Curriculum Vitae
Websites
My main research areas are nonsmooth optimization and variational analysis. I am interested in both theoretical and numerical aspects with applications in machine learning and statistics. To provide further clarity, my research projects can be categorized into three distinct parts:
Qualitative Research: optimality conditions for nonsmooth optimization problems, properties of generalized convexity and monotonicity, stability, regularity, etc.
Quantitative Research: generalized first- and second-order numerical methods for solving nonsmooth nonconvex optimization problems including unconstrained optimization problems, constrained optimization problems, composite optimization problems, difference programming, bilevel optimization, stochastic optimization, etc.
Applications: applying aforementioned results in qualitative and quantitative studies for real practical optimization problems such as LASSO, fast best subsets selection, support vector machine, quadratic programming, clustering problems, minimax problems, etc.
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Doctor of Philosophy in Applied Mathematics, Wayne State University, Detroit, Michigan, USA (June 2024)
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Master’s Degree in Applied Mathematics, Wayne State University, Detroit, Michigan, USA (May 2021)
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Bachelor’s Degree in Mathematics Teacher Education, Ho Chi Minh City University of Education, Ho Chi Minh City, Vietnam (June 2018)