Research


Research interests


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. I am also working on proximal interior-point methods for convex constrained programming with applications in conic programming and SDP relaxations.


Publications


My publications and working papers can be found HERE.


Graduate students


I am still looking for new Ph.D. candidates to work with me at STAT & OR – UNC.

Currently, I have two Ph.D. students:

  • Sun Tianxiao (Ph.D. student, co-advisor with Shu Lu)
  • Zhu Melody (Ph.D. student, co-advisor with Gabor Pataki)

Master students: 1 master student (Aditya Balaram, finished in May 2017).


Grants



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