Huan Zhao | Machine Learning | Best Researcher Award

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Assoc. Prof. Dr . Huan Zhao | Machine Learning | Best Researcher Award

Associate Professor, School of Aeronautics, Northwestern Polytechnical University, China

Huan Zhao is an associate professor at the School of Aeronautics, Northwestern Polytechnical University (NPU), China. He specializes in aerodynamics, multidisciplinary design optimization, uncertainty quantification, and machine learning, focusing on CFD simulation, AI-based global optimization, and surrogate modeling. He is also the executive deputy director of the Institute of Digital Intelligence for Flight Mechanics and Aerodynamic Design (IDIFMAD). Zhao has made significant contributions to the fields of aerodynamic shape optimization, high-dimensional global optimization, and uncertainty-based robust design. He holds several patents and has authored many high-impact publications. 🌐✈️

Publication Profile

Education

Huan Zhao completed his Ph.D. in Fluid Dynamics at Northwestern Polytechnical University (NPU) in 2020, following a B.Eng. in Aircraft Design and Engineering from the same university in 2014. 📚🎓

Experience

Zhao served as a tenure-track assistant professor at Sun Yat-sen University (SYSU) before joining NPU as a tenure-track associate professor in 2023. He has directed and participated in numerous research projects focusing on aerodynamic design optimization, high-speed rotor airfoil design, and surrogate-assisted design techniques. He is a principal investigator (PI) for multiple projects funded by the National Natural Science Foundation of China (NSFC). 👨‍🏫🔬

Awards and Honors

Huan Zhao has received several awards and honors, including recognition as part of the “Hundred Talents Plan” Young Academic Backbone at SYSU and multiple patents for his innovative contributions to aerodynamic design. 🏆🎖️

Research Focus

Zhao’s research interests lie in aerodynamics, including multi-fidelity polynomial chaos-Kriging models, aerodynamic shape optimization, and uncertainty quantification. His work has contributed significantly to the design and optimization of high-lift airfoils, laminar flow airfoils, and robust design methods under uncertainty. His expertise also includes machine learning, AI-based global optimization, and the application of surrogate models in complex design scenarios. 🔍🧑‍💻

Conclusion

Huan Zhao’s innovative work has had a profound impact on the field of aerodynamics and optimization. His research has not only advanced the understanding of aerodynamic design but has also led to practical improvements in the development of high-performance aircraft and related technologies. He continues to drive forward cutting-edge research in aerodynamics and multidisciplinary design optimization. 🚀🌍

Publications

An efficient adaptive forward–backward selection method for sparse polynomial chaos expansion, Computer Methods in Applied Mechanics and Engineering, 2019.

Review of robust aerodynamic design optimization for air vehicles, Archives of Computational Methods in Engineering, 2019.

Effective robust design of high lift NLF airfoil under multi-parameter uncertainty, Aerospace Science and Technology, 2017.

Adaptive multi-fidelity sparse polynomial chaos-Kriging metamodeling for global approximation of aerodynamic data, Structural and Multidisciplinary Optimization, 2021.

Uncertainty-based design optimization of NLF airfoil for high altitude long endurance unmanned air vehicles, Engineering Computations, 2019.

 Efficient aerodynamic analysis and optimization under uncertainty using multi-fidelity polynomial chaos-Kriging surrogate model, Computers & Fluids, 2022.

Research on efficient robust aerodynamic design optimization method of high-speed and high-lift NLF airfoil, Acta Aeronautica et Astronautica Sinica, 2021.

Research on Novel High-Dimensional Surrogate Model-Based Aerodynamic Shape Design Optimization, Acta Aeronautica et Astronautica Sinica, 2022.

Research on novel multi-fidelity surrogate model assisted many-objective global optimization method, Acta Aeronautica et Astronautica Sinica, 2022.

Adaptive multi-fidelity polynomial chaos-Kriging model-based efficient aerodynamic design optimization method, Chinese Journal of Theoretical and Applied Mechanics, 2023.

 

FUAD ALSARARI | Analysis | Best Researcher Award

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Dr. FUAD ALSARARI | Analysis | Best Researcher Award

Associate, Taibah University, Saudi Arabia

📘 Dr. Fuad Alsarari is an accomplished mathematician and Associate Professor in the Department of Mathematics and Statistics at Taibah University, Saudi Arabia. With a rich academic background and extensive experience in teaching and research, he specializes in Geometric Function Theory and Symmetrical Functions. Dr. Alsarari is known for his innovative teaching methods and numerous contributions to the field of mathematics through his research publications.

Publication Profile

Google scholar

Strengths for the Award:

  1. Extensive Publication Record: Fuad Alsarari has authored numerous research papers (over 40) published in reputable mathematics journals. His work primarily focuses on geometric function theory and symmetrical functions, which demonstrates a strong commitment to advancing knowledge in this specialized field.
  2. Research Impact and Collaboration: He has collaborated with several co-authors, which indicates a collaborative approach to research. His Google Scholar profile shows citations, suggesting his research has been recognized and utilized by peers in the field.
  3. Academic Experience: Alsarari has a solid academic background with a Ph.D. in Mathematics from the University of Mysore, India, and teaching experience at various institutions, including his current role as an Associate Professor at Taibah University, Saudi Arabia. His experience spans over a decade, including teaching undergraduate and graduate courses in mathematics and conducting research.
  4. Innovative Teaching and Learning Methods: He has developed and implemented innovative teaching methods to enhance students’ understanding and engagement in mathematics, which reflects his dedication to both research and education.
  5. Focus on Specialized Research Area: His research is primarily concentrated on geometric function theory and symmetrical functions, a niche area within mathematics that requires deep expertise. This focus can be considered a strength as it showcases his depth of knowledge and dedication to a specialized field.

Areas for Improvement:

  1. Broader Research Topics: While his specialization in geometric function theory and symmetrical functions is commendable, exploring additional topics within mathematics or interdisciplinary research could potentially broaden the impact of his work.
  2. Higher Impact Publications: Although Alsarari has published many papers, a greater number of publications in top-tier, high-impact journals would strengthen his profile and visibility in the global research community.
  3. International Research Collaborations: Engaging in more international research collaborations or projects could enhance the diversity and impact of his research, fostering new ideas and methodologies.
  4. Grant Acquisition: There’s no specific mention of research grants or funding obtained. Securing external funding through grants can demonstrate his research’s value and viability to broader scientific and academic communities.

 

Education

🎓 Dr. Alsarari earned his Ph.D. in Mathematics, focusing on Geometric Function Theory and Symmetrical Functions, from the University of Mysore, India, in 2016. He holds a Master’s degree in Mathematics (Analysis) from King Saud University, Saudi Arabia, graduating with honors in 2011. He completed his undergraduate studies in Mathematics at the University of Sana’a, Yemen, in 2006.

Experience

👨‍🏫 Dr. Alsarari has over 17 years of teaching experience at various academic institutions. Since 2017, he has been an Associate Professor at Taibah University, Saudi Arabia. Previously, he taught at the University of Mysore, India, and King Saud University, Saudi Arabia, and started his career as a high school teacher in Yemen. He is skilled in teaching various undergraduate and graduate mathematics courses, ranging from calculus to complex analysis, and has developed educational tools to enhance learning.

Research Focus

🔍 Dr. Alsarari’s research interests lie primarily in Geometric Function Theory, particularly in symmetrical functions and their applications. His work involves developing new classes of functions and analyzing their geometric properties. He collaborates with international researchers and publishes regularly in reputable mathematics journals.

Awards and Honors

🏆 Dr. Alsarari has received several accolades for his academic excellence, including honors during his master’s degree and recognition for his contributions to mathematics through published research.

Publication Top Notes

📑 Dr. Alsarari has published numerous papers in top mathematics journals. His notable works include “Defining and Analyzing New Classes Associated with (p,q)-Symmetrical Functions and Quantum Calculus” (2024), published in Mathematics; “Geometric Properties of Certain Classes of Analytic Functions with Respect to (x, y)-Symmetric Points” (2023), and “The Second Hankel Determinant for k-symmetrical Functions” (2023). His research has been widely cited, reflecting his impact on the field.

Defining and Analyzing New Classes Associated with (p,q)-Symmetrical Functions and Quantum Calculus – Mathematics, 12(16), 2024, Link to article

Geometric Properties of Certain Classes of Analytic Functions with Respect to (x, y)-Symmetric Points – Mathematics, 11(19), 2023, Link to article

A note on convolution of Janowski type functions with q-derivative – Acta Univ. Sapientiae, Mathematica, 15(1), 2023, Link to article

The Second Hankel Determinant for k-symmetrical Functions – Bulletin of the Academy of Sciences of Moldova. Mathematics, 2(102), 2023, Link to article

Conclusion:

Fuad Alsarari appears to be a strong candidate for the Best Researcher Award, especially considering his extensive research contributions in his specialized area of mathematics. His strengths lie in his prolific publication record, academic experience, and innovative teaching methods. However, there is room for improvement in expanding his research topics, increasing the impact of his publications, fostering international collaborations, and securing research funding. Overall, his profile presents a solid case for the award, particularly if his future work continues to build on these areas.