I am interested in interdisciplinary research problems at the
interface between mathematics, science and engineering. In
particular, I study of wave propagation in random media with
applications to biomedical optical imaging of tissues and
wireless communications. Mathematically, these research areas
include the study of differential and integral equations,
asymptotic analysis, scientific computing and inverse
problems. I have studied also nonlinear dynamical systems in
the context of mode-locking fiber lasers.
Below is a list of research projects I am currently pursuing.
-
Numerical solution of the radiative transport
equation.
We are developing direct numerical simulation methods
for solving boundary value problems for the radiative
transport equation. High frequency wave propagation in
random media, such as light propagation in tissues, is
governed by the theory of radiative transport. The
radiative transport equation takes into account
absorption and scattering due to inhomogeneities in the
propagating medium. It is a partial
differential-integral equation. Analytical solutions of
the radiative transport equation are known only for
relatively simple problems. For practical problems, we
need to compute numerical solutions. Numerical solutions
are challenging to compute due to the large number of
independent variables (three spatial variables + two
angle variables + time).
-
Parameter identification and estimation for
reflectance optical spectroscopy.
We seek to identify the key optical parameters of
tissues that provide insight into tissue health and
develop methods to estimate these parameters from
measurements of backscattered light. The key challenge
here is developing a comprehensive understanding of how
optical properties such as absorption, scattering,
particle size distribution, etc are manifest in
reflectance measurements and how the determination of
these optical properties provide useful information
about tissue structure and composition.
-
Image reconstruction for diffuse optical
tomography.
We seek analytical and computational methods to solve
inverse problems for the radiative transport equation
that compute tomographic reconstructions of the optical
properties of tissues from measurements of scattered
light. The key challenge here is to use the minimum data
needed to reconstruct quality images with an
understanding of the maximum resolution possible.
-
Time reversal for ultra-wideband wireless
communications.
We are incorporating analytical and computational
methods from wave propagation in random media,
especially time reversal, into wireless communications
system design and analysis. For wireless systems,
multiple scattering adds space and angle diversity into
the channel. Furthermore, broad bandwidths introduce
more time and frequency diversity. Time reversal
exploits multiple scattering to focus broadband signals
in space and time. It provides a method to exploit all
of the diversity introduced by the channel. Through this
work, we seek to design next-generation systems with
faster transmission rates, greater coverage and more
reliability.
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