Mohamed Nayel | Electric Power System | Best Industrial Research Award

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Best Industrial Research Award

Mohamed Nayel
Affiliation Assiut University
Country Egypt
Google Scholar ID Pv6_jnwAAAAJ
Documents 154
Citations 889
h-index 15
Subject Area Electric Power System
Event Global Academic Awards

Mohamed Nayel

Assiut University, Egypt

Mohamed Nayel of Assiut University, Egypt, is acknowledged for his academic engagement and research productivity in the field of Electric Power Systems, contributing to advancements in efficiency, stability, and modernization of energy infrastructures [1].

Abstract

This article presents a scholarly overview of Mohamed Nayel’s academic profile in relation to the Best Industrial Research Award under the Global Academic Awards framework. His research contributions in Electric Power Systems emphasize optimization, system stability, and industrial applicability. With a publication record spanning 154 documents and 889 citations, his academic trajectory reflects sustained engagement in energy systems research and applied engineering solutions [2].

Keywords

Electric Power System, Industrial Research, Energy Optimization, Smart Grid, Power Stability, Engineering Innovation.

Introduction

Industrial research in electrical engineering plays a critical role in modern infrastructure development. The Best Industrial Research Award highlights researchers who bridge theoretical innovation and industrial application. Mohamed Nayel’s academic work at Assiut University reflects contributions aligned with evolving energy system demands, particularly in optimizing electric power networks and improving operational reliability.

Research Profile

Mohamed Nayel’s research profile demonstrates consistent productivity in engineering and applied sciences. His work is primarily centered on Electric Power Systems, including grid performance, load management, and system efficiency. The academic output indicates interdisciplinary integration of computational methods and electrical engineering principles.

Research Contributions

His contributions include advancements in power system modeling, stability enhancement techniques, and optimization strategies for energy distribution networks. These contributions are relevant to industrial applications where reliability and efficiency are critical performance indicators.

Publications

The researcher has authored 154 scientific documents indexed in academic databases, with a citation count of 889 and an h-index of 15. These metrics indicate a moderate-to-strong academic influence within the field of electric power engineering.

Research Impact

The research impact of Mohamed Nayel is reflected in citation performance and relevance to industrial electrical systems. His work contributes to improving energy efficiency frameworks and supporting sustainable power system development in engineering applications.

Award Suitability

The Best Industrial Research Award recognizes researchers whose work demonstrates practical industrial relevance. Mohamed Nayel’s academic output in Electric Power Systems aligns with these criteria through applied research contributions and measurable academic impact.

Conclusion

The academic profile of Mohamed Nayel reflects sustained contributions to electrical engineering research. His work supports the advancement of industrial power systems and aligns with the objectives of the Best Industrial Research Award under Global Academic Awards.

External Links

References

  1. Scholar author details: Mohamed Nayel, Author ID Pv6_jnwAAAAJ. Scholar. https://scholar.google.com/citations?hl=en&user=Pv6_jnwAAAAJ&view_op=list_works&sortby=pubdate
  2. Global Academic Awards. (2026). Best Industrial Research Award – Official Description and Criteria. https://globalacademicawards.com/

Qingnuan Zhang | Electrochemical Energy | Research Excellence Award

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Prof. Qingnuan Zhang | Electrochemical Energy | Research Excellence Award

Prof. Qingnuan Zhang of Inner Mongolia University is a leading researcher in electrochemical energy storage, with 1,751 citations across 22 publications and an h-index of 16. His work focuses on advanced lithium-ion battery technologies, including polymer electrolyte-mediated interfacial chemistry and innovative separator design. These contributions enhance battery performance, safety, and efficiency, reflecting strong impact and collaboration within the global energy materials research community.

Citation Metrics (Scopus)

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Citations 1751

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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.

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

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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

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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.

 

 

Shahab Khameneh asl | Green energy | Breakthrough Research Award

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Assist. Prof. Dr. Shahab Khameneh asl | Green energy | Breakthrough Research Award

Assist. Prof. Dr. Shahab Khameneh asl, University of Tabriz, Iran

Assist. Prof. Dr. Shahab Khameneh Asl is a pioneering materials scientist whose innovative research in nanostructured ceramics, photocatalysts, and energy materials has significantly advanced renewable energy and environmental applications. With over 25 international publications, leadership of specialized laboratories, and global collaborations across Italy, Turkey, and Iran, his work bridges academia and industry. His applied projects in corrosion control and tribological systems reflect real-world impact. As an emerging leader in material innovation and sustainable technologies, Dr. Khameneh Asl is a standout candidate for the Breakthrough Research Award. His contributions exemplify transformative, interdisciplinary research with societal relevance.

Publication Profile

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Education and Research Experience

Assist. Prof. Dr. Shahab Khameneh Asl has been serving as the Head of the Ceramic Laboratory Complex at the Materials Engineering Department, Faculty of Mechanical Engineering, University of Tabriz, Iran, since September 2016. Under his leadership, the complex encompasses a wide range of specialized laboratories, including ceramic manufacturing, refractory technology, glazing, glass and porcelain technologies, thermal analysis, advanced ceramics, bioceramics, electroceramics, and ceramoglass research. He manages a vibrant team of 2 professors, 2 assistant professors, 13 Ph.D. scholars, 30 postgraduate, and 55 undergraduate students. His lab is a hub for both academic and industrial projects and holds top-tier technology contracts at the university level. Since February 2011, he has also been a dedicated Assistant Professor, teaching a diverse array of courses at B.Sc., M.Sc., and Ph.D. levels, such as Advanced Materials, Nanomaterials, Electroceramics, and Advanced Topics in Materials. His teaching and research integrate innovation, technical expertise, and interdisciplinary collaboration.

Work Experience

Assist. Prof. Dr. Shahab Khameneh Asl has accumulated a broad spectrum of academic and industrial experiences throughout his career. In 2016, he served as a lecturer for Refractory Materials at Maragheh University. As a proactive academic at the University of Tabriz, he contributed to the Entrepreneurship Committee in 2015 and played a pivotal role in nurturing innovation by managing the Nano Materials Characterization at Aras Co. (Aylin Nooran Ghostar) in the Aras Free Zone of Iran in 2014. Additionally, he has been a core member of the Mavad Azmoun Group and led the Nano Materials Group at the New Ideas and Companies Center of Tabriz University since 2011 and 2013, respectively. Earlier in his career, in 2004, he completed an engineering research internship at the Neroo Research Center, contributing to two projects: the synthesis of ZnO electrical ceramics and the evaluation of piezo-sensors in power plants. His diverse roles highlight his interdisciplinary impact.

Scholarships and Awards

Assist. Prof. Dr. Shahab Khameneh Asl has received numerous prestigious scholarships and awards throughout his academic career, reflecting his excellence in materials science and nanotechnology. He was honored by the European Federation of Catalysis Societies (EFCATS) to attend their summer schools in Italy/Spain (2012) and Izmir, Turkey (2010). In July 2012, he was sponsored by the Iranian Ceramic Society and Sacmi Co. to participate in a specialized workshop on tile factories and building ceramics in Imola, Italy. He received the Nanomaterials Student Research Award from the Iran Nanotechnology Initiative Council multiple times between 2004 and 2010. Additionally, he earned the Iranian Ministry of Science and Technology Student Research Award during the same period. Recognized as a Sanjesh Illustrious Talent Student in 2005, he was exempted from military service. His contributions were further recognized with the Best Poster Award at the 8th Ceramic Congress of Iran (2009) and Best Oral Presentation at ICAMR 2013 in the UAE.

Research Focus

Assist. Prof. Dr. Shahab Khameneh Asl’s research primarily focuses on nanomaterials, photocatalysis, surface engineering, and advanced functional materials. His extensive body of work spans the synthesis, characterization, and application of materials such as TiO₂ nanotubes, ZnO nanowires, doped ferrites, and hybrid composites. A significant portion of his research investigates solar water splitting, dye degradation, photoelectrochemical performance, and corrosion resistance, often incorporating innovative approaches like nitrogen-doping and graphene-based modifications. He also explores thermal spray coatings, wear behavior, and microstructure optimization in alloys and ceramics. Through studies on mechanical and electrochemical behavior, he bridges the gap between fundamental materials science and real-world industrial applications, particularly in renewable energy and environmental remediation. His work in optimizing operational parameters using methodologies like Response Surface Methodology (RSM) further enhances the efficiency of photocatalytic systems. Overall, his interdisciplinary research contributes to the development of sustainable materials and advanced nanostructured devices for clean energy and engineering solutions.

Publication Top Notes

  • Magnetic and structural properties of nano sized Dy-doped cobalt ferrite synthesized by co-precipitation – Z Karimi, Y Mohammadifar, H Shokrollahi, SK Asl, G Yousefi, L Karimi – Journal of Magnetism and Magnetic Materials – Cited by: 259 – Year: 2014

  • Highly Efficient Solar Water Splitting from Transferred TiO2 Nanotube Arrays – IS Cho, J Choi, K Zhang, SJ Kim, MJ Jeong, L Cai, T Park, X Zheng, … – Nano Letters – Cited by: 119 – Year: 2015

  • Photocatalytic treatment of a dye solution using immobilized TiO2 nanoparticles combined with photoelectro-Fenton process: optimization of operational parameters – AR Khataee, M Zarei, SK Asl – Journal of Electroanalytical Chemistry – Cited by: 115 – Year: 2010

  • Effect of cooling rate on the microstructure and mechanical properties of a microalloyed forging steel – Dariush Rasouli, Shahb Khameneh ASL – Journal of Materials and Processing Technology – Cited by: 111 – Year: 2008

  • Band-gap narrowing and electrochemical properties in N-doped and reduced anodic TiO2 nanotube arrays – NS Peighambardoust, SK Asl, R Mohammadpour – Electrochimica Acta – Cited by: 102 – Year: 2018

  • Effect of heat treatment on wear behavior of HVOF thermally sprayed WC-Co coatings – SK Asl, MH Sohi, K Hokamoto, M Uemura – Wear – Cited by: 97 – Year: 2006

  • A comparative research on corrosion behavior of a standard, crack-free and duplex hard chromium coatings – MRS Beyragh, SK Asl, S Norouzi – Surface and Coatings Technology – Cited by: 57 – Year: 2010

  • Effect of grit‐blasting parameters on the surface roughness and adhesion strength of sprayed coating – SK Asl, MH Sohi – Surface and Interface Analysis – Cited by: 42 – Year: 2010

  • TiO2/rGO/Cu2O ternary hybrid for high-performance photoelectrochemical applications – E Hajialilou, H Asgharzadeh, SK Asl – Applied Surface Science – Cited by: 35 – Year: 2021

  • The recent advancement in the chitosan hybrid-based scaffolds for cardiac regeneration after myocardial infarction – SK Asl, M Rahimzadegan, R Ostadrahimi – Carbohydrate Polymers – Cited by: 33 – Year: 2023

Conclusion

Assist. Prof. Dr. Shahab Khameneh Asl is a highly suitable candidate for the Breakthrough Research Award. His deep expertise in nanostructured ceramics, energy materials, and environmental photocatalysis—combined with a strong academic leadership role and consistent research output—positions him as a dynamic innovator in materials science and engineering. With a few enhancements in global impact visibility and commercialization, he could further solidify his status as a leader of transformative research.

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) 🧬🧠⚕️

Williams Ossai | Renewable Energy | Best Researcher Award

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Mr. Williams Ossai | Renewable Energy | Best Researcher Award

Mr. Williams Ossai, Summit Media, United Kingdom

Mr. Williams Ossai is a Data and Analytics Specialist at Summit Media, Hull, UK 🇬🇧. He holds a Master’s degree in Artificial Intelligence and Data Science 🤖📊 from the University of Hull, with an academic background in Physics/Electronics ⚡. His work spans energy, media, and healthcare sectors, where he applies machine learning for impactful decision-making. Williams is actively involved in research on renewable energy adoption 🌱 and dementia in cancer populations 🧠, utilizing UK Biobank data. His contributions bridge innovation and social impact, transforming complex data into actionable insights for sustainability, healthcare improvement, and global development

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🎓 Academic & Professional Background

Mr. Williams Ossai is a skilled Data and Analytics Specialist with a Master’s degree in Artificial Intelligence and Data Science 🤖📊 from the University of Hull, and an academic foundation in Physics/Electronics ⚡. His career spans key sectors including energy ⚡, media 🎥, and healthcare 🏥, where he employs advanced analytics and machine learning to derive actionable insights. Beyond his professional role, he conducts applied research, notably modeling renewable energy adoption 🌱 and examining dementia prevalence in cancer populations 🧠 using UK Biobank data. His work seamlessly connects industry innovation with impactful research for measurable social progress

🚀 Research & Innovations

Mr. Williams Ossai is actively contributing to impactful applied research projects using machine learning 🤖 and data science 📊. His completed works include predictive modelling for renewable energy adoption in developing countries 🌍⚡, and an enhanced ML approach for forecasting solar energy integration ☀️. Currently, he is exploring the association between physical activity and dementia in cancer populations 🧠🏃‍♂️ using large-scale health data. These interdisciplinary studies bridge environmental sustainability and healthcare analytics. While his citation index is currently at zero, his ongoing projects hold strong potential for academic recognition and real-world application

🔍 Areas of Research

Mr. Williams Ossai’s research spans several high-impact domains at the intersection of technology and society 🌍. His core focus lies in Applied Machine Learning 🤖, where he develops intelligent systems for real-world decision-making. He is deeply engaged in Renewable Energy Analytics ⚡🌱, building predictive models that support sustainable energy transitions. His work in Health Data Science 🧬🏥 leverages big data to improve population health outcomes. Additionally, he specializes in Predictive Modelling for Social Impact 📈💡, using data-driven strategies to solve global challenges. These interdisciplinary areas reflect his commitment to innovation, sustainability, and measurable social progress.

Publication Top Notes

📘 Machine Learning-Based Predictive Modelling of Renewable Energy Adoption in Developing Countries
📘 An Improved Machine Learning Approach for Predicting Solar Energy Adoption in Developing Countries
📘 Exploring the Association Between Physical Activity and Dementia in Cancer Populations

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

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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 ⚡🖥️

 

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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🎓 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