جست‌وجوی استاد و پژوهشگر

Saeed Golestanمشاهده پروفایل

دانشیار

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

Saeed Golestan is an Associate Professor at Aalborg University's Faculty of Engineering and Science, specializing in the Electric Power Systems and Microgrids department. He focuses on advanced control strategies for power systems, microgrid stability, and renewable energy integration. His work includes projects like InnoWindFaultRiForm (EU-funded, 2025–2027) addressing fault ride-through solutions in wind power plants, and REMCE (2021–2024) developing renewable energy minigrids in Ethiopia. Key research interests include phase-locked loops, grid-forming control, and AI-driven energy management. He has authored over 120 publications, with recent work exploring quantum computing for load forecasting and neural networks for microgrid optimization. His projects emphasize practical applications in sustainable energy systems and electric vehicle infrastructure. PhD supervision: 1 advisee (details unspecified). Grants: Multiple EU and industry-funded projects totaling €[unknown] in research support. Labs/Teams: Active in interdisciplinary teams at AAU Energy, collaborating with institutions globally on smart grid and renewable energy initiatives.

Michele Albanoمشاهده پروفایل

دانشیار

• Internet of Things (IoT)
• Energy Engineering
• Quality of Service (QoS)
• +۵ مورد دیگر

Affiliations & Roles Michele Albano is an Associate Professor at the Department of Computer Science, Aalborg University, Denmark. He is affiliated with The Technical Faculty of IT and Design, focusing on research in IoT, Cyber-Physical Systems, and Edge Computing. He leads the Productive4.0 project (2017–2020), funded by Horizon Europe, addressing Industry 4.0 challenges in product lifecycle management. His work integrates formal verification tools like Uppaal with real-world applications in robotics, energy systems, and blockchain-based platforms. Research Interests Albano's research spans IoT architecture optimization , energy-efficient systems , and model-driven engineering . He develops tools for autonomous exploration algorithms (MAES), edge-cloud resource orchestration, and fault-tolerant computation offloading. His work bridges theoretical models (e.g., Uppaal SMC) with practical implementations in smart grids and robotic systems. Recent projects include blockchain-based crowdsourcing for machine learning and energy-aware thermal dynamics estimation in buildings. Collaborations & Impact He collaborates with the European Industry 6.0 community, contributing to the Arrowhead Framework for interoperable IoT systems. His research outputs include 112 publications, with 2025 highlights in human-inspired robotics and cognitive cloud frameworks. Media coverage in 2024–2025 highlights his work on green IT and secure API generation. Albano advises students on system modeling (e.g., ACSmt plugin development) and edge computing optimization. Labs & Teams His research group focuses on Cyber-Physical Systems and Smart Grids , with contributions to tools like RoutesMobilityModel and FlexHousing. He actively participates in workshops on New Trends in Software Architecture (SATrends '24) and IEEE conferences on Industrial Informatics.

Matthew A. Shapiroمشاهده پروفایل

استاد

• Northeast Asian Innovation Systems
• Environmental Policy
• Energy Policy
• +۷ مورد دیگر

Matthew A. Shapiro is a Professor of Political Science at Illinois Institute of Technology’s Lewis College of Science and Letters and an Affiliate Professor at the Stuart School of Business. He holds a Ph.D. in Political Economy and Public Policy from the University of Southern California, an M.A. in Economics from the same institution, an M.A. in Korean Studies from Yonsei University, and a B.A. in Political Science from the University of California, San Diego. His research focuses on innovation systems, Northeast Asian transboundary environmental issues, politicized science, and social media’s role in political communication. He has been funded by the NSF, NOAA, and the EPA, among others, and held fellowships at Argonne National Laboratory and the East Asia Institute. Shapiro’s work bridges political science and technology policy, examining topics such as air pollution framing in Northeast Asia, filter bubbles in news recommendation algorithms, and equitable stormwater management in urban areas. His recent projects address energy policy, building electrification, and climate resilience. He has received the Fulbright U.S. Scholar award and the Woojung Scholarship. His teaching spans East Asian political economy, energy policy, and research methods in the social sciences. Key publications include analyses of news algorithm impacts, transboundary air pollution governance, and the Joint Center for Energy Storage Research. Shapiro’s grants and collaborations emphasize interdisciplinary solutions to global challenges like climate change and digital misinformation.

• Renewable Energy Systems
• Power Grid Optimization
• Smart Grid Technologies
• +۳ مورد دیگر

Dr. Inaolaji Adedoyin is an Assistant Professor in the Department of Electrical Engineering at the University at Buffalo (School of Engineering and Applied Sciences). Her research focuses on optimizing renewable energy integration into power grids, particularly through distributed control, smart inverters, and grid reliability enhancement. She holds a PhD in Electrical Engineering from Florida International University (2023), an MS from the same institution (2019), and a BEng from Covenant University, Nigeria (2014). Education: PhD in Electrical Engineering, Florida International University, 2023 MS in Electrical Engineering, Florida International University, 2019 BEng in Electrical and Electronics Engineering, Covenant University, Nigeria, 2014 Research interests revolve around modeling and optimization of power grids with high renewable energy penetration, including distributed control strategies, smart inverter coordination, and electric vehicle integration. Her work addresses challenges such as voltage regulation, grid stability, and reliability in unbalanced distribution systems. Key methodologies involve consensus-based optimization algorithms, ADMM frameworks, and phase-coupled models. Recent articles highlight advancements in 5G-enabled grid testbeds, cellular network delay impacts, and optimal allocation of battery storage. These publications emphasize practical solutions for grid modernization and renewable integration. Her work often bridges theoretical optimization with real-world grid applications. Grants and advising details are not explicitly mentioned in the provided text.

Yulong Huangمشاهده پروفایل

استادیار مدعو

• Magnetic Materials
• Superconductivity
• Nanomaterials
• +۳ مورد دیگر

Yulong Huang is an Adjunct Assistant Professor of Research in the Department of Chemical and Biological Engineering and a Research Scientist in the Department of Mechanical and Aerospace Engineering at the University at Buffalo, State University of New York. His work focuses on advanced materials science, particularly magnetic materials, superconductivity, and nanomaterials with applications in energy, electronics, and biomedical systems. Research interests include molecular conductors, 2D materials, thermal insulation composites, and functional materials for wearable and flexible electronics. He has contributed to breakthroughs in lithium-ion battery technology, magnetic receptor studies, and high-temperature ceramic aerogels. Huang's interdisciplinary approach bridges chemical engineering, mechanical engineering, and applied physics. Key achievements include developing printable copper conductors, proton-controlled ferroelectrics, and pressure-tuned magnetic systems. His lab emphasizes scalable fabrication techniques for next-generation materials with tailored properties for extreme environments.

Xing Liمشاهده پروفایل

استاد

• International Relations
• Globalization and Social Change
• China and International Relations
• +۵ مورد دیگر

Xing Li is a Professor in the Department of Politics and Society at Aalborg University, affiliated with the Faculty of Social Sciences and Humanities. Their research focuses on global political dynamics, particularly China's role in international relations, multi-order world governance, and Arctic peace initiatives. Key projects include the 'Anticipating Governance in the Coming Multi-Order World' (2023-2026) and 'Preserving the Arctic as an International Zone of Peace' (2021-2023). Education details are not explicitly provided in the text, but Li's expertise spans international relations theory, political economy, and development studies. Their research interests integrate themes like globalization, social change, and East Asian regional integration, often addressing contemporary challenges in global governance. Recent research trends include interdisciplinary collaboration between political science and technical fields (e.g., energy systems and materials science), as evidenced by publications on fuel cell diagnostics and battery technologies. These studies highlight innovative applications of data-driven methods in both social and engineering contexts. Li has received the 'Teacher of the Year' award (2020) and has supervised one PhD student, J. Pang. They actively engage in academic activities, including organizing conferences on global south dynamics and multi-order world narratives. Li's work is supported by grants from institutions like the Asia Foundation and has been widely disseminated through media outlets like China Daily and South China Morning Post .

• Energy Transition
• Electricity Markets
• Renewable Energy
• +۱۲ مورد دیگر

Dr. Yashar Ghiassi-Farrokhfal is an Associate Professor at the Rotterdam School of Management (RSM), Erasmus University, in the Department of Technology and Operations Management. He holds key leadership roles as Academic Director of Smart Energy and Sustainability at the Erasmus Center for Data Analytics (ECDA) and as Erasmus University Scientific Lead at the Centre of Energy System Intelligence (CESI). His work bridges academia and policy, contributing significantly to energy transition research and sustainability initiatives. Ph.D., University of Toronto, Canada Dr. Ghiassi-Farrokhfal's research centers on the energy transition, leveraging a multi-disciplinary approach to explore electricity markets, renewable integration, energy storage, hydrogen systems, microgrids, and digital energy data. His recent focus includes the role of data in digital energy transition and market mechanisms at retail, wholesale, peer-to-peer, and bilateral levels. He investigates sector coupling, electric vehicles, and decarbonization strategies to enable sustainable energy systems. His recent publications reveal a strong trend toward modeling and optimizing energy systems for sustainability, particularly in pricing mechanisms, battery market participation, and decision support for heating systems. These works emphasize economic efficiency, environmental impact, and technological integration in modern energy markets. Dr. Ghiassi-Farrokhfal has secured multiple grants for significant projects including FlexSUS (municipal heat transition), MAGPIE (energy transition in ports), HyTROS (hydrogen market), Com2Heat (composite-based heat networks), and MODES (data layer in energy markets). He has supervised academic work and actively organizes conferences and workshops. He is a frequent guest speaker at major forums like the World Energy Congress. He is involved with research labs and centers including the Erasmus Center for Data Analytics (ECDA) and the Centre of Energy System Intelligence (CESI), where interdisciplinary teams work on data-driven energy solutions and intelligent system design for future energy networks.

Debbie Silvester-Deanمشاهده پروفایل

استاد

• Electrochemistry
• Sensors
• Ionic liquids
• +۶ مورد دیگر

Professor Debbie Silvester-Dean is a distinguished academic at Curtin University, holding a position as Professor in the School of Molecular and Life Sciences within the Faculty of Science and Engineering. She earned her MSci from Bristol University (UK) and DPhil from Oxford University (UK), establishing a strong foundation for her research career. Professor Silvester-Dean serves as the secretary for the Electrochemistry division of the Royal Australian Chemical Institute (EDRACI) and represents Australia/New Zealand on the International Society of Electrochemistry (ISE). Her research focuses on electrochemical processes with particular emphasis on sensing applications using room temperature ionic liquids (RTILs). She investigates the electrochemical behavior of toxic gases and explosives in ionic liquids, develops planar electrode devices for sensing applications, creates spill-less gas sensors using gelled ionic liquids, modifies electrode surfaces for enhanced sensing response, and studies hydrogen storage and ion sensing at water|RTIL interfaces. Her work bridges fundamental electrochemistry with practical applications in environmental monitoring and safety. Professor Silvester-Dean's publication record demonstrates a strong trajectory in electroanalytical chemistry, with recent work expanding into energy storage applications while maintaining her core focus on ionic liquid-based sensors. Her research has evolved from fundamental studies of ionic liquid properties to increasingly applied work with commercial potential, particularly in gas sensing and battery technologies. STEM Award and John De Laeter Award for Research Leadership – Curtin University Researcher of the year (2021) Royal Society of Chemistry Analyst Emerging Investigator Lectureship (2021) Le Fèvre medal for research in Chemistry, Australian Academy of Science (2021) Elected Fellow of the Royal Australian Chemical Institute (2020) Rennie Memorial Medal from RACI (2019) ARC Future Fellowship 'Gelled Electrolyte Materials for Toxic Gas Sensing' (2017-22) ARC Discovery Early Career Research Award (2012-2017) Professor Silvester-Dean actively mentors PhD students and postdoctoral researchers, with current projects including toxic gas detection, explosive compound sensing, and hydrogen storage. She has secured substantial research funding including multiple ARC grants and collaborates extensively with researchers both within Curtin University and internationally. Her laboratory utilizes advanced electrochemical techniques combined with materials characterization to develop next-generation sensing technologies.

Pantelis Sopasakisمشاهده پروفایل

مدرس

• Model Predictive Control
• Embedded Numerical Optimization
• Stochastic Optimal Control
• +۵ مورد دیگر

Dr. Pantelis Sopasakis is a Lecturer in the School of Electronics, Electrical Engineering and Computer Science at Queen's University Belfast, Northern Ireland. His research focuses on developing efficient numerical optimization algorithms and model predictive control (MPC) methodologies for uncertain systems, with applications in autonomous vehicles, smart infrastructure networks, and advanced manufacturing. He leads projects on embedded optimization solvers, GPU-accelerated MPC, and stochastic control for systems like water networks and microgrids. His work emphasizes real-time implementation and safety-critical applications in robotics and energy systems. He teaches postgraduate and undergraduate courses in control theory and signals, and is actively involved in supervising PhD students in areas like parallel algorithms and MPC for uncertain systems. Key achievements include the development of the Open-Source Optimization Engine , widely used for embedded MPC. Research interests span distributed embedded intelligence, intelligent uncertain-aware MPC, and biomedical applications of control systems. He collaborates internationally on projects involving risk-averse control, multi-agent systems, and circular economy applications. His interdisciplinary work bridges optimization theory, robotics, and energy systems, with a focus on scalable and real-time solutions. Teaching includes modules on control systems fundamentals and advanced MPC concepts, supported by his textbook Control Systems: An Introduction . Dr. Sopasakis has contributed to over 50 publications, with recent work on conformal prediction for stochastic control, distributed collision avoidance, and thermodynamical material networks. He participates in conferences and editorial activities, and has organized events like the 2025 IEEE UK and Ireland Robotics Conference. His research group is part of the Energy, Power, and Intelligent Systems and Control clusters at Queen's.

• Wind Energy Systems
• Renewable Energy
• Energy Systems Engineering
• +۴ مورد دیگر

Matti Juhani Koivisto is a Senior Researcher at the Department of Wind and Energy Systems at the Technical University of Denmark (DTU). His work focuses on renewable energy systems integration, particularly wind power modeling and analysis within large-scale energy systems. His research expertise spans several critical domains in renewable energy: Wind Energy Systems Engineering (100%) Wind Power Engineering (89%) Variable Renewable Energy Integration (80%) Power Engineering (56%) Time Series Analysis in Energy Systems (37%) Energy Engineering (35%) Dr. Koivisto's research addresses fundamental challenges in renewable energy integration, with particular emphasis on wind power forecasting, variability analysis, and the impacts of climate change on renewable resources. His work bridges theoretical modeling with practical energy system applications, contributing to more reliable and efficient integration of renewable energy sources into power grids. His recent publications demonstrate a strong focus on offshore wind energy, hybrid power plants, and advanced modeling techniques for wind farm generation. His work on increasing the resolution of solar and wind time series has been particularly influential in energy system modeling, addressing critical data requirements for high renewable penetration scenarios. Dr. Koivisto contributes significantly to UN Sustainable Development Goals related to affordable and clean energy (SDG 7) and climate action (SDG 13), with research directly addressing the technical challenges of transitioning to sustainable energy systems. He is actively involved in several major international research projects including AWETRAIN (Airborne Wind Energy Training), DTWO (Federated Digital Twins for Wind-Offshore), and GREAT (GRid Enhancement for Ancillaries in Tomorrow's power systems), where he serves as both project participant and PhD supervisor.

Masoud H. Nazariمشاهده پروفایل

استادیار

• Power Systems
• Grid Optimization
• Resilience Engineering
• +۶ مورد دیگر

Dr. Masoud H. Nazari is an Assistant Professor in the Department of Electrical and Computer Engineering at Wayne State University's College of Engineering. His research focuses on resilience and optimization of modern power systems through applications of stochastic hybrid systems, machine learning, and control theory. He holds leadership positions including Chair of IEEE Smart Buildings, Loads, and Consumer Systems Architecture Subcommittee and serves on IEEE Technology Conferences editorial boards. Education: Ph.D. in Electrical & Computer Engineering/Engineering & Public Policy from Carnegie Mellon University (2012), with visiting research at Massachusetts Institute of Technology. M.S. in Engineering & Public Policy from Carnegie Mellon University (2010). Research Focus: Primary interests include modern power systems resilience, stochastic hybrid systems, large-scale grid optimization, AI-enabled community resilience assessment, cyber-physical systems, and IoT applications in energy management. His work bridges theoretical control systems with practical energy infrastructure challenges. Publication Trends: Recent articles demonstrate strong focus on distributed control systems, resilience engineering in power grids, AI/ML applications for anomaly detection and optimization, and microgrid management. Work frequently addresses communication failures, stochastic variations, and cyber-physical security challenges in energy systems. Awards and Honors: WSU Excellence in Teaching Award (2024) Top 10 Team - ARPA-E Grid Optimization Challenge (2022-23) DTE E-Challenge Winner (2022) IEEE Senior Member (2019) Best Paper Award - North American Power Symposium (2017) Research Leadership: Principal Investigator for NSF AMPS ($200K): Stochastic contingency detection in power systems Co-PI for DOE RACER ($1M): Energy-water nexus resilience planning PI for ARPA-E Grid Optimization Challenge ($400K) Led DTE E-Challenge project developing AI-controlled HVAC systems Research Group: Leads the Modern Power Systems research team with current PhD students Hamid Varmazyari and Antar Kumar Biswas. Former advisees include Dr. Siyu Xie (now Assistant Professor in China) and multiple graduate/undergraduate researchers. The group focuses on control algorithms, resilience analytics, and optimization frameworks for power infrastructure.

• Renewable Energy
• Solar Energy
• Wind Power
• +۴ مورد دیگر

Prof Tariq Muneer is a faculty member at Edinburgh Napier University , affiliated with the School of Computing Engineering and the Built Environment . His research focuses on renewable energy systems , particularly solar PV and wind turbines , with applications in climate change mitigation , energy economics , and sustainable transport . He has supervised numerous postgraduate students and led projects funded by organizations such as the Scottish Government and EPSRC . Research Interests Tariq's work spans renewable energy generation , energy storage , and data-driven performance assessment of wind and solar systems. Key areas include bifacial photovoltaics , urban heat island effects , and electric vehicle infrastructure , emphasizing technical and economic feasibility in real-world contexts like Scottish agriculture and island communities. Recent Publications His 2023 article on solar-wind hybrid systems in Scotland highlights cost-competitiveness with fossil fuels. Earlier works (2020-2022) cover diffuse radiation models , view-factor algorithms , and EV thermal management , reflecting a trend toward hybrid renewable systems and urban sustainability . Articles from 2019 and earlier explore island energy solutions and cement industry emissions . Projects He led projects such as the EPSRC-funded Enerwater (2014-2018) on energy recovery in food processing and the Scottish Government’s LED lighting feasibility study (2012). Other initiatives include renewable integration in Sark Island and decentralized energy solutions for South Asia and sub-Saharan Africa.

Maria Serra Pratمشاهده پروفایل

دانشیار

• Modeling and Control of Complex Systems
• Energy Generation Systems
• Fuel-Cell Systems
• +۷ مورد دیگر

Maria Serra Prat is an Associate Professor in the Automatic Control Department at the Universitat Politècnica de Catalunya (UPC), where she has been a faculty member since 2008. She leads the Automatic Control Group at the Institut de Robòtica i Informàtica Industrial (IRI), a joint research center of UPC and CSIC, focusing on advanced control systems for energy applications. Research Interests: Her work centers on the modeling and control of complex energy systems, with a strong emphasis on fuel-cell technologies and vanadium redox flow batteries. She investigates optimal strategies for hydrogen production, storage, and integration with renewable sources, particularly in transport and grid applications. Her research bridges theoretical control methods with real-world energy system implementation. Recent Research Trends: Her recent publications (2023–2024) reflect a consistent focus on energy storage and conversion systems. Key themes include real-time monitoring of fuel cells, optimal control of hydrogen refueling stations, and advanced strategies for mitigating capacity loss in flow batteries. The work combines nonlinear control theory, system identification, and experimental validation in hybrid energy systems. Scientific Awards: While no specific awards are listed in the provided text, her leadership in national research projects and publication record in high-impact journals indicate significant recognition in her field. Advising and Grants: She supervises PhD research, including Pol Cardona Rubio’s work on optimization-based control of renewable hydrogen systems. She leads the MAFALDA project on vanadium flow battery integration and contributes to the MASHED project on hybrid energy storage management, both national-level initiatives demonstrating sustained grant funding. Labs and Teams: She heads the Automatic Control Group at IRI, a multidisciplinary team engaged in cutting-edge research on energy system automation, control algorithm development, and experimental validation of fuel cell and battery technologies.

Tijs Donkersمشاهده پروفایل

دانشیار

• Control Theory
• Automotive Engineering
• Battery Management Systems
• +۶ مورد دیگر

Tijs Donkers is an Associate Professor in the Control Systems group at the Department of Electrical Engineering , Eindhoven University of Technology. His research focuses on computational control theory for automotive applications, including distributed optimization, battery modeling, and combustion engine control. Academic Background : MSc and PhD (summa cum laude) in Systems and Control from TU/e (2008, 2011) Current Projects : EVERLASTING, LONGRUN, SENSIBAT Research Themes : Networked control systems, event-triggered control, vehicle energy management Recent publications highlight his work in battery state-estimation algorithms , Koopman model predictive control for energy efficiency, and eco-driving strategies for heavy-duty vehicles. His research contributes to UN Sustainable Development Goals related to sustainable transport and renewable energy.

• Control Systems
• Robotics
• Embedded Systems
• +۳ مورد دیگر

Alessandro Papadopoulos is a Professor of Electrical and Computer Engineering at Mälardalen University (MDU) and a QUALIFICA Fellow at the Institute for Software Technology and Software Engineering (ITIS), University of Málaga. He leads the Complex Real-Time Embedded Systems (CORE) research group and serves as Scientific Leader for Applied AI under the AI@MDU initiative. His research focuses on control theory, robotics, and real-time embedded systems, emphasizing interconnected systems and uncertainty management. Education: BSc (2008) and MSc (2010) in Computer Engineering from Politecnico di Milano; PhD (2014) in Information Technology, Systems and Control from the same institution. Postdoctoral fellowships at Lund University’s Department of Automatic Control and Politecnico di Milano’s Dipartimento di Elettronica, Informazione e Bioingegneria. Research interests include control theory applications to computing systems, distributed systems, and AI integration. His work addresses challenges in real-time, embedded, and edge computing. Notable contributions include VR starting grant (2020) and SSF strategic mobility grant (2020), and the Most Influential Paper Award at SEAMS 2025. He has advised PhD students like Anna Friebe and Daniel Bujosa Mateu. Grants and collaborations include projects with ABB industrial automation and leadership roles in conferences (e.g., DEBS 2025 Workshop/Tutorial Chairs). His research group explores autonomous systems, cybersecurity in industrial networks, and cloud manufacturing resilience. Labs/teams: CORE group, collaborating with Prof. Thomas Nolte.