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.
Σχόλια 0
Συνδεθείτε για να κοινοποιήσετε σχόλιο