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  • March 14, 2017: Together with my student, Tianxiao Sun, we have posted a new paper “Generalized self-concordant functions: A recipe for Newton-type methods” on arxiv.org (https://arxiv.org/pdf/1703.04599.pdf [PDF]).
  • In Spring 2017, I am teaching a special topic course for graduate students at our department
    • Title: Selected topics in modern convex optimization: theory, algorithms and applications.
    • The tentative syllabus is available at [PDF].

Contact


QUOC TRAN-DINH
Department of Statistics and Operations Research    
333 Hanes Hall CB #3260
The University of North Carolina at Chapel Hill     
Chapel Hill, NC 27599
E-mail: quoctdATemailDOTuncDOTedu
Phone: +1-919-843-6023

About me


I am an assistant professor at the Department of Statistics and Operations Research, where I joined in July 2015. I was a postdoctoral researcher at Laboratory for Information and Inference Systems (LIONS), École Polytechnique Fédérale de Lausanne (EPFL),  Switzerland from November 2012 to June 2015. I completed my PhD in Optimization in Engineering in November 2012 at the Department of Electrical Engineering (ESAT) and Optimization in Engineering Center (OPTEC) under the supervision of Prof. Moritz Diehl.

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My research


My research is on numerical optimization: theory, algorithms, and applications. I have been working on equilibrium problems and variational inequalities; sequential convex programming (SCP) for nonlinear optimization and applications in model predictive control, optimal control, and static output feedback control; and first order and second order decomposition methods for [large-scale] convex optimization.  My current research focuses on efficient methods for convex optimization and matrix optimization, with applications in signal/image processing, statistics, and machine learning.


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