Assistant Professor, Business Analytics

PhD in Operations Research, Massachusetts Institute of Technology

MS in Mathematics, National University of Singapore

BE in Electrical Engineering, National University of Singapore

Continuous optimization with applications to data science and operations management

Zhao, R. (2025). New Analysis of An Away-Step Frank-Wolfe Method for Minimizing Logarithmically-Homogeneous Barriers. Mathematics of Operations Research.

Zhao, R. (2024). A Primal-Dual Smoothing Framework for Max-Structured Non-Convex Optimization. Mathematics of Operations Research. 49 (3) pp. 1535–1565.

Zhao, R. & Freund, R. M. (2023). Analysis of the Frank-Wolfe Method for Convex Composite Optimization involving a Logarithmically-Homogeneous Barrier. Mathematical Programming Series A. 199 (1-2) pp. 123 – 163.

Zhao, R. (2022). Accelerated Stochastic Algorithms for Convex-Concave Saddle Point Problems. Mathematics of Operations Research. 47 (2) pp. 1443–1473.

Suh, C., Tan, V. V., & Zhao, R. (2017). Adversarial Top- K Ranking. IEEE Transactions on Information Theory.

Hien, L., Zhao, R., & Haskell, W. B. (2023). An Inexact Primal-Dual Smoothing Framework for Large-Scale Non-Bilinear Saddle Point Problems. Journal of Optimization Theory and Applications.

Zhao, R. & Tan, V. Y. (2017). Online Nonnegative Matrix Factorization with Outliers. IEEE Transactions on Signal Processing.

Miao, S., Wang, Y., & Zhao, R. (2023). Dynamic Learning Policy for Multi-Warehouse Multi-Store Systems with Censored Demands.

Zhao, R. (2025). The Generalized Multiplicative Gradient Method and Its Convergence Rate Analysis.

Zhao, R. (2025). Analysis of Dual Averaging With Non-Strongly-Convex Prox Functions.

Zhao, R. (2024). On the Projection-Based Convexification of Some Spectral Sets.

Visiting Assistant Professor, Business Analytics, University of Iowa, 2022 - 2023