جستجوی استاد راهنمای دانشگاهی

Hantao Cuiمشاهده پروفایل

دانشیار

• Power Electronics
• Renewable Energy Systems
• Power System Simulation
• +۳ مورد دیگر

Hantao Cui is an Associate Professor in the Department of Electrical and Computer Engineering at NC State University. He previously served as an Assistant Professor at Oklahoma State University (2021–2024) and earned his Ph.D. in Electrical Engineering from the University of Tennessee, Knoxville (2018). His research focuses on applying mathematical and computational methods to model, simulate, and analyze modern power systems, particularly those dominated by renewable energy sources and inverter-based technologies. He is the author of the ANDES simulation tool and a recipient of the NSF CAREER Award (2024) and the 2020 R&D 100 Award for his work on the CURENT Large-Scale Testbed. His expertise spans power electronics, grid stability, and cyber-physical system integration. Education: Ph.D. in Electrical Engineering, University of Tennessee, Knoxville (2018) M.S. in Electrical Engineering, Southeast University, China (2013) B.S. in Electrical Engineering, Southeast University, China (2011) Research Interests: Large-scale power system simulation and modeling Inverter-based resource control and grid stability Renewable energy integration and optimization Cyber-physical system testbed development Open-source software tools for power systems analysis Key Contributions: Developed ANDES, an open-source framework for power systems modeling Advanced virtual inertia scheduling (VIS) techniques for microgrids Pioneered data-driven adaptive control strategies for grid-forming inverters Awards & Honors: NSF CAREER Award (2024) R&D 100 Award (2020) Best Paper Award at IEEE PES General Meeting (2022) Senior Member of IEEE (2020) Grants & Labs: Principal Investigator for NSF-funded research on inverter-based grid stability Core contributor to the CURENT Large-Scale Testbed project

• Power Systems
• Renewable Energy
• Power Electronics
• +۴ مورد دیگر

YuAnn Li is an Assistant Professor in the Department of Electrical Engineering at the University of Pittsburgh, affiliated with the Swanson School of Engineering. Previously, she held academic positions at FAMU–FSU College of Engineering (2019–2024) and Sichuan University (2009–2018). She earned her B.S., M.S., and Ph.D. in Electrical Engineering from Wuhan University in 2003, 2006, and 2009, respectively. Her research focuses on power systems, renewable energy integration, power electronics, and grid modernization. Notable contributions include advancements in inverter technology, hybrid circuit breakers, and grid stability solutions. Her work bridges theoretical power analysis (e.g., spacetime pq theory) with practical applications like solar forecasting and fault current management. Publications span key journals such as IEEE Transactions on Power Electronics and IEEE Journal of Emerging Topics in Power Electronics. Her research emphasizes grid resilience through energy storage systems and smart grid innovations. No scientific awards are explicitly mentioned. Her advising and grants sections remain unspecified in available texts. She is active in lab and team collaborations within power systems and energy electronics domains.

Agathoklis Giaralisمشاهده پروفایل

مدرس ارشد

• Structural Dynamics
• Earthquake Engineering
• Structural Health Monitoring
• +۱۱ مورد دیگر

Dr. Agathoklis Giaralis is a Senior Lecturer in Structural Engineering within the Department of Civil Engineering at the School of Engineering and Mathematical Sciences, City, University of London. He earned his PhD in Civil & Environmental Engineering from Rice University, USA, in 2008, following an MSc and a 5-year Diploma (Ptychion) in Structural Engineering from Aristotle University of Thessaloniki, Greece. He is a Fellow of the Higher Education Academy, UK. PhD, Civil & Environmental Engineering, Rice University, USA (2008) MSc, Seismic Design of Structures, Aristotle University of Thessaloniki, Greece (2004) Ptychion (5 yr Diploma), Civil/Structural Engineering, Aristotle University of Thessaloniki, Greece (2003) Dr. Giaralis's research is centered on nonlinear stochastic dynamics and time-frequency signal analysis , applied to critical areas such as earthquake engineering , seismic structural design and assessment , structural health monitoring (SHM) , and passive vibration control . His work is pioneering in the development and application of inerter-based vibration control systems, such as the Tuned Mass-Damper-Inerter (TMDI), for enhancing the resilience of structures. He also explores compressive sensing and low-power wireless sensors for sustainable SHM, as well as digital twinning and machine learning in wind engineering. His recent research has significant implications for offshore wind turbines and urban wind comfort. An analysis of his 15 most recent publications reveals a consistent and cutting-edge research trajectory focused on the optimization and application of inerter-based devices for structural control. The work spans from developing analytical tuning formulas for TMDIs to conducting experimental validation on shaking tables and exploring novel applications in offshore wind turbines and composite floors. A strong emphasis is placed on performance-based design , uncertainty quantification , and practical implementation for real-world infrastructure. His scientific contributions have been recognized by prestigious awards, including the Fulbright Exchange Student Program scholarship for his PhD studies and a Fellowship from the Higher Education Academy . He is also a member of several leading professional organizations such as the American Society of Civil Engineers (ASCE) and the Society for Earthquake and Civil Engineering Dynamics (SECED). Dr. Giaralis is actively involved in research funding and academic mentorship. He has secured significant grants from Innovate UK and the EPSRC to support his work on machine learning-based design and optimal inerter configurations. He supervises a cohort of PhD students whose theses focus on advanced topics like adaptive control of bridge joints, inerter-based energy harvesting, and seismic assessment using digital twins. He also leads the Smart Structures and Structural Health Monitoring Research Unit , driving collaborative research in smart infrastructure technologies.

• Performance evaluation of networks
• Wireless networks
• Internet of Things (IoT)
• +۱۲ مورد دیگر

Katia Jaffres-Runser is a full Professor at Institut National Polytechnique de Toulouse (Toulouse INP) , affiliated with the ENSEEIHT engineering school and the IRIT laboratory , where she leads the RMESS team. She holds a PhD from INSA Lyon and completed a prestigious Marie Curie postdoctoral fellowship at Stevens Institute of Technology and INSA Lyon. PhD : Institut des Sciences Appliquées de Lyon (INSA Lyon), 2005 M.Sc. : INSA Lyon, 2002 Diplôme d’Ingénieur en Télécommunications : INSA Lyon, 2002 Her research centers on performance evaluation and optimization of networks , particularly in wireless sensor networks, IoT, embedded systems, and complex networks. She applies advanced techniques like Google Matrix analysis, game theory, and deep reinforcement learning to improve network reliability, synchronization, and efficiency. Her work spans theoretical modeling and practical implementations in avionics, automotive, and industrial systems. Her recent publications highlight a strong trend in time-sensitive networking (TSN) , network synchronization , AI-driven optimization , and complex network analysis using Wikipedia and trade data. She has led major projects like MACACO, GOIA, and the Maison du Quantique Occitanie, focusing on real-time, reliable, and intelligent networking solutions. Scientific Awards: Best Paper Award on Propagation, IEE International Conference on Antennas and Propagation, 2003 STIC Innovation Prize, 2005 Marie Curie Outgoing International Fellowship, 2007–2010 Prime d'Excellence Scientifique (2013–2016) PEDR (2017–2021) RIPEC C3 (2022–2025) She has advised PhD students and contributed to national and international scientific service, including committee memberships in CoNRS , HCERES , and ACM N²Women . She has served on award juries and grant review panels. Her leadership extends to being Vice-President for Education at Toulouse INP (2021–2024) and Team Leader of RMESS at IRIT (since 2024) . She is actively involved in research labs and collaborative teams such as: RMESS Team , IRIT Laboratory – leading research on network modeling and embedded systems MACACO Project – international collaboration on adaptive communication networks GOIA and APPLIGOOGLE Projects – applying Google Matrix to AI and complex networks IRT EDEN – evaluating determinism in embedded networking

Prabhakara Akarshمشاهده پروفایل

استادیار

• Wireless Systems
• Cyber-Physical Systems
• Machine Learning for RF
• +۶ مورد دیگر

Akarsh Prabhakara is an Assistant Professor in the Department of Computer Sciences at the University of Wisconsin–Madison, with an additional affiliation in the Department of Electrical and Computer Engineering. He earned his Ph.D. from Carnegie Mellon University in 2024, where he worked under Professors Anthony Rowe and Swarun Kumar. Ph.D., Electrical and Computer Engineering, Carnegie Mellon University, 2024 B.Tech, Electronics and Communication Engineering, National Institute of Technology Karnataka, 2018 His research focuses on building high-fidelity wireless systems for perception and communication, particularly in cyber-physical and robotic applications. He explores machine learning-driven RF systems, novel communication paradigms, wireless-robotics integration, and embedded wireless sensing. His work aims to enable robust perception in challenging environments such as smoke or fog using millimeter wave radar and deep learning. His recent publications in CVPR, ICRA, MobiCom, and ICCV demonstrate a strong trend in using neural methods for radar simulation, super-resolution, and wireless intelligence. Key themes include implicit neural rendering for radar, end-to-end learning for perception, and high-resolution point cloud generation from low-cost sensors. His scientific contributions have been recognized through publications in top-tier venues, though specific awards are not mentioned in the provided text. He is actively involved in mentoring and recruiting students for research in wireless and robotics. He teaches courses such as Intro to Computer Networks and Big Ideas in Wireless: Perception and Communication . He leads research projects like RadarHD, which enables lidar-like perception from mmWave radar, and is developing tools and datasets for community use. His lab emphasizes practical, real-world applications of wireless systems in robotics and autonomous systems.

• Mathematical Modeling
• Simulation of Machinery Systems
• Fluid Dynamics
• +۶ مورد دیگر

Eilif Pedersen is a Professor and Program Leader for Marine Technology at the Norwegian University of Science and Technology (NTNU). He leads the Department of Marine Technology under the Faculty of Engineering. His research focuses on mathematical modeling, simulation of machinery systems, and energy-efficient solutions in marine and offshore contexts. He is actively involved in projects such as SEACo, SFI Smart Maritime, and ViProMa, emphasizing virtual prototyping and hybrid power systems. Key research areas include bond graph methodology, thermodynamic system modeling, and dynamic analysis of marine systems. Pedersen supervises numerous PhD and industrial projects, including studies on hybrid propulsion, wind turbine dynamics, and fuel cell integration. He has contributed to over 50 publications, with recent work addressing co-simulation techniques, energy conservation in marine systems, and emission reduction strategies. His expertise spans marine engines, fluid dynamics, and renewable energy applications. Collaborations with industry partners like Rolls-Royce and Kongsberg Digital highlight his commitment to bridging academic research with practical maritime challenges.

Daniel Saabمشاهده پروفایل

دانشیار

• Computer Architecture
• VLSI System Design
• CAD Design Automation
• +۳ مورد دیگر

Daniel Saab is an Associate Professor in the Department of Electrical, Computer, and Systems Engineering at Case School of Engineering, Case Western Reserve University. His research focuses on computer architecture, VLSI system design, CAD design automation, and MEMS/NEMS-based technologies. He holds a PhD from the University of Illinois at Urbana-Champaign (1988), following a Master of Science (1985) and Bachelor of Science (1983) in the same field. His work emphasizes ultra-low-power and high-speed electronic systems, particularly leveraging nanoelectromechanical systems (NEMS) and MEMS technologies. Key contributions include MEMS-based logic gates for radiation-resistant processors, ultra-fast 1 GHz NEMS switches, and hybrid CNEMS-CMOS FPGA architectures. His research also addresses hardware security, such as Trojan modeling and verification methods for integrated circuits. Publications span conferences like IEEE SENSORS, TRANSDUCERS, and International Symposium on Quality Electronic Design, with a focus on advancing low-power circuits, nanotechnology integration, and high-reliability electronics. Current affiliations include teaching and research leadership at Case School of Engineering.

• Numerical Methods
• Computational Engineering
• Multiphysics Simulation Techniques
• +۲ مورد دیگر

Prof. Thomas Weiland is a Full Professor of Computational Electromagnetics at the Technische Universität Darmstadt since 1989. His research focuses on numerical methods, computational engineering, and multiphysics simulation techniques, particularly in accelerator physics and beam dynamics. He holds a Dr.-Ing. from TU Darmstadt and has held postdoctoral and research positions at CERN and TU Darmstadt. His work includes pioneering contributions to electromagnetic field simulations, including advanced finite element methods, discontinuous Galerkin techniques, and boundary element approaches. Education highlights include his Diplom in Electrical Engineering from TU Darmstadt (1975) and a Habilitation in Experimental Physics from the University of Hamburg (1984). His research spans computational electromagnetics, accelerator physics, and numerical methods for electromagnetic field problems. Notable areas of innovation include transparent boundary conditions, eigenmode calculations, and high-performance simulation frameworks for rotating systems and particle accelerators. His publications emphasize advancements in electromagnetic simulation tools, such as the MagPEEC method and Trefftz-discontinuous Galerkin approaches. Collaborative projects include modeling RF photoinjectors for light sources and electrohydrodynamic droplet dynamics. Technical contributions also extend to wake field analysis in particle accelerators and SAR distribution studies in bioelectromagnetics. Research interests further include multiphysics coupling (thermal-electromagnetic effects in surge arresters), stochastic modeling of electromagnetic systems, and field-circuit co-simulation techniques. His work addresses challenges in large-scale eigenvalue problems, adaptive mesh optimization, and high-precision numerical methods for complex geometries.

Stanko Stankovمشاهده پروفایل

پژوهشگر

• Industrial Automation
• Process Control
• SCADA Systems
• +۷ مورد دیگر

Stanko Stankov is a researcher at the Faculty of Electronics, University of Niš, Serbia, affiliated with the Department of Automation. His work bridges academic research and industrial application in automation, control systems, and energy-efficient industrial processes. Master's Degree, Automation, Faculty of Electronics, University of Niš, 2013 Bachelor's Degree, Automation, Faculty of Electronics, University of Niš, 1987 His research focuses on industrial automation, particularly the application of PLC and SCADA systems in mineral wool production, water treatment, HVAC, and electrical installations. His work emphasizes real-time monitoring, process optimization, and energy efficiency in industrial settings. He has contributed to the design and implementation of control systems for complex technical plants, grounding, solar power, and security installations. The recent publications reveal a consistent trend in applied control engineering, with a focus on industrial process automation, data acquisition, and system integration. His work spans chemical, water, metallurgical, and energy sectors, demonstrating interdisciplinary relevance in engineering. Stanko Stankov holds professional licenses as a responsible designer and contractor in electrical and automation systems, indicating strong industry engagement. He has been involved in over 40 major design projects and the construction of more than 20 industrial facilities. He participates in national research projects and has contributed to journals such as Facta Universitatis , Tehnika , and Chemical Industry . His expertise includes solar power plants, fire protection, video surveillance, and telecommunications infrastructure.

Wenbo Duanمشاهده پروفایل

مدرس ارشد

• Ultrasonic Non-Destructive Testing
• Guided Wave Defect Detection
• Finite/Spectral Element Modeling
• +۶ مورد دیگر

Wenbo Duan is a Senior Lecturer and MSc Programme Leader in Mechanical Engineering at the University of Hertfordshire. He holds a PhD from the University of Manchester (2010) and previously served at Brunel University London as a Research Fellow, Senior Research Fellow, and Technical Advisor. His research focuses on advanced non-destructive testing techniques, including ultrasonic and guided wave methods, finite/spectral element modeling, and acoustic communication in industrial pipelines. He specializes in numerical simulations of wave propagation in complex media, defect detection, and signal processing innovations. Education: PhD in Mechanical Engineering, University of Manchester (2010) MSc in Engineering BSc (Distinguished) in Engineering Research Interests: Ultrasonic Non-Destructive Testing (NDT) Guided Wave Defect Detection Piezoelectric-Structure Coupling Acoustic Communication in Pipes Multiphysics Spectral Element Modeling Fluid-Structure Interaction Analysis Key Projects (2021–2025): "Noise Cancelling for Powered Air Purifying Respirators" (PI) "Guided Wave Inspection in Fluid-Filled Wells" (PI) "Assessing the Impact of Strain on Temperature Readings" (Co-Investigator) Advisees & Grants: No specific advisees listed. Active in securing research funding for NDT and acoustics-related projects. Labs & Teams: Involved in the Centre for Engineering Research at the University of Hertfordshire, focusing on computational mechanics and industrial applications.

Yichuang Sunمشاهده پروفایل

استاد

• Wireless Communications
• 5G/6G Technologies
• RF Circuits and Systems
• +۷ مورد دیگر

Yichuang Sun is a Professor of Communications and Electronics at the University of Hertfordshire, leading the Communications and Intelligent Systems Research Group and the Electrical and Electronic Engineering Department. He holds a PhD from the University of York (1996) and has over 450 peer-reviewed publications, 5 authored books, and 40+ supervised PhD students. His research focuses on wireless communications (5G/6G, RIS-aided systems), RF/microwave circuits, neuromorphic computing, and machine learning applications. He serves as Editor or Guest Editor for 12+ IEEE/IET journals and chairs technical committees for IEEE conferences. Notably ranked in the World's Top 2% Scientists since 2019, he also advises global institutions like Oxford and the Royal Academy of Engineering. Education: PhD in Electronics, University of York, UK (1996) Research Interests: Wireless/Mobile Communications and Networks RF and Microelectronic Circuits Neuromorphic Computing and Machine Learning Memristor-based Systems Secure and Energy-Efficient Communications Grants & Projects (selected): Advanced mmWave MIMO 4D Radar for Traffic Detection (2024–2027) Wireless Power Transfer for Implantable Medical Devices (2023–2025) RFID System for Sample Management (2021–present) Labs/Teams: Leads the Communications and Intelligent Systems Research Group, collaborating on 6G, neuromorphic hardware, and IoT systems.

Jochen Linßenمشاهده پروفایل

استاد

• Energy Systems
• Renewable Energy
• Hydrogen Technology
• +۳ مورد دیگر

Prof. Dr.-Ing. Jochen Linßen is a Professor at the Institute of Climate and Energy Systems (ICE) , specifically within the Jülich Systems Analysis (ICE-2) group at the Research Center Jülich GmbH. His work focuses on advancing energy systems modeling, renewable energy integration, and hydrogen technology. Key research areas include the techno-economic analysis of energy transition pathways, hydrogen cost-potentials, and the interplay between energy systems and transportation networks. His expertise spans climate policy, infrastructure planning, and the development of frameworks for long-term mobility demand modeling. He has contributed to high-resolution assessments of renewable energy resources and the evaluation of green hydrogen’s role in decarbonizing industries. Recent work emphasizes AI-driven risk mitigation in energy systems and the impact of natural hazards on energy infrastructure resilience. Research Interests: Modeling of energy systems and hydrogen networks Renewables integration and curtailment challenges Transportation electrification and hydrogen fueling infrastructure Climate policy and decarbonization strategies Key Projects: ETHOS. MODE. regional framework for mobility demand analysis Global assessments of wind and solar power potentials Hydrogen supply chain optimization for Germany and Europe His collaborative approach bridges engineering, economics, and environmental science to address systemic challenges in energy transitions. Ongoing efforts include participatory mapping of green hydrogen potentials in sub-Saharan Africa and analysis of automated driving’s impact on road networks.

• Electric Vehicles
• Power Electronics
• Battery Systems
• +۴ مورد دیگر

Overview Mohamed El Baghdadi is a postdoctoral researcher at the MOBI - Electromobility Research Centre and the Department of Electrical Engineering and Power Electronics at Vrije Universiteit Brussel. His work focuses on advanced power electronics for electric vehicles, thermal management systems, and sustainable energy integration. He has led over 30 projects since 2014, including high-profile initiatives like GEARING MOBI and DESTINY. Research Interests His research spans: Electric vehicle powertrains and charging infrastructure SiC/GaN semiconductor cooling solutions Digital twin modeling for power electronics Fuel cell vehicle optimization Thermal management of high-power inverters Key Contributions Recent work includes groundbreaking advancements in: 6-phase motor drive systems Additive-manufactured cooling structures Multiport DC charging strategies Fuel cell coach powertrain design Awards Awarded the Best Paper Award (2024) and WEVJ BEST PAPER AWARD (2021) for contributions to electric vehicle technologies. Collaborations Active collaborations with industry leaders on EU-funded projects like GIANTS and SOCMAAK39, focusing on decarbonization and electromobility innovations.

Emily Berglundمشاهده پروفایل

استاد

• Water Resources Engineering
• Socio-Technical Systems
• Agent-Based Modeling
• +۳ مورد دیگر

Emily Berglund is a Professor and Associate Head for Faculty Development in the Department of Civil, Construction, and Environmental Engineering at North Carolina State University. She holds a Ph.D. (2005), M.S., and B.S. in Civil Engineering from North Carolina State University and the University of Kentucky, respectively. Her research focuses on geospatial analytics, agent-based modeling of socio-technical systems, and optimizing infrastructure resilience, particularly in water resources and solar power systems. Her work integrates complex adaptive systems modeling with engineering approaches to address challenges in water management, including lead contamination, dynamic pricing, and pandemic-related demand shifts. She has led projects funded by the EPA, NSF, and others, totaling over $2 million. Notable achievements include developing frameworks for lead risk prediction and citizen science initiatives to address environmental disparities. Dr. Berglund’s publications span journals like Proceedings of the National Academy of Sciences and Water Resources Research , emphasizing equity in sustainability science and socio-technical system dynamics. She mentors students on technology adoption and infrastructure resilience, advocating for interdisciplinary solutions to global water challenges. Education: Ph.D./M.S. Civil Engineering (NC State), B.S. Civil Engineering (University of Kentucky) Grants: Includes $1.2M for pandemic water system modeling and $540K for consumer-centric lead detection Labs/Teams: Active in the Fitts-Woolard Hall research group and collaborates on initiatives like Crowd the Tap citizen science

Thor Inge Fossenمشاهده پروفایل

استاد

• Marine craft hydrodynamics
• Motion control systems
• Navigation systems
• +۷ مورد دیگر

Thor Inge Fossen is a Professor of Navigation and Marine Craft Control at the Department of Engineering Cybernetics, Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU). He is a key scientist at the Norwegian Centre for Embodied AI (NCEI) and internationally recognized for his work in navigation systems, guidance systems, and control of marine vessels, aircraft, and drones. Professor Fossen holds a PhD in Engineering Cybernetics and an MSc in Marine Technology. His academic journey has led him to become a Fellow of AAIA, IEEE, and IFAC, reflecting his significant contributions to the field. His research spans several critical areas in marine and aerospace systems: Marine craft hydrodynamics and motion control Navigation, guidance, and control systems for marine craft, aircraft, and drones Cybersecurity of autonomous vehicles Sea-state estimation and wave analysis Attitude control and estimation Fossen's marine craft model, which is widely used in the industry Professor Fossen's publication record demonstrates a strong focus on adaptive control systems, particularly Line-of-Sight (LOS) guidance laws, with numerous papers on 3D path following for marine and aerial vehicles. His recent work (2023-2025) shows increasing integration of machine learning techniques with traditional control systems, particularly in areas like constrained control allocation using deep neural networks. There's also a growing emphasis on cybersecurity aspects of autonomous vehicle guidance systems. His scientific recognition includes: Fellow of the American Institute of Aeronautics and Astronautics (AAIA) Fellow of the Institute of Electrical and Electronics Engineers (IEEE) Fellow of the International Federation of Automatic Control (IFAC) Professor Fossen has been actively involved in advising graduate students, with numerous PhD and MSc graduates. He has led significant research projects including the Marine Systems Simulator (MSS) and the Python Vehicle Simulator, which are widely used tools in the field. His current appointments include being a Study Program Coordinator for the Master's program in Cybernetics and Robotics at NTNU and a Key Scientist at the Norwegian Centre for Embodied AI. He leads research teams focused on embodied AI applications for marine systems, with particular emphasis on safe and secure autonomous operations in complex maritime environments. His work bridges theoretical control systems with practical marine applications, making significant contributions to both academic research and industry implementation.