جستجوی استاد راهنمای دانشگاهی

Sarah Kurtzمشاهده پروفایل

استاد

• Multijunction photovoltaics
• Concentrator photovoltaics
• PV reliability
• +۴ مورد دیگر

Sarah Kurtz is a distinguished Professor at the University of California Merced and a Research Fellow with the National Center for Photovoltaics at the National Renewable Energy Laboratory (NREL). She maintains active affiliations with multiple professional organizations including the American Chemical Society, American National Standards Institute, American Solar Energy Society, and the Institute of Electrical and Electronics Engineers. Dr. Kurtz is a world-renowned expert in multijunction photovoltaics (PV), concentrator PV, and PV reliability. Her research interests span solar cell engineering (100% focus), photovoltaics engineering (85%), gallium arsenide applications (72%), photovoltaic modules (68%), renewable energy systems (46%), band gap engineering (46%), degradation rate analysis (39%), and photovoltaic system design (38%). Her recent publication activity demonstrates continued leadership in solar energy research, with significant contributions to understanding grid integration challenges, long-duration storage needs, agrivoltaics potential, and vertical solar canal designs. The publication trends show her evolving focus from fundamental PV materials to system-level integration challenges as solar approaches terawatt-scale deployment. Cherry Award (2012) Dan David Prize (2007) National Science Foundation Research Fellowship (1985) Dr. Kurtz's research is supported by her position at NREL's National Center for Photovoltaics, where she contributes to select projects while maintaining her academic role at UC Merced. Her work has significant policy impact, with research covered by 36 news outlets, referenced in 2 policy sources, and discussed across social media platforms. She has mentored numerous researchers and collaborated extensively across the energy research community, as evidenced by her 414 research outputs and extensive co-author network. Dr. Kurtz leads research within the National Center for Photovoltaics, focusing on advancing solar technology from fundamental materials research to grid integration solutions. Her team investigates reliability challenges, novel deployment strategies, and the systems-level requirements for scaling solar to meet global energy needs.

Olivier Bachelierمشاهده پروفایل

استاد

• Automatic Control
• Systems Theory
• Stability Analysis
• +۵ مورد دیگر

Olivier Bachelier is a Full Professor in Automatic Control and Systems at the National School of Engineers of Poitiers (ENSIP), part of the University of Poitiers, France. He is affiliated with the LIAS (Laboratoire d'Informatique et d'Automatique pour les Systèmes) research laboratory, with offices at both the ENSIP campus in Poitiers and the ISAE-ENSMA campus in Chasseneuil. Professor Bachelier's research focuses on multidimensional systems theory, particularly 2D and 3D Roesser models, stability analysis of linear systems, and control theory. His work bridges theoretical mathematical analysis with practical applications in power systems and renewable energy. He has made significant contributions to understanding stability conditions for various multidimensional system models, including Fornasini-Marchesini models and descriptor systems. His publication record shows a consistent research trajectory spanning over two decades, with more than 150 publications including 62 journal articles and 88 conference papers. Recent work (2020-2023) demonstrates continued productivity with numerous publications in top-tier control theory journals such as IEEE Transactions on Automatic Control, International Journal of Control, and Multidimensional Systems and Signal Processing. His research shows a clear evolution from fundamental stability analysis to applications in power electronics and renewable energy systems.

André Leonideمشاهده پروفایل

استاد

• Electrochemical Systems
• Fuel Cell Technology
• Battery Technology
• +۳ مورد دیگر

André Leonide serves as Professor of Materials Science for Electrical Engineering at Georg Simon Ohm University of Technology since September 2022. Previously, he held research and project management positions at Siemens AG (2011-2022) and Karlsruhe Institute of Technology (2010-2011). His academic journey includes doctoral studies at KIT where he earned his Dr.-Ing. degree in 2010 with a dissertation on SOFC modeling using impedance spectroscopy. His research focuses on experimental modeling of electrochemical systems, particularly solid oxide fuel cells and lithium-ion batteries. Key methodologies include electrochemical characterization, impedance spectroscopy, and physical modeling of energy conversion systems. His work bridges fundamental electrochemistry with industrial applications in energy storage and conversion technologies. Leonide's publication record demonstrates consistent contributions to electrochemical energy systems, with emphasis on impedance spectroscopy applications, degradation mechanisms in fuel cells, and novel energy storage architectures. His research shows strong interdisciplinary connections between materials science, electrical engineering, and sustainable energy systems. Hermann Göhr Best Paper & Presentation Award (2012) Christian Friedrich Schönbein Contribution to Science Medal (2010) Friedrich and Elisabeth Boysen Foundation Research Prize (2010) As an active researcher and educator, Leonide leads projects in DC industrial networks and high-temperature electrochemical systems. His work includes significant contributions to EU-funded energy research initiatives and industrial consulting in energy technology assessment. He maintains strong industry-academia connections through collaborative projects and invited keynote presentations at major international conferences.

Mohammad Jafariمشاهده پروفایل

دانشیار

• Robotics
• Machine Learning
• Control Theory
• +۳ مورد دیگر

Mohammad Jafari serves as an Associate Professor of Robotics Engineering in the Department of Earth and Space Sciences, College of Letters and Sciences, at Columbus State University since August 2021. His academic credentials include: Ph.D. in Electrical Engineering, University of Nevada, Reno (2018) M.S. in Computer Science and Engineering, University of Nevada, Reno (2015) M.S. in Mechatronics Engineering, Iran (2012) B.S. in Computer Hardware Engineering, Iran (2007) His research centers on real-time learning-based control systems with applications across diverse domains. Key focus areas: Machine Learning for Control Theory Multi-Agent Systems and Formation Control Biologically-inspired Control (including BELBIC) Robotics for Microgrids and Biological Systems His 2025 publications reveal a cohesive theme of applying machine learning to robust control challenges, spanning bioengineering cell migration control, thermoacoustic oscillation management, and agricultural meteorology applications. No scientific awards are documented in available materials. He mentors graduate researchers including Logan, who successfully defended a thesis on Physics-Informed Neural Networks for rocket engine modeling in December 2024. Dr. Jafari actively contributes to academic service through conference judging and presentations at Columbus State University's 2025 Tower Day Conference. Prior research at the University of Nevada's Intelligent Autonomous Systems Lab informs his current robotics engineering program at Columbus State, though specific lab structures are not detailed.

Bernd Möllerمشاهده پروفایل

استاد

• Renewable Energy Systems
• Geographical Information Systems
• Energy Planning
• +۶ مورد دیگر

Prof. Dr. Bernd Möller is a full-time Professor for Sustainable Energy Systems Management in Developing Countries at the European University Flensburg, affiliated with the Department of Energy and Environmental Management. His academic background includes energy engineering studies at Flensburg University of Applied Sciences and a PhD in Energy Planning from Aalborg University, Denmark. His research focuses on: Renewable energy systems (wind, solar, biomass) Geographical aspects of sustainable energy planning GIS-based energy infrastructure modeling Offshore wind economics and spatial analysis Energy atlas development for system transformation Möller's publications consistently address renewable energy integration, district heating optimization, wind power deployment, and spatial planning methodologies. Key thematic trends include GIS-based energy system modeling, socio-economic aspects of energy transitions, and decarbonization strategies for both European and developing contexts. He leads the PhD programme in Energy and Environmental Management for Developing Countries and maintains affiliations with the Sustainable Energy Planning Research Group (Aalborg University) and Samsoe Energy Academy, Denmark.

Mutsumi Aokiمشاهده پروفایل

دانشیار

• Power Systems
• Power Quality Management
• Voltage and Reactive Power Control
• +۵ مورد دیگر

Mutsumi Aoki is an Associate Professor at Nagoya Institute of Technology, specializing in electrical and electronic engineering within the Department of Electrical and Mechanical Engineering. She leads research in power systems, particularly focusing on voltage control, protection systems, and power quality management in modern electrical grids. Her work bridges theoretical research with practical applications in distribution and transmission systems. Educational Background: Doctor of Engineering, Nagoya Institute of Technology (1999) Master's Degree, Nagoya Institute of Technology (1994) Professor Aoki's research interests center around power system stability, protection mechanisms, and the integration of renewable energy sources into existing grid infrastructure. She has pioneered work in applying machine learning techniques to traditional power system challenges, particularly in voltage control and reactive power management. Her research increasingly incorporates AI-driven approaches to enhance grid resilience against faults and disturbances, with a strong emphasis on practical implementation in real-world power systems. Her publication record shows a clear trend toward integrating artificial intelligence with traditional power engineering. Recent work focuses on deep learning applications for voltage estimation, reinforcement learning for multi-timescale control, and regression tree methods for stability assessment. These approaches address the evolving challenges of modern power systems with high renewable penetration and distributed generation. Scientific Awards: 18th Chubu Branch Award, Institute of Electrical Installation Engineers of Japan (2021) 30th Institute of Electrical Installation Engineers Award, Academic Division (2019) 25th Institute of Electrical Installation Engineers Award, Academic Division (2014) IEEJ Tokai Section Outstanding Paper Presentation Award (2013) Professor Aoki actively supervises graduate students and has secured competitive research funding, including the KAKENHI grant 'Construction of Protection Systems for Flexible Distribution Systems' (2021-2024). She serves on multiple technical committees related to power system monitoring, protection relay systems, and digital transformation in the energy sector. Her laboratory focuses on practical implementations of advanced control systems for power quality improvement and grid stability enhancement, with strong industry collaboration.

Colin Coatesمشاهده پروفایل

مدرس ارشد

• Electric Drives
• Low Voltage Distributed Generation
• Small Scale Wind Turbines
• +۲ مورد دیگر

Colin Coates is Senior Lecturer in Electrical and Computer Engineering at the University of Newcastle's School of Engineering. His research focuses on power electronics, electric drives, and renewable energy integration. Research areas include: DC-DC and AC-DC power conversion systems Control strategies for power converters Microgrid design and energy management Renewable energy systems integration Electric vehicle power systems Recent publications demonstrate strong focus on converter control algorithms (65%), renewable energy systems (25%), and electric transport applications (10%). His work frequently addresses practical implementation challenges in power electronics. Teaching responsibilities include courses on electronics design, power electronics, and renewable energy systems.

Nicholas Etherdenمشاهده پروفایل

مدرس

• Energy Systems
• Renewable Energy Integration
• Power Distribution Networks
• +۳ مورد دیگر

Nicholas Etherden is a Lecturer at the University of Gävle, focusing on energy systems and renewable energy integration. He holds a Master of Science in Engineering Physics from Uppsala University and a PhD in Electrical Power from Luleå University of Technology. His research emphasizes smart grids, distribution networks, and renewable energy integration challenges. Research interests include hosting capacity assessment for photovoltaic systems, grid flexibility coordination, and voltage management in distribution networks. He has contributed to projects on TSO-DSO-customer collaboration frameworks and stochastic modeling of renewable energy impacts. Key publications explore solar PV integration limits, electric vehicle charging strategies, and IEC 61850-based grid solutions. His work bridges theoretical analysis with practical grid infrastructure improvements, addressing challenges in modernizing energy systems. Notable collaborations involve coordination mechanisms for flexibility markets and probabilistic load flow analyses. Current research trends focus on real-time monitoring systems and uncertainty quantification in grid planning. Labs/Teams: Involved in smart grid research platforms at Gävle, collaborating with industry partners on grid modernization projects.

Tong Wuمشاهده پروفایل

استادیار

• Reinforcement Learning
• Graph Signal Processing
• Graph Neural Networks
• +۵ مورد دیگر

Tong Wu is a tenure-track Assistant Professor in the Department of Electrical and Computer Engineering (ECE) at the University of Central Florida (UCF). He received his Ph.D. in Information Engineering from The Chinese University of Hong Kong in 2021 and served as a Postdoctoral Associate at Cornell Tech, Cornell University from 2021-2024. He leads the Intelligent Control and Sustainable Energy Systems (ICSES) Lab at UCF, focusing on advanced control systems for sustainable energy applications. Research Interests: Dr. Wu's research spans several interconnected areas of electrical engineering and computer science, with particular emphasis on: Safe reinforcement learning for critical infrastructure systems Graph signal processing and neural network applications in power grids Distributed optimization techniques for smart grids Machine learning approaches for energy system security and stability Privacy-preserving methods for power system operations Publication Trends: His recent publications demonstrate a strong focus on applying machine learning techniques to power systems challenges. Key themes include reinforcement learning for grid control and optimization, graph neural networks for spatiotemporal power system data, privacy-preserving computation in distributed energy systems, and advanced control strategies for electric vehicle integration. His work consistently bridges theoretical AI advancements with practical power engineering applications. Professional Activities: Dr. Wu actively contributes to the academic community through journal and conference reviews for prestigious publications including: IEEE Transactions on Power Systems IEEE Transactions on Smart Grid IEEE Transactions on Signal Processing IEEE Internet of Things Journal IEEE PES General Meeting IEEE Conference on Decision and Control

Erik Steurمشاهده پروفایل

استادیار

• Network Dynamics
• Nonlinear Systems
• Synchronization
• +۴ مورد دیگر

Erik Steur is an Assistant Professor at the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e). He holds roles as a Core member of the ICMS (Institute for Complex Molecular Systems) and Foundational member of EAISI (Eindhoven Artificial Intelligence Systems Institute). His research focuses on collective dynamics in networked systems, cluster synchronization, pattern generation, and chemical reaction network modeling. He has held positions at TU/e, Delft University of Technology, and KU Leuven, contributing to academic leadership in areas like the 'Grip on Complexity' pillar. Education: M.Sc. (cum laude) in Mechanical Engineering, TU/e (2007) Ph.D. in Mechanical Engineering, TU/e (2011) Research Interests: Steur’s work spans nonlinear systems, control theory, and synchronization phenomena. His projects integrate experimental and computational methods, with applications in microfluidics, neuromorphic systems, and energy networks. Recent studies include artificial cilia-driven fluid mixing and synchronization in time-delayed coupled systems. Articles Trends: Recent publications emphasize synchronization in networked systems, biomimetic actuators, and energy management. Key topics include magnetic artificial cilia for fluid transport, distributed control strategies, and hybrid neuromorphic controllers. Achievements: He serves as an Associate Editor for Systems and Control Letters and advises Communications in Nonlinear Science . Supervised 24 academic works, contributing to TU/e’s educational programs in networked systems and dynamics. Labs/Teams: Active in TU/e’s Mechanical Engineering labs, leading ICMS initiatives on complex systems and collaborating internationally on control systems research.

Jay Tanejaمشاهده پروفایل

دانشیار

• Infrastructure Measurement and Analytics
• IoT and Embedded Systems
• Machine Learning Applications
• +۴ مورد دیگر

Jay Taneja is an Associate Professor in the Department of Computer Science at the Manning College of Information and Computer Sciences, University of Massachusetts Amherst. He holds an adjunct appointment in the Electrical and Computer Engineering Department. His research focuses on applying computing tools like IoT, machine learning, and remote sensing to measure and improve infrastructure systems in both developed and developing regions, including energy grids, transportation, water, and sanitation. Dr. Taneja leads the STIMA Lab, which explores innovative solutions for infrastructure challenges through interdisciplinary projects such as predicting electricity consumption growth in low-income communities, enhancing grid reliability via smartphone-based sensing, and using satellite imagery to assess road quality. He has advised over 30 students, including PhD candidates and undergraduates, and collaborates with institutions like Columbia University and the University of Washington. His work has been published in top venues like BuildSys, IEEE SmartGridComm, and Applied Energy. Notable contributions include developing frameworks for subsidy estimation in rural electrification and detecting power outages using crowdsourced data. Awards include the Best Paper Runner-Up at BuildSys 2023 and recognition for innovative sensor network designs. Taneja earned his PhD and MS in Computer Science from UC Berkeley and a BS in Electrical & Computer Engineering from The Ohio State University. He teaches courses on decarbonization, energy networks, and engineering fundamentals.

Jifeng Pengمشاهده پروفایل

استاد

• Computational Fluid Dynamics (CFD)
• Propulsion Systems
• Wind Energy
• +۹ مورد دیگر

Jifeng Peng is a Professor and Chair of Mechanical Engineering at the University of Alaska. He holds a Ph.D. in Bioengineering (specialty: fluid mechanics) from the California Institute of Technology (2009), an M.S. in Mechanical Engineering from Stony Brook University (2004), and a B.S. in Mechanical Engineering from the University of Science & Technology of China (2002). His research focuses on computational fluid dynamics (CFD), propulsion systems, renewable energy (wind/hydro), microgrid integration, environmental transport, and fluid-structure interactions, with applications to marine structures and oil spill modeling. He has secured over $2.2 million in research grants as PI/Co-PI, including projects on Arctic ice condition modeling (DHS, $195K), Arctic oil spill simulations (Co-PI, $100K), and wind farm integration in Alaska (Moore Foundation, $1.3M). His work bridges fluid dynamics theory with engineering applications in energy systems and environmental hazards. Teaching responsibilities include courses on thermodynamics, fluid mechanics, renewable energy systems, and engineering computation. He serves as a reviewer for journals like Journal of Fluid Mechanics , Physics of Fluids , and International Journal of Heat and Fluid Flow .

Wen Liuمشاهده پروفایل

استادیار

• Geothermal Energy
• Thermal Energy Storage
• Renewable Integration
• +۲ مورد دیگر

Wen Liu is an Assistant Professor at Utrecht University's Copernicus Institute of Sustainable Development in the Energy & Resources group. Her research develops methodologies for integrated assessment of geo-resources, focusing on geothermal systems and thermal storage for sustainable heating transitions. Liu specializes in techno-economic-environmental analysis of seasonal thermal storage, solar heating integration, and decarbonization pathways for district heating. Her work examines underground thermal applications in built environments and develops optimization strategies for low-carbon energy systems under uncertainty. As Assistant Editor for the journal Energy, she contributes to scholarly communication in energy research. Liu coordinates the master's course 'Energy in the Context of Sustainability' and supervises student research on renewable integration challenges.

Simon Wrightمشاهده پروفایل

پژوهشگر ارشد

• Sustainability Transitions
• Renewable Energy
• Circular Economy
• +۴ مورد دیگر

Simon Wright is a Senior Research Fellow in Energy and Circularity at the Gulbali Research Institute. With 20 years of experience across academia, industry, and consultancy, his work focuses on sustainability transitions, particularly accelerating renewable energy adoption and circular economy implementation. He holds a PhD in Sustainable Futures from the University of Technology Sydney (2020), specializing in government roles in sustainability transitions. Research interests include regional energy transitions, renewable energy in agriculture, microgrids, and circular economy measurement. His work aligns with UN SDGs related to affordable clean energy and climate action. Key projects include studies on Australian microgrids' complexity and coal region transitions to clean energy. He has contributed to 18 research outputs since 2013 and actively engages in media discussions on energy policy and electricity pricing. Collaborations span academic and government sectors, with recent peer-review roles at the International Association for Impact Assessment. Simon’s research emphasizes community engagement in energy transitions and policy feasibility, as seen in his 2024 article on Australian microgrids and 2025 report on coal region transitions. His work highlights the interplay between government policy, business models, and community needs in achieving net-zero goals.

Alejandro Dominguez-Garciaمشاهده پروفایل

استاد

• Microgrids
• Grid Data Analytics
• Reliability Analysis
• +۴ مورد دیگر

Alejandro Domínguez-García is a M. Stanley Helm Professor in Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign, affiliated with the Grainger College of Engineering. He holds a Ph.D. in Electrical Engineering and Computer Science from MIT (2007). His research focuses on microgrids, grid data analytics, reliability analysis, and power systems resilience, with emphasis on renewable energy integration and distributed control architectures. Education: Ph.D. in Electrical Engineering and Computer Science from MIT (2007). Research Interests: His work spans microgrid design, distributed energy resource coordination, and uncertainty analysis in power systems. He develops mathematical frameworks for quantifying system reliability under variable renewable generation and cyber-physical threats. Publications: Over 100 journal and conference articles, including recent work on trustworthy distributed consensus algorithms, inverter-based grid models, and privacy-preserving coordination of energy resources. His 2022 textbook Large-Scale System Analysis Under Uncertainty provides foundational tools for analyzing complex engineered systems. Awards: Elected IEEE Fellow (2023) for contributions to distributed control and uncertainty analysis of electrical energy systems. Teaching: Courses include ECE 476 (Power System Analysis), ECE 554 (Dynamic System Reliability), and graduate-level large-scale system analysis. Labs & Teams: Active in the Coordinated Science Laboratory and Grainger Center for Electric Machinery and Electromechanics (CEME). Leads research groups advancing resilient power systems and smart grid technologies.