Ruimin Ke

Dr. Ruimin Ke is an esteemed Assistant Professor in the Department of Civil and Environmental Engineering at Rensselaer Polytechnic Institute. With a keen focus on intelligent transportation systems (ITS), Dr. Ke is at the forefront of integrating advanced technologies into transportation engineering. His research is primarily centered on the development of machine learning algorithms and edge computing systems tailored for ITS applications, aiming to enhance the efficiency and safety of transportation networks. Dr. Ke's academic journey is marked by a robust educational background. He earned his Ph.D. and M.S. degrees in Transportation Engineering from the University of Washington, where he honed his expertise in transportation systems. Complementing this, he holds an M.S. in Computer Science from the University of Illinois Urbana-Champaign, which equips him with a strong foundation in computational techniques. His academic pursuits began with a Bachelor of Engineering in Automation from Tsinghua University, laying the groundwork for his interdisciplinary approach to engineering challenges. Throughout his career, Dr. Ke has made significant contributions to the field, authoring over sixty peer-reviewed papers and a published book. His innovative work has also led to the acquisition of several patents, underscoring his role as a pioneer in transportation technology. Dr. Ke's scholarly impact is further recognized through his editorial roles in four prestigious journals, where he contributes to shaping the discourse in his field. Dr. Ke's excellence in research has been acknowledged through numerous awards, reflecting his dedication and influence in the realm of transportation engineering. His professional affiliations include membership in the Transportation Research Board (TRB) standing committees on Artificial Intelligence and Advanced Applications (AED50) and Statewide/National Transportation Data and Information Systems (AED10). Additionally, he is actively involved with the American Society of Civil Engineers (ASCE) T&DI Infrastructure Systems Committee and the ASCE T&DI Artificial Intelligence in Transportation committee, as well as being a member of IEEE. Through his work, Dr. Ke continues to push the boundaries of what is possible in intelligent transportation systems, striving to create smarter, more responsive transportation infrastructures. His commitment to advancing the field is evident in his ongoing research and active participation in professional communities dedicated to the integration of technology and transportation.