Rice University, L1-Related Optimization Project

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People


Faculty:
Zhang, Yin, Professor

Ph.D., State University of New York, Stony Brook, 1987.

Design, analysis, and implementation of computer algorithms for solving practical optimization problems.

Yin, Wotao, Assistant Professor

Ph.D., Columbia University, 2006.
B.S., Nanjing University, 2001.

Convex and Combinatorial optimization; inverse problems.

Postdocs:

Wen, Zaiwen, NSF Math Institutes' Postdoc

Ph.D., Columbia University, 2009
M.S, Academy of Mathematics and System Sciences, Chinese Academy of Sciences, 2004
B.S, Shanghai Jiaotong University, 2001

Large-scale computational optimization, PDE-constrained optimization and applications in science and engineering.

Stefan, Wolfgang

Ph.D., Arizona State University, 2008.
Diploma in Technomathematik Munich University of Technology (TUM), Munich, Germany 2003.

Compressed sensing, inverse problems, approximation theory, optimization.

Graduate Students:

Wang, Yilun

M.S., Fudan University, China, 2005.
B.S., Dalian University of Science and Technology, China, 2002.

Convex image processing models.

Li, Chengbo

B.S., Nanjing University, China, 2007.

L1-minimization, TV-minimization for the single pixel camera, hyperspectral image processing and high performance buildings.

Reyna, Nabor

B.S., The University of Texas - Pan American, Edinburg,TX, 2008.

L1-optimization and its applications to computer vision, in particular face recognition models.

Alumni:

Hale, Elaine T., Pfeiffer/VIGRE Instructor

Ph.D., University of Texas at Austin, 2005.
B.S., Georgia Institute of Technology, 2000.

Parametric nonlinear programming; chemical engineering applications; computational image processing; large-scale nonlinear programming.

Previous Visitors:

Yang, Junfeng, Visiting Scholar (Aug. '07 - Feb. '09)

Ph.D., Nanjing University, 2009.
M. Sc., Institute of Computational Mathematics, CAS, 2006.
B.S., Hebei Normal University, 2003.
Numerical optimization and its applications in compressive sensing, image processing and computer vision