Assist. Prof. Dr. Reem Aljethi | Engineering | Best Researcher Award

Assistant Professor | Imam Mohammad Ibn Saud University | Saudi Arabia

Dr. Reem Abdullah Aljethi is a distinguished Saudi academic and researcher specializing in applied mathematics, with a Doctorate in Applied Mathematics from Universiti Putra Malaysia (UPM), a Master of Science in Applied Mathematics, and a Bachelor of Science (Hons.) in Mathematics from King Saud University. She currently serves as an Associate Professor at Imam Mohammad Ibn Saud Islamic University, where she has also contributed as a lecturer, Vice Dean of the Faculty of Science, and Control Supervisor at Qiyas. Her research expertise encompasses fractional differential equations, stochastic processes, mathematical modeling, and their applications in finance and physics. Dr. Aljethi has authored and co-authored several high-impact Q1 and Q2 publications in reputed journals such as Mathematics, Fractal and Fractional, Chaos, Solitons and Fractals, and Symmetry, contributing significantly to the advancement of fractional calculus and mathematical analysis. With 18 citations across 15 documents, 4 publications, and an h-index of 3, she continues to expand her scholarly impact. Her academic leadership is complemented by her active participation in international conferences, seminars, and faculty development programs, including initiatives promoting women in science and academic leadership training. Dr. Aljethi has been recognized for her contributions through multiple academic and professional honors, reflecting her dedication to excellence in teaching, research, and academic administration. Her ongoing work demonstrates a strong commitment to advancing applied mathematics and fostering interdisciplinary collaborations that address real-world scientific and engineering challenges.

Profile: Scopus | Orcid

Featured Publications

Aljethi, R. A., & Kılıçman, A. (2023). Analysis of fractional differential equation and its application to realistic data. Chaos, Solitons & Fractals, 171, 113446.

Ms. Xinyu Chen | Electrical Engineering | Best Researcher Award

Student | Zhengzhou University of Light Industry | China

Chen Xinyu is a dedicated electrical engineer specializing in R&D testing, electrical systems, and power automation, with academic training covering electrical equipment, power electronics, energy utilization, high voltage technology, relay protection, and power system analysis. She has gained professional experience through internships at Jintai Can Manufacturing, where she worked as a CAD drafting intern, and at Great Wall Motors as an equipment administrator, ensuring safe and stable machinery operations. Her research contributions include developing intelligent systems for monitoring and predicting cable insulation status, conducting in-depth studies on fault diagnosis of power electronic converters using deep learning, and designing advanced methods for partial discharge localization with optimized algorithms, leading to both publications and patents. Her research interests focus on intelligent fault prediction, deep learning applications in converter diagnostics, optimization methods for complex power environments, and predictive maintenance technologies. Recognized with scholarships, technical certifications, and competition awards, she is proficient in tools such as COMSOL, CAD, SolidWorks, MATLAB, Python, and Origin. Combining adaptability, proactive learning, teamwork, and communication skills, she demonstrates resilience and diligence, positioning herself to make valuable contributions to both industry and research while upholding professional excellence.

Profile: Scopus

Featured Publications

An, X. (2026). Multi-path propagation homogenization and partial discharge localization method utilizing a multi-mode optimized Squirrel search algorithm. Electric Power Systems Research, 226, 107276.