Mr. Afaq Rafi Awan | Construction Management | Best Researcher Award

PhD | Zhengzhou University | China

Afaq Rafi Awan is a motivated and detail-oriented civil engineer from Pakistan, currently pursuing a PhD in Civil Engineering at Zhengzhou University, China. He holds a Master’s in Engineering Science and Management with a focus on Construction Management, and a Bachelor’s degree in Civil Engineering from Sichuan University, China. His academic foundation is strongly built around infrastructure design, structural analysis, and construction management, with a specialized emphasis on Building Information Modeling (BIM) applications for safety management and sustainable construction. He has professional experience as an English and ESL teacher at various institutions in China, as well as prior technical experience as an associate engineer and civil surveyor in Pakistan. His research expertise lies in BIM-based safety management, bridge lifecycle resilience, intelligent construction systems, prefabricated bridge structures, digital twin applications in infrastructure, and the use of advanced materials for structural performance enhancement. Throughout his academic journey, Afaq has demonstrated leadership as Vice President and Director of Sports at Zhengzhou University, received multiple academic and athletic awards, and earned prestigious fully funded scholarships including the Chinese Government Scholarship. His achievements also extend to active participation in international conferences, youth forums, and online professional certifications from globally recognized institutions such as Stanford University, DeepLearning.AI, and Columbia University. Driven by innovation, sustainability, and digital transformation in civil engineering, Afaq aspires to contribute to advanced bridge engineering research and the development of durable, efficient, and safe infrastructure systems worldwide.

Profile: Google Scholar

Featured Publications

C Yuan, A. R. Awan, & A. Khan. (2025). Construction safety management: Based on the theoretical approach of BIM and the technology acceptance model. Buildings, 15(19), 3444.

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.