My research focuses on essential challenges related to data, information, and knowledge management in construction engineering and project management. Infrastructure and construction projects are critical to society. Therefore, improvements in project execution have broad and long-term consequences. In the last few decades, the infrastructure and construction sectors have been moving at an extraordinary pace towards globalization. At the same time, evolving requirements are increasing project complexity and causing difficulties to an already elaborate process, which typically involves dynamic interactions among several organizations. Communications, computation, information, and sensing technologies provide alternatives for collaboration, coordination, and decision-making in this complex, dynamic, and distributed project environment. The project data being collected also provide a valuable source for data mining. Discovered knowledge can be used to improve the performance of future activities and projects. However, the inherent characteristics of construction project data still pose challenges to data processing, information management, and knowledge discovery. For all of these reasons, research in these areas is essential in order to build faster, cheaper, safer, and sustainable infrastructure and construction projects. My educational background is in the fields of civil engineering, construction management, and computer science. I combine experience and knowledge from all of these areas to successfully develop my research program. I also strive to conduct studies that span from fundamental research to applied knowledge, bridging the gap between some of the significant challenges of computational research and the applied aspects of construction engineering and project management. My current research efforts can be divided into three main interrelated and complementary themes: intelligent and automated construction job site, leveraging information technology to improve project management processes, and knowledge discovery and transfer techniques.