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Academic
Qualifications
Ph.D., Industrial &
Manufacturing
Engineering,
Pennsylvania State
University, University
Park, PA,
1997.
M.S., Industrial &
Manufacturing
Engineering,
Pennsylvania State
University, University
Park, PA, 1994.
B.Tech, Mechanical
Engineering, S.V.
University, Tirupati,
India, 1992.
Professional Experience
Professor Satish
Bukkapatnam had served
as an Assistant
Professor at the
University of Southern
California Los Angeles,
and as a summer faculty
consultant at the Naval
Research Lab, Washington
DC. His research in
Sensor-based Modeling is
a fundamentally new
approach to improve
quality and integrity of
precision manufacturing
machines and
processes (e.g.,
ultraprecision machining
process for realizing
optical surfaces,
chemical-mechanical
polishing (CMP) of IC
wafer-stacks, precision
grinding of aerospace
components), and other
real-world complex
systems (e.g., smart
material and structural
systems, the Internet
and a variety of
infrastructure systems
of interest to IT,
transportation, medical
and defense
enterprises). This
approach is based on
augmenting the
statistical and
intelligent systems
foundations of modern
monitoring technologies
with nonlinear dynamics
principles. The core of
this research is to
harness information on
the nonlinear and
stochastic dynamics of
processes buried in, and
the resulting behaviors
including chaos,
self-organization and
long-range dependencies
observed from, an array
of wired and wireless
(e.g., RF/RFID) sensor
signals, and to track
features extracted from
these models to monitor
and control quality and
integrity of complex
systems. His research
thus far has yielded 25
publications in
peer-reviewed journals,
and 20 publications in
refereed conference
proceedings. This
research has been the
basis for 4 PhD theses.
The ongoing research
involves four PhD
students and 10 M.S.
students and two
undergraduate students.
These include 3 members
from underrepresented
groups. The National
Science Foundation,
Federal Aviation
Authority, Caltrans,
Naval Research Lab,
Office of Naval Research
and other agencies as
well as industries
including General
Motors, Honeywell,
Hewlett Packard and
National Instruments
have supported his
research. He has
developed courses in
Manufacturing and
Information Systems as
offshoots from this
research. He was a
recipient of Alpha Pi Mu/
Omega Rho Outstanding
Teacher of the Year in
Industrial Systems
Engineering, USC, and
Outstanding Young
Manufacturing Engineer
Award from the Society
of Manufacturing
Engineers.
Teaching and Research
Interests
Sensor-based Quality and
Integrity Monitoring of
Complex Systems
Machining and other
Manufacturing Process
Dynamics
Sensor-based Anomaly and
Intrusion Detection, and
Predictive Maintenance
Dynamic Data Mining
RFID/RF Sensing
Applications
Selected Publications
and Paper Presentations
S.T.S. Bukkapatnam,
S.R.T. Kumara and A.
Lakhtakia, "Dependence
of computed trajectories
on the step size in a
nonlinear dynamic
system: An investigation
into cutting tool
dynamics," IIE
Transactions, Vol. 27,
pp. 519-529, 1995.
S.T.S. Bukkapatnam, A.
Lakhtakia and S.R.T.
Kumara, "Analysis of
sensor signals shows
turning on a lathe
exhibits low-dimensional
chaos," Physical Review
E, Vol. 52, No. 3, pp.
2375-2387, 1995.
S.T.S. Bukkapatnam, A.
Lakhtakia and S.R.T.
Kumara, "Chaos theory
based optimal cutting
tool chatter control, "
Speculations in Science
and Technology, Vol. 19,
pp. 137-148, 1996.
S.T.S. Bukkapatnam,
S.R.T. Kumara and A.
Lakhtakia, "Analysis of
acoustic emission
signals in machining,"
ASME Transactions
Journal of Manufacturing
Science and Engineering,
Vol. 121, No. 4, pp.
568-573, 1999.
S.T.S. Bukkapatnam,
S.R.T. Kumara and A.
Lakhtakia, "Local
eigenfunctions-based
suboptimal wavelet
packet representation of
contaminated chaotic
signals," IMA Journal of
Applied Mathematics,
Vol. 63, No. 2, pp.
149-160,1999.
S.T.S. Bukkapatnam,
S.R.T. Kumara and A.
Lakhtakia, "Real-time
chatter control in
machining using chaos
theory," CIRP Journal of
Manufacturing Systems,
Vol. 29, No. 4, pp.
321-326, 1999.
S. V. Kamarthi, S.T.S.
Bukkapatnam and S.
Hsieh, "An algorithm for
near-optimal cutter path
generation in stair-case
milling of convex
polygonal surfaces,"
ASME Transactions
Journal of Manufacturing
Science and Engineering,
Vol. 122, pp. 182-189,
2000.
S.T.S. Bukkapatnam,
S.R.T. Kumara and A.
Lakhtakia, "Fractal
estimation of flank wear
in machining,"
ASME Transactions
Journal of Dynamic
Systems Measurement and
Control, Vol. 122, pp.
89-94, 2000.
T. Loh, S. Bukkapatnam,
D. Medeiros, and H.
Kwon, "A new GA for
simultaneous sequence
and layout planning for
PCB assemblies,"
Computers and Industrial
Engineering, Vol. 40,
pp. 293-307, 2001.
R. Palanna and S.T.S.
Bukkapatnam, "Concept of
model-based tampering
for improved process
performance,"
International Journal of
Machining Sciences and
Technology, Vol. 6, No.
2, pp. 271-290, 2002.
H. Kwon, S.T.S.
Bukkapatnam, B.
Khoshnevis, and J.
Saito. "Effect of
orifice geometry on
surface quality in
contour crafting," Rapid
Prototyping Journal,
Vol. 8, No. 3, pp.
147-160, 2002.
S.T.S. Bukkapatnam,
S.R.T. Kumara, A.
Lakhtakia, and P.
Srinivasan,
"Neighborhood method and
its coupling with the
wavelet method for
nonlinear signal
separation of
contaminated chaotic
time-series data,"
Signal Processing, Vol.
82, No. 10, pp.
1351-1374, 2002.
J. Zhao, S.T.S.
Bukkapatnam, M.M.
Dessouky, “Distributed
architecture for
real-time coordination
of bus holding in
transit networks,” IEEE
Transactions on
Intelligent
Transportation Systems,
Vol. 4, No. 1, pp.
43-51, 2003.
R. Palanna, S.T.S.
Bukkapatnam, F.S.
Settles, “Model-based
tampering for improved
process performance:
Application to grinding
of shafts,” SME Journal
of Manufacturing
Processes, Vol. 5, No.
1, pp. 24-32, 2003.
S.T.S. Bukkapatnam and
R. Palanna,
"Experimental
characterization of
nonlinear dynamics
underlying cylindrical
grinding process," ASME
Transactions Journal of
Manufacturing Science
and Engineering, 2004.
P. Ge, S. C-Y. Lu, and
S.T.S. Bukkapatnam, “A
direct synthesis method
for early-stage
parametric design of
large-scale mechanical
systems,” ASME
Transactions Journal of
Mechanical Design, 2004
(to appear).
D. Chang and S.T.S.
Bukkapatnam,
“Microdynamics of
acoustic emission
generation in
machining,”
International Journal of
Machining Sciences and
Technology, Vol. 8, No.
2, pp. 1-27, 2004.
S.T.S. Bukkapatnam, J.
M. Nichols, M. Seaver,
S. T. Trickey and M.
Hunter, “A
wavelet-based,
distortion energy
approach to structural
health monitoring,”
Structural Health
Monitoring Journal, 2003
(subject to some
modifications).
Awards, Honors and
Professional Society
Memberships
Faculty Fellowship:
From Zumberge Foundation
(1998-99), SC2
Foundation (1999), and
Powell Foundation
(2001-03), University of
Southern California
Best Paper Award
(First runner-up): Novel
Applications, Artificial
Neural Networks in
Engineering
Conference 94, St.
Louis, November 1994.
(placed 2nd out of 156
papers)
Teacher of the Year:
Alpha Pi Mu-Omega Rho
Teacher of the Year
Award for 2001, Daniel
J. Epstein
Industrial and Systems
Engineering Department,
University of Southern
California
First Rank: Stood
first (out of 1119
candidates) in the
Production and
Industrial Engineering
stream of GATE
(Selection exams for
graduate studies in
India), 1992
Member: IIE, SME and
INFORMS
Please visit the Sensor
Networks and Complex
Systems Research Lab
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