Dao Nguyen

Papers

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About

Dao Nguyen is a leading researcher in the mathematical theory of optimal control, with a particular focus on nonsmooth dynamical systems and sweeping processes. Her work bridges rigorous theoretical foundations with practical applications in robotics and traffic flow modeling. In her highly cited 2019 paper, she developed groundbreaking optimal control strategies for sweeping processes, earning 23 citations and establishing her as a key contributor to this emerging field. Nguyen's 2020 work advanced the field further by creating discrete approximation methods to derive necessary optimality conditions for constrained sweeping processes with nonsmooth perturbations—a notoriously challenging problem. Her research addresses some of the most interesting and complex questions in modern control theory, providing essential tools for engineers and applied mathematicians. By tackling the intersection of optimization, nonsmooth analysis, and real-world constraints, Nguyen's contributions are shaping how autonomous systems navigate dynamic environments. Her work continues to influence both theoretical developments and practical implementations in robotics and traffic management.