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.

Marwa Mohamed | Electrochemical Energy | Best Researcher Award

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Assoc. Prof. Dr. Marwa Mohamed | Electrochemical Energy | Best Researcher Award

City of Scientific Research and Technological Applications | Egypt

Assoc. Prof. Dr. Marwa Mohamed is an accomplished researcher and academic in Materials Engineering and Science, holding a B.Sc. in Chemical Engineering, M.Sc., and Ph.D. from Alexandria University. Her Ph.D. focused on novel metal alloy/polymer nanocomposites for engineering applications, reflecting her strong foundation in advanced materials and nanotechnology. With 20 high-quality publications, 243 citations, and an h-index of 8, she has made significant contributions to the synthesis and characterization of graphene derivatives, polymer and metal oxide nanocomposites, and Fe-Ni nanomaterials. Her research emphasizes green and eco-friendly methodologies, including facile chemical synthesis of metallic nanomaterials, development of high-performance supercapacitors, and structural materials for aerospace, automotive, and renewable energy applications. Assoc. Prof. Dr. Marwa Mohamed has actively collaborated with international institutions, such as Georgia Institute of Technology, and industrial partners, demonstrating practical impact alongside academic excellence. She has directed multiple graduate theses, led funded research projects exceeding several million EGP, and co-organized workshops and conferences to advance knowledge dissemination. A recognized peer reviewer for top journals, she also actively engages in scientific societies and promotes innovation in materials science. Fluent in English and Arabic, with strong computational and analytical skills, Assoc. Prof. Dr. Marwa Mohamed combines research excellence, mentorship, and interdisciplinary collaboration, establishing herself as a leading figure in sustainable materials engineering.

Profile: Scopus | Orcid

Featured Publications

Mohamed, M. A. A., Adel, M., & El Nady, J. (2025). High‐performance solid‐state supercapacitors based on eco‐friendly N‐doped graphene-like nanosheets/nanosized NiCo oxide nanocomposite produced by green facile technology. Energy Technology.

Mohamed, M. A. A., Adel, M., & El Nady, J. (2024). Evaluation of the electrochemical energy storage performance of symmetric supercapacitor devices based on eco-friendly synthesized nitrogen-doped graphene-like derivative electrodes from the perspective of their nanostructural characteristics. Energy Advances.

Adel, M., Hassan, D., Mohamed, M. A. A., Kassem, T. S. E., Fetouh, H. A., AbdElhafez, S. E., & El Nady, J. (2024, November 8). Role of synthetic process parameters of nano-sized cobalt/nickel oxide in controlling their structural characteristics and electrochemical energy performance as supercapacitor electrodes. Scientific Reports.

Mohamed, M. A. A., Abd El-Aziz, A. M., & Adel, M. (2024, May 6). Advances in green production of two-dimensional graphene-derivatives-based polymer composites with overview on their physicochemical characteristics and applications prospects. In G. Singh, R. P. Singh, N. Sharma, & J. P. Davim (Eds.), Green Composites Manufacturing (Adv. Compos. Ser., Ch. 9, pp. 199–256). De Gruyter.

Mohamed, M. A. A., Adel, M., & Abd El-Aziz, A. M. (2023, November). Recent trends in two-dimensional graphene derivatives-based composites: Review on synthesis, properties and applications. Journal of Composite Materials, 57(27), 4327–4364.

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.

Paula Miranda | Energy Law | Best Researcher Award

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Ms. Paula Miranda | Energy Law | Best Researcher Award

Pontifical Javierian University | United States

Ms. Paula Miranda is an accomplished lawyer and researcher based in Miami, Florida, specializing in energy, environmental, and sustainable development law. She is completing her Master of Laws at Georgetown University Law Center, having received merit scholarships from Georgetown Law, the International Bar Association, and Colfuturo. She holds a specialization in Mining, Energy, and Sustainable Development Law from Universidad de Los Andes, where she ranked first in her class, and a law degree from Pontificia Universidad Javeriana, recognized for outstanding academic performance and multiple moot court awards. Ms. Paula Miranda has extensive professional experience, including international law clerkships at Holland & Knight, associate roles in oil and gas litigation, corporate law, and public defense in Colombia, and co-founding a think tank on energy transformation, focusing on sustainable energy access for indigenous communities. She has published scholarly articles in antitrust and energy law, contributed to Elsevier’s Energy Research & Social Science, and actively participates in conferences and podcasts on energy transition, demonstrating a strong record of research, leadership, and societal impact.

Profile: Scopus

Featured Publications

Miranda, P. (2025). From promise to pitfall? How interventions by non-governmental organizations can exacerbate energy vulnerability in Colombian off-grid communities. Energy Research & Social Science. Elsevier.

Karam Khairullah | Energy | Best Researcher Award

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Dr. Karam Khairullah | Energy | Best Researcher Award

Dr. Karam Khairullah | University of Malaya | Malaysia

Dr. Karam Khairullah is a distinguished researcher in electrical engineering with a PhD from Universiti Teknologi Malaysia, a master’s degree in control systems from Universiti Teknikal Malaysia Melaka where he was recognized as the best postgraduate student, and a bachelor’s degree in power and machines engineering from the University of Mosul. His research interests span metaheuristic and bio-inspired algorithms, artificial intelligence, renewable energy, photovoltaic systems, maximum power point tracking, grid-connected solar systems, storage technologies, power system protection, wireless power transfer, fuel cells, electric vehicles, and energy efficiency. He has published extensively in high-impact Q1 and Q2 journals, contributing innovative methods for power optimization and renewable energy integration. Professionally, he has lectured at the University of Mosul and currently serves as a Postdoctoral Fellow at the University of Malaya. With prior industry experience in telecommunications and expertise in advanced simulation tools, he combines academic excellence with applied engineering innovation.

Publication Profile

Scopus

Orcid

Google Scholar

Educational Background

Dr. Karam Khairullah has built a strong academic foundation in the field of electrical engineering through his distinguished educational journey. He earned his Doctor of Philosophy in Electrical Engineering from Universiti Teknologi Malaysia, where he specialized in advanced research areas that align with renewable energy and intelligent control systems. Prior to this, he completed his Master’s degree in Electrical Engineering with a focus on control systems at Universiti Teknikal Malaysia Melaka, where he was honored as the best postgraduate student, reflecting both his academic excellence and dedication to innovation. His educational path began with a Bachelor’s degree in Electrical Engineering with a specialization in power and machines from the University of Mosul, which provided him with a solid technical base in electrical systems and energy applications. Collectively, his academic achievements highlight a consistent pursuit of excellence and a commitment to advancing knowledge in electrical engineering and renewable energy technologies.

Professional Experience

Dr. Karam Khairullah has gained extensive experience in both academia and industry, combining teaching, research, and practical engineering expertise. In the academic field, he served as a lecturer at the University of Mosul in the Faculty of Engineering, where he contributed to educating future engineers and advancing research initiatives. He is currently a Postdoctoral Fellow in the Department of Electrical Engineering at the University of Malaya, where his focus lies in renewable energy, control systems, and intelligent optimization techniques. Alongside his academic career, Dr. Karam has professional experience in the telecommunications sector, having worked with major companies. His expertise includes microwave implementation and operations with Huawei and Nokia Siemens systems, BTS installation, and hardware maintenance. He has also worked with various industry-standard software platforms, including Huawei U2000, NSN license manager, Ericsson OMT, and Putty-based systems, reflecting his strong technical background and multidisciplinary capabilities.

Research Focus

Dr. Karam Khairullah’s research focus lies in the advancement of renewable energy systems, intelligent optimization techniques, and power electronics. His work predominantly centers on the development of maximum power point tracking strategies for photovoltaic systems under varying and complex conditions, such as partial shading and load fluctuations. By integrating artificial intelligence, bio-inspired algorithms, and metaheuristic approaches, he has contributed significantly to enhancing the efficiency, reliability, and adaptability of solar energy technologies. His research also extends to hybrid energy management systems, including PV-battery storage-grid integration for electric vehicle charging, demonstrating his commitment to sustainable energy solutions. Moreover, his studies in intelligent fault detection and control mechanisms for power transmission systems highlight his broader contribution to power system protection and stability. Collectively, his research addresses critical challenges in renewable energy utilization and power optimization, positioning him as a leading contributor to the fields of energy efficiency, smart grid systems, and sustainable electrification.

Publication Top Notes

A modified perturb and observe MPPT for a fast and accurate tracking of MPP under varying weather conditions
Year: 2023
Citations: 45

Improved coot optimizer algorithm-based MPPT for PV systems under complex partial shading conditions and load variation
Year: 2024
Citations: 37

Improved rat swarm optimizer algorithm-based MPPT under partially shaded conditions and load variation for PV systems
Year: 2022
Citations: 37

Power management and optimized control of hybrid PV-BESS-grid integrated fast EV charging stations
Year: 2024
Citations: 35

Hybrid global maximum power tracking method with partial shading detection technique for PV systems
Year: 2021
Citations: 32

Conclusion

Dr. Karam Khairullah stands out as an innovative and prolific researcher whose contributions to renewable energy systems, control algorithms, and power electronics have significantly advanced the field. With his blend of academic excellence, impactful publications, and applied expertise, he is a highly suitable candidate for the Research for Best Researcher Award, reflecting strong merit and future potential.

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

Google Scholar

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

Google Scholar

🎓 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

Google Scholar

🎓 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 📅

Mehran Heidari | Energy | Best Researcher Award

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Dr. Mehran Heidari | Energy | Best Researcher Award

Mehran Heidari is a dynamic electrical power systems researcher and engineer ⚡ with expertise in smart grids, renewable energy 🌱, and hybrid energy systems. He holds an M.Sc. from Shiraz University of Technology and has published impactful studies in top journals like IET Renewable Power Generation and Results in Engineering 📚. With hands-on experience in power distribution design and a strong background in optimization, deep learning 🤖, and energy storage, he bridges academic research and real-world solutions. Mehran is also an active peer reviewer and international conference contributor 🌍, aiming to advance sustainable energy solutions for remote and urban communities.

Publication Profile

Scopus

Academic Background

Mehran Heidari is a skilled electrical power systems engineer ⚡ with a solid academic foundation. He earned his Bachelor’s degree in Electrical Engineering from Hadaf Higher Education Institution and completed his M.Sc. in Power Systems at Shiraz University of Technology 🎓. Alongside his technical studies, he pursued advanced English training at Safir Language Institute, earning top honors with a 97/100 average 🏅. His education blends deep theoretical knowledge with practical application, covering topics like smart grids, optimization, and energy storage 🔋. Currently, he is preparing for the IELTS exam in Türkiye, further enhancing his global academic engagement 🌍.

Professional Background

Mehran Heidari brings a diverse range of professional experiences in the energy and education sectors ⚡📘. He has worked with Tehran and North Electricity Distribution Companies, focusing on the design and implementation of 20 kV lines and power distribution systems for agricultural and public areas 🛠️. His hands-on engineering work is complemented by his role as a dedicated educator, teaching Mathematics, Physics, Chemistry, and English to students from high school to university level 🎓✏️. Mehran’s practical field expertise, combined with his academic insights, allows him to develop sustainable, innovative solutions for real-world energy challenges 🌱🔋.

Awards and Honors

Mehran Heidari has been recognized for his academic and professional excellence in the field of electrical engineering ⚡. He ranked an impressive 523rd among nearly 100,000 candidates in Iran’s national master’s entrance exam for electrical power engineering 📊🎓. He has served as a reviewer for the prestigious Applied Energy journal and was honored as a technical reviewer at the 8th International Conference on Mechanical, Electric, and Industrial Engineering (MEIE 2025) in Taiyuan, China 🌍📑. These accolades reflect his commitment to advancing knowledge, supporting scholarly work, and contributing to the global engineering community 🌐💡.

Research Focus

Mehran Heidari’s research centers on smart grids, hybrid energy systems, and renewable power integration ⚡🌱. His work explores the techno-economic optimization of energy solutions for remote and low-urbanized areas, combining simulation-based analysis with sustainability goals 📈🏞️. He is deeply involved in advanced topics such as battery storage systems 🔋, emission reduction 🌍, and demand-side management, utilizing modern tools like MILP and deep learning 🤖. His publications in top journals reflect a strong commitment to clean energy innovation, cost-effective system design, and future-ready power infrastructures, making significant contributions to the global energy transition 🌐⚙️.

Publication Top Notes

  • 📘 Integrated Battery Model in Cost‐Effective Operation and Load Management of Grid‐Connected Smart Nano‐Grid – Heidari M et al. (2019) [Cited by: 📈 check at IET]

  • 📘 Techno-Economic Optimization for Sustainable Energy in Remote Communities – Heidari M et al. (2024) [Cited by: 📈 check at Elsevier]

  • 📘 Synergistic Ecological and Economic Energy Solutions for Low-Urbanized Areas – Heidari M et al. (2024) [Cited by: 📈 check at AIMS]

  • 📘 Robust Modified Adaptive PI-Based Controller in AC Microgrids – Heidari M et al. (2025) [Cited by: 📈 check at Elsevier]

  • 📘 Cost-Based Optimization of DG and Capacitor Placement in Dynamic Load Networks – Heidari M et al. (2025) [Cited by: 📈 check at Energy Reports]

  • 📘 Comparative Analysis of MPPT Techniques in PV Systems Under Shading – Heidari M et al. (2025) [Cited by: 📈 check at SSRN]

  • 📘 Refining Hybrid Energy Systems: PV Sustainability & Battery Cost Efficiency in Remote Areas – Heidari M et al. (2025) [Cited by: 📈 check at Elsevier]

Conclusion

Mehran Heidari is a promising candidate for early-career or emerging researcher awards, with a strong profile that combines consistent peer-reviewed research, interdisciplinary focus, and international collaboration 🌍📚. His work spans energy systems, microgrids, optimization, and sustainability ⚡🌱, addressing some of today’s most critical global challenges. He brings practical engineering experience in real-world power system implementation and has co-authored with international teams across Europe and Asia 🤝. As a reviewer for respected venues like Applied Energy and MEIE 2025, Mehran is gaining recognition in the academic community, making him a highly suitable nominee for research excellence awards 🏅.

 

Kyuil Kwak | Energy | Industry Impact Award

Published on by Global Academic Awards

Mr. Kyuil Kwak | Energy | Industry Impact Award

Mr. Kyuil Kwak, Korea University, South Korea

Kyuil Kwak is a Ph.D. candidate in Energy & Environment Policy at Korea University, specializing in energy system modeling, environmental economic assessment, and behavioral science. 🌱🔋 He holds a Master’s in Atmospheric Chemistry, focusing on air quality and PM2.5 source apportionment, and a Bachelor’s in Mechanical Engineering. 🚗🌬️ Kyuil has contributed to major research projects on carbon neutrality, energy storage optimization, and air pollutant emission inventories. 📊⚙️ He has published extensively on renewable energy strategies and community acceptance of hydrogen technology. Kyuil also has experience as a researcher and teaching assistant, mentoring undergraduates and supporting environmental policy research.

Publication Profile

Google Scholar

Education 🎓

Kyuil Kwak is currently a Ph.D. candidate in Energy & Environment Policy at Korea University (since 2022), specializing in energy system modeling, economic assessment, behavioral science, and innovation policy under Prof. JongRoul Woo. He earned his Master’s degree in Atmospheric Chemistry from Korea University (2018–2020), where his thesis focused on source apportionment of PM2.5 emissions at the Socheongcho Ocean Research Station, studying air quality and greenhouse gases in North-East Asia. Previously, he completed a Bachelor of Mechanical Engineering at Hongik University (2010–2017), with a project on vehicle crashworthiness using computational analysis, emphasizing impact efficiency and design optimization.

Work Experience 💼

Kyuil Kwak has extensive experience in research and mentoring roles. Since 2022, he works as a Research and Teaching Assistant at Korea University, supporting courses in calculus and energy system modeling, and mentors undergraduates in the Integrative Energy Engineering Department. Previously, he was a researcher at The Seoul Institute (2020–2022), focusing on environmental policies and air quality modeling for Seoul City Hall. He also managed ocean research projects and taught Earth Science labs at Korea University (2018–2020). Kyuil contributed to wood engineering research at the National Institute of Forest Science (2017), assisted in fuel pump development at Korea Automotive Technology Institute (2016), and served in the Korea Army in landmine reconnaissance (2013–2015).

Awards and Grants 🏆

Kyuil Kwak has received several prestigious awards and scholarships throughout his academic career. In 2023, he was honored as the Student of the Year (2022) at the Graduate School of Energy and Environment, Korea University. He earned scholarships for his roles as a Teaching and Research Assistant in 2022 and also in 2018 and 2019 from the Department of Earth and Environmental Science, Korea University. Additionally, in August 2016, Kyuil was a finalist in the 6th Student Creative Design Competition, showcasing his skills in mechanical design. These recognitions highlight his dedication and excellence in both academics and research. 🎓✨

Research Focus Areas 🔬🌍⚡

Kyuil Kwak’s research spans diverse fields including environmental science, energy policy, and atmospheric chemistry. His work focuses on energy system modeling and sustainable energy transitions, as reflected in projects like PyPSA-Korea for Korea’s electricity network planning. He investigates air quality issues, particularly PM2.5 pollution and ozone formation, through atmospheric chemistry studies and source apportionment in marine and urban environments. Additionally, Kwak contributes to policy analysis on electric vehicle adoption and hydrogen refueling infrastructure. Earlier research also includes geotechnical engineering related to scour rate predictions. Overall, his interdisciplinary expertise bridges energy, environment, and policy for sustainable development.

Publication Top Notes

  • Erosion function apparatus for scour rate predictions – JL Briaud, FCK Ting, HC Chen, Y Cao, SW Han, KW Kwak | 661 citations | 2001 ⚙️🌊

  • Multiflood and multilayer method for scour rate prediction at bridge piers – JL Briaud, HC Chen, KW Kwak, SW Han, FCK Ting | 120 citations | 2001 🌉📊

  • Effects of policy instruments on electric scooter adoption in Jakarta, Indonesia – S Choi, K Kwak, S Yang, S Lim, JR Woo | 22 citations | 2022 🛴📈

  • The SRICOS-EFA Method, Summary Report – JL Briaud, HC Chen, KA Chang, SJ Oh, S Chen, J Wang, Y Li, K Kwak | 14 citations | 2011 📑🔧

  • The role of HONO in O3 formation during KORUS-AQ Campaign – J Gil, J Kim, M Lee, G Lee, D Lee, J Jung, J An, J Hong, S Cho, J Lee, … | 12 citations | 2019 🌫️🔬

  • Analyzing community acceptance of hydrogen refueling stations in South Korea – K Kwak, JR Woo, J Ahn | 1 citation | 2024 ⛽💡

  • PyPSA-Korea: Open-source energy system model for Korea’s sustainable energy transition – K Kwak, W Son, YH Yang, JR Woo | 0 citations | 2025 ⚡🌍

  • Unlocking Peak Shaving: How EV driver heterogeneity shapes V2G potential – S Yun, JR Woo, K Kwak | 0 citations | 2025 🔋🚗

  • PyPSA-KR: Energy system modelling of Korean electricity network – K Kwak | 0 citations | 2024 ⚡🖥️