Assoc. Prof. Dr. Kadir Vardar is an Associate Professor at the Department of Electrical and Electronics Engineering, Faculty of Engineering, Dumlupınar University. He has held academic and administrative roles since 2012, including Vice President of Department (2015–2019). His research focuses on power electronics, embedded systems, renewable energy, and neural network applications in control systems. Education: BSc (2001) and MSc (2004) from Dumlupınar University; PhD (2011, English Program) from Dokuz Eylül University. Projects: Over 15 projects, including TÜBİTAK-funded initiatives on smart home automation, PV inverters, and embedded HIL simulators. Awards: 2011 Dokuz Eylül University Doctoral Publication Honor Award; 2001 Department First Place at Dumlupınar University. Research interests span power electronics (inverters, active filters), renewable energy systems (PV), and embedded systems (STM32, microcontrollers). He has published 29 articles and supervised multiple theses. Current courses include Power Electronics, Advanced Microcontrollers, and System Programming.
Leon M. Tolbert is a Chancellor’s Professor and Min H. Kao Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. He holds a PhD in Electrical Engineering from Georgia Tech and has been with the university since 1999. His research focuses on power electronics, microgrids, wide bandgap devices, and renewable energy integration. He is a Fellow of the IEEE and has led initiatives like CURENT, an NSF/DOE Engineering Research Center. Education: BSEE (1989), MSEE (1991), PhD (1999), all from Georgia Tech. Professional roles include former Department Head (2013–2018) and adjunct researcher at Oak Ridge National Laboratory. Research interests span power electronics applications, multilevel converters, electric vehicles, and grid modernization. His work has led to innovations in SiC device utilization and grid stability solutions. Awards include the NSF CAREER Award and multiple university recognitions for teaching and research. Key contributions include over 200 publications, patents on power converter designs, and leadership in IEEE technical committees. His lab develops hardware-in-the-loop systems to emulate grid dynamics and test inverter-based resources.
Karen Butler-Purry is a Professor of Electrical & Computer Engineering at Texas A&M University, holding the Raytheon Company Professorship. She is affiliated with the Power System Automation Laboratory and the College of Engineering. Her research focuses on intelligent systems for power distribution automation, fault diagnosis, and renewable energy integration. She completed her B.S. at Southern University (1985), M.S. at UT Austin (1987), and Ph.D. at Howard University (1994). Her work emphasizes cyber-physical systems, smart grid security, and microgrid resilience. Recent research includes AI-driven grid restoration, cybersecurity frameworks for distribution systems, and self-healing shipboard power systems. She has pioneered methods for transformer lifespan prediction and unbalanced load management in distributed networks. Publications span over three decades, with notable contributions to IEEE journals and conferences. Her educational initiatives include the Texas A&M System AGEP Alliance and LSAMP programs, advancing underrepresented minority participation in STEM academia. She leads interdisciplinary projects at the intersection of power systems, machine learning, and equity-focused academic workforce development. Labs/Teams: Principal Investigator in the Power System Automation Laboratory, collaborating with industry partners like Raytheon. Active in curriculum development for digital systems education through initiatives like the Enrichment Experiences in Engineering (E³) program.
Professor Zhe Chen is a distinguished academic at Aalborg University's Faculty of Engineering and Science, where he leads research in Electric Power Systems and Microgrids within the Intelligent Energy Systems and Flexible Markets department. With an extensive publication record spanning over two decades and more than 1,200 publications, he has established himself as a leading expert in power engineering and renewable energy systems. Professor Chen's research focuses on Wind Turbine Engineering, Power Engineering, Control Strategy, Wind Power Engineering, Energy Engineering, and Reinforcement Learning. His work bridges theoretical advancements with practical applications in smart grid technology and microgrid systems. His research interests center around developing innovative solutions for renewable energy integration, power system stability, and efficient energy management. His recent publications demonstrate a strong trend toward integrating artificial intelligence with traditional power engineering, particularly in applying deep reinforcement learning to power system control, state estimation with noisy data, and optimization of power electronic converters. His work shows increasing focus on carbon emissions optimization, thermal management in power electronics, and the application of advanced neural network architectures to energy systems. MPCE 2023 Best Paper Award for research on reinforcement learning applications in electric vehicles MPCE 2022 Best Paper Award for distribution network optimization MPCE 2021 Best Paper Award for reinforcement learning in energy systems WATAB Best Paper Award 2005 for offshore wind farm research IEEE Fellow recognition for contributions to power electronics and renewable energy systems Professor Chen has supervised 27 PhD students throughout his career, demonstrating his commitment to academic mentorship. His current research is supported by significant grants including the Erasmus+ funded S3SF project (Smart Energy Solutions for a Sustainable Future) and multiple projects focused on machine learning-based stability analysis for multi-energy systems. His collaborative work spans numerous international partnerships, with recent projects involving researchers from China, Europe, and other global institutions. Professor Chen leads a research team focused on intelligent energy systems, working on advanced control strategies for microgrids, power quality analysis, and the integration of renewable energy sources into existing power infrastructure. His team is particularly known for innovative approaches to wind power integration and DC microgrid technologies.
Mehmet BÜYÜK is an Associate Professor at the Department of Electrical and Electronics Engineering, Faculty of Engineering, Adıyaman University. He serves as Vice Dean of the Faculty since August 2023. He holds a PhD from Çukurova University (2019) and has been an IEEE member since 2015. Education: BSc (2007-2012), MSc (2015), PhD (2019) in Electrical and Electronics Engineering from Çukurova University. Professional roles include Research Assistant (2015-2020), Research Lecturer (2020-2022), Assistant Professor (2022-2023), and current Associate Professor status. Research focuses on renewable energy systems, electric vehicles, power electronics converters, and grid integration challenges. Notable projects include wireless power transfer systems, V2G/V2H interfaces, and smart home energy management. Publications emphasize power quality solutions, inverter topologies, and fuel cell applications. Awards include multiple TÜBİTAK incentives and a Wiley Top Cited Article recognition. Active in reviewing for top journals like Renewable and Sustainable Energy Reviews. Current activities include leading the faculty as Vice Dean, supervising student projects, and collaborating on TÜBİTAK-funded research projects addressing renewable energy challenges and emergency power systems.
Dr. Syed M Nawazish Ali is a Research Fellow at RMIT University’s School of Engineering (City Campus, Australia) since July 2022. He has held academic roles at Macquarie University (Casual Academic, 2018–2020) and Aalborg University (Visiting Research Fellow, 2019–2020). His industry experience includes roles at Evenergi Pty Ltd and Magnetica Limited in Australia. Education: B.Sc. in Electrical Engineering, University of Engineering & Technology, Lahore (2013) M.Sc. in Electrical Engineering, COMSATS University, Lahore (2016) Ph.D. in Electrical Engineering, Macquarie University, Sydney (2022) Research Interests: Dr. Ali specializes in data analysis of public transportation electrification, electric vehicle (EV) drive control, battery degradation studies, optimization algorithms for battery health estimation, and grid impact of EV penetration. His work addresses thermal degradation in EV motor drives, fault-tolerant inverter designs, and sustainable integration of renewable energy with transport systems. Article Trends: His recent publications focus on harmonizing EV charging with smart grids, optimizing energy control via Machine Learning and genetic algorithms, and enhancing fault tolerance in power electronics. Key themes include thermal management of motor drives, multi-energy system integration, and decentralized energy trading models. Scientific Awards: Postgraduate Research Fund grant and DVC Research Commendation, Macquarie University (2020) 1st position in oral research presentation at Macquarie University’s Higher Degree Research Conference (2019) International Research Training Program Scholarship (Commonwealth Government-funded) for Ph.D. (2017) Prime Minister’s Laptop Scheme award (2016) Top of FA14-MSEE batch at COMSATS University (2016) KAKEZAI Scholarship at UET Lahore (2011–2013) Supervision & Grants: Available for Masters/PhD supervision in EV control systems. Secured grants including the Commonwealth Government’s International Research Training Program Scholarship and Macquarie University’s Postgraduate Research Fund. Key projects: C4NET Project 66 (Zero Emission Bus Trial) and EV battery degradation control research.
Shuang Xu is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of New Brunswick (UNB). Their research focuses on power electronic converters, microgrids/smart grids, and power system support functions. Xu holds the Associate Emera Chair title, reflecting their expertise in energy systems. Their work emphasizes innovative inverter control strategies, renewable energy integration, and grid stability enhancement. Key research interests include the design of high-efficiency power converters, advanced grid support functions for distributed energy resources (DERs), and modulation techniques for single-phase inverters. Xu's contributions address challenges in voltage/frequency regulation, power decoupling, and efficient energy transfer in renewable systems. Recent publications highlight advancements in vector control strategies, droop-based voltage regulation, and MPPT algorithms for photovoltaic systems. Their work bridges theoretical control algorithms with practical implementation in smart grid applications. Xu actively explores hybrid modulation methods and bidirectional EV charger technologies to improve grid resilience and renewable integration. No scientific awards are explicitly listed. Their research has been supported by studies on distributed energy storage systems and wind energy conversion optimization. Current projects likely involve emerging trends in inverter-based grid support and advanced control methodologies for modern power systems.
Reza Sirjani is a Senior Lecturer in Electrical Engineering at Karlstad University. He has over 15 years of research experience in energy systems optimization, renewable energy, and power electronics. His academic journey includes roles at Cyprus International University (2013-2017) and Eastern Mediterranean University (2017-2022), where he became an Associate Professor and served as Vice Chair of the Department of Electrical and Electronics Engineering (2020-2022). Education: BSc in Electrical Engineering (Power Systems) from Khajeh Nasir Toosi University of Technology, Iran (2006) MSc in Electrical Engineering (Power Systems) from Tehran Science and Research University (2008) PhD in Electrical Engineering from National University of Malaysia (2013) Research interests include renewable energy integration, optimization techniques in energy systems, power electronics, FACTS devices, and smart grids. His work addresses challenges in power quality, energy storage systems, and distributed generation. Current projects: GränsENERGI (2025-2028): Innovative solutions for future energy supply LOKEN (2024-2027): Local Energy Management in Värmland Riskville power system expansion (2023-2024) Teaching: Courses include Electrical Power Systems Technology, Power Electronics, Electric Machines, and Renewable Energy Integration. Collaborations include Glava Energy Center, CSR, and Clear River Racing. Publications: Over 40 peer-reviewed articles focusing on optimization algorithms, energy storage, and renewable integration. Supervised 18 Master/PhD students.
Ahmet Eren serves as a Lecturer at Gaziantep University's Technical Sciences Vocational School within the Electrical and Energy Department since 2019, holding concurrent appointments in both undergraduate and associate degree programs. His academic foundation includes a Doctorate in Electrical and Electronic Engineering from Gaziantep University's Institute of Science (ongoing since 2019), complemented by a Master's degree (2014-2018) and Bachelor's degree (2009-2014) from the same institution's Faculty of Engineering. His educational trajectory is structured as follows: Doctorate (Dr.) in Electrical and Electronic Engineering, Gaziantep University Institute of Science (2019-) Master of Science in Electrical and Electronics Engineering, Gaziantep University Institute of Science (2014-2018) Bachelor of Science in Electrical and Electronics Engineering, Gaziantep University Faculty of Engineering (2009-2014) Research focuses intensely on modern power infrastructure challenges, specializing in Smart Grids, Renewable Energy Systems integration, and advanced Battery Storage Solutions. His work bridges theoretical control strategies with practical implementations for grid stability, evidenced by publications targeting multilevel converters, state-of-charge balancing, and microcontroller-based power quality regulators that address harmonic mitigation and reactive power compensation. Recent publications (2022-2023) reveal a concentrated research thrust toward enhancing grid resilience through battery energy storage systems and power quality devices, with methodologies spanning adaptive control schemes to hardware implementations using ARM Cortex processors. These works consistently target Q1 journals like ISA Transactions and Applied Energy, emphasizing real-world applicability in renewable energy integration scenarios. Three TÜBİTAK-funded national projects underscore his technical leadership: development of fault-tolerant SOC balancing for battery storage (2021-2024), high-density power quality regulators (2021-2024), and SiC-based inverters for renewable applications (2019-2020). These initiatives culminated in an international patent for fault-tolerant state-of-charge balancing methods (WO2024039339A1). Teaching responsibilities encompass Mathematics for undergraduate programs and specialized associate-degree courses including Microcontrollers, Fiber Optic Communications, and Power Systems, reflecting his dual commitment to foundational theory and applied technical education within vocational training frameworks.
Robert Schürhuber serves as a Professor at the Institute of Electrical Systems and Networks (IEAN) at Graz University of Technology, Austria. His research focuses on power system stability, renewable integration challenges, and advanced converter technologies critical for modern grid operations. His primary research areas include Power Systems , Renewable Energy Integration , Grid Stability , and Electrical Safety . He investigates grid-forming/grid-following converter dynamics, fault ride-through capabilities, and transient stability in high-renewable penetration scenarios. His work frequently employs Power Hardware-in-the-Loop (PHIL) methodologies and field measurements to validate theoretical models under real-world conditions. Analysis of his 2024-2025 publications reveals dominant trends in grid-forming converter optimization, short-circuit fault management, and reactive power control strategies. Key thematic clusters include PHIL testing protocols, regional islanding phenomena, and earthing system safety in medium-voltage networks—particularly relevant for DC charging infrastructure and swimming pool environments. Professor Schürhuber leads the IEAN laboratory's Power Hardware-in-the-Loop facility and directs the ProSafE² project focused on periodic verification of DC electric vehicle charging stations. His applied research bridges theoretical power system analysis with practical safety standards for emerging grid technologies.
Vijayanarasimha Hindupur Pakka is a Senior Lecturer in Electrical Power Systems & Smart Grids at De Montfort University, UK, based in the School of Engineering and Sustainable Development within the Faculty of Computing, Engineering and Media. He is affiliated with the Institute of Energy & Sustainable Development (IESD) and the Engineering & Physical Sciences Institute (EPSI), contributing to cutting-edge research in sustainable energy systems and smart grids. Education: PhD in Computer Science, University of Southampton, UK (2005–2009) MSc (Engg) in Electrical Engineering, Indian Institute of Science, Bangalore, India (2002–2004) B.E. in Electrical & Electronics Engineering, Bangalore University, India (1997–2001) PGCertHE, De Montfort University, UK (2016–2017) His research focuses on smart grids, distributed energy integration, microgrid control, voltage regulation, electricity markets, and agent-based modeling. He applies advanced techniques such as machine learning, multi-agent systems, statistical models, and metaheuristics to power system challenges. His teaching includes power system analysis, electrical principles, and power electronics at both undergraduate and postgraduate levels. His recent publications (2022–2024) reflect a strong trend toward intelligent optimization in distribution systems, local energy planning, water quality modeling, and real-time occupancy sensing for energy efficiency. These works span disciplines including electrical engineering, environmental science, and building automation, with a clear emphasis on sustainability, data-driven modeling, and smart infrastructure. Scientific Awards and Recognition: Higher Certificate in Statistics, Royal Statistical Society (2013) Fellow of the Higher Education Academy (FHEA, 2017) Reviewer for EPSRC, Netherlands Organization for Scientific Research, IET, MDPI Energies, and several international journals Vijay Pakka actively supervises MSc and PhD students and has led or contributed to major research grants such as CASCADE, AMEN (EPSRC), and the UKRI-funded CEPREC project. His consultancy includes power and statistical system analysis. He is involved in KTP projects with industry partners like Advanced Infrastructure Technology Ltd and Midas Productions Ltd, focusing on data-driven energy planning and demand optimization. He is a member of IEEE, IET, CIGRE, and the Energy Institute, and regularly presents at international conferences such as CIRED, EEM, and IEEE SmartGridComm. His work bridges technical power systems with socio-economic and behavioral aspects of energy transitions, positioning him at the forefront of interdisciplinary energy research.
Juan Luis Zamora Macho is an Associate Professor in the Department of Electronics and Automation at the School of Engineering, Comillas Pontifical University. He is also a researcher at the Technological Research Institute (IIT), where he has been affiliated since 1991. His academic and research career is deeply rooted in electrical systems, with a focus on control, identification, and signal processing. His research interests include control systems , system identification , signal processing , power electronics , and renewable energy integration . He has made significant contributions to the development of control strategies for dynamic voltage restorers, unified power quality conditioners, and HVDC systems. His work bridges theoretical control design with practical applications in smart grids and industrial automation. The analysis of his recent publications (2018–2023) reveals a sustained focus on power quality improvement , harmonic suppression , and advanced control algorithms (e.g., resonant, repetitive, and multi-reference-frame controllers) applied to power electronics devices. Earlier works emphasize motor control and parameter estimation in induction machines, showcasing a long-term research trajectory in system modeling and real-time control. Director of the Connected Industry Chair Award for the best Final Degree Project 2022-23 Director of the 1st Prize, ICAI Industrial Innovation Association, for the best Final Year Project 2010-11 Juan Luis Zamora Macho has supervised multiple PhD students, including M. Ochoa and J. Roldán-Pérez, and currently advises J. García-Aguilar and D. Cubillo Llanes. He has led numerous research projects funded by public agencies (e.g., Ministry of Science, FEDER) and industry partners such as Siemens Gamesa, Gamesa, and Endesa. His project portfolio includes work on wind turbine integration, HVDC-VSC systems, and smart grid technologies. He has also delivered training courses and organized academic events, demonstrating strong engagement in knowledge transfer and academic leadership. He is actively involved in research teams and laboratories focused on power systems and control at IIT, contributing to both fundamental and applied research in electrical engineering. His collaboration network includes researchers from national and international institutions, reflected in joint publications and technical reports.
Chrysovalantis Spanias is a Research Associate at Cyprus University of Technology and works with the Electricity Authority of Cyprus. He holds a PhD in Electrical Engineering (CUT, 2020) and a Diploma in Electrical & Computer Engineering from the National Technical University of Athens (2010). His research focuses on power system stability analysis, control of non-linear dynamical systems, and SCADA applications. Recent publications develop passivity-based frameworks for stability enhancement in modern grids, proposing novel methods for optimal placement of compensation devices like SVCs to improve damping and dynamic response. Analysis of publications reveals consistent focus on bridging theoretical control frameworks (especially passivity-based approaches) with practical power system challenges. His models incorporate multivariable system dynamics to address stability in renewable-rich grids.
Eric Duviella is a Professor at IMT Nord Europe, specifically within the Department of Automatic Control and Computer Sciences. He has been a permanent faculty member since 2007 and was promoted to full Professor in 2015. His academic affiliations include strong ties with the University of Lille, Universitat Politècnica de Catalunya, and the University of Seville through collaborative research and joint Ph.D. supervision. Education: Diplôme d'Ingénieur, Ecole Nationale d'Ingénieurs de Tarbes (ENIT), 2001 M.S., Institut National Polytechnique de Toulouse (INPT), 2001 Ph.D. in Industrial Systems, Institut National Polytechnique de Toulouse, 2005 HDR (Habilitation à Diriger des Recherches), University of Lille 1, 2014 His research interests center on Reactive Control Strategies , Supervision and Prognosis , and the Modeling of Large-Scale and Environmental Systems , particularly Hydrographical and Water Systems . His work aims at predictive maintenance, adaptive management under climate change, and improving navigation and water quality through advanced control techniques. The 15 most recent publications reflect a strong trend toward Model Predictive Control (MPC) , distributed and decentralized control architectures , leak detection in water networks , and resilience of inland waterways under climate stress . Keywords across these works include control engineering, water systems, fault diagnosis, and data-driven modeling, indicating a multidisciplinary approach combining automation, environmental science, and computational intelligence. Scientific Awards: Best paper award at CODIT 2017 Eric Duviella has actively supervised numerous Ph.D. and Master’s students from institutions including IMT Lille Douai, Universitat Politècnica de Catalunya, and the University of Seville. He has led significant research grants such as GEPET-Eau, CHEEF2, and CASTR-Eau, focusing on sustainable water management, hydropower optimization, and robotic monitoring. His work often involves partnerships with agencies like VNF, EDF, and local water authorities. He is involved in key research labs and teams including the Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), and collaborates internationally through mobility programs with UPC and the University of Seville. His leadership in organizing special sessions at major conferences (e.g., IFAC, HIC) underscores his role in shaping discourse in water system control and supervision.
Holger Wrede is a Professor in Electrical Power Engineering at the Düsseldorf University of Applied Sciences since 2014. He leads the Research Group on Power Electronic Energy Systems , focusing on control strategies, system management, and dynamic behavior of power electronics-dominated electrical networks. His work connects with energy transition ( Energiewende ), renewable energy integration, and grid stability. He also serves as Prodekan für Finanzen (Deputy Dean for Finance) and is a member of the In-LUST institute for sustainable urban development. Key research areas: Power electronics, grid control, renewable energy systems Notable projects: 413 MW traction current converter system (Datteln), Waldeck II pumped storage plant expansion Memberships: VDI, VDE, IEEE Contact: Office: 05.1.037, Laboratory: 05.1.045
