

Xinwu Qian
Dr. Xinwu Qian plays a critical role in advancing the field of transportation engineering through his innovative research and academic contributions. As an Assistant Professor in the Department of Civil, Construction, and Environmental Engineering at the University of Alabama, Dr. Qian is dedicated to exploring the intersections of transportation engineering, operation research, and computer science. His work is particularly focused on the areas of transportation electrification, public transportation, and shared mobility, which are crucial for developing sustainable and efficient transportation systems. Dr. Qian's academic journey began at Tongji University, where he earned his Bachelor of Science degree. He then pursued advanced studies at Purdue University, obtaining both a Master of Science in Engineering and a Ph.D. His educational background has equipped him with a robust foundation in engineering principles and research methodologies, enabling him to tackle complex challenges in the transportation sector. In addition to his teaching and research responsibilities, Dr. Qian contributes to the academic community through his involvement with esteemed journals. He serves as an Early-Career Editorial Advisory Board member for Transportation Research Part C: Emerging Technologies, where he helps guide the publication of cutting-edge research in the field. Furthermore, he is an Editorial Board member for Data Science for Transportation, reflecting his expertise in leveraging data-driven approaches to solve transportation problems. Dr. Qian's research endeavors are supported by significant funding from prominent organizations such as the United States Department of Transportation (USDOT), the National Science Foundation (NSF), and the United States Department of Energy (USDOE). These grants underscore the importance and impact of his work in shaping the future of transportation systems. Through his interdisciplinary approach, Dr. Qian is committed to addressing the pressing challenges facing modern transportation. His research not only contributes to the academic community but also has practical implications for improving transportation infrastructure and policy. By integrating concepts from computer science and operation research, he is at the forefront of developing innovative solutions that enhance mobility and sustainability. Dr. Qian's dedication to his field is evident in his ongoing efforts to mentor students and collaborate with fellow researchers. His work continues to inspire the next generation of engineers and researchers, fostering a deeper understanding of the complexities of transportation systems and the potential for technological advancements to drive positive change.