Majid Khan is a civil engineering researcher currently pursuing his Master’s degree at Southern Illinois University Edwardsville (SIUE), USA. His academic work focuses on the application of machine learning to construction materials, with particular emphasis on sustainable concrete, fiber-reinforced composites, and blended cement systems. Khan is working on developing predictive and interpretable models that enhance the evaluation of strength, durability, and performance of advanced cementitious composites. By integrating explainable artificial intelligence methods and knowledge-guided approaches, his research contributes to bridging the gap between data-driven modeling and practical engineering applications. In addition to his academic research, Khan actively serves as a reviewer for several international journals, supporting the dissemination of high-quality research in civil and materials engineering.