Biography

Websites:
Google Scholar
Personal web page

Education:
PhD, Applied Mathematics, Wayne State University
B.S., Mathematics Teacher Education, Ho Chi Minh City University of Education

Research Expertise:
My recent research interests lie at the intersection of optimization theory and machine learning, including, but not limited to: Variational analysis | Mathematical optimization | Machine learning and statistical learning theory.

Selected Publications:
Khanh PD, Mordukhovich BS, Tran DB (2025), Globally Convergent Derivative-Free Methods in Nonconvex Optimization with and without Noise, Mathematical Programming, DOI: 10.1007/s10107-025-02255.

Khanh PD, Luong H-C, Mordukhovich BS, Tran DB (2024), Fundamental Convergence Analysis of Sharpness-Aware Minimization, NeurIPS 2024; https://neurips.cc/virtual/2024/poster/95276.

Khanh PD, Mordukhovich BS, Phat VT, Tran DB (2024), Globally convergent coderivative-based generalized Newton methods in nonsmooth optimization, Mathematical Programming, 205: 373–429.

Khanh PD, Mordukhovich BS, Tran DB (2023), Inexact reduced gradient methods in nonconvex optimization, Journal of Optimization Theory and Applications, 203:2138-2178.