Mr. Taimoor Ali Khan | Transportation Engineering | Research Excellence Award
Mr. Taimoor Ali Khan | Transportation Engineering | Kunming University of Science and Technology | China
Transportation Engineering expert Mr. Taimoor Ali Khan is an emerging civil engineering professional whose academic training, technical expertise, and research contributions span transportation engineering, structural mechanics, infrastructure resilience, Non-Destructive Evaluation (NDE), and intelligent systems. With a Master’s degree in Civil Engineering from Beijing University of Technology and a Bachelor of Engineering in Civil Engineering from Mehran University of Engineering and Technology Mr. Taimoor Ali Khan has established a strong foundation in advanced engineering principles, reliability assessment, and infrastructure performance analysis. Throughout his master’s research, he conducted an in-depth investigation of the size effect on Fiber Reinforced Polymer (FRP)-confined concrete columns using analytical modeling and Finite Element Method (FEM) simulations in Abaqus, which later shaped his broader interest in enhancing infrastructure safety and resilience. Professionally, Mr. Taimoor Ali Khan has served in multiple engineering roles, including Material Engineer at Ghulam Rasool & Co. Pvt. Ltd. Site Engineer at Dico-Tech Qatar and Lecturer at Indus International Institute Pakistan, where he contributed to construction quality control, laboratory material testing, planning operations, and engineering education. These roles allowed him to bridge theoretical knowledge with real-world construction and planning challenges. His research interests now expand across Transportation Engineering, AI-driven mobility analytics, rural traffic management, network traffic prediction, Machine Learning-based safety systems, and NDE methods such as non-contact ultrasonics for structural damage detection. Mr. Taimoor Ali Khan possesses strong research skills in FEM modeling, structural reliability analysis, data-driven modeling, AI algorithm integration, transportation data analysis, and multi-source data fusion. His growing publication record reflects his commitment to developing intelligent, safe, and efficient transportation systems. His professional memberships include registration with the Pakistan Engineering Council and he is also a recipient of the prestigious Chinese Government Scholarship (China Scholarship Council), which supported his graduate studies in Beijing. His honors also include recognition for research contributions in transportation and infrastructure engineering, along with academic distinctions throughout his academic progression. Throughout his career, Mr. Taimoor Ali Khan has demonstrated a forward-thinking approach by integrating Transportation Engineering with Artificial Intelligence, contributing to modern mobility solutions. In conclusion, Mr. Taimoor Ali Khan continues to advance scholarly work and practical engineering innovations aimed at improving infrastructure quality, transportation safety, and data-driven decision-making. His extensive academic background, technical skills, and diverse professional experience position him as a promising researcher in Transportation Engineering, committed to developing sustainable, technologically enhanced engineering solutions for global challenges.
Academic Profile: ORCID
Featured Publications:
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Khan, T. A. (2025). Graph-based deep learning and multi-source data to provide safety-actionable insights for rural traffic management.
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Khan, T. A. (2025). Artificial intelligence as a tutor: Enhancing self-regulated learning in transportation engineering through AI-driven feedback.
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Khan, T. A. (2024). Network traffic prediction: Using AI to predict and manage traffic in high-demand IT networks.
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Khan, T. A. (2021). Analytical and numerical analysis of size impact on CFRP restrained cylindrical concrete column.