Qi Wang



Education
Ph.D.  Mathematics  The Ohio State University  1991 
M.S.  Mathematics  The Ohio State University  1988 
B.S.  Mathematics  Nankai University, Tianjin, China  1982 
Experience
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 UniversityPurdue University, 
1991 – 1997  Assistant Professor  Department of Mathematical Sciences, Indiana UniversityPurdue University, Indianapolis 
Research
Research Interests
 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
Current Projects
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 intermolecular interaction, the materials may exhibit fascinating mesoscopic structures in equilibrium and transient which lead to extraordinary material properties. We are concerned with developing stateoftheart mathematical and computer models, analysis, as well as cuttingedge 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 polymerliquid crystalline polymer blends and polymerclay 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 (bentcore molecules), especially, the flow properties in shear and driven by external fields.
 Multiscale modeling and computation of biofluids and biomaterials. Simulation of actin dynamics and selfassembly through highperformance 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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Teaching Activities
Current Courses
 Math 728A  Selected Topics in Applied Mathematics (Model Biol Sys I)
Previous Courses
 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), 91209136,
 T. Y. Zhang, N. Cogan, and Q. Wang, "Phase Field Models for Biofilms. I. Theory and 1D simulations," Siam Journal on Applied Math, 69 (3) (2008), 641669.
 T. Y. Zhang, N. Cogan, and Q. Wang, "Phase Field Models for Biofilms. II. 2D Numerical Simulations of BiofilmFlow Interaction," Communications in Computational Physics, 4 (2008), 72101.
 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 111118.
 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
IMI Preprints
 Development and Experimental Validation of a Model for Oral Multispecies Biofilm Recovery after Chlorhexidine Treatment (2016)
 3D 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)
 MassConserved Phase Field Models for Binary Fluids (2011)
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