Dr. Xiaowei Wang | Urban Design and Mobility | Young Scientist Award
Northeastern University | China
Xiaowei Wang is a researcher in Vehicle Engineering at Northeastern University, specializing in intelligent vehicles, autonomous driving systems, and nonlinear control. He has served as an Assembly Technician and Project Assistant, contributing to the development of unmanned intelligent cleaning vehicles, advanced perception systems, and vehicle–cloud collaborative architectures, while also leading quality control and process optimization efforts in automotive production. His research focuses on vehicle system dynamics, distributed drive electric vehicles, cooperative steering control, dynamic programming, game-theoretic decision-making, and fractional-order control, supported by major contributions to national and provincial projects involving dynamic modeling, hardware-in-the-loop platform design, multi-objective stability controller development, and real-vehicle verification. He has published extensively in high-quality journals, secured invention patents, and obtained multiple software copyrights, demonstrating strong academic productivity and technological innovation. His accomplishments have been recognized through competitive scholarships, professional certifications, and honors for research excellence and scientific service. His research impact includes 260 citations, 14 publications, and an h-index of 7.
Featured Publication
1. Liu T., Wang X., Zhao J., Li G., Interacting multiple model-based yaw stability control for distributed drive electric vehicle via adaptive model predictive control algorithm. Proc. Inst. Mech. Eng. Part I J. Syst. Control Eng., 2025.
Through pioneering research in nonlinear control, cooperative steering, and distributed drive electric vehicles, the nominee delivers impactful innovations that improve vehicle stability, autonomy, and reliability. His work accelerates scientific progress in intelligent transportation while enabling practical advancements that benefit society and industry alike.