Ahmed Abdelmagid | Research Methodology | Outstanding Scientist Award

Prof. Dr. Ahmed Abdelmagid | Research Methodology | Outstanding Scientist Award

Professor of Educational Technology at Professor of Educational Technology, Saudi Arabia

Prof. Ahmed Sadek Abd-Elmajeed is an Egyptian academic and expert in Educational Technology, currently serving as a professor at King Khalid University in Saudi Arabia. Born on October 18, 1971, he has devoted his career to enhancing digital education, multimedia learning, and innovative teaching methodologies. With a Ph.D. in Education, he has led numerous postgraduate programs, advised in institutional e-learning, and contributed to major educational reforms across the Arab region. His research has earned high citation rankings, and his leadership has been recognized with several prestigious awards. Prof. Ahmed is also the Editor-in-Chief of the King Khalid Journal of Educational Sciences and a reviewer for top-tier journals. His dedication to integrating AI, big data, and digital tools into education makes him a regional leader in educational innovation and policy development.

Professional Profiles📖

Scopus 

ORCID 

Google Scholar

🎓 Education 

Prof. Ahmed earned a Bachelor of Science and Education with honors, followed by a Special Diploma in Education, both reflecting academic excellence. He pursued his Master’s in Educational Technology, where he researched the use of computers in teaching probability to university students—earning an “Excellent” rating. He later completed his Ph.D. in Education, with a dissertation focused on the impact of computer-based multimedia on students’ divergent thinking and decision-making. His educational journey reflects a clear focus on leveraging technology to enhance learning outcomes. The progression from foundational teaching degrees to a highly specialized doctorate showcases a deep commitment to research and practical innovation. His academic training across various tiers of the educational system has equipped him with a comprehensive understanding of teaching, learning, and digital transformation—key foundations of his leadership in education reform, program development, and instructional design throughout the Arab world.

🏗 Experience 

Prof. Ahmed boasts over two decades of rich academic and administrative experience. He currently serves as Professor of Educational Technology at King Khalid University, where he heads the Master’s and Higher Diploma programs in E-Learning. He is an advisor in e-learning systems, data analytics, and AI-based education strategies. He has also played major roles in program accreditation, curriculum development, and faculty quality assurance. From leading development projects to training educators in IT skills, Prof. Ahmed’s contributions span teaching, research, academic governance, and technology implementation. As Editor-in-Chief of an academic journal and member of multiple university committees, he ensures high academic standards and innovation. His leadership roles across departments and institutions have had a measurable impact on modernizing education in the Arab world. Additionally, his work in program design for doctoral and diploma tracks in AI and educational technology positions him as a forward-thinking academic leader.

🏆 Awards & Honors 

Prof. Ahmed’s academic excellence is reflected in a series of prestigious awards. He secured first place in the Arab Education Bureau Award for Educational Research (2011) and Electronic Blogs (2011), and was recognized for Excellence in Educational Lesson Design (2013). His innovation in digital learning earned him the E-Learning Award from King Khalid University and the Humaid Bin Rashid Award for Electronic Entrepreneurship (2018). In 2022, he achieved first place globally in citations in the humanities category among King Khalid University scholars, further validating his research impact. These accolades underscore his dual excellence in both academic research and applied innovation in education. His ability to merge theory with practical tools and frameworks has garnered regional respect and institutional trust. Each award is a testament to his consistent leadership and pioneering role in shaping the future of digital education across the Middle East and North Africa.

🔬 Research Focus

Prof. Ahmed’s research is centered on Educational Technology, with a strong emphasis on integrating digital tools, multimedia systems, and AI into learning environments. His work explores how computer-based learning impacts cognitive processes like divergent thinking and decision-making, particularly in secondary and higher education. He has contributed significantly to e-learning methodologies, data analytics in education, and the development of smart learning systems. His research also covers curriculum development, teacher training, and technology-enhanced instructional design. By aligning his work with real-world educational needs, Prof. Ahmed bridges the gap between pedagogy and innovation. He is also engaged in building academic programs around artificial intelligence, helping shape future-ready educators. His focus on evidence-based educational reform, especially in digital transformation, has guided university policy-making and national education strategy. Through both empirical studies and practical implementations, Prof. Ahmed is driving scalable change in 21st-century learning.

🛠 Skills 

Prof. Ahmed possesses a robust skill set that spans education, technology, and leadership. His key competencies include e-learning systems design, multimedia content development, and AI integration in education. He is proficient in program accreditation and academic quality assurance, having led efforts to gain national recognition for multiple graduate programs. His skills also include curriculum design, data-driven education analytics, and project-based learning solutions. As an academic leader, he has demonstrated strength in institutional development, strategic planning, and digital policy creation. Additionally, Prof. Ahmed excels in research supervision, technical training for educators, and reviewing academic manuscripts. He is skilled in using educational platforms and tools that enhance remote and blended learning environments. His ability to align technology with pedagogy empowers educators and institutions alike. Whether leading AI curriculum design or mentoring postgraduate students, Prof. Ahmed combines innovation with practical implementation, making him a key influencer in educational modernization.

Publications Top Notes📚

  • Integrating Interactive Metaverse Environments and Generative Artificial Intelligence to Promote the Green Digital Economy and e‑Entrepreneurship in Higher Education

    • Sustainability (peer-reviewed journal)

    • Published June 18, 2025

    • DOI: 10.3390/su17125594

    • Source: Crossref

  • Psychological Dynamics of Executive Functions in University Students with High Anxiety Trait

    • International Journal of Innovative Research and Scientific Studies

    • Published April 16, 2025

    • DOI: 10.53894/ijirss.v8i2.6251

    • Source: Crossref

  • Generative Artificial Intelligence (ChatGPT) Technology and Its Impact on the Development of Digital Entrepreneurship Skills Among University Students

    • International Journal of Innovative Research and Scientific Studies

    • Published 2025 (Vol 8, Issue 2)

    • DOI: 10.53894/ijirss.v8i2.5885

    • Source: Scopus – Elsevier (via Prof. Abdelmagid)

  • Giant Rabi Splitting and Polariton Photoluminescence in an All‑Solution‑Deposited Dielectric Microcavity

    • Advanced Optical Materials

    • Published 2025

    • DOI: 10.1002/adom.202500155

    • Source: Scopus

  • The Impact of Artificial Intelligence Applications on Developing Levels of Cognitive Depth of Information Among Postgraduate Students

    • International Journal of Learning, Teaching and Educational Research

    • Published 2025

    • DOI: 10.26803/ijlter.24.4.15

    • Source: Scopus

  • The Impacts of Anion and Cation Modification on the Physicochemical Properties of Tris‑(2‑Hydroxyethyl) Ammonium‑Based Protic and Aprotic Ionic Liquids

    • Ionics

    • Published 2025

    • DOI: 10.1007/s11581-025-06145-z

    • Source: Scopus

  • Zero Trust Architecture as a Risk Countermeasure in Small–Medium Enterprises and Advanced Technology Systems

    • Risk Analysis

    • Published 2025

    • DOI: 10.1111/risa.70026

    • Source: Scopus

Conclusion✅

Guojia Hou | Research methodology | Best Researcher Award

Assoc. Prof. Dr. Guojia Hou | Research methodology | Best Researcher Award 

Associate Professor at Qingdao University, China

Guojia Hou is a distinguished researcher in underwater image processing, specializing in image restoration, enhancement, and depth estimation. His work integrates machine learning, computer vision, and mathematical modeling to improve underwater imaging quality. Dr. Hou has published extensively in leading journals, contributing novel algorithms and datasets that enhance underwater visual perception. His research not only advances academic understanding but also has significant applications in marine exploration, environmental monitoring, and underwater robotics. As a corresponding author in multiple high-impact papers, he plays a pivotal role in leading research teams and mentoring young scholars. Dr. Hou is committed to open-source collaboration, making his research accessible to the broader scientific community. His groundbreaking work has positioned him as a leading figure in underwater computer vision, with a strong emphasis on innovative methodologies and practical applications.

Professional Profiles📖

ORCID

Google Scholar

Education 🎓

Guojia Hou holds a Ph.D. in Computer Science with a focus on underwater image processing. He earned his doctoral degree from a prestigious institution, where his research revolved around image enhancement techniques for challenging underwater environments. His academic journey includes a Master’s degree in Artificial Intelligence, emphasizing deep learning applications in image restoration. He pursued his undergraduate studies in Computer Engineering, gaining a strong foundation in computer vision and digital image processing. His academic career has been marked by excellence, with numerous accolades and high-impact publications. Throughout his studies, he collaborated with leading experts in machine learning, contributing to advancements in underwater imaging techniques. His educational background has equipped him with expertise in both theoretical and practical aspects of underwater computer vision, enabling him to bridge the gap between research and real-world applications.

Work Experience💼

Dr. Guojia Hou has extensive research experience in underwater image processing, working as a lead researcher and corresponding author in multiple high-impact publications. He has collaborated with top universities and research institutions, contributing to projects on underwater image restoration, enhancement, and quality assessment. His experience spans academia and industry, where he has led research teams and supervised graduate students. Dr. Hou has been actively involved in developing state-of-the-art algorithms for underwater visual perception, focusing on low-light enhancement, dehazing, and weakly supervised depth estimation. His expertise extends to dataset creation and benchmarking, providing valuable resources for the computer vision community. He has also worked on interdisciplinary projects, applying his research to marine biology, underwater robotics, and autonomous underwater vehicles. His commitment to advancing underwater imaging has made him a sought-after expert in the field.

Awards and Honors 🏆

Dr. Hou has received numerous awards for his contributions to underwater image processing. He has been recognized with the Best Paper Award at major international conferences and has received prestigious research grants for his innovative work. His contributions to IEEE Transactions and other high-impact journals have earned him accolades for excellence in research. Dr. Hou has been honored by leading academic and scientific organizations for his advancements in underwater computer vision. He has also been invited as a keynote speaker at international conferences, highlighting his influence in the field. His research projects have been funded by government agencies and private organizations, demonstrating the practical impact of his work. Additionally, he has received recognition for his mentorship and leadership in guiding young researchers, further solidifying his reputation as a top-tier scientist in underwater imaging.

Skills 💡

Dr. Hou possesses a diverse skill set in computer vision, deep learning, and image processing. His expertise includes designing novel algorithms for underwater image restoration, leveraging machine learning for image enhancement, and developing quality assessment metrics. He is proficient in programming languages such as Python and MATLAB, using frameworks like TensorFlow and PyTorch for deep learning applications. His skills also extend to dataset creation, annotation, and benchmarking, ensuring high-quality research contributions. He has strong analytical abilities, enabling him to develop efficient models for underwater imaging challenges. Dr. Hou excels in academic writing, research leadership, and interdisciplinary collaboration. His experience in mentoring students and leading research projects further highlights his ability to manage and execute high-impact research. His commitment to open-source contributions showcases his dedication to advancing the scientific community.

Research Focus 🔬

Dr. Hou’s research focuses on underwater image restoration, enhancement, and depth estimation. His work aims to improve visual perception in underwater environments affected by non-uniform illumination, light scattering, and color distortion. He employs deep learning, low-rank regularization, and adaptive color correction techniques to enhance underwater imagery. His research also explores no-reference quality assessment metrics for evaluating image restoration performance. He has developed weakly supervised learning models to estimate depth from single underwater images, contributing to remote sensing and underwater robotics applications. His work is widely used in marine research, environmental monitoring, and underwater surveillance. Dr. Hou is dedicated to bridging the gap between theoretical research and real-world applications, making significant contributions to both academia and industry. His research continues to push the boundaries of underwater computer vision, setting new standards for image quality enhancement.

Conclusion✅

Dr. Guojia Hou is a strong candidate for the Best Researcher Award due to his pioneering work in underwater image restoration, high-quality publications, and open-source contributions. Strengthening real-world applications, securing patents, and expanding international collaborations could further solidify his standing as a top researcher in his field.

Publications Top Notes📚

“A Variational Framework for Underwater Image Dehazing and Deblurring”

Authors: J. Xie, G. Hou, G. Wang, Z. Pan

Journal: IEEE Transactions on Circuits and Systems for Video Technology

Year: 2021

Citations: 143

DOI: 10.1109/TCSVT.2021.3056271

“SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement with Multi-Scale Perception”

Authors: Q. Qi, K. Li, H. Zheng, X. Gao, G. Hou, K. Sun

Journal: IEEE Transactions on Image Processing

Year: 2022

Citations: 132

DOI: 10.1109/TIP.2022.3201234

“A Novel Dark Channel Prior Guided Variational Framework for Underwater Image Restoration”

Authors: G. Hou, J. Li, G. Wang, H. Yang, B. Huang, Z. Pan

Journal: Journal of Visual Communication and Image Representation

Year: 2020

Citations: 102

DOI: 10.1016/j.jvcir.2019.102732

“Enhancing Underwater Image via Adaptive Color and Contrast Enhancement, and Denoising”

Authors: X. Li, G. Hou, K. Li, Z. Pan

Journal: Engineering Applications of Artificial Intelligence

Year: 2022

Citations: 90

DOI: 10.1016/j.engappai.2022.104759

“Hue Preserving-Based Approach for Underwater Colour Image Enhancement”

Authors: G. Hou, Z. Pan, B. Huang, G. Wang, X. Luan

Journal: IET Image Processing

Year: 2018

Citations: 85

DOI: 10.1049/iet-ipr.2017.0456

“Non-Uniform Illumination Underwater Image Restoration via Illumination Channel Sparsity Prior”

Authors: G. Hou, N. Li, P. Zhuang, K. Li, H. Sun, C. Li

Journal: IEEE Transactions on Circuits and Systems for Video Technology

Year: 2023

Citations: 78

DOI: 10.1109/TCSVT.2023.3290363

“Benchmarking Underwater Image Enhancement and Restoration, and Beyond”

Authors: G. Hou, X. Zhao, Z. Pan, H. Yang, L. Tan, J. Li

Journal: IEEE Access

Year: 2020

Citations: 77

DOI: 10.1109/ACCESS.2020.3006789

“A Hybrid Framework for Underwater Image Enhancement”

Authors: X. Li, G. Hou, L. Tan, W. Liu

Journal: IEEE Access

Year: 2020

Citations: 69

DOI: 10.1109/ACCESS.2020.3033451

“An Efficient Nonlocal Variational Method with Application to Underwater Image Restoration”

Authors: G. Hou, Z. Pan, G. Wang, H. Yang, J. Duan

Journal: Neuro