جست‌وجوی استاد و پژوهشگر

Jeffery Thomasمشاهده پروفایل

استاد آموزشی

• Engineering Education
• Mechanical Characterization
• Engineering Mechanics
• +۲ مورد دیگر

Dr. Jeffery Thomas serves as a Teaching Professor in the Department of Civil, Architectural and Environmental Engineering at Missouri University of Science and Technology since 2021, with concurrent appointment as Adjunct Professor in Missouri State University's Cooperative Engineering Program since 2014. His 25+ year academic career at Missouri S&T progressed from Lecturer (1996-2009) through Assistant Teaching Professor (2009-2013) to Associate Teaching Professor (2013-2021). His educational credentials include: Ph.D. in Engineering Mechanics, Missouri University of Science and Technology (2009) M.S. in Mechanical Engineering, Missouri University of Science and Technology (1996) B.S. in Mechanical Engineering, Missouri University of Science and Technology (1995) Dr. Thomas's research bridges Engineering Education innovation with applied mechanics. His work focuses on inverted classroom models and integrated learning systems for mechanics of materials, while exploring Mechanical Characterization of biological systems and structural materials. His Engineering Mechanics expertise spans biomechanics (helical force flow in tissues), structural failure analysis, and historic structure retrofitting. Publication analysis reveals consistent focus on engineering pedagogy (12 of 15 recent articles), particularly textbook development and active learning methodologies, complemented by structural engineering applications in concrete rehabilitation and historic preservation. His teaching excellence is recognized through multiple awards: Joseph H. Senne Jr. Faculty Teaching Award (2022) Dean's Educator Award (2020) Three-time Missouri S&T Faculty Achievement Award recipient Missouri State University Faculty Excellence in Teaching (2018) Dr. Thomas teaches core engineering courses including Statics, Dynamics, Mechanics of Materials, and Structural Design across multiple materials systems. His educational approach integrates artistic perspectives from music composition and performance, having recorded three albums as percussionist in a southern-rock band.

Mohsin Jamilمشاهده پروفایل

دانشیار

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

Mohsin Jamil is an Associate Professor in the Department of Electrical and Computer Engineering within the Faculty of Engineering and Applied Science at Memorial University of Newfoundland. His research specializes in power electronics, control systems, renewable energy integration, and smart grid technologies. Current projects focus on developing innovative power converters for electric vehicles, grid-forming converters for renewable integration, and AI-based control techniques for energy systems. Research spans several key areas: Advanced power electronic converters for energy storage and renewables Control strategies for community EV charging infrastructure Hybrid power systems for remote applications Neural network applications in power management Funded by NSERC, Mitacs, and university grants, his work has resulted in over 150 publications. Recognized as a Senior Member of IEEE and named to Stanford's World's Top 2% Scientists list in 2024, Jamil serves as Associate Editor for IEEE Access and other journals. Courses taught include Power Electronics, Power Systems Protection, and Grid Integration of Energy Systems. Research supervision includes 12+ graduate students working on projects in power converters, microgrid control, and renewable energy systems. Awards include the Best Teacher Award (2016) and Sidney D. Drell Academic Award (2021).

Kai Sunمشاهده پروفایل

استاد

• Power Systems
• Electrical Engineering
• Power Grid Stability
• +۵ مورد دیگر

Roles & Affiliations: Kai Sun is a Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. He is part of the Tickle College of Engineering and holds an IEEE Fellow distinction. His affiliations include NSF/DOE's CURENT Engineering Research Center and collaborations with institutions like EPRI and Arizona State University. Education: PhD in Control Science and Engineering (Tsinghua University, 2004) and B.S. in Automation (Tsinghua University, 1999). Postdoctoral studies at Arizona State University and University of Western Ontario, with visiting scholar appointments at Harvard University. Research Interests: Focuses on power grid stability, dynamics, and control of complex systems. Key areas include cascading failures, electromagnetic transient simulation, voltage stability, renewable energy integration, and semi-analytical methods. His work emphasizes real-time stability analysis, wide-area control, and high-performance computing for grid resilience. Recent Trends in Articles: Recent publications emphasize advanced simulation techniques (e.g., EMT simulation, semi-analytical methods), cascading failure analysis, and participation factor-based approaches. He explores nonlinear oscillations, inverter-based resource impacts, and hybrid EMT-Transient Stability models for grid reliability. Awards & Honors: 2024 IEEE Fellow, 2024 University of Tennessee Research Award, 2016 NSF CAREER Award, and multiple best paper awards from IEEE conferences. Recognized for contributions to power system stability and grid resilience. Advising & Grants: Advised 11 PhD and 2 MS students, with alumni in industry and academia (e.g., National Renewable Energy Lab, Dominion Energy). Leads research funded by NSF, DOE, and industry partnerships, focusing on grid stability, simulation tools, and control strategies. Labs & Teams: Leads a research group specializing in power systems, with collaborations on open-source simulation tools (e.g., ParaEMT, RAPID). Active in IEEE PES committees and task forces on forced oscillations and grid resilience.

Filipe Miguel Faria da Silvaمشاهده پروفایل

دانشیار

• Power Systems
• Electrical Engineering
• Grid Stability
• +۳ مورد دیگر

Filipe Miguel Faria da Silva is an Associate Professor at Aalborg University's Department of Electric Power Systems and Microgrids. His research focuses on power systems, grid stability, renewable energy integration, and high-voltage engineering. He has led or participated in 18 projects, including the 'HVDC GREEN' initiative for interconnecting Indonesian islands via HVDC grids and the 'Development of Stability Screening Methodology' for inverter-based resources. He has authored over 250 publications and holds six scientific awards, including the IEEE OAJPE Trending Topic Paper and CIGRE Pioneer Award. His work emphasizes practical solutions for renewable energy transition and grid resilience. Research interests include transient analysis, harmonic resonance mitigation, and digital twin applications for power systems. He has collaborated with institutions like Energinet and Danida Fellowship Centre, addressing challenges in power transmission and distributed energy systems. Silva has also been recognized for teaching excellence, winning multiple Lecturer of the Year awards. His contributions span academic publications, conference activities, and media engagements discussing energy policy and grid modernization. Key projects include the 'Combined Green Pipe-Cable' concept for energy and gas co-transmission, and the evaluation of temporary overvoltages in power systems due to harmonic resonances. Silva actively participates in international conferences and serves on technical committees for renewable energy and power systems transients.

• Distributed Energy Resources
• Smart Power Systems
• Systems Modeling and Control
• +۴ مورد دیگر

Dr. Ali Elrayyah is an Assistant Professor in the Department of Electrical and Computer Engineering at The University of Akron, USA. He holds a Ph.D. in Electrical Engineering (2013) from the same university, an M.Sc. in Systems Engineering from King Fahd University of Petroleum and Minerals (2009), and a B.Sc. in Electrical Engineering from the University of Khartoum (2003). His academic roles include teaching courses such as Dynamics & Controls of Power Electric Circuits. Dr. Elrayyah specializes in distributed energy resources, smart power systems, and systems modeling/control. His research focuses on microgrid design, renewable energy integration, and power electronics. He has contributed to projects such as a 100kW microgrid at The University of Akron and a PV-based microgrid for agricultural applications in Qatar. His work experience includes roles as a Principal Engineer at NEOM (2021–present), Scientist at Qatar Environment and Energy Research Institute (2014–2021), and Research Assistant at The University of Akron (2010–2014). He has also held teaching roles at King Fahd University and the International University of Africa. Dr. Elrayyah’s awards include recognition for outstanding graduate research (2013) and best performer in energy management (2018). He has authored over 60 peer-reviewed publications and holds multiple patents in power systems and renewable energy. His research interests span microgrid control strategies, grid stability, and energy harvesting innovations. Current projects at NEOM involve developing 100% renewable-based power grids and district energy systems.

• Power Electronics
• Power System Stability
• Renewable Energy Integration
• +۳ مورد دیگر

Yunjie Gu is a Lecturer in the Department of Electrical and Electronic Engineering at Imperial College London, affiliated with the Control and Power Research Group. Previously, he served as an EPSRC Innovation Fellow (2018–2020) and worked at GE Global Research in Shanghai, leading projects on renewable energy grid integration. His research focuses on power-electronic-based power systems, including grid stability, impedance modeling, numerical computation methods, and real-time digital twin systems. Key contributions include spinouts like Hoymiles (listed in Shanghai Stock Exchange) and open-source projects such as RT-Thread and Simplus Grid-Tool. His research interests span power electronics, renewable energy systems, computational methods for power system analysis, and real-time computing. He actively explores stability analysis of inverter-based grids, transient stability of grid-following inverters, and data/model-driven system identification. Gu holds seven patents (six Chinese, one US/EU) and mentors PhD students in related disciplines. He advocates for hybrid approaches combining traditional power system analysis with modern computational techniques. Gu's work integrates academic research with industry applications, emphasizing practical solutions for emerging challenges in decarbonized grids. His recent projects include real-time digital twin systems for grid simulation and FPGA-based hardware-in-the-loop testing. He collaborates widely, contributing to both foundational theory and commercial innovations in energy systems.

• Energy Systems Integration
• Power Systems
• Renewable Energy Integration
• +۵ مورد دیگر

Mark O’Malley is the Leverhulme Professor of Power Systems at Imperial College London, affiliated with the Department of Electrical and Electronic Engineering within the Faculty of Engineering. He co-founded the Global Power System Transformation Consortium and serves as a Global Director of the Electric Power Innovation for a Carbon-Free Society Centre. His roles include Chief Scientist positions at the Energy Systems Integration Group (2020–2022) and the US National Renewable Energy Laboratory (2018–2020). He has held visiting professorships, including at McGill University (2017). His research focuses on Energy Systems Integration, grid integration of renewable energy, and addressing interdisciplinary challenges in transitioning energy systems. Collaborations span economics, social sciences, mathematics, and geology. He is a Foreign Member of the US National Academy of Engineering, a Royal Irish Academy member, and holds IEEE Fellow status. Key research interests include renewable energy integration, grid stability with inverter-based resources, and resilience against climate risks. His work emphasizes multi-stakeholder analysis and policy frameworks for sustainable energy systems. Notable contributions include studies on system services from renewable resources, demand response mechanisms, and flexibility in hybrid energy systems. Awards include two Fulbright Fellowships and recognition from the Chinese Society for Electrical Engineering. His publications span over two decades, addressing topics like wind integration, energy market design, and cyber-physical grid resilience.

• Synthetic Biology
• Molecular Biology
• Biotechnology
• +۵ مورد دیگر

Prof. Geoff Baldwin is a Professor of Synthetic and Molecular Biology at Imperial College London's Faculty of Natural Sciences, Department of Life Sciences. He serves as Co-Director of the Imperial College Centre for Synthetic Biology and Director of the EPSRC Centre for Doctoral Training in BioDesign Engineering. His research focuses on developing synthetic biology tools for engineering biological systems, with notable contributions including the BASIC DNA assembly method and AI-driven metabolic network modeling. Key affiliations include the Centre for Structural Biology, Institute of Chemical Biology, and UKRI Artificial Intelligence for Engineering Biology Consortium. His work integrates computational methods with experimental biology to address challenges in genetic circuit design, RNA feedback control, and in vivo directed evolution. Recent research trends emphasize AI-integrated synthetic biology workflows, standardized fluorescence assays, and modular electrogenetic systems. He has pioneered automated bio-design tools like Galaxy-SynBioCAD and contributed to CRISPR-based drug discovery platforms. His lab actively engages in cross-disciplinary projects bridging physical sciences and biotechnology. No scientific awards explicitly listed. Grants and advising details not specified in provided texts. Laboratory activities focus on foundational biosystem engineering with applications in bioenergy, biomanufacturing, and healthcare.

• Power Electronics
• Electrical Machines and Drives
• Grid Stability
• +۳ مورد دیگر

Fabio Mandrile is a Fixed-term Tenured Assistant Professor at the Department of Energy (DENERG) of the Polytechnic University of Turin. He is part of the Interdepartmental Center PEIC - Power Electronics Innovation Center. His research focuses on power electronics converters, electrical machines and drives, with emphasis on grid stability, e-mobility, and wide bandgap semiconductor applications. He teaches courses in power electronics for grid applications, e-mobility, and automotive engineering at the MSc and PhD levels. PhD Supervision: 5 current students researching topics like GaN-based power electronics for BEV/FCEV, modular multilevel shipboard storage systems, and virtual synchronous generators. Research Projects: Leads studies on ultra-fast bidirectional chargers, WBG inverter optimization, and grid-tied inverter control strategies. His work addresses challenges in energy systems integration, including grid support services, fault ride-through strategies, and high-power inverter design. Key contributions include innovative control algorithms for virtual synchronous machines and modular torque control of multiphase motors. Patents include methods for brake actuator control in electro-actuated systems, real-time grid impedance estimation, and integrated electric vehicle chargers. His publications span over 50 peer-reviewed articles and conference papers, with recent focus on GaN-based inverters, grid-forming inverters, and e-mobility applications.

Xin Chenمشاهده پروفایل

استادیار

• Power and Energy Systems
• Optimization Algorithms
• Control Systems
• +۴ مورد دیگر

Dr. Xin Chen is an Assistant Professor in the Department of Electrical and Computer Engineering at Texas A&M University, leading the SPEED Lab. His research focuses on scalable learning-assisted control, distributed algorithms, and human-cyber-physical systems, particularly in advancing grid decarbonization and sustainable power systems. He holds a Ph.D. from Harvard University and postdoctoral experience at MIT. Dr. Chen received notable awards including the IEEE PES Outstanding Doctoral Dissertation Award and multiple best paper awards. His work integrates control theory, optimization, and machine learning to address challenges in power grid reliability and sustainability. Key contributions include model-free optimization frameworks, carbon-aware power flow models, and distributed inverter coordination. Recent research highlights include developing regression-based zeroth-order optimization algorithms and carbon-aware demand response mechanisms. He has secured grants from the U.S. Department of Energy and NSF, addressing grid resilience and climate impacts. His lab collaborates on projects such as the Grid Resilience and Climate Change Impacts Analysis (GRACI) initiative.

• Renewable Integration
• Power System Stability
• Smart Grid
• +۳ مورد دیگر

Associate Professor Yateendra Mishra specializes in renewable energy systems and smart grid technologies at Queensland University of Technology's School of Electrical Engineering & Robotics. He holds a PhD in Electrical Engineering (Power Systems) from the University of Queensland and has industry experience as a Transmission Planning Engineer at Midcontinent Independent System Operator (ISO). His research integrates renewable power systems modeling, distributed energy resources, and electricity markets. Recent projects include: Mitigating cyberattack risks in cyber-physical power systems Control systems for high-value distributed electrical storage Awards include the Advanced Queensland Fellowship (2016-2019) for enabling higher renewable penetration through smart inverter technologies. He mentors graduate students in power engineering and coordinates capstone projects. Current research explores grid stability under high renewable penetration and peer-to-peer energy trading frameworks.

Yong Liمشاهده پروفایل

پژوهشگر ارشد

• Power Systems Engineering
• Battery Technology
• Stability Analysis
• +۵ مورد دیگر

Yong Li is a Research Fellow at Aalborg University's Department of Chemistry and Bioscience within the Faculty of Engineering and Science, Denmark. Funded by a prestigious Marie Curie Postdoctoral Fellowship, he conducts interdisciplinary research bridging power systems engineering and advanced battery materials. His primary research focuses on stability analysis of grid-connected virtual synchronous generators and multiscale modeling of glassy electrolytes for solid-state batteries. Specific interests include oscillation propagation mechanisms, frequency-voltage coupling effects, and computational modeling of electrolyte interfaces. This work addresses critical challenges in renewable energy integration and next-generation battery technology. Recent publications demonstrate expertise in power electronics control systems and stability modeling, with significant contributions to IEEE Transactions on Power Electronics and Industrial Informatics. His research shows strong alignment between theoretical modeling and practical power system applications. Scientific recognition includes: Marie Curie Postdoctoral Fellowship Dr. Li actively contributes to Horizon Europe project "MultiBat: Multiscale Modeling of Glassy Electrolytes for Solid-State Batteries" (2025-2027), developing computational frameworks for solid electrolyte optimization. His collaborative work spans electrical engineering and materials science domains, with multiple high-impact publications demonstrating research productivity.

• Cyber-security
• Internet of Things
• Machine Learning
• +۳ مورد دیگر

Professor Amir Hussain is a faculty member at Edinburgh Napier University's School of Computing Engineering and the Built Environment. His expertise spans Cyber-security, Internet of Things (IoT), Machine Learning, and Medical Informatics. He is associated with the Centre for Cybersecurity, IoT and Cyberphysical Systems and has led projects such as a stretchable piezoionic sensor system for electromechanical sensing. His research integrates AI-driven solutions for healthcare, IoT security, and network optimization. Key projects include developing secure edge computing frameworks and post-quantum cryptographic systems. Collaborations involve interdisciplinary work on biomedical sensor networks and federated learning applications. His publications address challenges in face forgery detection, sepsis transcriptomics, and energy-efficient wireless networks. He contributes to both computational and medical domains, emphasizing privacy preservation and secure AI implementations.

Matteo Sommacalمشاهده پروفایل

مدرس ارشد

• Nonlinear Waves
• Integrable Systems
• Dynamical Systems
• +۳ مورد دیگر

Matteo Sommacal is a Senior Lecturer in Applied Mathematics at Northumbria University, where he has served as Head of Subject for Mathematics since 2012. He holds a PhD in Mathematical Physics from the International School for Advanced Studies (SISSA), Trieste, under Professor Francesco Calogero. His research focuses on nonlinear waves, integrable systems, and dynamical systems, particularly in contexts like ferromagnetic systems at nanoscale and Riemann surface-based mechanisms for complex dynamics. Education includes a M.Sc. in Physics from Università di Roma 'La Sapienza' (2002) and a PhD in Mathematical Physics (2005). Postdoctoral roles span institutions such as Université Pierre et Marie Curie (Paris), North Carolina State University, and the Institut des Hautes Études Scientifiques. Research interests include magnetic droplet solitons, stability of nonlinear waves, and applications in biomedical modeling (e.g., aortic stenosis post-COVID-19). His work bridges theoretical physics, applied mathematics, and interdisciplinary applications.

• Power Systems
• Renewable Energy
• Smart Grids
• +۵ مورد دیگر

Gilbert Joseph Bergna Diaz is an Associate Professor at the Department of Electric Energy, Norwegian University of Science and Technology (NTNU). His research focuses on advanced control strategies for power electronics in HVDC systems, microgrids, and renewable energy integration. Key areas include distributed optimization, stability analysis, and dynamic modeling of modular multilevel converters. Selected trends from his recent publications include: 2024 : Distributed reactive power sharing under voltage constraints 2023 : Nonlinear voltage containment in DC networks 2022 : Port-Hamiltonian approaches for DC microgrid control 2021 : Stability enhancements in weak AC grids with resonant controllers