Cem Recai Çırak is a Research Assistant at Istanbul Technical University's Faculty of Electrical and Electronics Engineering, Department of Control and Automation Engineering. With a PhD in Electrical and Electronics Engineering from Istanbul University-Cerrahpaşa (2019), his work spans control theory, artificial intelligence, renewable energy systems, and financial modeling. Education: PhD in Electrical and Electronics Engineering (2019), MSc in Production Management and Numerical Methods (2015), multiple BSc degrees (2008, 2010, 2014) Research focuses on: Photovoltaic systems and battery storage optimization AI-driven maximum power point tracking algorithms Academic performance prediction models for first-year students Smart grid and nanogrid cost optimization Recent publications highlight trends in renewable energy forecasting, student success analytics, and computational methods. He has been affiliated with IEEE since 2008 and works across interdisciplinary domains including energy systems, machine learning, and educational technology.
Ouahib GUENOUNOU is a Researcher-Lecturer at CESI (Conservatoire d'Enseignement des Industries) in Le Mans, France. His primary research focuses on multi-objective optimization, artificial intelligence, renewable energy systems, and modeling/control of engineering systems. He holds a PhD in Automatic Systems from Toulouse University (2009), a Master's in Automatic and Signal Processing from Bejaia University (2003), and an Engineering degree in Electronics (1999). His work integrates fuzzy logic, genetic algorithms, and particle swarm optimization (PSO) to address challenges in photovoltaic energy conversion, MPPT (Maximum Power Point Tracking), and control systems. Key contributions include self-adaptive MPPT algorithms, hybrid energy systems optimization, and TSK fuzzy model simplification. He has published extensively in IEEE journals and conferences, with notable work on real-time implementation of fuzzy controllers and multi-objective optimization frameworks. GUENOUNOU teaches Electronic Control and Photovoltaic Energy at CESI, reflecting his expertise in applying theoretical models to practical engineering problems. His research team, Engineering and Numerical Tools, emphasizes computational methods for energy systems and control engineering.
Vincent Debusschere is an Associate Professor at the Grenoble Institute of Technology, working within the National School of Energy, Water and Environment (ENSE 3 ) and the Grenoble Electrical Engineering Laboratory (G2Elab). He has been with the institution since 2010 and is a member of the SYREL research team. His current responsibilities include serving as co-coordinator of the international master's degree in Electrical Engineering for Smart Grid and Buildings, head of international relations for the Energy Systems and Markets department, and member of the scientific committee of the national JCGE conference since 2013. Dr. Debusschere's research focuses on integrating renewable energies into power systems, with particular emphasis on maximizing grid capacity for variable renewables while ensuring operational stability. His work spans multiple dimensions: residential and tertiary flexibility estimation and control, renewable production management through storage systems, operational planning of distribution grids under uncertainty, microgrid stability in isolated environments, and long-term energy system prospective modeling. His research combines technical, economic, environmental, and societal criteria to address the challenges of sustainable energy transition. His publication record shows a clear evolution toward energy communities, storage market participation, and advanced control strategies for grid-forming converters. Recent work increasingly focuses on the intersection of machine learning techniques with power system operation, particularly for voltage control under uncertainty and distributed resource management. His research maintains strong connections between theoretical developments and practical applications through numerous industrial collaborations. Dr. Debusschere has directed or co-directed more than 10 PhD theses (5 completed, 6 ongoing) and maintains active research collaborations with institutions worldwide including NTU Singapore, University of Oulu (Finland), Institute Teknologi Bandung (Indonesia), and Danang University (Vietnam), as well as French institutions like LIG, GIPSA, CEA, and GAEL. He manages three industrial research contracts with partners including ENEDIS, Schneider Electric, and ITE Supergrid. Based at the G2Elab in the GreEn-ER Building in Grenoble, Dr. Debusschere leads research activities within the SYREL team, focusing on experimental validation of regulation methods for smart grids and the application of artificial intelligence to grid operation. His laboratory work particularly emphasizes the stability of microgrids with low inertia and the development of virtual synchronous generator solutions.
Prof. Goga Cvetkovski is a Full Professor at the Faculty of Electrical Engineering and Information Technologies (FEIT), Ss. Cyril and Methodius University in Skopje, since 2012. Previously, he held roles including Associate Professor (2007–2012), Assistant Professor (2003–2007), and Assistant (1998–2002). He is affiliated with the Institute of Electrical Machines, Transformers and Apparatus. His research focuses on electric machine design, optimization algorithms (e.g., cuckoo search, genetic algorithms), and virtual reality (VR) applications in mechatronics education. Research Interests Optimal design of permanent magnet motors (PM BLDC, PM synchronous motors) Reduction of cogging torque and harmonic effects Energy efficiency optimization in electric drives Virtual reality-based educational tools for mechatronics Finite element analysis (FEA) for motor performance Key Contributions Prof. Cvetkovski has pioneered the ViMeLa project, an innovative VR platform for mechatronics training. His work emphasizes nature-inspired optimization algorithms for motor design, with applications in renewable energy systems and electric vehicles. Recent studies include multi-objective optimization of motor topologies and harmonic impact analysis. Awards & Recognition No specific honors are listed in the provided texts. Lab/Team Affiliation He leads research within the Institute of Electrical Machines, focusing on electromechanical systems and sustainable energy solutions.
Dr. Zhongfu Zhou is a Lecturer in Power Electronics at Swansea University, affiliated with the School of Aerospace, Civil, Electrical and Mechanical Engineering and the Electronic and Electrical Engineering Department. His research focuses on power electronics converters applied to renewable energy systems, transportation, and power distribution networks. Key areas include photovoltaic inverters, maximum power point tracking (MPPT) algorithms, PV emulation systems, and semiconductor device optimization (e.g., SiC MOSFETs). Teaching responsibilities include modules such as EG-345 Power Electronics (Year 3), EGLM02 Advanced Power Electronics and Drives (Year 4/MSc), and EGLM06 Sustainable Energy and Power Electronics Laboratory. He has supervised multiple PhD students in topics like battery energy storage systems, photovoltaic emulation, and grid integration challenges. Research highlights include developing robust control strategies for inverters, optimizing switching performance in SiC MOSFET modules, and coordinating multi-inverter systems to mitigate voltage imbalances. His work bridges theoretical control methods with practical applications in renewable energy systems and power electronics hardware. Dr. Zhou is a member of the UK IEC Standards Committee, contributing to international technical standards in electrical engineering. His over 60 peer-reviewed publications span journals such as IEEE Transactions on Energy Conversion , Energies , and Electronics , reflecting his commitment to advancing sustainable energy technologies.
Abdul Hafeez is an emerging researcher specializing in electrical engineering with a focus on renewable energy systems and electric vehicle infrastructure. His work bridges the fields of power engineering and artificial intelligence, with particular expertise in applying deep learning techniques to energy management problems. His research interests include: Electric Vehicle Charging Infrastructure design and optimization Demand Side Management in smart grid applications Deep Learning applications for energy systems Renewable Energy integration with grid systems Power Electronics for sustainable energy solutions Smart Grid Technology development Hafeez's publication record demonstrates a focused research trajectory in applying artificial intelligence to solve practical challenges in sustainable energy systems. His work on utilizing EV charging stations for demand side management using deep learning (with 52 citations) represents an innovative approach to grid stability and renewable energy integration. His more recent work evaluating ANN-based MPPT for grid feeding inverters shows continued development of AI applications in power electronics. Hafeez has established research collaborations with several prominent engineers in the field, including A. Iqbal (569 publications, 10,447 citations), S. Islam, and R. Alammari, suggesting integration into an active research community focused on sustainable energy solutions.
Şahin Serhat Şeker is a Professor in the Department of Electrical Engineering at Istanbul Technical University (ITU), Istanbul, with continuous research activity since 1993. He maintains an active publication record through 2025, demonstrating ongoing academic engagement, and has accumulated 111 research outputs with 1084 citations and an h-index of 19. His research centers on power system analysis and electric motor diagnostics, specializing in vibration signal processing for fault detection in induction motors. He employs continuous wavelet transform for non-stationary signal analysis to identify bearing damage, aging processes, and fault signatures. Recent work integrates machine learning for renewable energy forecasting and power grid stability, reflecting a strategic shift toward AI-driven solutions for energy infrastructure challenges. Professor Şeker's 2023-2025 publications reveal a strong trend toward deep learning applications in transient instability prediction, solar irradiance forecasting, and photovoltaic system optimization. His work increasingly addresses real-world energy challenges in regions like Djibouti, focusing on grid stability and renewable integration through hybrid modeling approaches. He has supervised 13 students and secured research funding through two major projects: SENSOR VALIDATION AND FUSION FOR SYSTEM MONITORING (2018-2019): Developed sensor validation frameworks for industrial system monitoring Analysis of Ferroresonance in Power Systems Using Multiresolution Wavelet Analysis and Extraction of Nonlinear Properties (2013-2018): Investigated nonlinear phenomena in power grids through advanced signal processing
Salem Elsaiah is an Assistant Professor in the Department of Electrical Engineering at the College of Innovation, Discovery and Enterprise, Alvernia University, located at the John R. Post Center at Reading CollegeTowne. His primary affiliation demonstrates active engagement in power systems and renewable energy research, with a focus on modern electrical engineering challenges. Professor Elsaiah's research spans: Power System Resilience : Developing optimization methods for grid reliability under extreme conditions Renewable Integration : Analyzing PV systems and microgrid performance Electric Vehicles : Studying grid impacts and hosting capacity solutions Maritime Energy Systems : Designing hybrid power systems for marine applications His publications consistently address operational challenges in modern energy infrastructure. Analysis of his 15 most recent publications (2016-2022) reveals three dominant themes: Reliability modeling of renewable-integrated grids (7 publications) Optimization techniques for distribution networks (5 publications) Maritime and transportation electrification (3 publications) Notably, his work combines theoretical frameworks with practical implementations, including real-time PV systems and experimental marine prototypes.
Dr. Hassan Zargarzadeh is an Associate Professor in the Phillip M. Drayer Department of Electrical and Computer Engineering at Lamar University, specializing in Robotics and Intelligent Control Systems. His research spans multiagent systems, underwater robotics, wireless vehicle charging, and adaptive control algorithms. Ph.D. in Electrical Engineering, Missouri University of Science and Technology, 2012 M.S. in Electrical Engineering, Iran University of Science and Technology, 2009 B.S. in Electrical Engineering, Amir Kabir University, 2000 Dr. Zargarzadeh leads the Robotics and Intelligent Control Systems (RICS) Lab, focusing on: Advanced control methods for uncertain nonlinear systems Mechatronics and robotics design Power electronics and vehicle charging systems Swarm robotics and game-theoretic path planning His recent research trends include applying neural networks to autonomous systems, developing vision-based navigation for underwater robots, and optimizing wireless power transfer for electric vehicles. Collaborative projects span environmental monitoring, energy systems, and multiagent control. Scientific contributions include: Best presenter runner-up at ISC-supported research poster presentation, 2010 Top 3% M.S. student in Iran, 2008 National exam rankings in 1995 (top 100) and 2006 (top 800) Advising and grants: Advised 10+ graduate students in robotics and control $35,000 CAPM grant (2017) for bunker fuel optimization $25,000 CAWAQ grant (2016) for invasive species detection
Ahmad Y. Javaid is an Assistant Professor in the Electrical Engineering and Computer Science Department within the College of Engineering at The University of Toledo. He serves as the founding director of the Paul A. Hotmer Cybersecurity and Teaming Research (CSTAR) lab and holds the position of Cyber Education and Cyber Threat Mitigation Faculty Fellow. Dr. Javaid received his B.Tech. (Hons.) Degree in Computer Engineering from Aligarh Muslim University, India in 2008 and his Ph.D. from The University of Toledo in 2015, where he was awarded the prestigious University Fellowship Award. Prior to joining the University of Toledo faculty, he worked for two years as a Scientist Fellow in the Ministry of Science & Technology, Government of India. Dr. Javaid's research spans multiple domains within cybersecurity and human-machine interaction. His primary expertise lies in cyber security of drone networks, smartphones, and wireless sensor networks. He has conducted extensive research on human-machine teams and applications of AI and machine learning to attack detection and mitigation. His work bridges theoretical security frameworks with practical implementations across various domains including UAV security, physical layer communications security, and multimodal human-computer interaction systems. His recent publications demonstrate a continued expansion into nuclear-renewable energy systems security and advanced cybersecurity education frameworks for K-12 students. Dr. Javaid has secured significant research funding, with collaborative proposals totaling $9.7M (including all partners along with UToledo), of which $1.4M has been allocated specifically to him. Approximately $4.1M has been allocated to the University of Toledo from these projects. His research has been funded by prestigious agencies including the NSF, AFRL, NASA-JPL, Department of Energy, and the State of Ohio. He has also played a critical role in cultivating private gifts to support the CSTAR lab. IEEE Graduate Student Member (2012) IEEE Member (2015) IEEE Senior Member (2019) University Fellowship Award As an educator, Dr. Javaid has developed innovative cybersecurity curriculum modules and educational tools. He has served as a reviewer for high-impact journals and as a member of technical program committees for reputed conferences. His work extends to cybersecurity education initiatives targeting K-12 students, with projects focused on developing interactive learning modules to improve cybersecurity awareness at the high school level. He has published more than 85 peer-reviewed publications across journals, conferences, and posters, demonstrating consistent scholarly productivity with significant output in recent years. Dr. Javaid leads the Paul A. Hotmer Cybersecurity and Teaming Research (CSTAR) lab, which focuses on cutting-edge research in cybersecurity, particularly in the areas of UAV security, physical layer security, and human-machine teaming. The lab has received support from both government agencies and private sources, enabling the development of novel security frameworks and educational tools. His interdisciplinary approach bridges computer science, electrical engineering, cybersecurity, and human factors research, making significant impacts in both academic and practical cybersecurity domains.
Alper ÇANDIR is a Researcher at Antalya Science University's Department of Electrical and Electronics Engineering within the College of Engineering. He holds a Bachelor's and Master's degree in Electrical-Electronics Engineering from Akdeniz University and is currently pursuing his Doctorate at the same institution. His academic work focuses on Power Electronics, Electrical Machines, and Solar Energy Systems. Bachelor's: Akdeniz University, Electrical-Electronics Engineering Master's: Akdeniz University, Electrical-Electronics Engineering Doctorate: Akdeniz University, Electrical-Electronics Engineering (ongoing) Research interests include: Power Electronics Electrical Machines Electronic Circuit Design Semiconductor Driver Circuits Maximum Power Point Tracking in Solar Energy Systems
OKAN GÜNGÖR serves as a Lecturer in the Department of Electrical and Electronics Engineering at Alanya Alaaddin Keykubat University's Faculty of Engineering since 2025, following prior appointments as Lecturer (2019) and Doctor Lecturer (2019-2025) at Bayburt University's Technical Sciences Vocational School. His academic credentials include: Doctorate in Electrical Engineering from Karadeniz Technical University (2019-2024) Master's in Electrical Engineering from Sakarya University (2016-2019) Bachelor's in Electrical-Electronic Engineering from Süleyman Demirel University (2010-2014) Dr. GÜNGÖR's research centers on Renewable Energy Systems , with specialized expertise in photovoltaic power optimization, maximum power point tracking (MPPT) algorithms, and energy management. His work addresses critical challenges in solar energy efficiency—including environmental impacts on panel performance and converter topology design—while extending into radiation shielding simulation and electrical safety protocols. His technical approach integrates advanced control systems like ANFIS and neural networks to enhance renewable energy infrastructure reliability. Analysis of his 11 publications (2014-2023) reveals a consistent trajectory in solar energy innovation, evolving from foundational work on MPPT algorithms and electrical safety toward sophisticated solutions for dust-induced efficiency loss and multi-domain applications like 3D-printed geopolymer structures. Recent contributions demonstrate expanding interdisciplinary scope, bridging power electronics with materials science and environmental engineering. No scientific awards or formal advising relationships are documented in available records. Research activities show no explicit grant funding or laboratory affiliations, though his publications indicate collaborative work with researchers like Hakan Kahveci and Ayhan Ozdemir on photovoltaic systems.
Prof. Dr.-Ing. Horst Schulte is a Professor at the Department of Engineering I, HTW Berlin - University of Applied Sciences. His expertise lies in Control Systems Engineering, Electrical Engineering, and Renewable Energy Systems, with a focus on modeling, fault-tolerant control, and computational intelligence applications. Department of Engineering I, HTW Berlin Chair in Control Systems Group ResearchGate profile with 214 publications Research Interests include: Model-based and data-driven control systems Wind and photovoltaic power plants Takagi-Sugeno fuzzy systems Robust and fault-tolerant control Dynamic virtual power plants (DVPP) Computational intelligence in energy systems Scientific Awards : 10th Annual ISGAN Award (2024) HTW Berlin Research Award (2018/19) Best Paper in Control Theory (2013) Best BMBF Project of the Month (2012) Key Contributions involve power tracking control for renewables, fault reconstruction in wind turbines, and innovative converter control schemes. His work bridges theoretical control methods with practical energy system implementations.
Dr. Mindaugas Viliūnas serves as an Associate Professor at the Institute of Chemical Physics within the Faculty of Physics at Vilnius University. His academic career spans multiple decades with continuous research contributions in the field of charge transport phenomena in disordered materials and electronics. Dr. Viliūnas specializes in charge transport mechanisms , bimolecular recombination processes , and advanced measurement techniques including CELIV (Charge Extraction by Linearly Increasing Voltage) and SCLC (Space-Charge-Limited Current). His research portfolio extends to photovoltaic technologies , MPPT (Maximum Power Point Tracking) systems, and photoemission studies of organic semiconducting materials. His work bridges fundamental physics with practical applications in electronic device development. Analysis of Dr. Viliūnas' publication record reveals a consistent trajectory of innovation in charge carrier dynamics research, with particular emphasis on transient measurement methodologies. His work demonstrates evolving sophistication from early studies of basic charge transport phenomena to more recent investigations of complex organic semiconductor systems and advanced photovoltaic applications. The interdisciplinary nature of his research connects physics, materials science, and electronic engineering. Dr. Viliūnas has supervised over 58 student theses throughout his career, reflecting his substantial commitment to academic mentorship. His teaching portfolio includes advanced courses in Computerized physical and technological measurements , Radio-electronic systems , and Digital signal processors , demonstrating his expertise across theoretical concepts and practical electronic implementations. As an active researcher at Vilnius University's Institute of Chemical Physics, Dr. Viliūnas contributes to Lithuania's scientific community through both fundamental research and practical applications of semiconductor physics, with potential implications for next-generation electronic and energy conversion technologies.
Thomas Anung Basuki serves as an Assistant Professor at Heriot-Watt University's Malaysia Campus within the School of Mathematical and Computer Sciences. With over two decades of teaching experience across Indonesian and Malaysian universities, he maintains an active research profile in theoretical and applied computer science. His educational background includes: Bachelor of Informatics Engineering from Institut Teknologi Bandung, Indonesia Joint Masters and PhD in Computer Science from Universitas Indonesia and Universita di Pisa/United Nations University Dr. Basuki's research spans formal methods, natural language processing, and artificial intelligence with particular focus on modeling, verification, and classification systems. His work integrates theoretical computer science with practical implementations across diverse domains including software engineering, image processing, and renewable energy systems. The fingerprint analysis of his publications reveals strong expertise in algorithms (62%), diagrams (61%), verification (60%), and classification (55%). His publication record shows consistent activity from 2009 through 2025, with recent work demonstrating increasing interdisciplinary applications. The research trends indicate growing focus on deep learning implementations and formal verification techniques applied to real-world problems in energy systems, agricultural technology, and digital security. His scholarly contributions align with several United Nations Sustainable Development Goals, though specific goals aren't explicitly enumerated in the available information. With research outputs spanning conference contributions, journal articles, and peer-reviewed publications, Dr. Basuki maintains active collaborations across international institutions as indicated by his network visualization. His work shows particular strength in bridging theoretical computer science with practical implementations across multiple sectors.
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