Rudai Shan is an Associate Professor at the Jianghe School of Architecture, Northeastern University, China. She received her Master's degree, Ph.D., and postdoctoral training in Building Technology from the University of Michigan. She also serves as Secretary-General of the Digital Design and Construction Committee of the Liaoning Civil Engineering Society.

Her research focuses on the intersection of artificial intelligence, construction robotics, and digital construction. Her current interests include intelligent modeling and optimization of building energy and environmental performance; task and trajectory planning for construction robots; modular assembly in harsh environments; generative design; and Design for Robotic Assembly (DfRA). More broadly, her work explores intelligent sensing, machine-learning-based optimization, robotic assembly, digital twins, low-carbon construction, and the integration of Physical AI with real-world built-environment applications.

Dr. Shan has led and completed a range of national, provincial, and municipal research projects, including a Young Scientists Fund project of the National Natural Science Foundation of China, a subproject of China’s National Key Research and Development Program during the 13th Five-Year Plan period, projects funded by the Natural Science Foundation of Liaoning Province, the Liaoning Provincial Department of Housing and Urban-Rural Development, and the Shenyang Science and Technology Program.

She serves as a reviewer for international journals including Automation in Construction and the Journal of Building Engineering. She is also a reviewer for the National Natural Science Foundation of China, an expert member of the Expert Committee of the China Association of Building Energy Efficiency, and a career mentor for the University of Michigan–Shanghai Jiao Tong University Joint Institute.

Dr. Shan has been invited to present her research at international academic conferences in the United States, the Netherlands, Italy, India, Japan, South Korea, Mexico, and other countries and regions. She has conducted research and engineering practice across multiple climate zones in China and has carried out field investigations in more than 200 cities across over 40 countries in Asia, Europe, North America, and South America.

Her long-term goal is to develop transferable AI and robotics methods for the built environment, with particular emphasis on environment-aware robotic planning, digital construction, and intelligent low-carbon building systems.