Jia Li

Dr. Jia Li is internationally recognized for his pioneering work in the field of civil and environmental engineering, particularly in the integration of machine learning and data science within the built environment. As an Adjunct Assistant Professor at the University of California, Davis, Dr. Li has made significant contributions to the understanding and development of mixed autonomy transportation systems. His research is at the forefront of using advanced computational techniques to enhance the safety and efficiency of traffic flow. Dr. Li's work is distinguished by his innovative application of game theory modeling to traffic systems, providing new insights into the dynamics of transportation networks. His research interests are broad, encompassing the use of data science to address complex challenges in the built environment and the application of machine learning to improve safety protocols. This interdisciplinary approach has positioned him as a leader in developing strategies that optimize transportation systems in increasingly urbanized settings. In addition to his research, Dr. Li is committed to advancing the field through education and collaboration. He actively engages with students and colleagues to foster a deeper understanding of how technology can be leveraged to solve real-world problems in civil engineering. His dedication to teaching and mentorship is evident in his efforts to prepare the next generation of engineers to tackle the challenges of modern transportation systems. Dr. Li's contributions have been recognized through numerous publications and presentations at international conferences. His work not only advances academic knowledge but also has practical implications for policymakers and industry leaders seeking to implement more efficient and safer transportation solutions. Through his research and teaching, Dr. Li continues to influence the future of transportation engineering, making significant strides toward more sustainable and intelligent infrastructure systems.