Teaching Interests
My teaching interests center on pavement engineering, including pavement materials, design, rehabilitation, and performance. I have developed and taught graduate courses such as Pavement Design and Analysis, Pavement Materials, Pavement Management Systems, Pavement Rehabilitation, and Advanced Testing of Geomaterials, while integrating new topics such as nanoscale materials characterization, computational modeling, sustainability, and AI-assisted analysis in pavement engineering. At the undergraduate level, I emphasize conceptual clarity and engineering judgment in courses such as Statics, Mechanics of Materials, and Soil Mechanics.
A major dimension of my teaching contribution has been the creation and enhancement of courses, laboratories, and academic programs. I have developed multiple new graduate courses in pavement engineering, strengthened existing courses through integration of software tools, sustainability and climate-aware design concepts, and field-based testing components, and translated research outcomes directly into course content. I also played a key role in conceiving and establishing the pavement engineering curriculum within the geotechnical program and in developing specialized laboratory facilities that now support both instruction and research.
Looking ahead, I plan to continue advancing experiential learning, interdisciplinary integration, and technology-enhanced instruction. A key element of my future teaching is the intentional introduction of artificial intelligence concepts and tools across multiple civil engineering courses, so that students in all subdisciplines graduate as AI-literate, practice-ready engineers. This includes integrating data-driven design examples, responsible-use discussions, applied modeling exercises, and collaborative problem-solving activities that help students understand how AI can enhance—not replace—engineering judgment. I am especially committed to ensuring that AI learning opportunities remain accessible, inclusive, and empowering for students with diverse backgrounds and prior experiences.