|Ph.D.||Mathematics||The Ohio State University||1991|
|M.S.||Mathematics||The Ohio State University||1988|
|B.S.||Mathematics||Nankai University, Tianjin, China||1982|
|2013 – Present||College of Arts and Sciences Distinguished Professor||Department of Mathematics, Univ. of South Carolina|
|2008 – Present||Thrust Leader||Theory, Modeling and Simulation, NanoCenter, Univ. of South Carolina|
|2008 – 2013||Professor||Department of Mathematics, Univ. of South Carolina|
|2004 – 2007||Director||Applied and Computational Mathematics Program, Florida State University|
|2003 – 2009||Professor||Department of Mathematics, Florida State University|
|2001 – 2003||Associate Professor||Department of Mathematics, Florida State University|
|1999||Visiting Associate Professor||Department of Mathematics, Univ. of North Carolina at Chapel Hill|
|1997 – 2001||Associate Professor||Department of Mathematical Sciences, Indiana University-Purdue University,|
|1991 – 1997||Assistant Professor||Department of Mathematical Sciences, Indiana University-Purdue University, Indianapolis|
- Applied and Computational Mathematics
- Computational Fluid Dynamics and Rheology of Complex Fluids
- Continuum Mechanics and Kinetic Theory
- Multiscale Modeling and Computation of Soft Matter and Complex Fluids of Anisotropic Microstructures
- Modeling and Computation of Complex Biological Fluids/Materials and Cellular Dynamics
- Parallel and High Performance Computing in Heterogeneous Cyberinfrastructure
My research lab - Computational Nanoscience and Mathematical Modeling - is located in the NanoCenter at USC (SUM 103). Research here is focused on modeling and computation of soft matter and complex fluids with applications in biofluids and biomaterials. Many remarkable manmade materials are produced through processing of complex fluids. Due to their complex molecular compositions, configurations, and intra- as well as inter-molecular interaction, the materials may exhibit fascinating mesoscopic structures in equilibrium and transient which lead to extraordinary material properties. We are concerned with developing state-of-the-art mathematical and computer models, analysis, as well as cutting-edge simulation tools, to study the properties of the soft matter and complex fluids to gain further understanding of this fascinating phenomena. Current projects follow:
- Developing multiscale theories for flows of polymer-liquid crystalline polymer blends and polymer-clay nanocomposites.
- Modeling mesoscale morphology, pattern and texture formation in flows of the complex fluids.
- Simulation of flows of the complex fluids in simple geometries (simple shear and elongation) as well as complex geometries (contraction and free surface flows).
- Studying the biaxial liquid crystals (bent-core molecules), especially, the flow properties in shear and driven by external fields.
- Multiscale modeling and computation of bio-fluids and biomaterials. Simulation of actin dynamics and self-assembly through high-performance computing.
- High performance computing and parallel computing for complex systems.
- Modeling and computation of cell dynamics and cell motility, biofilm flows.
- Wave propagation in liquid crystal materials. Transport phenomena in nanocomposites. Nonlinear optics.
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- Math 728A - Selected Topics in Applied Mathematics (Model Biol Sys I)
- Undergraduate Courses: Algebra, Finite Mathematics, Brief Survey of Calculus I, Algebra & Trigonometry I, II, Calculus for Technology I, II, Integrated Calculus & Analytical Geometry I, II, Calculus I & II, Multivariate Calculus, Linear Algebra & Differential Equations, Ordinary differential equations, Discrete Mathematics, Engineering Mathematics I, II, Elementary Partial Differential Equations I, II
- Graduate Courses: Linear Algebra with Applications, Vector Calculus, Partial Differential Equations I, II, Applied Mathematics Methods I, II, Computational Methods I, II, Computational Methods for Partial Differential Equations I, II, Boundary Value Problems, Qualitative Theory of Ordinary Differential Equations, Mathematical Modeling, Numerical Linear Algebra, Wave propagation (linear and nonlinear waves), Modeling of Complex Fluids
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5 Selected Publications
- Q. Wang, "A hydrodynamic theory of nematic liquid crystalline polymers of different configurations", Journal of Chemical Physics, 116 (2002), 9120-9136,
- T. Y. Zhang, N. Cogan, and Q. Wang, "Phase Field Models for Biofilms. I. Theory and 1-D simulations," Siam Journal on Applied Math, 69 (3) (2008), 641-669.
- T. Y. Zhang, N. Cogan, and Q. Wang, "Phase Field Models for Biofilms. II. 2-D Numerical Simulations of Biofilm-Flow Interaction," Communications in Computational Physics, 4 (2008), 72-101.
- A. Kataoka, B. C. W. Tanner, J. M. Macpherson, X. Xu, Q. Wang, M. Reginier, T. Daniel and P. B. Chase, "Spatially explicit, nanomechanical models of the muscle half sarcomere: Implications for mechanical tuning in atrophy and fatigue," Acta Astronautica, 60 (2) (2007), pp 111-118.
- Q. Wang and X. Yang, David Adalsteinsson, T. Elston, K. Jacobson, Maria Maryna, M. G. Forest, "Computational and Modeling Strategies for Cell Motility," to appear in the book COMPUTATIONAL MOLECULAR CELL MODELING, 2011.
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IMI Preprints and Seminars
- Development and Experimental Validation of a Model for Oral Multispecies Biofilm Recovery after Chlorhexidine Treatment (2016)
- 3-D Numerical Simulations of Biofilm Dynamics with Quorum Sensing in a Flow Cell (2014)
- A 3D Hydrodynamic Model for Heterogeneous Biofilms with Antimicrobial Persistence (2014)
- A 3D Hydrodynamic Model for Cytokinesis of Eukaryotic Cells (2014)
- Modeling Fusion of Cellular Aggregates in Biofabrication Using Phase Field Theories (2011)
- Kinetic Theories for Biofilms (2011)
- Mass-Conserved Phase Field Models for Binary Fluids (2011)
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