Research statement

Research Statement

By: Fang, Can 方灿

mrfunder@hotmail.com,

fangc2@upmc.edu

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)