Curriculum Vita
EDUCATION:
Ph.D., Applied Mathematics and Computational Science, The
M.C.S., Computer Science, The
M.S., Mathematics,
B.S., Engineering, Wuhan
University of Technology (previou name Wuhan Jiaotong Keji University), Wuhan,
China, 1993
TEACHING EXPERIENCE:
Calculus I: Limits, derivatives, applications of the derivative, antiderivatives and definite integrals.
Calculus II: Applications of the integral, transcendental
functions, techniques of integration, series and sequences of real numbers,
Calculus III: The analytical geometry of two and three dimensions, the differential and integral calculus of functions of two or more variables, and vector differential calculus.
Linear Algebra: Systems of linear equations, algebra of matrices, inverses, determinants, vector spaces with emphasis on Euclidean vector spaces, bases, subspaces, transformations, eigenvalues and eigenvectors.
Applied Engineering Mathematics I: An integrated
course in linear algebra and differential equations. Topics include
differential equations of the first order and degree, linear differential
equations of higher order, systems of differential equations, the
Applied Engineering Mathematics II: Advanced
topics in differential equations and multi-dimensional calculus. Topics include
power series solutions of differential equations, line and surface integrals,
Fourier series, vector integral calculus, special functions, and an
introduction to partial differential equations.
Deterministic Methods of Operations Research: The
theory and applications of deterministic models of operations research. Topics
include linear programming and the simplex algorithm, transportation and
assignment problems, graphs and network flows, dynamic programming, and
sensitivity analysis.
Probabilistic Methods of Operations Research: The theory and applications of probabilistic models of operations research. Topics include game theory, decision analysis, stochastic process, Markov chains, queuing models, birth and death processes, inventory theory, and simulation.
Applied Operations Research: An introduction to the
application of quantitative techniques to the managerial decision-making
process. The major mathematical models associated with operations research are
presented. The course is applications oriented, and the model building process
is emphasized. Excel spread sheet is used to solve most applications in
optimization.
Mathematical Modeling: An introduction to the
theory and practice of building and analyzing mathematical models for real
world situations encountered in the social, biological, and environmental
sciences.
Introduction to probability and statistics: An
introduction to probability and statistical concepts. Topics include frequency
distributions, measures of central tendency and dispersion, probability rules,
probability distributions, sampling distributions, hypothesis testing, analysis
of variance, correlation, and regression.
Elementary Mathematical Modeling: A service course where students
will use graphs, functions, and tables to describe data and use mathematical
models to interpolate and extrapolate.
Applied Calculus I: An introduction to differential and
integral calculus of polynomials, exponential, and logarithmic functions with
an emphasis on applications to business and the life and social sciences.
Finite Mathematics: A service course where students learn mathematics
of finance, counting methods, probability, and statistics.
College Algebra: A service course where students study precalculus and trigonometry.
RESEARCH INTERESTS:
Network design problems in
operations research
Operations research
Discrete math
PUBLICATIONS:
“The p-hub center allocation problem”, joint with A. Campbell and T. Lowe, European Journal of Operational Research, 176, page 819 – 835, 2007.
“Upgrading Arcs to Minimize the Maximum Travel Time in a Network”, joint with A. Campbell and T. Lowe, Networks, page 72 – 80, 2006.
“The Partner Selection Model for
Collaborative Product Commerce System”, joint with Zhiguang
Zhu, The Proceedings of the 2nd International Symposium on
Management, Engineering and Informatics, page 293 – 297, Orlando, Florida,
2006.
“The Capacitated p-Hub Center Multiple Allocation
Problem”. The Proceedings of the 5th Hawaii International Conference on Statistics,
Mathematics and Related Fields, page 1728 – 1737, Honolulu, Hawaii, 2006.
“Upgrading Arc Problem with Budget Constraint”. The Proceedings of
the 43rd ACMSE, page 150 – 152, volume 1,
PRESENTATIONS:
“The Partner
Selection Model for Collaborative Product Commerce System”. The 2nd International Symposium on Management,
Engineering and Informatics,
“The Capacitated p-Hub Center
Multiple Allocation Problem”. The 5th
“Upgrading Arc
Problem with Budget Constraint.” The 43rd
ACMSE (Annual Association for computing machinery Southeast) conference,
“The
GRANTS AND HONORS:
Research Grant:
The Citadel, July, 2007 – June, 2008.
Data Analysis on Homeland Security Workshop: Selected to attend and
obtain travel support,
Presentation Grant: The Citadel, July, 2006.
Developmental
Grant: The Citadel, March, 2006.
Presentation Grant: The Citadel, January, 2006.
Presentation Grant: The Citadel, March, 2005.
New Faculty
Research Grant: The Citadel, October, 2004 – June, 2005.
IMA Summer
Program in Combinatorics and its Applications: Selected to
attend IMA (Institute for Mathematics and its Application),
PROFESSIONAL MEMBERSHIPS:
Institute for Operations Research
and the Management Sciences
American Mathematical Society