Awn Alqahtani | Sensors Phenomena | Excellence in Research Award

Dr. Awn Alqahtani | Sensors Phenomena | Excellence in Research Award

Najran University | Saudi Arabia

Dr. Awn Alqahtani is an Assistant Professor of Mathematics at Najran University, Saudi Arabia, specializing in algebra, quantum groups, and invariant theory. He earned his Ph.D. from Howard University, USA, where his research focused on advanced structures in noncommutative algebra. Dr. Alqahtani has contributed to mathematical research through peer-reviewed publications, including work in the European Journal of Pure and Applied Mathematics, and has actively participated in international conferences such as FPSAC and AMS meetings. In addition to his research, he plays a significant academic leadership role, serving as Head of the Basic Sciences Department and contributing to curriculum development, quality assurance, and student engagement initiatives. He has supervised undergraduate research projects in group theory and number theory, fostering analytical skills among students. His work supports the advancement of mathematical sciences and higher education development in alignment with national and global academic standards.

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Featured Publications

Modifications to Mixed θ (ν1, ν2)-Open Sets in Generalized Topological Spaces (2024).
A. Alqahtani · European Journal of Pure and Applied Mathematics · Citations: 1

Hopf Actions on Poisson Algebras (2025).
A. Alqahtani, J. Gaddis, X. Wang · arXiv Preprint

Quantum Groups and Their Invariant Theory (2023).
A.D.A. Alqahtani · Howard University (PhD Thesis)

Xinhua Xue | Sensors Phenomena | Research Excellence Award

Prof. Xinhua Xue | Sensors Phenomena | Research Excellence Award

Sichuan University | China

Professor Xinhua Xue is a Full Professor at Sichuan University, China, specializing in geotechnical engineering, artificial intelligence, and machine learning applications in civil and hydraulic engineering. He earned his PhD from Zhejiang University in 2008 and has since established a distinguished academic career, including a visiting scholarship at The Pennsylvania State University. Prof. Xue has authored over 170 peer-reviewed journal articles and five scholarly books, with significant contributions to predictive modeling, soil mechanics, and infrastructure stability. Recognized among the “Top 2% World Ranking Scientists” by Stanford University/Elsevier, his research integrates advanced computational techniques such as neural networks, ensemble learning, and soft computing. His extensive collaborations and high-impact publications have advanced engineering practices in areas such as landslide prediction, wave modeling, and foundation analysis, contributing to safer and more sustainable infrastructure development globally.

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Featured Publications

Physics-informed data-driven model for the prediction of river water temperature (2026).
Engineering Applications of Artificial Intelligence · Journal Article ·

Hybrid ensemble learning for predicting peak deviatoric stress in soil-rock mixtures from triaxial test data (2025).
Engineering Applications of Artificial Intelligence · Journal Article ·

Bayesian framework for evaluating spatial distribution of soil liquefaction based on CPT data (2025).
Soil Dynamics and Earthquake Engineering · Journal Article ·

A novel deep learning-based convolutional neural network – long short-term memory model for predicting weekly significant wave heights (2025).
Ocean Engineering · Journal Article · 📊 Citations: 2

Coupled convolutional neural network with long short-term memory network for predicting lake water temperature (2025).
Journal of Hydrology · Journal Article · 📊 Citations: 4