Statement of Purpose

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Oct 29, 2013 (3 years and 1 month ago)

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Statement of Purpose Wei Zhang


1




Statement of Purpose

Wei Zhang

I am
doing my research
in the field Biomedical Engineering

(EE/B
ME
)
,
but I realized the BME

is a
n
overlapped

f
ield including computer science,
mathematics

and biomedical science
. I

decide to
apply

for
the
Ph.D. program

at
your university

in order

to continue my research

in

the field of Computer Science.


When I was a young boy, I had a dream of becoming a scientist who

would

contribute all

of his

life to
human development.

The movie Beautiful Mind which told a story of mathematician John Nash was
impressive. The mathematician made a
significant

contribution

on Game Theory and awarded Nobel
Economy Prize, although the serious mental disease debilit
ated him.
I
n
the Princeton

cafeteria
, many
professors put their pens on the table where John
Nash

sat

to show their admiration
.

I later enrolled in
Lanzhou University of Science and Technology

where I began to set my academic dreams in motion.



As a freshman in the university, I
had
passed
the

selective examination. In the elite group

of students
, I
studied much harder in order to become a scientist just like
Mr.
Nash.
At
Lanzhou University of
Science and Technology

in 2005
, I passed
a

selective
examination
that allowed me to

join the elite
students group

which concentrates on how to

train

the students with research potential
.
But the most
important, the elite class aroused my interest
to discover unknown
scientific
field. Firstly
, I was
intereste
d in

Higher Mathematics.
The ordinary courses are not satisfied.
I
had a try

to solve the
harder
problem sets of
B.P.

Demidovich
. In a book Real Analysis by Terence Tao, the mathematician
told

me
how the
addition

originates

rather

than how to use it, which is very distinctive. I
t is very
useful

to
broaden my horizons
and
inspire

me
.
It was very competitive in the

echelon of

students,

my GPA 80.33
was not high, but my academic ranking was 5 percent of the whole grade of 500 students
.
Fortunately, I
am

skilled at higher mathematics and control theory. I passed the National Entrance Test of Master
Candidates, and entered Tongji University. I was awarded
a

Class A scholarship as a post
-
graduate
,
due
to
my high score and excellent perfor
mance of interview
.


I
began

research

on Magnetocardiography

in September, 2010.
There were two
course
s Pattern
Recognition and Advance Intelligence which I chose. In the classe
s
,
P
rofessor Li who is
Executive
Committee Member and Associate Secretary of
CAAI Machine Learning Society

and
Fellow of The
International Society of Intellige
nt Biological Medicine (ISIBM)
, he encouraged me to improve the
performance of current algorithm and taug
ht me some skills when I compared the
different algorithms

in a same
testing system
. My term paper on Pattern Recognition
tried

to analyze the neutral network
based on BP algorithm used in numerical calculation. In the paper, I proposed the relationship of
training t ime, accuracy, and number of hidden layers neutron.

I obtained a high score. The second term
paper on Advance Intelligence, I
wanted

to improve the robust
ness

of Genetic Algorithm

(GA)
. The
P
rofessor Li

approved the improvement on GA, and he said I was an innovative postgraduate.
Participating in
the Natio
nal Natural Science Foundation of China and Shanghai Science and
Technology Development Foundation
,

m
y supervisor
oversees

m
y

investigat
ion
on human cardiac
Statement of Purpose Wei Zhang


2


conductivity

that I believe could lead

to discover
y of

novel methods
of

diagnos
ing

diseases.
How to
estimate cardiac
conductivity

is
definitely

a hard issue.
T
here are very few research references
,
and
only can I find a similar dissertation on brain conductivity
. I noticed that the problem
can

be
transformed into a mathemat ic equation
:

t
he Rit z
-
Ga
lerkin parameter identificat ion method, which is
used

to find the parameter in the partial differential equations
, can simplify my original equation firstly
.
Although the problem became much easier, there was another one on how to choose an optimal
algorit
hm to find the solutions of
parameters in the
simplified equations. Under the suggestion of
professor Li, I read a lot of dissertations published on the authority journal such as IEEE Transaction
on Evolutionary Computation.
A
fter

reading those papers
,
by
contacting with professor Suganthan,
I
decide to use the Comprehensive Learning Part icle Swarm Optimal

(CLPSO)

Algorithm
in order to
find the optimal solution of parameters
.
Because I tested CLPSO in Benchmark problem 100 t imes, it
performs better, especia
lly in the speed and accuracy.
I can estimate the

human cardiac conductivity
non
invasively in Magnetocardiography.

The advice of
P
rofessor Li
carved in my heart.

I can follow my
dream of being a scientist, who contributes all life to human world.



With the
assistance

of my supervisor, I report
ed

our preliminary result
s

at

international conferences,
such as
2012 International Conference on Biomedical Engineering and Biotechnology

(iCBEB)
,
the
4th
Asian Symposium on Magnetocardiography

and
the
18th In
ternational Conference on Biomagnetism

(BioMag)
.

At

iCBEB, I introduced our method and result on estimation of
human

cardiac

conductivity

and presented our slideshows.
At

BioMag, I joined a poster presentation. My poster attracted some
famous professors. The professor David Cohen at MIT encouraged me to do further investigation on
cardiac
conductivity
. Peter van Leeuwen, a German scientist, wanted to
cooperate

with us. Why
do I
have an opportunity to exchange ideas with those pundits in the BME? The answer is CLPSO, the
algorithm. Actually, the computer science plays a crucial role in my research process. I believe that I
investigate the algorithm which contributes to
the
BM
E in order to present a novel
noninvasive
method
to diagnose or cure human cardiac conduct disease such as CRBBB or CLBBB.

The algorithm is a
crucial factor which can give me an opportunity to lessen the pain of patients


In June 2012, I joined Dragon Star

Plan subsidized by Chinese Academy of Science. Two professors
introduced
their

research on biomedical image. The professor Shen came from UNC Chapel Hill, and
he focused on the MRI image registration and segmentation. Another professor Liu worked at UGA,
and he used fMRI to investigate the human brain activity.
They can utilize the image classification
technique to find a specified human organ in MRI image quickly and accurately.
I realized that my
research on conductivity is not so accurate.
With

limitation of my device, I cannot obtain an accurate
cardiac boundary.
Machine Learning and Artificial Intelligence algorithm
s

are
vital techniques in
constructing an accurate conduct model
.
For the BME, several major
scientific genres

overlap. I am
eager

to synthesize the ideas and knowledge of mathematic
s
, computer science and biomedical
engineering.
S
ome human organ
-
shape
d

model
s

can be obtained by Machine Learning, based on lots of
samples
, which can present a
standardized

model and boundary
.

In future

work,
I
want

to learn the
algorithm and produce a new
suitable
one for my research

on how to construct 3D cardiac conduct
model
. I
envision the
model, based on

mathematics and computer science
,
to

assist

doctors
in

diagnos
ing

cardiac
conduction
disease

non
invasively

which means the algorithm applied for the real
world.
For instance, only can I detect in
-
vitro data from human heart
, and then I can diagnose disease
rather

than the painful c
oronary angiography
.
I was once fantastic with how to improve the
Statement of Purpose Wei Zhang


3


performance of algorithm just like Particle Swarm Optimization. But a famous professor Eric
Goodman at University of Michigan in his lecture suggested me
the

most important value of algorithm
is its contribution to the real world. The
improvement

of
algori
thm

can relieve the suffering of people.


I was once
so
fantastic with how to improve the performance of algorithm just like Particle Swarm
Optimization. But a famous professor Eric Goodman at University of Michigan in his lecture suggested
me
the

most important value of algorithm is its contribution to the real world. I aware of the most
values

of algorithm that is applying to real world.


I can follow my dream of being a scientist,
ease

the pain of patients and can do contribution to the real
wor
ld.
It is well known that Johns Hopkins University is a top
university

around the world. Despite the
most famous department
is BME, the computer science is a
vital field supporting the BME
.
I believe
that my further research can support the development of
BME.
At

JHU, I continue

my research on
algorithm, so I feel
glad
;
at

JHU, my work does contribution to the BME, which can relieve suffering

of patients
;
at

JHU, my
investigation

of algorithm is applying to medicine science, a definitely real
world.
Scientists like
Mr.

Nash, who developed the game theory

and

won the Nobel Prize

have
an
opportunity

to
do contribution on mathematics and e
conomy,
as Einste
i
n said, their names should be
carved on people’s

heart.

I am
confident

that
the

university can offer me an opportunity
to realize my
dream
. The
university

is Johns Hopkins University.