rafajlovski Goranمشاهده پروفایل

استاد

• Electric Drives
• Power Electronics
• Energy Efficiency
• +۴ مورد دیگر

Prof. Goran Rafajlovski is a Full Professor at the Faculty of Electrical Engineering and Information Technologies (FEIT), Ss. Cyril and Methodius University of Skopje. He holds a Ph.D. in Electrical Engineering and has extensive experience in academia, industry, and diplomacy. His roles include former General Director of Electrostopyanstvo Macedonia (1998–2001) and Ambassador of the Republic of Macedonia to Germany (2001–2005). He has been a member of IEEE-IAS since 1989 and chairs the Energy Committee at the European Commission’s DG RTD-Unit K1-Energy. Education: Diploma in Electrical Engineering (1987, Skopje), M.Sc. (1991, Zagreb), Ph.D. (1996, Skopje). Research Interests: Focuses on electric drives, power quality, renewable energy integration, and energy policy. His work addresses harmonic mitigation in power systems, transformer efficiency optimization, and sustainable energy strategies for the Western Balkans. He actively participates in international conferences and advises on EU energy security policies. Professional Contributions: Over 80 publications, including seminal works on vector-controlled drives, energy efficiency in Macedonia, and renewable energy systems. Served as DAAD Alumni Club representative and chairs the Boris Trajkovski Foundation. Additional Roles: Engaged in policy-making through roles like Energy Committee member of the European Commission and guest lecturer at institutions such as the Lower Austria State Academy. His work bridges technical innovation with geopolitical and economic challenges in energy sectors.