Select one of the options below:
CS 345 (Machine Learning Foundations and Practice) or DSCI 369 (Linear Algebra for Data Science) or MATH 160 (Calculus for Physical Scientists I (GT-MA1)) or MATH 369 (Linear Algebra I) or STAT 301 (Introduction to Statistical Methods) or STAT 315 (Intro to Theory and Practice of Statistics); Senior Standing with minimum overall 3.0 GPA. Completion of AUCC Category 2 with a minimum B grade for undergraduate enrollees
Assistant Professor of Systems Engineering
Dr. Yinshuang Xiao conducts interdisciplinary research at the intersection of systems science, network science, and data-driven engineering design. Her work is centered on understanding and designing complex socio-technical systems, with a strong emphasis on human-AI collaboration, human-system integration, and engineering for dynamic, interconnected environments.
The applications of Dr. Xiao’s research span a wide range of domains, including transportation systems, product market systems, electric vehicle (EV) charging planning, urban infrastructure, energy systems, and smart manufacturing. Key research themes include: 1) local-level network-based bottom-up design of complex systems; 2) engineering and design of complex systems with temporal dynamics; 3) AI-integrated system design for adaptive and responsive solutions; 4) multidimensional network modeling across interdependent systems.