Working Experience:
1997-now:
Research Assistant Professor, Hampton University and NASA
Langley Research Center.
Data analysis and satellite retrievals. Key Experience:
Neural network simulations; Processing and analysis of large scientific datasets
in HDF, CDF formats of different platforms; Programing with C++, SQL and
statistical analysis softwares such as SAS, LAPACK and Numerical Recipes.
1995-1997:
Post-Doc research associate, College of William &. Mary.
Stochastic modeling of transport processes and satellite data processing.
Key Experience: Statistical modeling for retrieving natural properties
from observational datasets. Programing in C, FORTRAN, JAVA, Xlibs and
Xmotif on datasets sitting on different platforms. Httpd maintenance and
CGI programing with c, Perl and Java. System administration (Sun).
1989-1994:
Ph.D., Physics, and Post-Doc research associate,
University of Alaska, Fairbanks. Key Experience:
System administration (DEC, SUN and SGI workstations).
Monte Carlo simulations of scattering problems with multi-processors at
the Arctic Supercomputing Center.
Discrete ordinate transfer modeling with absorption databases such as
line-by-line, MODTRAN and LOWTRAN.
1981-1988:
Bachelor and Master, Peking University.
China. Key Experience: Geophysical fluid dynamics and turbulence
modeling. Satellite
data analysis.
Computational Experience:
12 years experience of computer programing,
extensive knowledge of computers.
Several years of system administration (Sun, Dec
and SGI).
Experienced most platforms, including
supercomputers (CRAY, CM), workstations (DEC, HP, SUN, SGI), mainframes
(IBM, VAX), Mac and PCs.
Many years of programing with languages
such as C, Fortran, C++ and shell scripts.
cgi programing experiences such as
Perl and JAVA. httpd maintenance since 1994.
Databases: database experience
using SQL and C++ on DB2 and ORACLE;
Graphics: PVWAVE(IDL), Data-Explorer, AVS, DISSPLA and NCAR graphics.
Mathematical Background:
Selected mathematical classes taken: Mathematical physics,
stochastic differential equations, nonlinear system control,
advanced numerical methods, Monte Carlo modeling, Fuzzy logic and
neural networks.
Good understanding of computer simulation techniques described in
LAPACK, numerical recipes,
mathematical libraries such as IMSL, SAS.
Strong background in modeling and data analysis. Good
publication records in computational physics.
Personal Information:
U.S. citizen. 34 years old.
