جست‌وجوی استاد و پژوهشگر

• Microgrid Engineering
• DC Microgrid Engineering
• Battery Energy Storage
• +۵ مورد دیگر

Elahe Doroudchi serves as a Visiting Faculty member in the Department of Electrical Engineering and Automation at Aalto University. Her academic journey culminated with a Doctoral degree in Engineering and Technology from Aalto University, awarded on September 27, 2018. Dr. Doroudchi's research spans multiple critical areas in sustainable energy systems, with particular emphasis on microgrid technologies and energy-efficient building solutions. Her fingerprint analysis reveals strong expertise in Microgrid Engineering (100%), DC Microgrid Engineering (81%), Battery Energy Storage (81%), and Energy Systems Engineering (77%). Additional research interests include Residential Building Engineering (66%), Net Zero Energy Building design (60%), Energy Management Systems (48%), and Thermal Energy Storage (45%). Her research trajectory shows consistent contributions to the field of sustainable power systems, with publications spanning from 2015 to 2025. The publication pattern demonstrates her evolving focus from foundational microgrid research toward integrated energy solutions that combine building systems, electric vehicles, and grid management. Her work frequently addresses practical implementation challenges, as evidenced by hardware-in-the-loop testing methodologies and real-world case studies. Dr. Doroudchi has made significant contributions to conference proceedings, including serving as Program Chair for IEEE PES ISGT Europe 2021, and has published in high-impact journals such as Sustainable Cities and Society. Her 2018 article on net zero energy housing through integrated EVs has received substantial academic attention with 73 Scopus citations, indicating meaningful impact in the field.

• Artificial Intelligence
• Internet of Things
• Machine Learning
• +۱۲ مورد دیگر

Dr. Tabbasum Naz is a Research Fellow at the Strathclyde Institute of Pharmacy and Biomedical Sciences , University of Strathclyde, United Kingdom. Her work bridges Artificial Intelligence , Internet of Things , and Health Informatics to advance pharmaceutical and biomedical research. Expertise : Ontology engineering, AI/ML for healthcare, sustainable manufacturing Collaborations : International partnerships in pharmaceutical data analytics SDG Contributions : Focused on sustainable medicines (SDG 3, 12) Her research emphasizes digital design for pharmaceutical quality, bio-inspired optimization in energy systems, and semantic frameworks for maternal health diagnostics. Recent publications highlight applications of AI in drug interaction modeling and IoT-enabled diabetes prediction. Contact: tabbasum.naz@strath.ac.uk

James Flemingمشاهده پروفایل

مدرس ارشد

• Model Predictive Control
• Embedded Machine Learning
• Automotive Engineering
• +۳ مورد دیگر

Dr. James Fleming is a Senior Lecturer in the Control Systems Group at the Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University. He specializes in Model Predictive Control (MPC) and embedded machine learning, with applications in automotive safety systems, renewable energy, and sustainable transportation. His research focuses on optimizing energy systems, improving vehicle safety, and advancing control algorithms for smart grids and wind turbines. Education : MEng Engineering Science (University of Oxford, 2012) DPhil Engineering Science (University of Oxford, 2016) Research Interests : Dr. Fleming’s work spans advanced driver assistance systems (ADAS), eco-driving optimization, and the integration of renewable energy sources. He also explores machine learning applications in friction estimation and vehicle dynamics. His research aims to enhance energy efficiency, safety, and sustainability in transportation and power systems. Awards : Fellow of the UK Higher Education Academy Advising & Grants : While no advisees are listed, his research has been supported by collaborations with Jaguar Land Rover and projects like the G-Active initiative. He has contributed to developing eco-driving assistance systems and energy management frameworks. Labs & Teams : Active member of the Control Systems Group at Loughborough University, focusing on interdisciplinary projects in control engineering and renewable energy systems.

• Energy Management
• Microgrids
• Battery Degradation
• +۳ مورد دیگر

Javaria Abdur Rehman is a Doctoral Researcher focused on energy systems and policy. Their work addresses challenges in microgrid energy management and Pakistan's energy crisis. Research emphasizes battery degradation modeling, sustainable power solutions, and policy interventions. Education and institutional affiliations are not explicitly stated in the provided information. No scientific awards or grants are documented here. Their research outputs span technical control systems and socio-economic energy policy analysis.

Roald Lineمشاهده پروفایل

دانشیار

• Power Systems Optimization
• Renewable Energy Integration
• Carbon Emissions Reduction
• +۳ مورد دیگر

Roald Line is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Wisconsin–Madison. He holds affiliations with the Nelson Institute for Environmental Studies and the Center for Climatic Research. His research focuses on optimizing power systems for resilience, decarbonization, and wildfire risk mitigation. He develops advanced mathematical frameworks and machine learning models to address challenges in grid operations under uncertainty. Key research areas include stochastic optimization for power systems, renewable energy integration, carbon-aware grid management, and geospatial wildfire risk modeling. He has pioneered frameworks for carbon intensity analysis (e.g., Electricityemissions.jl), grid topology optimization, and real-time security assessment systems. His work bridges theoretical advancements with practical implementations in smart grids and energy markets. Recent contributions emphasize wildfire risk mitigation through optimal power shutoff strategies, hydrogen electrolyzer scheduling, and resilient microgrid design. His publications frequently appear in top energy systems journals and conferences, demonstrating impactful interdisciplinary work at the intersection of electrical engineering, environmental science, and operations research.

• Energy network resilience and reliability
• Climate change adaptation and mitigation in energy systems
• Intelligent control of distributed energy resources (DER)
• +۹ مورد دیگر

Dr. Spyros Skarvelis-Kazakos is an Associate Professor in Electrical Engineering at the University of Sussex , leading the Critical Infrastructure Resilience Network (CIReN) and managing the Power Systems and Smart Grid sections of the Energy Dynamics Laboratory. He has held academic positions at the University of Sussex (since 2015) and previously at the University of Greenwich (2012–2015). His research focuses on energy network resilience, distributed energy resources (DER) control, multiple energy carriers, and artificial intelligence in smart grids.

• Microgrid
• Power Electronics
• Renewable Energy
• +۳ مورد دیگر

Dr. Mahmoud Shahbazi is an Associate Professor and Deputy Director of Research in the Department of Engineering at Durham University. He holds a PhD in Electrical Engineering from Université de Lorraine, France (2012), and has held prior roles as a lecturer at Azad University and a postdoctoral researcher at Sharif University of Technology. His research focuses on modern energy systems reliability, fault-tolerant control, renewable energy integration, and power system optimization. He has secured over £14M in research funding, leading projects such as the EPSRC-funded VPP-WARD (£1.84M) and ROADsTER (£230K). His work emphasizes hybrid AC/DC grids, microgrid control, and renewable energy resilience. Education: PhD in Electrical Engineering (Université de Lorraine, 2012) Grants: £6M EPSRC Centre for Doctoral Training in Offshore Wind Energy and Environment Research Interests: Microgrid operation, power electronics innovation, renewable integration strategies, and fault-tolerant systems. He explores advanced control methodologies for smart grids and energy resilience under dynamic conditions. Grant Portfolio: Key projects include optimizing offshore wind energy systems and developing AI-driven microgrid control for decarbonization. His funding includes EPSRC and NERC collaborations. Students: Supervising six research postgraduates in the Electrical Power Node. Expertise bridges theoretical models and practical implementation, with contributions to converter design, grid optimization, and renewable energy systems.

Mato Baotićمشاهده پروفایل

استاد

• Control Systems
• Model Predictive Control
• Renewable Energy Systems
• +۵ مورد دیگر

Prof. Mato Baotić is a Full Professor and Head of the Department of Control and Computer Engineering at the University of Zagreb's Faculty of Electrical Engineering and Computing (FER). His research focuses on advanced control systems, model predictive control (MPC), renewable energy systems, and power engineering. He leads projects in distributed power systems, microgrid control, wind turbine optimization, and mechatronics. His work integrates theoretical advancements with practical applications in energy efficiency, robotics, and smart grids. Key research areas include MPC for wind turbines, grid reconfiguration, and omnidirectional mechatronic systems. He has contributed to the LARES laboratory for renewable energy systems and collaborates on international projects like DYMASOS and MICROGRID. His publications span control algorithms, grid optimization, and energy storage solutions. Prof. Baotić teaches courses on control systems synthesis, predictive control, and automatic control. He advises numerous research initiatives and oversees labs developing systems for energy and robotics applications.

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

Mehrdad Pirnia is a Continuing Lecturer in the Department of Management Science and Engineering at the University of Waterloo. His research focuses on power systems, renewable energy integration, microgrid optimization, and stochastic modeling. He holds an academic appointment in the Faculty of Engineering. His work emphasizes energy management systems, optimal power flow solutions, and the application of advanced mathematical techniques like affine arithmetic and stochastic optimization. Key research areas include hybrid AC-DC grids, low-emission microgrids for remote communities, and privacy-preserving frameworks for multi-microgrid networks. He has contributed to understanding the impacts of distributed energy storage, renewable integration challenges, and pandemic effects on electricity markets. Notable projects involve geographic information-based optimization for multi-microgrid planning, constraint-guided neural networks for power flow solutions, and analyzing nonconvex market dynamics. His studies often bridge theoretical models with real-world applications in Canadian contexts, such as northern electrification and hydrogen feasibility assessments. Pirnia's publications span over a decade, addressing topics from transmission line constraints to policy implications of feed-in-tariffs. His research consistently integrates technical innovation with socio-economic considerations, aiming to enhance grid resilience and sustainability.

Irina Ciorneiمشاهده پروفایل

پژوهشگر ارشد

• Smart Grids
• Electrical Engineering
• Cybersecurity
• +۳ مورد دیگر

Irina Ciornei is a Senior Research Fellow at the University of Cyprus, affiliated with the KIOS Research and Innovation Center of Excellence since March 2020. She holds a PhD in Electrical Engineering (2012) from the University of Cyprus and a joint MSc in Energy and Environment (2003) from the Technical University of Iasi and the University of Poitiers. Her research focuses on smart grid applications, including optimal operation of AC/DC hybrid grids, microgrid control, and cybersecurity solutions. She has contributed to projects like Smart5Grid, ELECTRON, and HYNET, and has authored over 40 peer-reviewed publications. Expert Evaluator for the European Commission Delegate Expert for IEC (Power Quality) Her work integrates advanced ICT technologies in energy systems, with notable contributions to EU-funded initiatives such as the Marie Curie Fellowship (2016) at Politehnica University of Bucharest and Aalborg University. She has been involved in national/EU projects including ZeroCo2, CIPRNet, and leads cybersecurity research within the KIOS CoE.

Eleni Tekkiمشاهده پروفایل

پژوهشگر

• Power Systems
• Smart Grids
• Renewable Energy Integration
• +۲ مورد دیگر

Eleni Tekki is a Research Engineer II at the University of Cyprus, affiliated with the KIOS Research and Innovation Center of Excellence. She holds a BSc in Mechanical Engineering (2018) and an MSc in Mechatronics and Automation (2020). Education: BSc in Mechanical Engineering, University of Cyprus (2018) MSc in Mechatronics and Automation, Strathclyde University (2020) Research Interests: Eleni focuses on advanced research in power systems, particularly smart grids, multifunctional inverters for renewable energy systems, and cybersecurity in power substations. Her work involves designing software tools for innovative solutions and participating in projects addressing grid protection, virtual synchronous generators, and cyber threats. Recent Publications: Her articles analyze cybersecurity in power systems, prioritization of ancillary services in renewable energy inverters, and sandboxing methodologies for grid control. These works span topics in electrical engineering, grid stability, and cyber-physical threat modeling. Projects: Eleni is engaged in projects related to cyber attacks on active distribution grids, microgrids, and coordinated overcurrent protection schemes. Her contributions include software tool development and simulation of security threats.

Ziang Zhangمشاهده پروفایل

دانشیار

• Power Systems
• Energy Storage Systems
• Microgrids
• +۳ مورد دیگر

Ziang Zhang is an Associate Professor in the Department of Electrical and Computer Engineering at Binghamton University. His research focuses on complex energy systems, bridging power systems and nonlinear complex networks using control theory, graph theory, and optimization. Key areas include power system stability, energy storage integration, and real-time hardware-in-the-loop (HIL) simulations. He holds a BS from Beijing Institute of Technology, an MS from Purdue University, and a PhD from North Carolina State University, with postdoctoral experience at ABB US Corporate Research. His research emphasizes enhancing grid resilience through advanced algorithms and machine learning. Notable projects include a $1.2 million NSF grant to assess power grid stability with increased renewables. He leads a lab offering PhD opportunities in control theory and nonlinear systems, with applications in power grid stability and inverter design. Publications span topics like transient stability analysis, solar forecasting, and battery energy storage optimization. His work integrates theoretical frameworks with practical applications, addressing challenges in modern grid operations and renewable integration.

Sandro Zampieriمشاهده پروفایل

استاد

• Networked Control Systems
• Smart Grids
• Distributed Control and Estimation
• +۴ مورد دیگر

Sandro Zampieri is a Professor at the Department of Information Engineering, University of Padova, Italy. His academic career has been dedicated to networked control systems, distributed control and estimation, and smart grids, with a focus on communication constraints, quantized feedback, and optimal reactive power flow in power distribution networks. Education: Laurea in Electrical Engineering (1988) and Ph.D. in System Engineering (1993) from University of Padova Visiting Positions: MIT (1991-1992, 1993, 1996), University of Groningen (Mathematics), University of California at Santa Barbara (Mechanical Engineering) Research Interests: His work explores control systems under communication constraints, consensus algorithms for distributed estimation, and optimal reactive power flow in smart microgrids. He investigates trade-offs between data rates and control performance, develops consensus-based synchronization protocols, and designs distributed strategies for power loss minimization and voltage regulation. Scientific Contributions: He has published over 150 papers and received the 2016 IEEE Transactions on Control of Network Systems Best Paper Award His recent work analyzes network centrality in controllability, Shannon capacity in dynamical networks, and non-normality effects in communication efficiency. Academic Leadership: He served as Head of the Department of Information Engineering (2014-2018) Chair of IFAC technical committee 'Networked systems' (2005-2008) Associate Editor for SIAM Journal on Control and Optimization (2002-2004) and IEEE Transactions on Automatic Control (2012-2014)

Chenghong Guمشاهده پروفایل

استاد

• Smart Energy Systems
• Energy Market Design
• Climate Change Resilience
• +۳ مورد دیگر

Dr. Chenghong Gu is a Professor in Smart Energy Systems at the University of Bath, affiliated with the Department of Electronic & Electrical Engineering. He leads research in multi-vector energy systems, resilience under climate change, and energy market design. As Co-Editor-in-Chief of IET Smart Grid and Associate Editor for IEEE Transactions on Power Systems, he contributes to advancing energy research standards. PhD: Electronic & Electrical Engineering (2010, supervised by Prof. F. Li) Research focuses on developing data-driven optimization models for smart grids, enhancing grid resilience against extreme weather, and designing local energy markets. His work addresses energy transition challenges, integrating renewables and low-carbon technologies. Key projects include the Supergen Energy Networks Hub and Zero Emission Local Energy Communities (ZELEC). Recent articles emphasize peer-to-peer trading, cybersecurity, and machine learning applications. He collaborates internationally, contributing to UN Sustainable Development Goals (SDGs) related to climate action and affordable clean energy.

• Control Systems
• IoT and Smart Grids
• Renewable Energy Systems
• +۳ مورد دیگر

Seyed Amir Alavi is a Teaching Fellow at the School of Electronic Engineering and Computer Science, Queen Mary University of London. His research focuses on control systems, IoT integration in energy grids, and fractional-order control methodologies. He specializes in microgrid design, distributed control strategies, and state estimation techniques for smart energy systems. His work addresses challenges in renewable energy integration, delay compensation in power systems, and battery health monitoring for electric vehicles. Key research areas include: IoT-based distributed control systems for microgrids Advanced control algorithms for DC and AC power systems Quantum computing testbed infrastructure development Application of machine learning in battery diagnostics Resilient communication networks for energy systems Recent publications highlight innovations in: Privacy-preserving IoT data collection methods Event-triggered control for distributed systems Forecast-based consensus control using deep learning No academic awards or grants are explicitly mentioned in the provided materials. His work contributes to both theoretical advancements and practical implementations in smart grid technologies and energy management systems.