Kui Ren

Professor of Applied
Mathematics

Department
of Applied Physics and Applied Mathematics

215 S. W. Mudd Building

500 W 120^{th} Street

New York, NY 20017

Tel: 212-854-4731

Email: kui.ren@columbia.edu

I am
currently on leave from Department of
Mathematics, The University of Texas at
Austin.

I am
interested in applied and computational mathematics in general. My recent research
topics include: inverse problems, mathematics of imaging, fast algorithms,
kinetic modeling, and random graphs and complex networks.

Here are some recent preprints/reprints (a full list can be found here):

· An implicit
boundary integral method for computing electric potential of macromolecules in
solvent (with R. Tsai and Y. Zhong), *J. Comput. Phys., *359:199-215,
2018. [pdf].

· Image reconstruction in quantitative PAT with the simplified P_{2}
model (with
C. Frederick and S. Vallelian), *SIAM J. Imag. Sci., *2018. [pdf].

· Surface effects
in dense random graphs with sharp edge constraint (with C. Radin
and L. Sadun), *Preprint, *2017. [pdf].

· Quantitative
photo-acoustic imaging of two-photon absorption, (with P. Bardsley
and R. Zhang), *J. Biomed. Opt.*, 23, 016002, 2018. [pdf].

· A global
stability estimate for the photo-acoustic inverse problem in layered media,
(with F. Triki), *European J. Appl. Math., *In
Press, 2018. [pdf].

· The phases
of large networks with edge and triangle constraints, (with R. Kenyon, C. Radin and L. Sadun), *J. Phys.
A: Math. Theor.*, 50, 435001, 2017. [pdf].

· Nonlinear
quantitative photoacoustic tomography with two-photon absorption (with R.
Zhang), *SIAM J. Appl. Math.*, 78, 479-503, 2018. [pdf].

· A fast algorithm
for radiative transport in isotropic media (with R. Zhang and Y. Zhong), *Submitted*, 2016. [pdf].

· A symmetry
breaking transition in the edge/triangle network model (with C. Radin and L. Sadun), *AIHP-D*,
5:251-286, 2018. [pdf].

· Numerical
algorithms based on Galerkin methods for the modeling
of reactive interfaces in photoelectrochemical (PEC)
solar cells (with M. Harmon and I. M. Gamba), *J. Comput. Phys.*, 327, 140-167, 2016. [pdf
].

· Inverse
transport problems in quantitative PAT for molecular imaging (with R. Zhang and
Y. Zhong), *Inverse Problems,* 31, 125012, 2015. [pdf].

· Bipodal structure in oversaturated random graphs (with R. Kenyon, C. Radin and L. Sadun), *Int.
Math. Res. Notices*, 2016, 1-36, 2016. [pdf].

· On
the modeling and simulation of reaction-transfer dynamics in
semiconductor-electrolyte solar cells (with Y. He, I. M. Gamba
and H. Lee), *SIAM J. Appl. Math.,* 75,
2515-2539, 2015. [pdf].

· A
one-step reconstruction algorithm for quantitative photoacoustic imaging (with
T. Ding and S. Vallelian), *Inverse Problems,*
31, 095005, 2015. [pdf]. This paper was selected as by Inverse
Problems as one of the papers in its collection: Highlight
of 2015

· Multipodal Structure and Phase Transitions in Large Constrained Graphs (with R.
Kenyon, C. Radin and L. Sadun),
*J. Stat. Phys., *168, 233-258, 2017. [pdf].

· The Asymtotics of Large Constrained Graphs (with C. Radin and L. Sadun), *J. Phys. A: Math. Theor.*
47**,** 175001*, *2014. [pdf]. One figure in the paper appears on the cover of the
journal.

· Quantitative
photoacoustic imaging in the radiative transport regime (with A. Mamonov), *Commun**. Math.
Sci*, 12, 201-234, 2014. [pdf].

· Inverse
transport calculations in optical imaging with subspace optimization algorithms
(with T. Ding), *J. Comput. Phys., *273,
212-226, 2014 [pdf]

· Quantitative fluorescence
photoacoustic tomography (with H. Zhao), *SIAM
J Imag. Sci.*, 6, 2404-2429, 2013. [pdf]

· A
hybrid reconstruction method for quantitative PAT (with H. Gao and H. Zhao), *SIAM
J. Imag. Sci.*, 6, 32-55, 2013. [pdf]

· On
multi-spectral quantitative photoacoustic tomography (with G. Bal), *Inverse Problems*, 28, 025010,
2012. [pdf]. This paper was selected as a featured article by
Inverse Problems and then chosen to be
included in its collection Highlight
of 2012

The Applied Mathematics
Research Group at Columbia: Applied Mathematics Colloquium * Probability Seminar* Mathematics
Colloquium

The Data Science Institute at
Columbia: Data Science
Colloquium

If you
have a PhD in mathematics but forget already who your thesis advisor was, you
can probably figure it out here.

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