Professor Ibrahim Ozkol is a faculty member in the Department of Aeronautical Engineering at Istanbul Technical University (ITU). His research focuses on advanced propulsion systems, fractional calculus modeling, flight control dynamics, and structural analysis of aerospace components. He has been actively involved in projects addressing aircraft stability, stealth maneuvers, and energy-efficient thrusters. Awards: Recipient of the Boeing Career Award (2015). Projects: Includes initiatives like 'Preventing Loss of Control in Agile Aircraft' and 'Modeling of 6-Degree-Freedom Systems Using Fractional Mathematics.' His publications emphasize innovation in propulsion, control systems, and structural safety, with recent works exploring green monopropellant thrusters and reinforcement learning in flight envelope protection.
Dongmyoung Lee serves as a Postdoctoral Researcher at Vienna University of Technology (TU Wien), specializing in robotics research for complex manipulation tasks involving deformable objects. His core research interests focus on integrating real-world system design with learning-based methodologies to develop robust robotic capabilities: Robotics Dexterous Manipulation Deformable Object Manipulation Machine Learning Control Systems Real-world System Design Lee actively contributes to the INVERSE project (INteractive robots that intuitiVely lEarn to inVErt tasks by ReaSoning about their Execution), which explores how robots can learn task inversion through execution reasoning.
Ludovico Minati is a multidisciplinary researcher with appointments as a Specially-Appointed Associate Professor at Tokyo Institute of Technology (Japan) and Visiting Researcher at the University of Trento's Center for Mind/Brain Sciences (CIMeC). He holds concurrent positions as Visiting Professor at the Institute of Nuclear Physics – Polish Academy of Science and serves as a contract lecturer at the Free University of Bolzano. Education: PhD in Neuroscience, Brighton & Sussex Medical School (2012) Dr. Hab. in Physics, Institute of Nuclear Physics – Polish Academy of Science (2017) MSc in Applied Cognitive Neuroscience, University of Westminster (2008) MSc in Medical Physics, The Open University (2009) MSc in Science, The Open University (2006) BSc in Physical Science, The Open University (2009) BSc in Information Technology, The Open University (2004) Research Focus: Minati investigates emergent synchronization phenomena in nonlinear electronic and neural systems, developing bio-inspired electronic circuits to model brain dynamics. His work bridges experimental physics, neural network theory, and robotics, emphasizing chaotic oscillators, brain connectivity analogs, and hardware implementations of neural-like dynamics across multiple scales. Publication Trends: Recent articles (2015-2019) demonstrate consistent focus on nonlinear synchronization phenomena, experimental chaos in electronic circuits, and neural-electronic analogies. Research evolves from fundamental oscillator networks toward applications in robotics control systems and multi-scale brain modeling, with increasing complexity in hardware implementations. Honors & Recognition: Chartered Engineer (CEng), UK Engineering Council Chartered Physicist (CPhys), UK Institute of Physics Chartered Scientist (CSci), UK Science Council IEEE Senior Member Editorial Leadership: Holds editorial positions for Chaos Solitons & Fractals , IEEE Access , Frontiers in Physiology , Entropy , and Complexity , contributing to special issues on nonlinear systems and neural engineering.
Dirk Jordan is a Researcher VI at the National Renewable Energy Laboratory (NREL) within the Materials Science Photovoltaics Research Topic . His work focuses on photovoltaic system reliability , degradation mechanisms , and advanced statistical analysis for energy applications. Education: PhD in Physics, Arizona State University Master in Physics, Arizona State University Bachelor in Physics, Heidelberg University of Education Six Sigma Black Belt, Motorola Research Interests include AI-driven machine learning for energy systems, extreme weather resilience , performance loss in solar infrastructure, and big data analytics applied to photovoltaics. His recent work emphasizes embedded sensors and multivariate analysis to optimize PV longevity. Research Trends: Recent publications highlight degradation rate analysis (2023), reliability in terawatt-scale systems (2022), and large-scale field data interpretation (2020-2016). Key themes include climate adaptation , quality control , and material science for photovoltaics. Scientific Recognition: 2023: NREL Distinguished Member of Research Staff 2018, 2014, 2005: NREL President's Award 2005: Scientific American Top 50 & Nanotech Briefs Top 50 Collaborates with cross-functional teams on photovoltaic module testing , weather resilience , and energy system validation . Mentions over 150 total publications with peak activity in 2023-2021.
Danish Saleem serves as Researcher IV in Cyber Security & Resilience at the National Renewable Energy Laboratory (NREL), where he leads foundational research in energy security and resilience. He chairs the U.S. Department of Energy Solar Energy Technologies Office Laboratory Coordination Committee and serves as vice chair for IEEE Working Group 1547.3 on DER cybersecurity standards. His educational background includes: Master of Science in Electrical Engineering from Florida International University (recipient of Real Triumphs Graduates Award) Bachelor of Science in Electrical Engineering from NED University of Engineering and Technology Saleem's research focuses on cybersecurity for energy systems, with specialized expertise in distributed energy resources (DERs), inverter-based resource security, and cyber resilience of autonomous energy systems. His work bridges technology development, policy formulation, and commercialization of security solutions for grid integration of renewables, emphasizing security-by-design principles through public-private partnerships. Recent publications (2023-2024) reveal concentrated efforts in DER cybersecurity standards, supply chain security, and management system hardening. His research demonstrates increasing emphasis on practical implementation frameworks, with notable growth in technical reports and presentations targeting industry adoption rather than purely theoretical work. Key honors include: Cyprus Solar Car Challenge Best Urban Concept Design Award (2012) Florida International University Real Triumphs Graduates Award (2016) Shell Eco Marathon Team Electrical Lead Award (2011) As project lead for initiatives including the national DER cybersecurity certification program and RESCue pilot project, Saleem directs substantial grant-funded research with industry and government partners. His leadership extends to developing security-by-design implementation frameworks through multi-stakeholder collaborations. Saleem previously managed NREL's cybersecurity lab (2016-2017) and maintains active roles in IEEE Power and Energy Society and IEEE Standards Association working groups, driving community-wide security protocols for next-generation energy systems.
Esra Demir is a Researcher at the University of Istanbul Technical University , affiliated with the School of Aviation . Her research focuses on Mechanical Systems , Air Vehicles , and Control Systems , with expertise in Reinforcement Learning and Nonlinear Dynamics . Contact: demire15@itu.edu.tr . Research Trends Her recent work spans 2023–2025 , addressing topics like Control Barrier Functions , Quadrotor Dynamics , and Fractional-Order Modeling . Collaborations emphasize Mechanical Engineering and Autonomous Systems with institutions in Turkey and international partners.
Dr. Guo Chen is a Scientia Associate Professor at the School of Electrical Engineering and Telecommunications , University of New South Wales (UNSW Sydney) , Australia. His research focuses on smart grid security, power system optimization, and AI applications in energy networks. Power system security assessment Sustainable energy modeling Cyber-physical system design Optimization and control algorithms Smart grid implementation He has published over 110 high-quality papers and serves as an Editor of IEEE Transactions on Smart Grid . His work addresses cybersecurity threats, distributed optimization, and renewable energy integration in grid systems. Recent Research Trends: His 2025-2024 publications emphasize Byzantine-resilient decentralized optimization , EV charging security , blockchain-enabled grid protection , and AI-driven state estimation . Key subfields include stochastic composite optimization , multi-industrial micro-grid trading , and nonasymptotic convergence analysis . Contact: Email: guo.chen@unsw.edu.au
Andrzej Mondzik serves as a Professor in the Department of Power Electronics and Automation of Energy Conversion Systems at AGH University of Science and Technology's Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering in Kraków, Poland. His academic role encompasses both research and teaching responsibilities within power electronics, with particular emphasis on converter topologies for energy systems. His research spans power converter design including DC-DC converters, inverters, and renewable energy integration systems. Key specialties involve switched-capacitor and switched-inductor topologies, resonant converters, and applications of wide-bandgap semiconductors (GaN/SiC). Current investigations focus on soft-switching techniques, voltage stress reduction, and grid-connected photovoltaic systems, addressing critical challenges in efficiency and thermal management for high-power applications. Analysis of his 2020-2024 publications reveals consistent innovation in multilevel inverter topologies (T-NPC, ANPC) and high-gain DC-DC converters, with strong emphasis on practical implementation using advanced semiconductor devices. His work demonstrates particular expertise in balancing theoretical circuit analysis with experimental validation, as evidenced by frequent references to laboratory prototypes and measured efficiency data across diverse operating conditions.
Adam Penczek is a Professor at the AGH University of Science and Technology , affiliated with the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering. He works in the Department of Power Electronics and Automation of Energy Conversion Systems, focusing on advanced power electronics technologies for energy conversion and automation. Research Interests: His work primarily addresses Multilevel inverter topologies Switched-capacitor converter designs Soft switching techniques Wide bandgap semiconductor applications (SiC/GaN) Renewable energy system integration High-frequency power conversion Recent Publications demonstrate expertise in optimizing voltage gain, reducing switching losses, and implementing passive snubber circuits. His studies span from 2019 to 2024, addressing both theoretical and practical challenges in power electronics. Contact: penczek@agh.edu.pl
Robert Stala is a Professor at the Department of Power Electronics and Automation of Energy Conversion Systems, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology in Kraków, Poland. He serves on the Senate and other collegial bodies of the university including the Discipline Council for Automation, Electronics, Electrical Engineering and Space Technologies and Senate Committee on Statutes and Regulations. His research focuses on power electronics, particularly DC-DC converters, inverters, and energy conversion systems. Key interests include voltage stress reduction, loss minimization, switched-capacitor topologies, resonant converters, and multilevel inverter systems. He actively investigates the application of GaN and SiC semiconductors for high-efficiency and high-frequency operation in power conversion. Recent publications (2022-2025) reveal strong emphasis on modular DC-DC converter architectures for 48V-to-1V conversion in data centers and 400V-to-48V in telecommunications infrastructure. Trends include parallel converter configurations, natural voltage balancing techniques in multilevel systems, and thermal management optimization. His work consistently addresses conduction/switching loss reduction through innovative circuit topologies and wide-bandgap semiconductor integration. Professor Stala is affiliated with the Power Electronics Laboratory (PEL) at AGH University ( http://www.pelab.agh.edu.pl ), where experimental validation of his theoretical models occurs.
Xingang Fu is an Assistant Professor at the University of Nevada, Reno . His research focuses on Cyber-Physical Systems, Reinforcement Learning, and Deep Learning applications in renewable energy integration and power generation technologies. Email: xfu@unr.edu Office: SEM Room 319 He actively pursues funded research projects and seeks self-motivated PhD students with strong programming and mathematical backgrounds. Scientific Awards NSF Award #2219733 for cyber-physical security in energy resources NSF PFI-RP #2141067 for inverter technologies in renewable energy NSF Award #2131214 for deep learning-driven embedded control systems
Faruk ERKEN is an Assistant Professor at the Faculty of Engineering and Architecture , Kastamonu University , Turkey. His academic career spans institutions such as Batman University (2005-2014, 2014-2016) and Kastamonu University (2016-). He holds a Ph.D. (2009-2014) and M.Sc. (1998-2001) in Electrical and Electronics Engineering from Fırat University and Dicle University, respectively, and a B.Sc. (1990-1994) from Fırat University. Research Focus: Electrical Machines and Energy Conversion, with applications in Permanent Magnet Synchronous Motors, Renewable Energy Systems (e.g., Off-Grid Solar Power), Signal Processing for Seismic Activity, and Advanced Control Algorithms (e.g., Genetic Algorithm Optimization, KNN Classification). Recent Publications: Work on ionospheric disturbances for earthquake prediction (2025), forest fire detection UAVs (2023), and torque ripple reduction in PMSMs (multiple years). Projects: Led BAP projects on parameter estimation in PMSMs (2019-2020) and frequency-selective radomes (2017-2018). Currently involved in TÜBİTAK research on ionospheric earthquake precursors (2024). Academic Roles: Served as Department Vice Chair (2017-), Department Chair (2014-2016), and reviewer for journals like Electrical Engineering and Turkish Journal of Electrical Engineering and Computer Sciences .
Hamza Makhamreh is a Lecturer at Özyeğin University’s Department of Electrical and Electronics Engineering. He holds a Ph.D. and M.Sc. in Electrical and Electronic Engineering from Eastern Mediterranean University (2019, 2013) and a B.Sc. in Electrical Engineering from Palestine Technical University (2009). His academic career includes prior work as an electrical engineer at Dar Al-Handasah Consultants in Saudi Arabia. Dr. Makhamreh’s research focuses on control of power electronics devices , grid-connected converters , and multilevel inverter topologies . His recent publications emphasize advanced control strategies for multilevel inverters, including sliding mode control, model predictive control, and reduced switching frequency techniques. Key trends in his work involve optimizing grid integration, improving energy efficiency, and developing fault-tolerant power conversion systems. Notable contributions include organizing a special session on Advanced Multilevel Converters at the 2025 CPE-POWERENG conference and co-authoring high-impact journal articles in IEEE Transactions on Industrial Electronics and Sustainability . Despite no explicit awards listed, his collaborative research and conference involvement highlight active engagement in power electronics innovation.
Andreas Michaelides serves as an Associate Professor in the Department of Engineering at the University of Nicosia's School of Sciences and Engineering. With over three decades of academic experience since earning his doctorate in 1988, he maintains an active research profile focused on power systems innovation and component design. His work bridges theoretical electrical engineering with practical applications in energy infrastructure and industrial systems. Education: PhD in Power Engineering from Technical University of Ilmenau, Germany (1988) Master in Power Engineering from Technical University of Ilmenau, Germany (1985) Michaelides' research centers on reactive power management and electromagnetic component integration, with particular emphasis on capacitor-inductor systems for harmonic filtering and power quality enhancement. His work on the 'Sniper-System' targeting technology demonstrates applied innovation in precision engineering. Current investigations explore wireless power transfer efficiency through iron core optimization and novel VAR compensation techniques for grid stability. These efforts address critical challenges in renewable energy integration and industrial power system reliability. Analysis of his 15 most recent publications reveals an evolving research trajectory from fundamental component design (2015-2018) toward integrated systems engineering (2020-2025). His work consistently targets power quality improvement through harmonic filtering and reactive power management, with recent publications demonstrating increased focus on high-power wireless energy transfer and iron core magnetic circuit optimization. This progression reflects industry shifts toward grid modernization and efficient power delivery solutions. Dr. Michaelides maintains an active scholarly presence with an h-index of 26, verified through Scopus and ORCID (0000-0001-9199-5426). His research output shows consistent productivity across 16 publications from 2015-2025, primarily in IEEE conferences and journals. The 'Sniper-System' project (www.sniper-system.com) represents a significant applied research initiative bridging electrical engineering with precision targeting applications.
Stefan M Goetz serves as an Assistant Professor in both Psychiatry & Behavioral Sciences and Neurosurgery at Duke University's School of Medicine, and is a Faculty Network Member of the Duke Institute for Brain Sciences. His unique interdisciplinary career bridges engineering and neuroscience, with significant contributions in power electronics and transcranial magnetic stimulation (TMS) technology. Dr. Goetz's research interests center on two interconnected domains: advanced power electronics systems (including battery management, power converters, and electric vehicle technology) and neural stimulation devices (particularly TMS applications). His work demonstrates how engineering innovations can directly address challenges in neuroscience and medical applications. His educational background includes a Ph.D. from Technical University of Munich, School of Medicine (Germany) completed in 2012. His extensive publication record shows remarkable productivity across both IEEE power electronics journals and neuroscience/medical journals, with numerous high-impact papers published through 2025. The research trends reveal a consistent focus on improving the efficiency, reliability, and functionality of power conversion systems while simultaneously advancing neural stimulation technology. His work on TMS devices specifically addresses challenges like acoustic noise reduction, improved targeting, and enhanced stimulation capabilities. Dr. Goetz's research program demonstrates a unique synergy between power electronics engineering and neuroscience applications, particularly in developing advanced neural stimulation devices that require sophisticated power management and conversion techniques. His dual appointment structure at Duke University reflects the institution's recognition of the value in this interdisciplinary approach to medical device innovation.
