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Assist. Prof. Dr. Taha Hussein Elghareeb Youssef | Nanofluids | Best Scholar Award

Assist. Prof. Dr. Taha Hussein Elghareeb Youssef , Qassim University , Saudi Arabia.

Dr. Taha Hussein Elghareeb Youssef ๐ŸŽ“ is an Assistant Professor at Qassim University ๐Ÿ‡ธ๐Ÿ‡ฆ, with a primary affiliation at Suez Universityโ€™s College of Science ๐Ÿ‡ช๐Ÿ‡ฌ. His research focuses on differential equations, numerical analysis, and advanced thermal systems like PV/T and nanofluids ๐Ÿ”ฌ. He integrates machine learning ๐Ÿค– and computational methods to solve complex real-world problems. With a passion for interdisciplinary science and innovation ๐Ÿ’ก, Dr. Youssef contributes actively to the academic community through publications and collaborations ๐ŸŒ. He is a dedicated educator and a forward-thinking researcher continually exploring new frontiers in mathematical applications ๐Ÿš€.

Publication Profile

Scopus
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Education & Experienceย 

  • ๐ŸŽ“ Ph.D. in Mathematics โ€“ Specialized in Differential Equations and Applications

  • ๐Ÿซ Assistant Professor โ€“ Qassim University, Department of Mathematics

  • ๐Ÿ›๏ธ Lecturer/Faculty Member โ€“ Suez University, College of Science

  • ๐Ÿงฎ Department Role โ€“ Mathematics and Computer Science Division

  • ๐Ÿ—“๏ธ Years of Experience โ€“ Extensive academic and research experience across Egypt and Saudi Arabia

Suitability Summary

Dr. Taha Hussein Elghareeb Youssef is an exceptional candidate for the Best Scholar Award due to his remarkable contributions to the fields of differential equations, numerical analysis, and applied mathematics. As an Assistant Professor at Qassim University and a faculty member at Suez University, he has significantly advanced research in renewable energy systems, particularly in photovoltaic thermal systems (PV/T), ternary hybrid nanofluids, and supervised machine learning ๐Ÿง‘โ€๐Ÿ”ฌ๐Ÿ’ก.

Professional Developmentย 

Dr. Youssef constantly evolves his professional skillset through active participation in research forums, scholarly publications, and academic networking ๐Ÿ“š๐ŸŒ. He stays updated with emerging technologies in thermal systems, numerical simulations, and supervised machine learning ๐Ÿง ๐Ÿ’ป. Engaged in international platforms such as Google Scholar, ORCID, and Scopus ๐Ÿ”—, he maintains a strong digital presence to share knowledge and collaborate globally ๐Ÿค. His approach emphasizes lifelong learning and the application of innovative techniques to scientific challenges, reflecting his dedication to professional excellence and impact-driven research ๐Ÿงช๐Ÿš€.

Research Focusย 

Dr. Youssefโ€™s research falls under the category of Applied Mathematics and Computational Sciences ๐Ÿงฎ๐Ÿ–ฅ๏ธ. He focuses on the application of differential equations and numerical methods to solve real-world engineering and physical problems ๐Ÿ”. His work explores hybrid photovoltaic/thermal (PV/T) systems, nanofluids, and heat transfer phenomena ๐ŸŒก๏ธ, integrating these with supervised machine learning for enhanced prediction and control ๐Ÿง ๐Ÿ“Š. This interdisciplinary research benefits renewable energy, fluid dynamics, and smart system design โš™๏ธ๐Ÿ”‹. By merging theory and application, Dr. Youssef contributes to sustainability and innovation in mathematical modeling ๐ŸŒ๐Ÿ’ก.

Publication Top Notes

  • A Hybrid Technique for Space-Time Fractional Parabolic Differential Equations
    Progress in Fractional Differentiation and Applications
    ๐Ÿ”— DOI: 10.18576/pfda/100403
    ๐Ÿงฎ Focus: Fractional calculus & hybrid numerical methods

  • New Crossover Lumpy Skin Disease: Numerical Treatments
    Partial Differential Equations in Applied Mathematics
    ๐Ÿ”— DOI: 10.1016/j.padiff.2024.100986
    ๐Ÿ„ Focus: Biomedical modeling using PDEs

  • Numerical Analysis on Performance Evaluation of Photovoltaic Thermal Systems Using Ternary Hybrid Nanofluids
    Results in Engineering
    ๐Ÿ”— DOI: 10.1016/j.rineng.2024.103139
    โ˜€๏ธ Focus: Renewable energy systems & fluid dynamics

  • Unveiling Potential: Hybrid Nanofluid Strategies for PV/T Efficiency with Trapezoidal Flow Channels
    Results in Engineering
    ๐Ÿ”— DOI: 10.1016/j.rineng.2024.103304
    โšก Focus: Electrical performance optimization using hybrid coolants

Conclusion

Dr. Youssefโ€™s outstanding academic achievements, innovative research, and dedication to advancing both theoretical and applied sciences make him an ideal recipient of the Best Scholar Award ๐Ÿ…. His work is transforming industries and contributing to global sustainability efforts, making him a true asset to the academic and research community.

Assist. Prof. Dr. Taha Hussein Elghareeb Youssef | Nanofluids | Best Scholar Award

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