research statement
DESCRIPTION
This is my acaTRANSCRIPT
Academic Background
B.S of Electrical Engineering (Xi’An
JiaoTong University, China)◦ Dissertation: “DS1302 Chip Coding and Encrypting
Study in Contact-less IC Card System”
PhD of Computer Science (Nanyang
Technological University, Singapore)◦ Dissertation: “Graph-Theoretic and Geometric
Optimizations in Communication Networks”
Technical Skill Highlights
Computer Science
◦ Mathematical modeling, optimization and simulations
◦ Algorithm prototyping, code developing
Optics
◦ Device design, setup and alignment
◦ Monte Carlo simulation
Good knowledge in broad range of general
science and technology
PhD Researches
My PhD research work is composed of four
projects:a. Optimal Wavelength Converter with Guaranteed Wavelength Usage
b. Load-Balanced Clustering in Wireless Sensor Networks (WSNs)
c. Worst-case and Best-case k-coverage Problem in WSNs
d. Generalized Study on Movement-assisted Sensor deployment problem
These four projects can be classified by
approaches used:◦ Graph-theoretic approach
◦ Geometric approach
Graph-Theoretic VS Geometric
Optimizations
Graph-theoretic approach Geometric approach
Formulate the original
problem into “graphs” (tree,
path, star, ring, etc)
Study the measurable properties
of figures (size, shape, angle,
position, etc)
A graph is composed of edges
and vertices (nodes)
Deals with problems of
computing geometric objects
Graph-Theoretic VS Geometric
Optimizations (cont’)
·
·
I
FP
Project A: Project C:
Project B:Project D:
Current Work
Multi-spectral optical probe
Spectrum-scanning
microscope
Tissue light
scattering
fingerprinting
system
As lead player:As team player:
Light Scattering Fingerprinting
System
Data Acquired
Raw data:
◦ CCD arm: two dimensional scattering
intensity distribution;
◦ Spectrometer arm: scattering angle/
wavelength distribution
Parameters (markers) after processed:
◦ LEBS peak height, width, correlation, spectral
slope, etc
Data Example
wavelength
sca
tterin
g a
ngle
processed LEBS peak
scattering anglewavelength
Spectrum-Scanning Microscope
splitter
Xe
objective
interchangeable
splitter
commercial
microscope
telescopic
objective
slit
scanning stage
and CCD
Data Acquired
Raw data:
◦ Three dimensional data cube, reflected
intensity R(x, y, λ), where λ is the spectrum
from 400nm to 700nm.
After processed:
◦ Refractive index distribution within the cell
Example
Cervix cells(cancer)
3
3
12
1
2
Multi-Spectral Optical Probe
Xe
405nm laser
fiber switch
coupling optics
probe head
fiber switch
spectrometer
Data Acquired
Raw data:
◦ Depth-selective spectrum of back scattered
light
Proceesed:
◦ Scattering feature: slope
◦ Absorption feature: concentration of
absorbers (Hb, HbO2, Beta-carotene, etc)
Data example
Hemoglobin phantom measurement
(Hb increased from 1g/L to 15g/L)