Yang
Cao
St.
Auburn,
AL
*34-
332-
3678
*******@******.***
EDUCATION
Auburn
University
Master
of
Engineering,
Major
in
Electrical
and
Electronics
Engineering,
May
2014
CPA:
3.89/4.0
China
University
of
Petroleum
(Beijing)
Bachelor
of
Engineering,
Major
in
Electrical
and
Information
Engineering,
Minor
in
Foreign
Language,
July
2010
GPA:
3.28/4.0
Job
EXPERIENCE
Alabama
Micro
Nano
Science
and
Technology
Center
(AMNSTC)
Volunteer
• Responsible
for
the
operation
of
the
CHA
Mark-
50
E-
beam
deposition
system,
which
includes
sputtering
and
e-
beam
evaporation
• Assist
in
measurements
of
thin-
films
using
4-
point
probe
I-
V
measurement
• Assist
graduate
students
in
their
fabrication
process
and
provide
suggestions
• Maintain
the
cleanroom
facilities
• Update
chemical
inventory
and
manage
chemical
disposal
Research
Experience
Edge
Detection
for
Measuring
Line
Edge
Roughness
in
SEM
Images
• Implemented
an
algorithm
that
can
detect
the
boundary
features
of
an
image
accurately
in
SEM.
• Algorithm
works
in
various
conditions
of
SEM
images
(noise
level,
brightness
level,
focus,
etc.)
and
compared
it
with
other
existing
methods.
RELEVANT
COURSEWORK
Parallel
Processing
• Minimized
the
parallel
execution
time
for
the
image
processing
task
of
detecting
edges
in
noisy
images,
using
three
programming
interfaces
OpenMP,
MPI,
and
CUDA
(GPU.)
Computer
Architecture
and
Design:
• Designed
a
multi-
stage
16-
bit
CPU
in
VHDL
modeling
language,
including
datapath
design
and
verification,
and
control
unit
design,
simulated
and
verified
in
ModelSim.
• Design
was
implemented
in
a
DE2
FPGA
board
from
Altera
using
Quartus
II
software.
Analog
Circuit
Design:
• Designed
an
amplifier
using
0.5um
AMIS
technology
with
open
loop
voltage
gain
no
less
than
80dB
and
open
loop
3dB
frequency
breakpoint
at
300HMz.
Digital
Image
Processing
• Implemented
algorithm
from
“Towards
automatic
redeye
effect
removal”
in
Matlab
to
systematically
remove
red
eyes
from
an
image.
Microelectronic
Fabrication:
• Designed
Poly
Kelvin
Contact
circuit
and
MOSFET
layouts
using
CAD
tool,
i.e.
LASI.
• Hands-
on
experience
with
growing
dioxides,
photolithography,
wet
and
dry
etching
processes.
• Tested
the
structure
on
wafer
using
4145A
Parameter
Analyzer.
Neural
Network
• Implemented
a
fuzzy
controller
in
Matlab
to
model
a
given
surface.
Our
control
surface
model
was
then
implemented
with
a
neural
network
controller
and
compared.
Yang
Cao
–
Page
2
• Designed
a
neural
network
controller
for
the
same
surface.
The
network
had
two
inputs
and
one
output.
Found
proper
network
architecture
(by
trial
and
error)
and
trained
it
to
the
required
control
surface.
Adv
Numerical
Methods
• Solved
numerically
the
set
of
the
given
differential
equations
describing
the
Lorents
attractor.
• Tried
to
approximate
the
given
surface
with
different
methods
Fuzzy
Mamdani,
Fuzzy
TSK,
DCT
and
IDCT,
and
NBN.
Made
a
final
selection
of
the
method
to
have
the
smallest
approximation
error
with
minimum
number
of
“weights”
(parameters
needed
for
the
approximation.)
• Found
the
steady-
state
temperature
distribution
on
a
rectangular
printed
board
with
two
power
sources.
Analyzed
the
temperature
distribution
in
the
circuit
board
and
plotted
the
temperature
distribution,
using
Matlab.
Experimental
Statistics
• Analyzed
Human
Development
Index
(HDI)
and
its
influential
factors
with
basic
statistical
analysis
methods
ANOVA,
multiple
linear
regression,
and
Clustering,
using
SAS.
SKILLS
Programming
Languages:
C,
SAS
Applications:
MATLAB,
Microsoft
Office