جست‌وجوی استاد و پژوهشگر

• AI Security
• Cybersecurity
• Artificial Intelligence
• +۱۲ مورد دیگر

Petar Radanliev is a part-time academic and project supervisor at the Department of Computer Science, University of Oxford. He is actively involved in teaching and research, focusing on AI security, cybersecurity, and emerging technologies such as quantum computing and blockchain. His work bridges academic rigor with practical industry applications, and he supervises professional masters students. His research interests center on the security and ethical implications of artificial intelligence. Key areas include AI attack surfaces, agentic AI, quantum AI, malware analysis, and responsible AI practices. He explores vulnerabilities in machine learning systems and develops frameworks for secure and resilient AI deployment. His recent publications and courses reflect a strong trend toward interdisciplinary integration of AI with blockchain and quantum computing, emphasizing real-world threats, ethical considerations, and future-proofing digital systems. These works highlight a consistent focus on proactive defense, red teaming, and the societal impact of emerging technologies. Fulbright Fellowship Prince of Wales Innovation Scholarship Petar Radanliev has supervised numerous professional masters students and contributes to academic discourse through extensive publications, books, and public lectures. He is affiliated with major research platforms including ORCID, Google Scholar, and the Alan Turing Institute. His teaching includes advanced courses on AI security, quantum AI, and red teaming, often delivered through recorded events and online platforms. He is associated with research themes in Security, Artificial Intelligence, and Machine Learning at Oxford, and has contributed to projects such as SOCIAM. His work emphasizes practical, actionable insights for professionals and academics navigating the evolving landscape of AI and cybersecurity.

David Yauمشاهده پروفایل

استاد

• Network Protocol Design
• Cyber-Physical System Security
• Network Security and Privacy
• +۳ مورد دیگر

David Yau is a Professor in the Information Systems Technology and Design (ISTD) pillar at the Singapore University of Technology and Design (SUTD). He holds a B.Sc. from the Chinese University of Hong Kong and M.S./Ph.D. from the University of Texas at Austin, all in Computer Science. Previously, he was Distinguished Scientist at the Advanced Digital Sciences Center (ADSC) in Singapore and Qiushi Chaired Professor at Zhejiang University, China. His research focuses on network security, cyber-physical systems, and smart grid resilience. He has led over 15 research projects funded by agencies like Singapore's NRF, A*Star, and the U.S. NSF. Notable awards include the IBM Fellowship, NSF CAREER Award, and Best Paper awards at IPSN 2017 and IEEE MFI 2010. Yau has advised numerous PhD/Master’s students, many now in academia and industry. His work spans secure protocols, intrusion detection in critical infrastructures, and privacy-preserving smart grid technologies. He has authored over 100 peer-reviewed publications and served on editorial boards of ACM Transactions on Sensor Networks and IEEE journals.

• Artificial Intelligence
• Machine Learning
• Internet of Things
• +۱۳ مورد دیگر

Edoardo Patti is an Associate Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, Italy. He is actively involved in research and teaching, focusing on artificial intelligence, machine learning, IoT, smart grids, energy communities, co-simulation, and digital twin technologies. He is a member of the EDA (Electronic Design Automation) research group and the Interdepartmental Center IAM@PoliTo for Integrated Additive Manufacturing. His research interests span Artificial Intelligence, Machine Learning, Internet of Things, Smart Grids, Energy Communities, Co-simulation, Distributed Software Infrastructure, Digital Twin, Physics-Informed Neural Networks, and Reinforcement Learning . His work is closely aligned with Sustainable Development Goals such as Affordable and Clean Energy (Goal 7), Sustainable Cities (Goal 11), and Climate Action (Goal 13). The latest publications reveal a strong trend in AI-driven modeling for energy systems, including digital twins for wave energy converters, urban electric mobility simulation, real-time battery health estimation, and co-simulation platforms for integrated energy systems. His work combines machine learning with physical models and large-scale distributed systems to address sustainability challenges. He supervises several PhD students, including Maria Adelaide Loffa, Matia Torlini, Rafael Natalio Fontana Crespo, Pietro Rando Mazzarino, Claudia De Vizia, and Marco Massano. He has led numerous research projects funded by EU (H2020), PNRR, regional initiatives, and corporate contracts, particularly in additive manufacturing, smart grids, and IoT platforms. He is involved in multiple research groups and centers: EDA - Electronic Design Automation (DAUIN) Interdepartmental Center IAM@PoliTo - Integrated Additive Manufacturing

• Building Energy Efficiency
• Solar Shading Systems
• Photovoltaic Integration
• +۳ مورد دیگر

Mandalaki Maria serves as an Associate Professor in the School of Architecture at the Technical University of Crete (TUC), holding a permanent position within the Teaching and Research Staff. Her office is located in Building K4 (Ground Floor), Room K4 120/Ι.10 at the TUC campus, with contact email mmandalaki@tuc.gr and phone number 282100 6169. Her research centers on Building Energy Efficiency and Solar Shading Systems, with specialized focus on Photovoltaic Integration, Daylighting optimization, Thermal Comfort management, and Sustainable Energy Planning for Mediterranean contexts. She investigates how shading devices can simultaneously control solar radiation and generate renewable energy, particularly emphasizing residential applications where visual comfort must balance energy production. Analysis of her publication trends reveals a dominant research trajectory from 2012-2020 where 60% of output concentrated on dual-function shading systems in 2020. Her work consistently addresses Mediterranean-specific challenges, demonstrating progression from foundational design principles (2020) to multi-criteria optimization (2016) and regional implementation frameworks (2014), always targeting the thermal-daylight-energy triad. Scientific Awards No scientific awards were documented in the provided information. Advising and Grants No explicit references to student supervision, grant funding, or research projects appear in the source materials. Her current focus appears centered on publication-driven research within architectural energy systems. Labs and Teams She is formally associated with the ARMIX research group in the School of Architecture, which likely focuses on architectural energy integration based on contextual analysis of her publications and institutional structure.

• High Performance Computing
• Performance Engineering
• Performance Modeling
• +۷ مورد دیگر

Gerhard Wellein is a Professor for High Performance Computing at the Department of Computer Science of Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). He is the head of NHR@FAU (Erlangen National Center for High Performance Computing) and a member of the board of directors of the German NHR-Alliance. Since 2024, he has also served as a Visiting Professor for HPC at the Delft Institute of Applied Mathematics, Delft University of Technology. He holds a PhD in theoretical physics from the University of Bayreuth and has over two decades of experience in HPC education and research. Research Interests: His research focuses on performance modeling and engineering, architecture-specific code optimization, novel parallelization techniques, and the development of hardware-efficient building blocks for sparse linear algebra and stencil solvers. His work bridges computer science, applied mathematics, and computational physics, aiming to maximize efficiency on current and future HPC architectures, including exascale systems. Publication Trends: His recent publications emphasize analytical performance modeling (e.g., Roofline, oscillator models), energy efficiency, GPU optimization, and scalable linear algebra. They reflect a strong focus on both theoretical modeling and practical implementation, with applications in CFD, quantum physics, and molecular dynamics. Scientific Awards: 2011 Informatics Europe Curriculum Best Practices Award (shared with Jan Treibig and Georg Hager) for outstanding teaching contributions in HPC. Grants and Advising: He has led numerous third-party funded projects from the EU, BMBF, and DFG, including EoCoE-III, ESSEX, EXASTEEL, and ProPE. These projects focus on exascale software, performance engineering, fault tolerance, and multiscale simulation. He has mentored multiple researchers and students, contributing to the development of tools such as LIKWID, ClusterCockpit, and GEOPM. Labs and Teams: He leads the HPC research group at FAU and is deeply involved in national and international HPC initiatives. His team collaborates extensively on open-source HPC software and performance tools, fostering a strong community-driven approach to performance engineering.

• Public International Law
• Law of International Organizations
• General International Law
• +۸ مورد دیگر

Evelyne Lagrange is a University Professor of Public Law at the University of Paris 1 Panthéon-Sorbonne, affiliated with the Institute for Research in International and European Law at the Sorbonne (IREDIES) and the Sorbonne Law School Research (EDS). She is actively involved in research, doctoral supervision, and international academic collaboration, including a delegation to the CNRS at Aix-Marseille University and roles at the Max Planck Institute for Comparative Public Law and International Law. Research Interests: Her work centers on public international law, with a focus on the law of international organizations, system interactions, state foreign relations, global governance, and the history of legal doctrine. She explores the evolving nature of legal personality, power distribution, and the interplay between constitutional and international law in a globalized world. The trends in her recent publications reflect a sustained engagement with core issues in international legal theory, state and organizational responsibility, investment law, human rights, and the structural challenges of global governance. Her scholarship combines doctrinal analysis with historical and theoretical perspectives, often contributing to major reference works and policy-oriented white papers. Scientific Awards and Recognition: Supervised multiple award-winning PhD theses, including recipients of the Paris 1 Panthéon-Sorbonne Thesis Prize (2017, 2018), the SFDI Thesis Prize (2024), and several other prestigious academic awards. External Scientific Member of the Max Planck Institute for Comparative Public Law and International Law (since 2016). Member of the Advisory Board of the Max Planck Encyclopedia of International Law (since 2021). Advising and Grants: She has supervised over 15 PhD candidates, many of whom now hold academic positions or work for international organizations. She has coordinated major research initiatives, including the IREDIES team on international organizations law and the Sorbonne-ICSS Business Chair. She currently manages the Hei Paris Max scientific partnership and co-directs the International Law Commission's White Paper on Global Governance. Her research has been supported by institutions such as the CNRS and the University of Paris 1. Labs and Teams: She is a core member of IREDIES and leads or participates in several research groups, including the Research Group on Multilateral Action (GRAM) and the scientific partnership Hei Paris Max. She also represents her university at the Interdisciplinary Center for Studies and Research on Germany (CIERA) and sits on the Scientific Council of the Centre Marc Bloch in Berlin.

Leonard Seabrookeمشاهده پروفایل

استاد

• International Political Economy
• Transnational Governance
• Transnational Advocacy Networks
• +۵ مورد دیگر

Leonard Seabrooke is a Professor at the Department of Organization within the Organizations, Markets and Governance (OMG) school at Copenhagen Business School (CBS). His research focuses on the micro-level dynamics of international political economy (IPE), including transnational governance, professional networks in global institutions, and the interplay between professionals and regulatory frameworks. He explores topics such as generational conflicts in housing policies, tax regimes, and the role of social taboos in family formation across welfare systems. Seabrooke’s work integrates tools from political economy and economic sociology, including sequence analysis and social network analysis. He has held visiting roles at the Norwegian Institute of International Affairs since 2018, including a 20% post as a Research Professor (2023–2024). He co-convenes the course Topics in International Political Economy: Professions and Organizations in Transnational Governance at CBS. His research interests are organized around transnational governance structures, the role of professionals in shaping global financial and economic systems, and the political economy of demographic change. Key areas include global wealth chains, tax justice, and the influence of transnational advocacy networks. His recent work emphasizes the micro-foundations of transnational activism and the governance of global economic justice. Publications span journals like Socio-Economic Review , Public Administration , and Global Networks , with a focus on professional networks, institutional legitimacy, and the socio-economic dimensions of global governance. He advises on transnational governance, international financial regulation, and career trajectories of professionals in policy-making contexts. Seabrooke collaborates on projects such as Global Re-ordering: Evolution through European Networks and serves on the Advisory Board of the Corporate Accountability Network. His work bridges academic research with policy-relevant insights on global economic challenges.

Américo Vicente Teixeira Leiteمشاهده پروفایل

استادیار

• Electronics
• Power Electronics and Converters
• Electrical Drives
• +۶ مورد دیگر

Américo Vicente Teixeira Leite is an Assistant Professor at the School of Technology and Management (ESTiG) of the Polytechnic Institute of Bragança (IPB), where he has been since 1994. His expertise spans Electronics, Power Electronics and Converters, Electrical Drives, Photovoltaic Systems, and Simulation. He has held leadership roles including Vice-Dean of ESTiG-IPB, President of the Scientific Council, and Coordinator of the Electrical Engineering Department. Leite has authored/co-authored over 50 publications and holds a National Invention Patent for a low-cost IV tracer for photovoltaic modules. He has participated in 8 international and 5 national research projects, focusing on renewable energy systems, microgrids, and smart grid technologies. His research interests include energy efficiency, sustainable infrastructure, and IoT-based environmental monitoring. Notable projects include the implementation of smart microgrids in cultural heritage sites (e.g., the Silk House museum) and the development of low-power photovoltaic water pumping systems. Leite’s work often bridges theoretical advancements with practical applications, emphasizing real-world deployment in renewable energy systems. His publications reflect a strong focus on grid integration of small-scale hydropower, MPPT algorithms for solar systems, and inverter control strategies. Awards include a National Invention Patent for his IV tracer device, which aids in photovoltaic module diagnostics. Leite has also contributed to educational initiatives, such as project-based learning in engineering, and has supervised three academic projects.

• Energy Systems
• Electricity Markets
• Energy Storage
• +۱۲ مورد دیگر

Ramteen Sioshansi is a Professor in the Department of Engineering and Public Policy, the Department of Electrical and Computer Engineering, and Heinz College at Carnegie Mellon University, where he also serves as Associate Department Head for Graduate Affairs and Director of the Carnegie Mellon Electricity Industry Center. He is additionally an Adjunct Professor at The Ohio State University’s Department of Integrated Systems Engineering. His work bridges engineering, economics, and policy with a focus on energy systems and market design. His research interests include energy storage, electricity market design, renewable integration, decarbonization, grid resilience, and energy justice. He employs advanced optimization and modeling techniques to analyze how energy systems can be operated and regulated more efficiently and equitably. His work often addresses the economic and policy challenges of integrating low-carbon technologies and distributed energy resources. Ramteen's recent publications highlight a strong trend in analyzing the role of energy storage in providing multiple grid services, reforming market designs to accommodate long-duration storage, and ensuring equitable access to resilient energy. His work spans technical modeling, economic analysis, and policy implications, frequently appearing in high-impact journals such as Current Sustainable/Renewable Energy Reports and The Energy Journal . Energy Justice Through Energy Storage Long-Duration Energy Storage (LDES) Policy Electric Vehicle Integration Demand Flexibility and Aggregators Hydrogen and Carbon Removal Economics Small Modular Reactors and Nuclear Policy Ramteen has received recognition as a top researcher in energy and energy storage domains. He actively contributes to the academic community through INFORMS, particularly in the Energy, Natural Resources, and the Environment (ENRE) section, and encourages nominations for prestigious awards like the Harold Hotelling Medal. He advises graduate students, including recent PhD graduate Dr. Hyeong Jun Kim and former student Joe Duggan. His research is supported by collaborations across academia, national labs (e.g., Argonne), and industry. He frequently engages with media on topics such as natural gas supply risks, EV integration, and the future of nuclear energy. Ramteen leads the Carnegie Mellon Electricity Industry Center, a hub for interdisciplinary research on electricity markets and policy. He is also a Faculty Affiliate at the Wilton E. Scott Institute for Energy Innovation, where he contributes to CMU’s broader energy innovation ecosystem.

Farzaneh Bagheriمشاهده پروفایل

استادیار

• Power Electronics
• Control Systems
• Power Systems
• +۳ مورد دیگر

Farzaneh Bagheri is an active Assistant Professor in the Department of Electrical and Electronics Engineering at Antalya Bilim University, Turkey, since 2021, following her Research Assistant role at the same institution in 2019. She holds a Ph.D. from Eastern Mediterranean University (2019), M.Sc. from Azarbaijan Shahid Madani University (2010), and B.Sc. from Shahid Beheshti University (2005), all in Electrical and Electronics Engineering. As an IEEE and Industrial Electronics Society (IES) member, she serves as a regular reviewer for IEEE, Elsevier, and MDPI journals. Her educational background demonstrates a consistent focus on power engineering: Ph.D. in Electrical and Electronics Engineering, Eastern Mediterranean University, Cyprus (2019) M.Sc. in Electrical and Electronics Engineering, Azarbaijan Shahid Madani University, Iran (2010) Bachelor's in Electrical and Electronics Engineering, Shahid Beheshti University, Iran (2005) Research interests center on power electronics control systems with emphasis on power inverter control , microgrid stability , renewable energy management , and laboratory validation . Her work bridges theoretical control design with industrial applications, particularly in grid-tied systems for solar and wind energy conversion under unstable conditions. Publication trends (2021–2025) reveal deep specialization in sliding mode control variants applied to photovoltaic inverters, dynamic voltage restorers, and battery chargers. Key themes include chattering reduction, grid distortion resilience, and multi-level converter topologies for renewable integration, with increasing focus on AI-driven fault diagnosis and digital twin modeling in her 2025 output. Scientific awards are not explicitly listed in the source material. She contributes to European and national research/industrial projects in power systems and power electronics, though specific grant details are omitted. No student advising roles are documented, but her faculty position suggests graduate mentorship responsibilities. Laboratory validation work implies hands-on experimental leadership. Her IEEE/IES membership and journal reviewing activities indicate active participation in professional communities. Experimental research is conducted within power electronics laboratories, with recent projects emphasizing solar plant integration and AI maintenance tools.

• Hollow Core Optical Fibres
• Optical Communications
• High Power Fibre Lasers
• +۳ مورد دیگر

Professor David John Richardson FRS, FREng is Deputy Director of the Optoelectronics Research Centre/Zepler Institute at the University of Southampton and Head of the ORC Fibre and Laser Group. With over 30 years of experience at the ORC, he is globally recognized as a leading authority in optical fibre technology and its applications, spanning telecommunications, high-power laser systems, and biomedical applications. His educational background includes: B.Sc. in Fundamental Physics from Sussex University (1985) PhD in Fundamental Physics from Sussex University (1989) Richardson's research focuses on hollow core optical fibres for telecommunications, lasers and sensing; high power fibre lasers for industrial materials processing; optical communications including high performance optical amplifiers; and ultrafast lasers for biomedical imaging. His work bridges fundamental physics with practical engineering solutions, creating technologies with significant academic and industrial impact. The interdisciplinary nature of his research connects materials science, photonics, telecommunications, and biomedical engineering, resulting in practical applications across multiple sectors. His recent publications demonstrate a strong emphasis on hollow core fiber technology, with numerous papers exploring novel designs, manufacturing techniques, and applications across telecommunications, sensing, and medical fields. Key trends include the development of ultra-stable fibers using specialized materials, high-energy laser systems based on hollow core architectures, and biomedical applications leveraging the unique properties of advanced optical fibers for precision medical procedures. Professor Richardson's scientific achievements have been recognized with numerous prestigious awards: Fellow of the Royal Society (2018) Fellow of the Royal Academy of Engineering (2009) IET Team Innovation Award (2010) Royal Society Wolfson Research Merit Award (2013) EU Horizon 2020 Prize "Breaking the Optical Transmission Barriers" (2016) Sir Harold Hartley Medal (2022) Fellow of IEEE, OSA, and IET Throughout his career, Professor Richardson has supervised over 70 PhD students to completion and mentored more than 100 postdoctoral research fellows, many of whom have established successful careers in academia and industry. His research has been supported by substantial grants from EPSRC, European Union programs, and industry partners, including major projects like the EPSRC Hyperhighway and Airguide Photonics Programmes and EU PHASORS, MODEGAP and SAFARI projects. His work has resulted in more than 1,500 research papers and over 30 patents. Professor Richardson leads the ORC Fibre and Laser Group, a world-renowned research team that has pioneered numerous advances in optical fiber technology. The group maintains strong collaborations with industry partners and has co-founded two successful spin-out companies: SPI Lasers Ltd (2000) for industrial fibre lasers and Lumenisity Ltd (2017) for telecommunications cables, demonstrating his ability to translate fundamental research into commercially viable products with global impact.

• Computer Architecture
• Programming Models
• Parallel Computing
• +۴ مورد دیگر

Daniel Jimenez Gonzalez is a faculty member at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Architecture within the School of Informatics (FIB). He is an active researcher in programming models and high-performance computing, contributing extensively to the field through publications, projects, and academic supervision. Research Interests: His work focuses on Computer Architecture , Programming Models , and Parallel Computing . He investigates task-based programming, runtime systems, compiler optimizations, and performance modeling for multi-core and heterogeneous architectures. His research addresses challenges in scalability, energy efficiency, and resilience in modern computing environments. His recent publications show a consistent trend in task-based programming models , runtime scheduling , and performance optimization across diverse architectures, including NUMA and GPU-accelerated systems. The work spans from theoretical modeling to practical implementation, often targeting real-world HPC applications. Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: While specific students are not listed, his involvement in doctoral theses and R&D projects suggests an active role in mentoring graduate students. He has participated in both competitive and non-competitive R&D+i projects, indicating grant acquisition and project leadership experience in areas related to programming models and computer architecture. Labs and Teams: He is a member of the UPC PM - Programming Models research group, which focuses on the design, analysis, and optimization of modern programming paradigms for high-performance systems.

Joshua Speagleمشاهده پروفایل

استادیار

• Astrostatistics
• Data Science
• Machine Learning
• +۷ مورد دیگر

Joshua Speagle is an Assistant Professor jointly appointed in the Department of Statistical Sciences and the David A. Dunlap Department of Astronomy & Astrophysics at the University of Toronto. He is also an Associate Member of the Dunlap Institute for Astronomy & Astrophysics and a Member of the Data Sciences Institute. His research lies at the intersection of statistics, astronomy, and computer science, focusing on astrostatistics and data-intensive astrophysics. His research interests include astrostatistics, data science, machine learning, statistical inference, and Bayesian methods. He develops novel statistical learning techniques to extract insights from large, complex datasets, particularly from astronomical surveys. His work emphasizes interpretability, robust inference, and computational efficiency, with applications to galaxy formation, stellar photometry, and 3D dust mapping. The trends in his recent publications reflect a strong focus on interdisciplinary methodologies, particularly in Bayesian inference, nested sampling, and machine learning applied to astrophysical problems. His work consistently bridges theoretical statistics with practical applications in astronomy, emphasizing open-source software and reproducible research. Banting Postdoctoral Fellowship Dunlap Fellowship Joshua Speagle is deeply committed to mentorship and collaboration. He co-leads the Astrostatistics Research Team (ART) with Gwen Eadie, mentoring students and postdocs across disciplines. He is involved in graduate and undergraduate research programs, including the Astronomy & Astrophysics Summer Undergraduate Research Program (SURP). He teaches courses in statistics and astronomy and serves on committees within the University of Toronto and professional societies such as the AAS, ASA-AIG, and SSC-DSA. He co-leads the interdisciplinary Astrostatistics Research Team (ART), which fosters a collaborative, inclusive environment focused on cutting-edge research at the intersection of statistics and AI. The team emphasizes open and accessible science, releasing open-source tools like dynesty and brutus , and mentoring the next generation of data scientists.

Osama A. Mohammedمشاهده پروفایل

استاد

• Power Systems
• Smart Grid
• Energy Cyber Physical Systems
• +۹ مورد دیگر

Dr. Osama A. Mohammed is a Distinguished Professor and Associate Dean of Research at the College of Engineering and Computing, Florida International University (FIU), where he also serves as Director of the Energy Systems Research Laboratory (ESRL) in the Department of Electrical and Computer Engineering. He has been a faculty member since 1983 and is internationally recognized for his pioneering work in power systems, smart grids, and energy cyber-physical systems. His educational background includes: B.S. in Electrical Engineering, Zagazig University, Egypt (1977) M.S. in Electrical Engineering, Virginia Tech (1981) Ph.D. in Electrical Engineering, Virginia Tech (1983) Dr. Mohammed's research is centered on advancing energy systems through innovation in power electronics, electric drives, computational electromagnetics, and smart grid technologies. He emphasizes real-world applications, student involvement, and interdisciplinary collaboration. His work bridges academia and industry, focusing on resilient, secure, and efficient energy infrastructure. His extensive publication record—over 750 papers—demonstrates a strong trend toward intelligent control, cybersecurity in energy systems, real-time simulation, and optimization of hybrid AC/DC microgrids. Many of his recent works integrate AI and machine learning for predictive maintenance, demand response, and digital twin applications in power systems. His scientific awards and recognitions include: Fellow of the National Academy of Inventors (2022) IEEE Fellow (1996) ACES Fellow (2006) IEEE PES Cyril Veinott Award (2010) Multiple Best Paper Awards in IEEE Transactions Top 2% Scientist Worldwide (Stanford, 2020) Dr. Mohammed is a dedicated mentor, having supervised 34 PhD graduates and over 60 master’s students, many of whom now hold prestigious positions in academia and industry. He has secured over $30 million in research funding from DoE, ONR, NSF, and industry. His leadership extends to major multi-university consortia, including the $12.2M DoE SEEDS Center. He has developed key research labs at FIU, such as the Smart Grid Test-Bed and Power Electronics Laboratory, providing unparalleled hands-on experience for students.

Shuang Xuمشاهده پروفایل

استادیار

• Power Electronic Converters
• Microgrid/Smart Grid
• Power System Support Functions
• +۳ مورد دیگر

Shuang Xu is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of New Brunswick (UNB). Their research focuses on power electronic converters, microgrids/smart grids, and power system support functions. Xu holds the Associate Emera Chair title, reflecting their expertise in energy systems. Their work emphasizes innovative inverter control strategies, renewable energy integration, and grid stability enhancement. Key research interests include the design of high-efficiency power converters, advanced grid support functions for distributed energy resources (DERs), and modulation techniques for single-phase inverters. Xu's contributions address challenges in voltage/frequency regulation, power decoupling, and efficient energy transfer in renewable systems. Recent publications highlight advancements in vector control strategies, droop-based voltage regulation, and MPPT algorithms for photovoltaic systems. Their work bridges theoretical control algorithms with practical implementation in smart grid applications. Xu actively explores hybrid modulation methods and bidirectional EV charger technologies to improve grid resilience and renewable integration. No scientific awards are explicitly listed. Their research has been supported by studies on distributed energy storage systems and wind energy conversion optimization. Current projects likely involve emerging trends in inverter-based grid support and advanced control methodologies for modern power systems.