جست‌وجوی استاد و پژوهشگر

• Nonlinear Dynamics
• Vibration Control
• Energy Transfer
• +۳ مورد دیگر

Alexander F Vakakis is the Donald Biggar Willett Professor of Mechanical Science and Engineering and holds a joint appointment in Aerospace Engineering at the University of Illinois' College of Engineering. His research focuses on nonlinear dynamics, vibration control, and energy transfer in mechanical systems. He has pioneered work on nonlinear energy sinks (NES) and targeted energy transfer (TET) mechanisms, with applications in aerospace, structural engineering, and acoustics. His recent studies explore phenomena like vibro-impact systems, nonlinear metamaterials, and data-driven methods for modal interaction analysis in fighter aircraft. Key research interests include nonlinear oscillators, wave localization, acoustic non-reciprocity, and the design of energy-dissipative structures. He has contributed to understanding energy redistribution in complex systems, such as subsea power cables and seismic mitigation frameworks. His work frequently bridges theory, computation, and experimental validation. Dr. Vakakis has authored over 500 publications, with recent articles addressing topics like topological interface modes in metamaterials, interband energy transfer in phononic lattices, and super-slow hysteresis dynamics. His research emphasizes leveraging strong nonlinearities to achieve novel engineering solutions. Awards: ASME Fellow (2012), Humboldt Research Award (2019) Collaborations: Active in aerospace dynamics, structural health monitoring, and metamaterial design Grants & Labs: Leads projects funded by NSF and industry partners; affiliated with Illinois' Nonlinear Systems Lab

Mehmet BÜYÜKمشاهده پروفایل

دانشیار

• Renewable Energy Systems
• Electric Vehicles
• Power Electronics Converters
• +۳ مورد دیگر

Mehmet BÜYÜK is an Associate Professor at the Department of Electrical and Electronics Engineering, Faculty of Engineering, Adıyaman University. He serves as Vice Dean of the Faculty since August 2023. He holds a PhD from Çukurova University (2019) and has been an IEEE member since 2015. Education: BSc (2007-2012), MSc (2015), PhD (2019) in Electrical and Electronics Engineering from Çukurova University. Professional roles include Research Assistant (2015-2020), Research Lecturer (2020-2022), Assistant Professor (2022-2023), and current Associate Professor status. Research focuses on renewable energy systems, electric vehicles, power electronics converters, and grid integration challenges. Notable projects include wireless power transfer systems, V2G/V2H interfaces, and smart home energy management. Publications emphasize power quality solutions, inverter topologies, and fuel cell applications. Awards include multiple TÜBİTAK incentives and a Wiley Top Cited Article recognition. Active in reviewing for top journals like Renewable and Sustainable Energy Reviews. Current activities include leading the faculty as Vice Dean, supervising student projects, and collaborating on TÜBİTAK-funded research projects addressing renewable energy challenges and emergency power systems.

Dao Zhouمشاهده پروفایل

دانشیار

• Power Electronics
• Renewable Energy Systems
• Wind Turbine Reliability
• +۴ مورد دیگر

Dao Zhou is an Associate Professor at Aalborg University's Department of Mechatronic Systems, part of The Faculty of Engineering and Science. His research focuses on power electronics reliability, wind turbine systems, and grid integration of renewable energy. He holds a PhD in Electrical Engineering from Aalborg University (2014), specializing in reliability assessment of wind turbine systems. His key research areas include power converter control strategies, semiconductor reliability, and grid-forming/grid-following inverter technologies. He has led projects such as the Physics-informed AI for Prognostics in Power Converters and the HELP laboratory platform initiative. Zhou has supervised four PhD students and authored over 198 publications, with notable awards including the IEEE ICPE 2023-ECCE Asia and MPCE 2021 Best Paper Award. Recent work emphasizes predictive maintenance via physics-informed neural networks and seamless control transitions between grid modes. His lab collaborations span Europe, focusing on improving renewable energy system reliability and educational lab infrastructure.

Yuchao Liuمشاهده پروفایل

مدرس

• Power Converters
• Model Predictive Control
• Motor Drives
• +۵ مورد دیگر

Dr. Yuchao Liu is a Lecturer in the Department of Mathematics, Physics & Electrical Engineering at Northumbria University since January 2023. Previously, she held academic roles at Harbin Engineering University (2019–2021) and the University of Nottingham (2021–2022 as a Research Fellow in the PEMC Group). She earned her Ph.D. in Electrical Engineering from Harbin Institute of Technology (2019) and was a visiting scholar at Imperial College London (2017–2018). Her research focuses on power electronics, renewable energy integration, and control systems. Key areas include power converter design, model predictive control (MPC), multi-terminal DC transmission (MTDC), and motor drives. She has contributed to EU Horizon 2020 projects like the IMOTHEP initiative. Her publications span topics such as battery state-of-health estimation, DC-DC converter optimization, and grid stability analysis. She actively seeks PhD students and has collaborated internationally on projects addressing sustainable energy challenges. Her work aligns with UN Sustainable Development Goals, particularly in enabling clean energy transitions and advancing sustainable infrastructure.

• Power System Dynamics
• Renewable Energy Integration
• Energy Storage Systems
• +۳ مورد دیگر

Hector A. Pulgar is an Associate Professor in the Department of Electrical Engineering and Computer Science (EECS) at the University of Tennessee, Knoxville. He joined UT in July 2014 after holding academic positions at the Universidad Técnica Federico Santa María in Chile from 2001 to 2014. His work focuses on power system dynamics, renewable energy integration, and energy storage systems. Pulgar holds a PhD in Electrical Engineering from the University of Illinois at Urbana-Champaign (2010) and MS/BS degrees from the Universidad de Concepción, Chile. Research highlights include NSF CAREER Award (2021) for enhancing grid robustness through discrete controls, and leadership in the NSF Engineering Research Center CURENT. He teaches courses like ECE-421 (Electric Energy Systems) and ECE-692 (Advanced Power System Modeling). Pulgar is a Senior Member of IEEE and Fulbright Fellow. Recent research trends emphasize adaptive control strategies leveraging machine learning, grid stability under renewable integration, and optimization of energy storage systems. His articles span topics like damping controller coordination, frequency response enhancement, and nonlinear grid dynamics. Grants: NSF Awards totaling $1.065M (2015-2026) Mentoring: Program for Hispanic students emphasizing reflective practice and pre-college opportunities Professional Affiliations: CURENT member, IEEE Senior Member

Andrey Bernsteinمشاهده پروفایل

مدرس

• Control and optimization of energy systems
• Data analytics for energy systems
• Adaptive decision-making in complex environments
• +۷ مورد دیگر

Andrey Bernstein is a Senior Researcher and Group Manager at the National Renewable Energy Laboratory (NREL) and a Lecturer at the University of Colorado Boulder. Since 2016 he has led NREL’s Grid Modernization research thrust on power systems engineering, focusing on decision-making, optimization and machine-learning methods for energy systems. Education: Ph.D. in Electrical Engineering, Technion – Israel Institute of Technology M.Sc. in Electrical Engineering, Technion – Israel Institute of Technology B.Sc. in Electrical Engineering, Technion – Israel Institute of Technology Research Interests: Bernstein’s work centers on the intersection of control theory, optimization, machine learning and power systems . Key themes include adaptive decision-making in complex stochastic environments, distributed optimization algorithms for real-time operation of distribution networks, market design for transactive energy systems, data-driven state estimation, and advanced inverter control strategies enabling high renewable penetration. His recent publications (2024-2025) collectively push toward decentralized, learning-based, and robust solutions for next-generation power grids. Themes span decentralized market mechanisms that respect network constraints, distributionally robust optimization for secure voltage control, dynamic pricing schemes maximizing social welfare in energy-sharing communities, and grid-forming inverter control strategies that reshape system-wide dynamic response. Scientific Awards & Honors: NREL Distinguished Member of Research Staff (2022) NREL President’s Award (2018) NREL President’s Award (2021) Affiliations & Service: Bernstein is an active member of the Institute for Operations Research and the Management Sciences (INFORMS) and the Institute of Electrical and Electronics Engineers (IEEE), participating in multiple technical committees and collaborative networks within NREL and across international institutions.

Michelle Chongمشاهده پروفایل

استادیار

• Control Theory
• Mathematical Systems Theory
• Hybrid Dynamical Systems
• +۷ مورد دیگر

Michelle Chong is an Assistant Professor at the Department of Mechanical Engineering, Eindhoven University of Technology (TU/e). Her research focuses on mathematical control theory, systems theory, and their applications to cyber-physical systems , neuroscience , robotics , and power systems . Research : Theoretical foundations of control algorithms for hybrid/nonlinear systems Applications : Neural stimulation devices, autonomous systems, energy grids Specializations : Cybersecurity, safety, privacy in networked systems Her recent work involves nonlinear obstacle avoidance for multi-body robots, data-driven power systems analysis, and event-triggered communication protocols for multi-agent systems. She has developed novel methods for secure state estimation, set-based reachability analysis, and resilient control under adversarial conditions, particularly in energy systems and cyber-physical human interactions. She is currently on sabbatical at University of California San Diego (2023-2025) and collaborates with researchers at Lund University , ETH Zürich , and Technion . Her group contributes to TU/e's research clusters: EAISI High Tech Systems EAISI Health Dynamics and Control In educational activities, she teaches Signals and Systems and a new course on Fault Diagnostics and Security for Control Systems . She organizes workshops at major conferences including DISC Summer School , European Control Conference , and American Control Conference .

Mohammed Niamatمشاهده پروفایل

استاد

• Hardware Security
• FPGA Design
• Quantum-Dot Cellular Automata (QCA)
• +۴ مورد دیگر

Dr. Mohammed Niamat is a Professor in the Department of Electrical Engineering and Computer Science at the University of Toledo, part of the College of Engineering. His research focuses on hardware security, FPGA design, quantum-dot cellular automata (QCA), cryptography, and smart grid infrastructure. He holds a primary appointment at the University of Toledo, with contact details at 2008 Nitschke Hall. Research interests include Built-in-Self Test (BIST), fault-tolerant hardware, secure FPGA supply chains, and role-based access control. His work emphasizes securing advanced metering infrastructure (AMI) and IoT systems through hardware-oriented authentication and PUF (Physical Unclonable Function) techniques. Key publication trends highlight advancements in FPGA security, machine learning countermeasures against PUF attacks, and blockchain-integrated frameworks for hardware trustworthiness. Recent projects address vulnerabilities in ring oscillator PUFs and lightweight cryptographic solutions for IoT. Dr. Niamat has contributed to over 40 publications since 1986, spanning topics from power system stabilizers to nanoscale QCA logic synthesis. His work bridges theoretical computing and practical applications in high-performance systems.

Allahyar Akhbariمشاهده پروفایل

مدرس

• Energy
• Power Electronics
• Controls
• +۷ مورد دیگر

Allahyar Akhbari is a Lecturer and Research Assistant at Aarhus University's Faculty of Engineering and Science, specializing in Energy Section focusing on Offshore Renewable Energy Systems. He holds a PhD in Electrical Power Engineering from the University of Kashan (2017-2022) and conducted a Guest PhD at Aarhus University (2021-2022). His academic roles include multiple Lecturer positions in MATLAB, Electrical Basics, Power Electronics, and Electrical Machines Laboratories at the University of Kashan (2018-2021). Research Interests: His work centers on energy systems integration, particularly DC microgrids, wind turbine control, and stability analysis of renewable energy systems. He explores artificial intelligence applications in power systems and hybrid energy generation systems combining wind, microturbines, and constant power loads. His research emphasizes real-time control, fault ride-through mechanisms, and efficient power management strategies. Projects: He participates in major initiatives including the BlueBARGE project (EU-funded, 2024-2026) for renewable bunkering solutions and the Wave Energy Converter project (2023-2025) focusing on reliable energy generation. Additional projects include FOSS (floating offshore substations) and Damping System research for semi-submersible wind turbines. Advising & Grants: Though no student advisees are listed, he is actively involved in multiple EU-funded research projects as a project participant. His work aligns with renewable energy transition goals, emphasizing offshore systems and grid stability. Labs & Teams: Collaborates within Aarhus University's Energy Section teams, particularly in offshore renewable energy systems and wave energy converter analysis. Engages with cross-disciplinary groups in power electronics and control systems development.

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

Prof. Dr. Osman Kukrer is a full-time faculty member at Eastern Mediterranean University (EMU), Faculty of Engineering, Department of Electrical and Electronics Engineering. He has been actively supervising graduate students in power electronics, control systems, and renewable energy integration since the 1990s. His research spans advanced power conversion topologies, including quasi-Z-source inverters multilevel converters active power filters grid-connected systems adaptive beamforming algorithms electric vehicle grid integration Notable contributions include the EMU Publication Citation Award (2017) and extensive supervision of 41 graduate theses, with research interests aligning with modern energy systems and signal processing techniques.

• Computational Multiphysics
• Offshore Renewable Energy
• Finite Element Methods
• +۵ مورد دیگر

Oriol Colomes Gene serves as Assistant Professor in the Offshore Engineering section within the Faculty of Civil Engineering and Geosciences at Delft University of Technology. He leads the Computational Multiphysics in Offshore Engineering research group, focusing on advanced numerical methods for offshore renewable energy applications. His teaching responsibilities include the “Floating and Submerged Structures” module for Civil Engineering master’s students and “Introduction to Computational Dynamics of Offshore Structures” in the Offshore and Dredging Engineering master’s program. His educational background includes a combined Bachelor’s/Master’s degree in Civil Engineering (2011) and a PhD in Civil Engineering (2016) from Universitat Politècnica de Catalunya, followed by postdoctoral research at Duke University (2016-2020). Colomes Gene’s research centers on computational multiphysics with emphasis on: Development of efficient Finite Element solvers for turbulent flows, free-surface flows, and visco-elasto-plastic solids Fluid-structure interaction in complex geometries Numerical methods for multi-phase and multi-material systems Applications in offshore wind, wave energy, and floating photovoltaics His recent work demonstrates strong integration of theoretical numerical methods with practical offshore renewable energy challenges, particularly in hydroelastic analysis of floating structures and optimization of energy capture systems. His scientific recognition includes: NWO Open Technologieprogramma subsidy for the RAPID-Wind project (2025) Colomes Gene actively supervises research within his Computational Multiphysics group and contributes to major collaborative projects including SPARKLES (2024-2030), which investigates nature-positive floating solar solutions. His research is supported by significant grants targeting offshore renewable energy innovation and computational methodology advancement. His laboratory work focuses on high-performance computing for multiphysics simulations, with particular expertise in developing and validating numerical frameworks for: Free-surface flows interacting with structures Vortex-induced vibrations Complex geometry hydrodynamics Hydroelastic response of very large floating structures

Yawen Wangمشاهده پروفایل

استادیار

• Gear Dynamics
• Structural Vibration and Acoustics
• Active Noise Control
• +۳ مورد دیگر

Dr. Yawen Wang is an Assistant Professor of Research in the Mechanical and Aerospace Engineering Department at The University of Texas at Arlington (UTA). He directs the Vibro-Acoustics and Sound Quality Research Laboratory and leads the Hypoid and Bevel Gear Mesh and Dynamic Modeling Consortium. His academic career includes adjunct roles at the University of Cincinnati and teaching positions since 2017. Dr. Wang holds a PhD in Mechanical Engineering from the University of Cincinnati (2017), an MS from the same institution (2013), and a BS from Chongqing University (2010). Educational Background PhD in Mechanical Engineering, University of Cincinnati, 2017 MS in Mechanical Engineering, University of Cincinnati, 2013 Bachelor of Science in Mechanical Engineering, Chongqing University, 2010 Research Expertise Dr. Wang specializes in precision machine elements (gears, bearings), gear noise/vibration, structural acoustics, active noise control, automotive NVH, and data-driven design. His work integrates computational modeling, experimental techniques, and analytical approaches to solve engineering challenges in powertrain systems and vehicle dynamics. Recent projects include optimizing hypoid gear designs, improving drivetrain prognostics via Vibration Resonance Spectrometry (VRS), and reducing electric vehicle noise through advanced materials and control systems. Professional Contributions He has authored/co-authored over 70 journal/conference papers and collaborates with industry leaders like Ford, GM, Daimler, and Toyota. His awards include the InterNoise Hallberg Foundation Award (2015) and NoiseCon Michiko Finegold Award (2014). Dr. Wang serves on ASME committees and chairs sessions at the International Power Transmission and Gearing Conference. Academic Leadership He advises graduate students, including Chia Ching Lin for a dissertation on axle system dynamics. Teaching responsibilities span mechanical vibrations, structural dynamics, and powertrain design. Dr. Wang also oversees grants from sponsors such as Jian’an Industrial Co., advancing gear mesh modeling and dynamic analysis. Labs & Consortia As director of the Vibro-Acoustics Lab, he focuses on sound quality design, active control systems, and vehicle interior acoustics. The Gear Consortium he leads develops tools like HGSim for gear mesh simulation, with recent updates to version 7.8.3 (2024).

• Plasma Physics
• Atomic Physics
• Quantum Computing
• +۴ مورد دیگر

Linda Vahala is an Associate Professor in the Department of Electrical & Computer Engineering at Old Dominion University (ODU). She holds a Ph.D. in Applied Physics from ODU (1983), an M.S. in Physics from the University of Iowa (1972), and a B.S. in Physics from the University of Illinois (1969). Her research focuses on plasma physics, atomic physics, and computational methods for fluid and magnetohydrodynamic (MHD) systems. She has pioneered work in lattice Boltzmann methods, quantum lattice gas algorithms, and turbulence modeling, with applications in fusion energy and aerospace engineering. Joined ODU faculty as Assistant Professor in 1987, promoted to Associate Professor Lead researcher in projects funded by federal agencies (e.g., NSF, DoD) totaling over $10M Collaborations with institutions like MIT, Princeton Plasma Physics Lab, and European fusion programs Her research interests span plasma diagnostics, wave propagation in tokamaks, and quantum computing applications. She has published over 200 peer-reviewed articles and developed novel computational frameworks for simulating complex plasma phenomena. Recent work includes quantum algorithms for turbulence and lattice models for MHD. Grants include major initiatives like the 'Graduate Fellows for Excellence in Engineering and Mathematics Education' (2009-2014) and projects on EBW physics in NSTX tokamaks. Her work bridges theoretical physics with engineering applications, particularly in aerospace systems and radiation effects on electronics.

Hugues MOUNIERمشاهده پروفایل

استاد

• Control Theory
• Differential Flatness
• Controllability Analysis
• +۵ مورد دیگر

Professor Hugues MOUNIER is affiliated with Paris Saclay University and the Laboratoire des Signaux et Systèmes (L2S) at CentraleSupélec. His primary role is as a Professor leading the COMEDY team, focusing on control systems and their applications. He has been a permanent member of L2S since 2010 and joined Paris Saclay University in 2008. His research spans theoretical and applied domains: differential flatness (for nonlinear and infinite-dimensional systems), Liouvillian systems, controllability/observability properties, and applications in contemplative neuroscience, physiological systems, and engineering systems like drilling, automotive, and network control. He leads the ANR project MindMadeClear, integrating mathematical models for meditation practices with physiological and phenomenological analysis. Key contributions include modeling oilwell drilling vibrations, model-free control strategies for vehicles and data centers, and neuroscientific studies using EEG classification for meditation states. His work bridges abstract theory (e.g., flatness analysis for HPA axes) with real-world applications (e.g., congestion control, energy management). He collaborates internationally, presenting at venues like ECC, IFAC, and IEEE conferences. His lab teams include SYCOMORE and MODESTY, focusing on dynamical systems modeling and estimation. No awards are explicitly listed, but his extensive peer-reviewed publications reflect sustained academic impact.

Javad Khazaeiمشاهده پروفایل

استادیار

• Smart Grid Dynamics & Control
• Data-Driven Modeling and Control
• Microgrid Systems
• +۳ مورد دیگر

Javad Khazaei is an Assistant Professor in the Electrical & Computer Engineering Department at Lehigh University and director of the INTEGRITY Laboratory. Previously, he held an Assistant Professor position at Penn State Harrisburg and was affiliated with Penn State University Park's Architectural Engineering Department. He earned his Ph.D. in Electrical Engineering (Power and Energy) from the University of South Florida in 2016. Research Interests : His work focuses on smart grid dynamics and control, data-driven modeling and control in power systems, water-energy microgrids, smart grid cybersecurity, and renewable energy integration. His laboratory, INTEGRITY Lab, addresses challenges in resilient and intelligent energy systems. Recent Work Trends : His publications emphasize data-centric approaches for system identification, model predictive control (MPC) for microgrids, and enhancing resilience through advanced control strategies. Key themes include cybersecurity in energy systems, hybrid energy-water nexus optimization, and naval/marine microgrid resilience. Grants & Collaborations : Awarded a $12M DOE grant to expand marine energy initiatives, with partnerships focusing on naval microgrid resilience and offshore renewable integration. His work often involves interdisciplinary collaborations between electrical engineering, cybersecurity, and infrastructure systems. Lab & Infrastructure : Directs the INTEGRITY Lab, which develops cutting-edge solutions for cyber-physical energy systems. Research includes hardware-software integration for real-time monitoring and control of microgrid components.