Yousaf Muhammad | Energy Conversion | Research Excellence Award

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Assoc. Prof. Dr. Yousaf Muhammad | Energy Conversion | Research Excellence Award

Assoc. Prof. Dr. Yousaf Muhammad is a leading researcher in energy storage devices and solid oxide fuel cell technologies. With 2,946 citations and an h-index of 33, his work significantly advances low-temperature SOFCs, semiconductor electrolytes, and proton-conducting fuel cells. His research integrates materials innovation, rare-earth-doped nanoferrites, and electrochemical performance enhancement. Collaborating internationally, he contributes to renewable energy solutions, hydrogen technology, and ceramic fuel cell development for sustainable, high-efficiency energy conversion systems.

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Featured Publications

Seyi Akadiri | Energy | Editorial Board Member

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Dr. Seyi Akadiri | Energy | Editorial Board Member

Central Bank of Nigeria | Nigeria

Dr. Seyi Saint Akadiri is an accomplished economist whose research explores the complex interactions between energy systems, environmental sustainability, macro-financial stability, and technological change. With 5,405 citations, 125 publications, and an h-index of 44, he has established a strong global scholarly footprint across energy economics, climate finance, resource policy, and quantitative econometrics. His work spans cutting-edge themes such as renewable energy transitions, clean energy market dynamics, geopolitical risk transmission, digitalisation-driven sustainability, economic complexity, and the environmental implications of artificial intelligence. Dr. Seyi Saint Akadiri employs advanced analytical frameworks including wavelet methods, quantile causality, connectedness modelling, Fourier-based econometrics, and portfolio risk analysis to address real-world challenges in global energy markets, climate risk, and environmental performance. His broad influence and multidisciplinary collaborations highlight his expertise in clean energy economics, environmental policy modelling, macroeconomic uncertainty, and sustainable growth analytics.

Profile: Scopus | Orcid

Featured Publications

Akadiri, S. S., (2025). Oil shocks and unexpected economic policy uncertainty: Evidence from wavelet nonparametric quantile causality. Humanities and Social Sciences Communications.

Akadiri, S. S., (2025). The J-curve phenomenon in Türkiye’s fossil fuel trade balance: A Fourier-ARDL analysis. Journal of Asian Economics.

Akadiri, S. S., Ozkan, O., & Kirikkaleli, D. (2025). Synergistic impact of renewable energy technology, governance, digitalisation, and human capital on sustainable development and load capacity factor in Germany’s energy landscape. Technology in Society.

Akadiri, S. S.,  (2025). Time and quantile persistence and efficiency of clean, green, and sustainable markets. Letters in Spatial and Resource Sciences.

Akadiri, S. S.,  (2025). Energy, critical minerals, and precious metals: Navigating interconnectedness and portfolio strategies in investment risk management. Resources Policy.

Nikolaos Kelepouris | Energy Management | Best Researcher Award

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Mr. Nikolaos Kelepouris | Energy Management | Best Researcher Award

University of Western Macedonia | Greece

Mr. Nikolaos Kelepouris is a highly promising researcher in the field of electrical and computer engineering, currently pursuing his PhD at the University of Western Macedonia with a thesis focused on optimizing distribution networks by incorporating nanogrids. He holds an Integrated Master Diploma in Electrical and Computer Engineering from the University of Thessaly, where he completed a thesis on hydroelectric plant design. His expertise spans energy management systems, demand side management, smart grids, energy communities, storage technologies, electric vehicles, and optimization models. A recipient of the 2023 Research Excellence Award from the Faculty of Engineering, he has distinguished himself as both a skilled researcher and educator, serving as a teaching assistant in electric power systems and photovoltaic applications. Mr. Kelepouris has actively participated in eight funded research projects, including EU Horizon and LIFE initiatives, covering critical areas such as solar energy, smart cities, congestion management, and innovative low-carbon energy technologies. His publication record is robust, with 15 contributions, including five peer-reviewed journal papers in high-impact outlets such as IEEE Transactions on Industry Applications and Electric Power Systems Research, and ten international conference presentations. Combining strong technical skills in programming, optimization, and power system analysis with international project engagement, Mr. Kelepouris is building a significant research profile that advances sustainable energy transitions and the future of smart grids.

Profile: Google Scholar

Featured Publications

Kelepouris, N. S., Nousdilis, A. I., Bouhouras, A. S., & Christoforidis, G. C. (2022). Cost-effective hybrid PV-battery systems in buildings under demand side management application. IEEE Transactions on Industry Applications, 58(5), 6519–6528.

Kelepouris, N. S., Nousdilis, A. I., Bouhouras, A. S., & Christoforidis, G. C. (2023). Optimal scheduling of prosumer’s battery storage and flexible loads for distribution network support. IET Generation, Transmission & Distribution, 17(7), 1491–1508.

Bouhouras, A. S., Kelepouris, N. S., Koltsaklis, N., Oureilidis, K., & Christoforidis, G. C. (2024). Congestion management in coupled TSO and DSO networks. Electric Power Systems Research, 229, 110145.

Kelepouris, N. S., Nousdilis, A. I., Bouhouras, A. S., Christoforidis, G. C., & others. (2021). Impact of demand side management on the self-sufficiency and self-consumption of buildings with photovoltaic and storage systems. In Proceedings of the 9th International Conference on Modern Power Systems (MPS) (pp. 1–6).

Kelepouris, N. S., Nousdilis, A. I., Bouhouras, A. S., & Christoforidis, G. C. (2021). Enhancing self-sufficiency in buildings with hybrid PV-battery systems and demand side management: A sizing tool. In 2021 IEEE International Conference on Environment and Electrical Engineering (EEEIC/ICPSEurope).

Kelepouris, N. S., Kelepouris, D., Bouhouras, A. S., & Christoforidis, G. C. (2024). Prosumer energy management under controllable power transactions with the grid. IEEE Transactions on Industry Applications.

Zhang Tao | Energy | Best Researcher Award

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Mr. Zhang Tao | Energy | Best Researcher Award

Mr. Zhang Tao | Changsha University of Science and Technology | China

Mr. Zhang Tao is a dedicated researcher and lecturer specializing in civil and geotechnical engineering. He currently serves as a lecturer at Changsha University of Science & Technology, where he contributes to both academic instruction and scientific research. He earned his Ph.D. in Engineering from Hohai University, with a strong focus on rock mechanics and structural behavior under varying stress conditions. Prior to this, he completed his master’s degree at Liaoning Technical University and a bachelor’s degree from Hulunbuir University, where he laid the foundation for his interest in material behavior and structural analysis. His recent publication in Engineering Fracture Mechanics explores the strength, deformation, and failure characteristics of sandstone under diverse loading paths, highlighting his expertise in experimental mechanics and material performance. Mr. Zhang’s research is driven by a commitment to advancing infrastructure resilience and geomechanical understanding, making him an emerging academic with promise in the field of engineering science.

Publication Profile

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Academic Background

Mr. Zhang Tao is a dynamic academic professional with a strong foundation in engineering and a growing portfolio of research contributions. He is currently serving as a lecturer at Changsha University of Science & Technology, where he is actively involved in teaching and scholarly activities in civil and geotechnical engineering. Prior to his current role, he pursued doctoral studies at Hohai University, where he conducted extensive research in rock mechanics and material behavior under complex stress conditions. His academic journey began at Hulunbuir University, where he completed his undergraduate studies in engineering, and continued with a master’s degree at Liaoning Technical University, further strengthening his technical expertise in structural and material engineering. Throughout his education, Mr. Zhang has demonstrated a consistent commitment to academic excellence and scientific inquiry. His comprehensive educational background provides a solid platform for his future contributions to the fields of structural engineering and material performance analysis.

Research Focus

Mr. Zhang Tao’s research spans a broad and interdisciplinary range of scientific domains, with primary focus areas in biomedical applications, environmental sustainability, materials science, and advanced energy technologies. His work reflects a strong emphasis on nanomaterials, biopolymers, and smart materials, particularly in enhancing the mechanical and thermal properties of polymers, as seen in his studies on fracture toughness and DNA hydrogels. He also contributes significantly to genome editing technologies, particularly CRISPR systems in plants, showcasing expertise in molecular biology. His involvement in urban land use mapping, ecological modeling, and the environmental impact of agricultural practices demonstrates his commitment to sustainability and earth system science. In parallel, his research in lithium-ion batteries, electrocatalysis, and corrosion science highlights his interest in energy storage and material durability. His publications reflect a multidisciplinary approach, combining experimental, theoretical, and computational methods to address pressing global challenges in health, energy, environment, and infrastructure

Publication Top Notes

Probable pangolin origin of SARS-CoV-2 associated with the COVID-19 outbreak
Year: 2020
Citations: 2180

Improving the fracture toughness and the strength of epoxy using nanomaterials–a review of the current status
Year: 2015
Citations: 869

A CRISPR–Cpf1 system for efficient genome editing and transcriptional repression in plants
Year: 2017
Citations: 712

Vegetation demographics in Earth System Models: A review of progress and priorities
Year: 2018
Citations: 650

Mapping essential urban land use categories in China (EULUC-China): Preliminary results for 2018
Year: 2020
Citations: 539

Self‐assembled DNA hydrogels with designable thermal and enzymatic responsiveness
Year: 2011
Citations: 486

Strong Electronic Interaction in Dual‐Cation‐Incorporated NiSe2 Nanosheets with Lattice Distortion for Highly Efficient Overall Water Splitting
Year: 2018
Citations: 471

A robust ion‐conductive biopolymer as a binder for Si anodes of lithium‐ion batteries
Year: 2015
Citations: 446

Conclusion

Mr. Zhang Tao presents a highly distinguished research portfolio with extensive citation metrics and multidisciplinary impact, making him a compelling candidate for the Best Researcher Award. However, verifying the specificity of his authorship across publications and showcasing more independent research leadership would solidify his standing further. Based on available data, he is a strong and deserving nominee with significant potential for long-term scientific leadership.

Jagadis Gautam | Energy | Best Researcher Award

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Dr. Jagadis Gautam | Energy | Best Researcher Award

Research Professor at Kyung Hee University, South Korea

Dr. Jagadis Gautam is a Chemical Engineering researcher specializing in nanomaterials for energy storage and conversion technologies. With a Ph.D. from Chonbuk National University, South Korea, and extensive postdoctoral experience across leading institutions in South Korea and China, his work focuses on electrocatalysis, water splitting, CO₂ reduction, fuel cells, and battery systems. He has published in high-impact journals and delivered invited talks at international conferences. Dr. Gautam is proficient in advanced synthesis and electrochemical techniques, and his contributions have earned him recognition such as the Best Presentation Award at AFORE 2022. He also brings over five years of teaching experience.

Academic Profile

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Educational Background

Dr. Jagadis Gautam holds a Ph.D. in Chemical Engineering from Chonbuk National University, South Korea, where his research focused on transition metal-graphene hybrids for oxygen reduction reactions. He earned his Master’s degree in Chemistry from Tribhuvan University, Nepal. His academic journey reflects a strong foundation in chemical sciences, supported by advanced research training in nanomaterials, energy conversion, and electrochemical systems. Dr. Gautam’s education laid the groundwork for his expertise in material synthesis and performance analysis for applications such as fuel cells and batteries. His diverse academic experiences across Asia highlight his commitment to interdisciplinary learning and global collaboration.

Professional Experience

Dr. Jagadis Gautam has accumulated extensive professional experience as a researcher and educator in the field of chemical engineering and nanotechnology. He is currently serving as a Research Professor at Kyung Hee University, South Korea. Previously, he held postdoctoral positions at Inha University, Kumoh National Institute of Technology, and Yangzhou University, where he contributed to advanced projects in energy storage and conversion. His expertise spans electrocatalysis, battery fabrication, and material characterization. Earlier in his career, he also served as a Lecturer in Chemistry in Nepal for over five years, demonstrating a balanced commitment to both research and teaching excellence.

Awards and Honors

Dr. Jagadis Gautam has received notable recognition for his contributions to chemical and energy materials research. He was honored with the Best Presentation Award at the AFORE 2022 Conference held in Jeju, South Korea, reflecting the impact and clarity of his scientific communication. Additionally, he has been acknowledged with Reviewer Certificates by the Energy, Ecology, and Environment journal in 2023 and the Journal of Applied Electrochemistry in 2024 for his contributions to peer review. These accolades highlight his active engagement in the academic community and his commitment to maintaining high standards in research dissemination.

Research Focus

Dr. Jagadis Gautam’s research centers on the development and application of advanced nanomaterials for energy storage and conversion technologies. His work focuses on synthesizing and characterizing materials for use in water splitting, CO₂ reduction, fuel cells, Zn-air batteries, Li-ion and Li-sulfur batteries, and supercapacitors. He is skilled in electrochemical analysis and membrane electrode fabrication, applying methods such as solvothermal synthesis, CVD, and electrodeposition. His recent efforts include designing bifunctional electrocatalysts and optimizing solid-state interfaces for high-efficiency energy systems. Dr. Gautam’s research contributes significantly to advancing clean energy technologies and sustainable electrochemical solutions.

Publication top Notes

Solid-State Electrolytes and Their Interfacial Properties: Implications for Solid-State Lithium Batteries
Year: 2025 | Cited by: 3

Enhanced Carbon Quantum Dots-Based Chemiluminescence Probes for Copper Ion Detection in Human Plasma and Urine
Year: 2025 | Cited by: 1

Bifunctional Electrocatalysts for Zn–Air Batteries: A Comprehensive Review of Design Optimization and In-Situ Characterization
Year: 2025 | Cited by: 1

Advancements in Flexible Perovskite Solar Cells and Their Integration into Self-Powered Wearable Optoelectronic Systems
Year: 2025 | Cited by: 1

Cutting‐Edge Optimization Strategies and In Situ Characterization Techniques for Urea Oxidation Reaction Catalysts: A Comprehensive Review
Year: 2025 | Cited by: 4

Conclusion

Dr. Jagadis Gautam is a highly accomplished researcher in nanomaterials and energy conversion technologies, with a Ph.D. in Chemical Engineering and extensive postdoctoral experience in South Korea and China. His expertise spans electrocatalysis, water splitting, CO₂ reduction, and advanced battery systems. With publications in high-impact journals and international conference recognition, he demonstrates strong scientific potential. While further leadership and independent research could enhance his profile, his contributions position him as a strong candidate for the Best Researcher Award.

 

 

Metwally Rashad | Energy | Best Researcher Award

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Dr. Metwally Rashad | Energy | Best Researcher Award

Dr. Metwally Rashad, Prince Prince Sattam Bin Abdulaziz University, Saudi Arabia

Dr. Metwally Rashad is an Assistant Professor of Computer Science at the Faculty of Computers & Artificial Intelligence, Benha University, Egypt. He earned his Ph.D. in Computer Science from the University of Pannonia, Hungary, specializing in image processing and computer vision. With over 18 years of academic experience, he has taught a wide range of courses, including artificial intelligence, medical image processing, and computer graphics. Dr. Rashad has published extensively in high-impact journals and conferences, with notable work in object recognition, video summarization, and medical image retrieval. He has supervised numerous M.Sc. and Ph.D. students and actively contributes to research in AI, deep learning, and data mining. He holds leadership roles within his faculty, including executive director of the IT unit and faculty board member. A recipient of international publishing awards, Dr. Rashad is a committed researcher with global exposure and a strong background in both teaching and applied research.

Publication Profile

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🎓 Academic Qualifications

Dr. Metwally Rashad has pursued a progressive academic path rooted in mathematics and computer science. He earned his B.Sc. in Mathematics in 2002 from the Faculty of Science at Benha University, Egypt. In 2006, he completed a two-year Diploma in Computer Science from the Institute of Statistical Studies and Research (ISSR) at Cairo University, reflecting his growing interest in computational systems. Building on this foundation, he completed a Pre-master program in Computer Science at Benha University in 2008. His M.Sc., awarded in 2013 from the same institution, focused on string representation for efficient mining and searching over string databases. Dr. Rashad advanced his academic career further by earning a Ph.D. in Computer Science from the University of Pannonia, Hungary, in 2018. His doctoral research centered on video-based object retrieval and recognition using lightweight devices, aligning with cutting-edge developments in image processing and computer vision. His qualifications demonstrate a consistent dedication to both theoretical and applied computing sciences.

👨‍🏫 Professional Positions

Dr. Metwally Rashad has built a robust academic career through progressive roles at Benha University, Egypt. He began as a Demonstrator in the Department of Mathematics (Computer Science), Faculty of Science, from 2004 to 2009. In 2010, he transitioned to the Faculty of Computers & Informatics, continuing as a Demonstrator in the Information System Department until 2011. His dedication and academic growth led to his promotion as an Assistant Lecturer in the same department, a position he held from 2012 to 2017. In 2018, Dr. Rashad was appointed Assistant Professor in the Information System Department, Faculty of Computers & Artificial Intelligence. Since April 2020, he has been serving as an Assistant Professor in the Computer Science Department of the same faculty. Throughout his tenure, Dr. Rashad has demonstrated strong commitment to research, education, and leadership, contributing significantly to the development of the academic and research landscape at Benha University.

🔬 Research Interests

Dr. Metwally Rashad’s research interests encompass a wide range of cutting-edge topics in computer science and artificial intelligence. He specializes in exact and approximate matching, with a strong focus on similarity search and similarity join techniques, which are vital for efficient data comparison and retrieval. His work also explores data cleaning and integration methods, enhancing the quality and usability of large datasets. Dr. Rashad is deeply engaged in database systems and data mining, aiming to extract meaningful patterns from complex data structures. His research extends into the fields of cryptography, image processing, and computer vision, where he applies innovative techniques for object recognition and image analysis. Additionally, he is active in machine learning and deep learning, leveraging these technologies to solve real-world problems. A significant portion of his work involves video processing and artificial intelligence applications, making his contributions highly relevant in today’s data-driven and multimedia-intensive landscape

📘 Teaching

Dr. Metwally Rashad has taught a wide array of undergraduate and postgraduate courses in computer science and artificial intelligence, reflecting his deep expertise and versatility as an academic. His teaching portfolio includes foundational programming languages such as C++, Java, and Matlab, as well as critical subjects like Data Structures, Algorithms, and File Structures. He has also delivered advanced courses in Artificial Intelligence, Machine Learning, and Expert Systems, along with specialized topics like Image Processing, Medical Image Processing, and Computer Vision. Dr. Rashad’s instruction covers essential theoretical areas, including Theory of Computation, Logic Design, Discrete Mathematics, and Structural Programming. He is also experienced in teaching Information Systems, Database Design, Compiler Construction, and Security. His course offerings further extend to emerging and interdisciplinary areas like Information Visualization, Multimedia, Computer Graphics, and Operations Research. This comprehensive teaching background underscores his commitment to fostering technical excellence and innovation among his students.

🏅 Grants and Awards

Dr. Metwally Rashad has been recognized for his impactful research through multiple prestigious awards and grants. He was honored with the International Publishing Prize and Citations from Benha University on two separate occasions—first in January 2018 and again in July 2020—in acknowledgment of his significant contributions to high-impact scientific publications. In addition to these accolades, Dr. Rashad secured a post-doctoral research grant from the Tempus Public Foundation (TPF), supporting his research stay at the Department of Electrical Engineering and Information Systems, Faculty of Information Technology, University of Pannonia, Hungary, from February to May 2020. These recognitions not only highlight his excellence in publishing and international collaboration but also reflect his sustained commitment to advancing knowledge in computer science and artificial intelligence. His achievements stand as a testament to his academic leadership and contribution to global research innovation.

🔍 Research Focus

Dr. Metwally Rashad’s research primarily centers around Artificial Intelligence (AI), Computer Vision, and Data-Driven Healthcare Systems, with a strong interdisciplinary approach linking image processing, machine learning, and information retrieval. His most cited works involve irony detection in Arabic tweets, medical image retrieval, video object recognition, and string similarity join algorithms—reflecting his deep engagement with natural language processing (NLP), deep learning, and visual data analytics. A recurring theme in his publications is the development of lightweight, efficient models for video summarization, emotion recognition, and 3D object retrieval, optimized for low-resource environments. Additionally, he contributes to healthcare technologies through AI-assisted diagnosis, content-based retrieval in medical imaging, and melanoma detection using deep neural networks. His research aligns with the growing global emphasis on AI for smart healthcare, secure cloud computing, and intelligent multimedia processing, making him highly suitable for recognition in advanced computational and AI-powered research categories

Publication Top Notes

📘 BENHA@ IDAT: Improving Irony Detection in Arabic Tweets using Ensemble Approach – Cited by 31 (2019) 🧠🗣️📊
📘 RbQE: An Efficient Method for Content-Based Medical Image Retrieval Based on Query Expansion – Cited by 17 (2023) 🖼️🧬📥
📘 PreJoin: An Efficient Trie-Based String Similarity Join Algorithm – Cited by 9 (2012) 🧵📚🔍
📘 View Centered Video-Based Object Recognition for Lightweight Devices – Cited by 8 (2016) 🎥🔎📱
📘 CCNN-SVM: Emotion Recognition with Custom CNNs and SVM – Cited by 7 (2024) 😊📈🧠
📘 Content-Based Medical Image Retrieval Based on Deep Features Expansion – Cited by 7 (2022) 🏥🧠🔎
📘 Use of IMUs for Video Object Retrieval in Lightweight Devices – Cited by 7 (2017) 🎥📡🤖
📘 Lightweight Active Object Retrieval with Weak Classifiers – Cited by 6 (2018) 📽️📊🧠
📘 Lightweight Video Object Recognition Based on Sensor Fusion – Cited by 5 (2015) 📹📡🔀
📘 Modern Techniques in Content-Based Medical Image Retrieval: A Survey – Cited by 4 (2022) 🏥📚📈
📘 Active Multiview Recognition with Hidden Markov Temporal Support – Cited by 4 (2021) 🧠📽️🔁
📘 Efficient String Edit Similarity Join Algorithm – Cited by 4 (2017) 🧵📝⚙️
📘 Fusion of Optical and Orientation Info in Markovian Framework for 3D Object Retrieval – Cited by 4 (2017) 🎥📐📊
📘 Automatic Melanoma Detection Using Deep Neural Networks – Cited by 2 (2024) 🧬🧠⚕️

Ali Ihsan Aygun | Energy | Best Researcher Award

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Dr. Ali Ihsan Aygun | Energy | Best Researcher Award

Dr. Ali Ihsan Aygun, Duzce University, Turkey

Dr. Ali Ihsan Aygun is an Assistant Professor at Duzce University, Turkey, specializing in ⚡power systems and smart grids. He earned his PhD in Electrical and Computer Engineering from the University of North Carolina at Charlotte 🇺🇸 with a perfect GPA of 4.00. His research focuses on electric vehicle charging optimization, smart grid control, and energy efficiency 🚗🔋. He has published extensively in prestigious IEEE journals and conferences 📚. Dr. Aygun is proficient in tools like Matlab, Simulink, and Python 🧠💻. His international academic background and impactful innovations make him a leading voice in next-generation energy systems

Publication Profile

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🎓 Education Background

Dr. Ali Ihsan Aygun holds a PhD in Electrical and Computer Engineering from the University of North Carolina at Charlotte 🇺🇸, completed in December 2022 with a perfect GPA of 4.00 🧠. He earned his MS in the same field from George Washington University, Washington DC, in 2018 with a GPA of 3.33 🎓. Prior to that, he began a second MS at Yıldız Technical University 🇹🇷 but chose to pursue international opportunities. He also completed his BSc in Electrical and Electronic Engineering from Yıldız Technical University in 2014, graduating

💼 Professional Experience

Dr. Ali Ihsan Aygun is currently serving as an Assistant Professor at Duzce University 🇹🇷 since February 2022, teaching and researching in Power Systems and Smart Grids ⚡. Previously, he was a Graduate Research Assistant at UNCC 🇺🇸, where he developed smart charging algorithms, hybrid EV routing systems 🚗🔋, and hardware testbeds for microgrid applications. As a Teaching Assistant, he supported courses like Logic and Network Lab and Network Theory 📘. Earlier, he worked as a Project Manager at Heper Moonlight Corp in Istanbul, managing lighting projects using Dialux and AutoCAD

🔬 Research Focus

Dr. Ali Ihsan Aygun’s research is centered on Electric Vehicles (EVs) 🚗🔋, Smart Grids ⚡, and Power System Optimization 📉. His work emphasizes developing intelligent charging algorithms, real-time energy management, and decentralized EV fleet control to enhance grid reliability and operational efficiency 🧠🔌. He is also involved in microgrid technologies, frequency regulation, and dynamic speed optimization within EV infrastructure 🌐⚙️. With contributions to IEEE journals and global conferences, Dr. Aygun focuses on making energy systems more sustainable, scalable, and smart through advanced computational and control methods

Publication Top Notes

📘 Centralized Charging Approach to Manage Electric Vehicle Fleets for Balanced Grid – Cited by: 10 📊 | Year: 2022 📅
📘 Inverter-Angle-Induced Optimized Frequency Regulation Approach for AC–DC Microgrids – Cited by: 7 📊 | Year: 2022 📅
📘 Optimal Hybrid Management of EV Fleet Charging & Load Scheduling – Cited by: 4 📊 | Year: 2024 📅
📘 Two-Stage Optimal EV Charging Methodology with Aggregators – Cited by: 3 📊 | Year: 2024 📅
📘 Optimal Approach to Manage EV Fleets Routing – Cited by: 3 📊 | Year: 2022 📅
📘 ADMM-Based Optimal EV Fleets Charging in Active Distribution Network – Cited by: 2 📊 | Year: 2022 📅
📘 Smart Charging Algorithms for EVs: Addressing Grid Stress – Year: 2024 📅
📘 Distributed Generation Approach with Charging Stations – Year: 2024 📅
📘 Dynamic Speed Optimization for Electric Vehicles – Year: 2024 📅
📘 Optimal Energy Management of Power Grid with EVs & Flexible Loads – Year: 2023 📅

Sheeraz Iqbal | Renewable Energy | Best Researcher Award

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Dr. Sheeraz Iqbal | Renewable Energy | Best Researcher Award

Dr. Sheeraz Iqbal, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia, Saudi Arabia

Dr. Sheeraz Iqbal 🎓 is an Assistant Professor in Electrical Engineering at the University of Azad Jammu and Kashmir, Muzaffarabad 🇵🇰. He earned his Ph.D. from North China Electric Power University, specializing in smart grids and electric vehicles ⚡🚗. Currently a Postdoctoral Fellow at King Fahd University of Petroleum and Minerals, Saudi Arabia 🇸🇦, he leads research on renewable energy, microgrids, and AI-driven energy management 🌞🤖. Dr. Iqbal serves as Chief Editor of the International Journal of Electrical and Electronic Engineering 📝 and supervises innovative projects on EV charging and solar tech ☀️🔋. He has over 1200 citations and active roles in academia and industry liaison.

Publication Profile

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🎓 Education Background

Dr. Sheeraz Iqbal completed his Ph.D. in Electrical Engineering from North China Electric Power University, Beijing, China (2017–2020) 🇨🇳. Prior to that, he earned an MS in Electronic Engineering from the International Islamic University, Islamabad, Pakistan (2011–2014) 🇵🇰. His foundational degree is a Bachelor’s in Telecommunication Engineering from the Institute of Engineering and Technology, Allama Iqbal Open University, Islamabad (2006–2010) 📡. He completed his Higher Secondary School Certificate in Computer Science at Govt. Gordon College Rawalpindi (2003–2005) 💻 and attended Secondary School at High School Patola Rawalakot, AJK (2001–2003)

🔬 Research Interests

Dr. Sheeraz Iqbal’s research focuses on modern power systems ⚡ and smart grid/microgrid technologies 🏙️. He explores renewable energy system design 🌱, virtual power plants 🏭, and electric vehicles 🚗, including advanced energy forecasting and modeling 📊. His work includes innovations in Vehicle-to-Grid (V2G) technology 🔄, transactive energy 💹, and demand response mechanisms 📉. Dr. Iqbal is passionate about sustainable and clean energy solutions 🌞, especially solar-powered EV charging stations 🔋. Additionally, he integrates artificial intelligence 🤖 and machine learning 📈 to optimize energy management systems for a smarter and greener future

📘 Teaching, Research & Professional Experience

Dr. Sheeraz Iqbal is currently a Postdoctoral Fellow at the Interdisciplinary Research Center of Sustainable Energy Systems, KFUPM, Saudi Arabia 🏫. He served as Assistant Professor at the University of Azad Jammu and Kashmir 🇵🇰 (2020–2024) and as Lecturer (2014–2017) 🎓. He holds roles as Director of the Industrial Liaison Office 🔗, Technical Coordinator 🎛️, and Focal Person for ORIC 📑. He is Editor-in-Chief of IJEW 📝 and contributes to national curriculum development 📚. Earlier, he gained industry experience with PTCL Islamabad in NGN Switching ⚙️. Dr. Iqbal supervises MS/BS research and chairs key academic committees 🧠

🔍 Research Focus

Dr. Sheeraz Iqbal’s research lies at the intersection of smart grid systems ⚡, electric vehicles (EVs) 🚗🔋, renewable energy integration ☀️, and frequency regulation 📉📈. He specializes in microgrid stability, V2G technology, and AI-based control strategies 🧠💻. His work also addresses virtual power plants, demand response, and solar-based EV charging infrastructure ☀️🔌. He explores energy forecasting, cybersecurity in smart grids 🔐, and machine learning for energy systems 🤖. His research significantly contributes to sustainable energy 🌱 and grid resilience, making him a key figure in the development of clean, intelligent, and future-ready power systems

Publication Top Notes

  • 📊 Adaptive and fuzzy PI controllers for frequency regulation in microgrids with EVs – IEEE Access, 110 citations, 2020

  • ⚡ Virtual synchronous generator control for grid-connected PV – Int. J. Elec. Power & Energy Systems, 108 citations, 2021

  • 🚗 EV integration impacts on power grids: A review – IEEE Conf. on Energy Internet, 107 citations, 2018

  • 🔁 Frequency regulation with EVs & energy storage using adaptive/MPC – IEEE Access, 86 citations, 2021

  • 🔌 EV aggregation for primary frequency control in industrial microgrid – IEEE Access, 86 citations, 2020

  • 🔄 V2G for frequency control in industrial microgrid with station operator – Electronics, 68 citations, 2020

  • ☀️ Solar PV system feasibility at King Abdullah Campus (AJK) – IEEE Access, 65 citations, 2022

  • ⚙️ Modified LAPO for FACTS device allocation – IEEE Access, 47 citations, 2021

  • 📚 Review on EV-to-grid for frequency control in microgrids – IEEE CIEEC, 46 citations, 2018

  • 🧠 ANN-based adaptive droop control for EV battery management – Int. J. Energy Research, 41 citations, 2023

Nedaa Al-Tawalbeh | Renewable energy | Best Researcher Award

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Dr. Nedaa Al-Tawalbeh | Renewable energy | Best Researcher Award

Dr. Nedaa Al-Tawalbeh, Al al-Bayt University, Jordan

Dr. Nedaa Al-Tawalbeh is an Assistant Professor in the Department of Renewable Energy Engineering at Al al-Bayt University, Jordan. 🇯🇴 She holds a Ph.D. in Renewable Energy Engineering from Universiti Putra Malaysia, with expertise in solar energy, photovoltaics, hybrid PV/T systems, and smart grids. ⚡ She has authored multiple high-impact publications and contributes to cutting-edge research in MPPT algorithms and energy optimization. 🧠 Fluent in Arabic and English, she also excels in tools like MATLAB, Simulink, and DSP programming. ✨

Publication Profile

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🎓 Academic Qualifications

Dr. Nedaa Al-Tawalbeh holds a Ph.D. in Renewable Energy Engineering–Solar Energy (2019–2022) from Universiti Putra Malaysia, where she specialized in photovoltaic systems and developed her thesis on advanced maximum power point tracking techniques using modified, hybrid, and trapezoidal rule approaches ⚡🔋. She earned her Master’s degree in Electrical Engineering (2014–2016) from Princess Sumaya University for Technology (PSUT), Amman, Jordan, and completed her Bachelor’s degree in Electronics Engineering (2006–2011) from Yarmouk University, Hijjawi Faculty for Engineering 🔌📘. Her academic journey reflects strong expertise in solar and sustainable energy technologies

💼 Employment History

Dr. Nedaa Al-Tawalbeh is currently serving as an Assistant Professor at Al al-Bayt University in the Department of Renewable and Sustainable Energy (2022–present) 🏫🔋. From 2019 to 2022, she worked as a researcher at the Advanced Lightning, Power and Energy Research (ALPER) Centre, Universiti Putra Malaysia, contributing to cutting-edge renewable energy projects ⚡🔬. Earlier, she served as a Teaching Assistant in the Electrical Engineering Department at Princess Sumaya University (2014–2016), supporting academic development in engineering education 📘👩‍🏫. She is fluent in both Arabic (native) and English 🌐🗣️, enabling effective communication in diverse academic and research environments.

🛠️ Technical Skills

Dr. Nedaa Al-Tawalbeh possesses a robust set of technical skills in electronics, programming, and renewable energy systems ⚙️💡. She is an expert in Texas Instrument (TMS320F28335) and Arduino DSPs 🔧📟. Her software expertise includes Code Composer Studio, MATLAB, Simulink, and renewable energy tools 🖥️📊. She is proficient in Cadence, Synopsis, and HSPICE tools for circuit design and analysis, along with PCB design and simulation software such as Proteus and Fritzing 🔬🔌. Additionally, she is skilled in LaTeX, BibTeX, Microsoft Office, Mathematica, Maple, and C++ programming 💾🧠, making her a versatile engineer in both hardware and software domains.

🔬 Research Focus

Dr. Nedaa Al-Tawalbeh’s research primarily centers on renewable energy systems, particularly solar photovoltaic (PV) technologies ☀️🔋. Her expertise includes maximum power point tracking (MPPT) algorithms, hybrid PV-thermoelectric systems, and adaptive control techniques for energy optimization ⚡📈. She also explores smart grid reliability, electricity theft detection using AI, and processor-in-loop testing for energy systems 🧠💡. With significant contributions to power electronics, energy conversion, and intelligent controllers, Dr. Al-Tawalbeh bridges hardware implementation with AI-driven solutions for sustainable energy applications 🌍🔌. Her interdisciplinary work spans engineering, sustainability, and smart energy systems

Conclusion

Dr. Nedaa Al-Tawalbeh is a highly qualified and impactful researcher in the field of renewable and sustainable energy, particularly in solar and photovoltaic systems. Her academic background, robust publication record, technical skills, and international collaborations make her a strong and deserving nominee for the Research for Best Researcher Award. Her work not only advances scientific understanding but also contributes toward global efforts in clean and efficient energy utilization.

Publication Top Notes

📄 Maximizing energy harvesting in grid‐connected hybrid PV and TEG systems – Environmental Progress & Sustainable Energy 📅 2025 🔗 [DOI:10.1002/ep.14621] 📑 Cited by: pending

📄 Novel initialization strategy for global MPPT optimization – Results in Engineering 📅 2024 🔗 [DOI:10.1016/j.rineng.2024.102067] 📑 Cited by: Scopus-indexed

📄 Intelligent Runge Kutta control for thermoelectric power – Energy Conversion and Management: X 📅 2024 🔗 [DOI:10.1016/j.ecmx.2024.100612] 📑 Cited by: pending

📄 Federated learning model for electricity theft detection – Energy Reports 📅 2023 🔗 [DOI:10.1016/j.egyr.2023.09.100] 📑 Cited by: Scopus-indexed

📄 Trapezoidal rule-based MPPT algorithm – Energy Conversion and Management 📅 2022 🔗 [DOI:10.1016/j.enconman.2022.115738] 📑 Cited by: Scopus-indexed

📄 Trapezoidal MPPT under complex shading – PECon 2020 Conference 📅 2020 🔗 [DOI:10.1109/PECon48942.2020.9314467] 📑 Cited by: Scopus-indexed

📄 Hybrid approach for PV power extraction – Sustainability 📅 2020 🔗 [DOI:10.3390/su12145786] 📑 Cited by: 90+

📄 Enhanced adaptive P&O technique for MPPT – Applied Sciences 📅 2020 🔗 [DOI:10.3390/app10113912] 📑 Cited by: 60+

📄 Small-signal gain in CMOS analog amplifier – ICM Conference 📅 2016 🔗 [DOI:10.1109/ICM.2015.7437993] 📑 Cited by: 5+

Maria Carmen Asensio | Energy | Women Researcher Award

Published on by Global Academic Awards

Prof. Maria Carmen Asensio | Energy | Women Researcher Award

Prof. Maria Carmen Asensio, Materials Science Institute of Madrid – CSIC, Spain

Prof. Maria Carmen Asensio is a leading solid-state physicist and Permanent Research Staff at the Institute of Material Science of Madrid (ICMM-CSIC), Spain. She is the co-founder of the Research Associated Unit MATINÉE and a global expert in synchrotron radiation techniques. Her innovations include the development of the nanoARPES technique for chemical and electronic imaging. With over 265 publications and more than 11,500 citations, she is recognized internationally for her contributions to condensed matter physics. Her collaborative work spans multiple prestigious institutions across Europe, and she plays key roles in scientific leadership, editorial boards, and European research evaluation panels. 🌍📚

Publication Profile

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Google Scholar

🎓 Education

Prof. Asensio began her academic journey in Argentina, where she earned her foundational degrees in physics. She further advanced her academic career in Europe, undertaking postdoctoral research at the University of Warwick (UK) and the Fritz Haber Institute of the Max Planck Society (Germany). Her interdisciplinary training across premier European laboratories solidified her expertise in spectroscopic methods and materials science. This diverse academic foundation equipped her with the skills to pioneer advanced techniques in synchrotron-based photoemission and solid-state physics, culminating in significant contributions to the electronic structure of novel materials. 🎓🇦🇷🇬🇧🇩🇪

💼 Experience

Prof. Asensio has held prestigious roles including Senior Lecturer at the Autonomous University of Madrid, and postdoctoral fellow at Warwick and the Fritz Haber Institute. Since 1992, she has been a senior member of the GREENER group at ICMM-CSIC, Spain. She has directed major European research projects, chaired the IUVSTA Surface Science Division since 2016, and served as Scientific Director of IUVSTA from 2004 to 2007. As an evaluator for the European Research Council (ERC) and editorial board member of several journals, she has contributed significantly to research governance and scientific development across Europe. 🧪🌐

🏆 Awards and Honors

Prof. Asensio has received six SEXENIOS (Exceptional Productivity Supplements) from the Spanish Government in recognition of sustained research excellence. She was elected Scientific Director of IUVSTA and currently chairs its Surface Science Division. She has supervised numerous award-winning PhD theses and postdoctoral researchers supported by prestigious programs like Marie Curie and CNRS. Her impactful publication on silicene alone has over 3600 citations. Her continuous recognition by institutions like the ERC and international journals underscores her global scientific influence and the pioneering quality of her work in photoemission and advanced materials. 🥇🔖

🧪 Research Focus

Prof. Asensio’s research centers on the electronic and structural characterization of advanced materials using synchrotron radiation techniques such as ARPES, SR-PES, and XAS. Her groundbreaking work in developing nanoARPES allows for nanoscale chemical and electronic imaging. She investigates Fermi surface topology, low-dimensional materials, and electronic instabilities at surfaces and interfaces. Her studies have advanced understanding of graphene, silicene, and other 2D systems, making her a global leader in condensed matter physics and spectroscopic innovation. Her work bridges fundamental physics with instrumentation development for next-generation materials. 🔬📡📊

Publication Top Notes

📖 Silicene: compelling experimental evidence for graphenelike two-dimensional silicon 🔢 4280 📅 2012
📖 Band Alignment and Minigaps in Monolayer MoS₂-Graphene van der Waals Heterostructures 🔢 366 📅 2016
📖 Towards high quality CVD graphene growth and transfer 🔢 339 📅 2015
📖 Quasicrystalline 30° twisted bilayer graphene as an incommensurate superlattice 🔢 245 📅 2018
📖 Evidence of Dirac fermions in multilayer silicene 🔢 233 📅 2013
📖 Black arsenic: a layered semiconductor with extreme in‐plane anisotropy 🔢 232 📅 2018
📖 Topology of the Pseudogap and Shadow Bands in cuprates at optimum doping 🔢 231 📅 1997
📖 Dynamical fluctuations as the origin of a surface phase transition in Sn/Ge(111) 🔢 221 📅 1999
📖 Direct Observation of Interlayer Hybridization in Graphene/MoS₂ heterostructures 🔢 204 📅 2015
📖 Charge Density Wave State Suppresses Ferromagnetic Ordering in VSe₂ Monolayers 🔢 189 📅 2019
📖 Self-aligned silicon quantum wires on Ag(110) 🔢 180 📅 2005
📖 Polycrystalline graphene with single crystalline electronic structure 🔢 176 📅 2014
📖 Observation of a 2D liquid of Fröhlich polarons at SrTiO₃ surface 🔢 172 📅 2015
📖 Chitosan-coated MIL-100(Fe) nanoparticles as bio-compatible nanocarriers 🔢 162 📅 2017