### Alejandro Aceves

aaceves@smu.edu | Website | Faculty Site

**Professor**

Ph.D., University of Arizona 1988

Professor Aceves' research focuses on the mathematical modeling of phenomena in nonlinear optics. By using techniques from perturbation theory and asymptotics together with numerical simulations, this research studies the pulse dynamics in nonlinear optical media. Most recent work includes light localization in optical fiber arrays, trapping of light in waveguide gratings and ultraviolet light filament formation in the atmosphere.

Besides working with his current Ph.D. students, other collaborations
include scientists at the Air Force Research Laboratory, the Department
of Physics and Astronomy at the University of New Mexico and with the
Electromagnetism and Photonics group at the Universita di Brescia in
Italy. Recent work has appeared in *Physica D, Studies in Applied Mathematics, Physical Review A,* and *Optics Communications.* For
the past five years, he has been an affiliate of the Mathematical
Modeling and Analysis group (T7) of the Theoretical Division at the Los
Alamos National Laboratory.

### Vladimir Ajaev

ajaev@smu.edu | Website | Faculty Site

**Professor**

Ph.D., Northwestern, 1999

Professor Ajaev's research involves applications of asymptotic and perturbation as well as numerical methods for partial differential equations to various problems in fluid mechanics and crystal growth. Of particular interest are simulations of moving interfaces in systems with phase transitions by means of finite-difference and boundary-integral methods.

He collaborates with scientists at the University of Aix-Marseille,
France, the Technical University of Darmstadt, Germany, and the Institute of
Thermophysics in Novosibirsk, Russia. His
published work has appeared in *Annual Review of Fluid Mechanics,
Journal of Fluid Mechanics, Physics of Fluids, Physical Review E,
Journal of Computational Physics, Numerical Heat Transfer, Proceedings
of the Royal Society* *A*, *Journal of Crystal Growth,* and *Journal of Colloid and Interface Science*.

### Andrea Barreiro

abarreiro@smu.edu | Website | Faculty Site

**Associate Professor**

Ph.D., New York University, 2006

Professor Barreiro's research is in mathematical modeling, analysis and simulation of neural networks. She is particularly interested in how network architecture and dynamics combine to produce correlated activity (or synchrony) in neural "microcircuits", and in the resulting consequences for computation. Such microcircuits form the building blocks of biological neural circuits, and thus the operation of the nervous system. The ultimate goal of this work is to give insight into the fundamental architecture of how the brain works, and it has the potential to address models of diseases that manifest as excessive synchrony, such as Parkinson's disease. Some of the tools she uses for this work are dynamical systems, probability and stochastic processes, information theory, perturbation methods and numerical simulations. She also works on models of neural integrators, which allow the brain to store evidence and memories, on numerical methods for neural population dynamics, and on analytical and computational modeling in geophysical fluid dynamics.

Professor Barreiro collaborates with both mathematicians and
experimental neuroscientists at the University of Washington and other
institutions. Her work has appeared in journals such as *Physical Review E, Journal of Computational Neuroscience, *and *the Proceedings of the Royal Society of London A. *

### Wei Cai

**Clements Chair Professor**

Ph.D., Brown University, 1989

Prof. Cai’s research interest focuses on developing advanced fast machine learning, stochastic, and deterministic numerical methods to understand complex physical phenomena with a special focus on quantum phenomena, electromagnetic processes, and wave scattering in random media. He has published over 130 refereed articles in top international journals such as *SIAM J. on Numerical Analysis*, *SIAM J. on Scientific computing*, *Computer Physics Communications*, *Journal of Computational Physics*, *IEEE transactions on MTT*, among others, and is the author of the book "Computational Methods for Electromagnetic Phenomena: electrostatics in solvation, scattering, and electron transport" published by Cambridge University Press, 2013. He serves on the editorial boards for *Communications in Computational Physics*, *Journal of Computational Mathematics*, and *Communications in Mathematics & Statistics*. His research has been funded by the National Science foundation, Department of Energy, US Army Research Office, the National Institute of Health, and US Air Force Office of Scientific Research.

### Thomas Carr

tcarr@smu.edu | Website | Faculty Site

**Associate Professor**

Ph.D., Northwestern, 1993

Professor Carr's research focuses on the dynamics of physical systems modeled by nonlinear ordinary and partial differential equations. He uses local and global bifurcation theory, asymptotic analysis, and numerical simulation and continuation to study the system's behavior and parameter sensitivities. Of particular interest is the synchronization characteristics of coupled oscillators.

Areas of application include laser instabilities, coupled electronic circuits, and mathematical biology.

He collaborates with scientists at the U.S. Naval Research Laboratory and the Free University of Brussels, Belgium. His research has appeared in *Physical Review A, Physical Review E, Physical Letters A, Chaos, Physica D, *and *SIAM Journal of Applied Mathematics.*

### Weihua Geng

**Associate Professor**

Ph.D., Michigan State University, 2008

Professor Geng's research focuses on modeling problems in structural and systems biology using differential equations and integral equations, and solving these problems numerically with fast algorithms and high performance computing. Particularly, Professor Geng is interested in numerically solving interface problems described by PDEs and integral equations. These problems appear when adjacent layers with different physical, chemical, and biological properties are present. As far as the numerical algorithms are concerned, Professor Geng is interested in 1) matched interface and boundary (MIB) methods (high order, finite difference mesh-based algorithms used in solving elliptic PDEs with discontinuities and singularities); and 2) boundary integral methods combined with treecode (a fast algorithm for evaluating interactions of N-body problems) to achieve high accuracy and efficiency. Recently Professor Geng has been working on the extension of these numerical algorithms to electrodynamics and fluid mechanics for the structural biology study at the molecular level.

Professor Geng collaborates with mathematicians, computer scientists, and biologists at the Michigan State University, University of Michigan, University of Alabama, Pacific Northwest National Laboratory, and other institutions. His work has appeared in journals such as *Journal of Computational Physics, Journal of Computational Chemistry, Computer Physics Communications, * and *Journal of Chemical Physics. *

### Thomas Hagstrom

thagstrom@smu.edu | Website | Faculty Site

**Professor**

Ph.D., California Institute of Technology, 1983

Prof. Hagstrom's research is focused on computational methods for
simulating time-domain wave propagation phenomena. Current projects
include:

- The development and analysis of radiation boundary conditions and fast
propagation algorithms for scattering problems utilizing novel plane
wave representations of the wave field,

- Adaptive, high-order Hermite discretization methods on structured, composite or embedded grids,

- High-order/high-resolution discontinuous Galerkin discretizations on
unstructured grids utilizing polynomial and nonpolynomial bases,

- Efficient time-stepping for equations with stiff components and on adapted grids.

Applications include electromagnetic and acoustic scattering, the generation of sound by unsteady and turbulent flows, gas-phase combustion, and the multiscale coupling of kinetic models, such as the Boltzmann equation, with continuum models such as the Navier-Stokes-Fourier system.

This research has been supported by the National Science Foundation,
the Air Force Office of Scientific Research, the Army Research Office,
and NASA. Recent publications have appeared in the *SIAM Journals on Numerical Analysis, Applied Mathematics,*and *Scientific
Computing, the Journal of Computational Physics, Communications in
Applied Mathematics and Computational Science, the Journal of
Computational Mathematics, and Communications in Partial Differential
Equations. *

### Barry Lee

**Associate Professor**

Ph.D., University of Colorado at Boulder, 1996

Professor Lee’s research focuses on the mathematical modeling, numerical algorithmic development, and scientific computing of large-scale industrial and laboratory applications. His current research interests include efficient methods for the Boltzmann transport equation (neutron/photon transport), Maxwell equations (fusion), equations of elasticity (structural designs), general coupled systems of elliptic partial differential equations (uncertainty quantification), and large systems of algebraic-differential equations (electric power grid networks). Central to his research is the development of schemes that give optimal computational efficiency on serial and large-scale parallel computer platforms. Thus, an essential component of his research is computational linear algebra, particularly scalable multigrid and multilevel methods.

His current collaborations include mathematicians and physicists at the Lawrence Livermore, Pacific Northwest, and Argonne National Laboratories. His research has appeared in SIAM J. Scientific Computing, SIAM J. Numerical Analysis, Numerical Linear Algebra with Applications, Mathematics of Computation, and Electronic Transactions of Numerical Analysis. For the past 15 years, he has been affiliated with several Department of Energy national laboratories.

### Peter Moore

**Associate Provost**

Ph.D., Rensselaer Polytechnic University, 1988

The primary focus of Professor Moore's research has been on developing adaptive finite element methods for solving reaction-diffusion systems in one, two, and three space dimensions. Reaction-diffusion systems appear in a variety of applications. These include models in cardiac electrophysiology such as Fitzhugh-Nagumo, Ebihara-Johnston and Luo-Rudy I, combustion, catalytic surface reactions, and pattern formation. Adaptive methods have proved effective in solving such systems increasing the reliability, robustness and efficiency of standard methods. Professor Moore was a faculty member of Tulane University for eleven years before arriving at SMU. His published work has appeared in *SIAM Journal on Numerical Anaylsis, SIAM Journal of Scientific Computation, Journal of Computational Physics, BIT, Physica D, Applied Numerical Mathematics, Mathematical Biosciences *and the *Journal of Cardiovascular Electrophysiology.*

### Scott Norris, Ph.D.

snorris@smu.edu | Website | Faculty Site

**Associate Professor**

Northwestern, 2006

Professor Norris's research focuses on multi-scale continuum descriptions of problems at small scales in materials science, with an emphasis on thin films dominated by interfacial phenomena. This involves a variety of mathematical techniques, including continuum modeling, asymptotic and perturbation methods, linear and nonlinear stability analysis, various kinds of numerical simulation, and the extraction of meaningful statistics from large data sets. Recent specific topics of interest include the coarsening of faceted crystal films, spontaneous nanoscale pattern formation on ion-irradiated semiconductors, and the growth of nanostructured solids by means of phase separation during deposition.

Professor Norris collaborates with scientists at Harvard University, the University of Helsinki (Finland), the University of Glasgow (Scotland), the Helmholtz Center of Dresden-Rossendorf (Germany), the Ecole Polytechnique (France), and the University of Kentucky. His publications have appeared in *Nature Communications, Physical Review Letters, Physical Review B and E, Journal of Applied Physics, Journal of Computational Physics, Acta Materialia, Journal of Crystal Growth, * and * Nuclear Instruments and Methods in Physics Research B.*

### Daniel Reynolds

reynolds@smu.edu | Website | Faculty Site

** Professor**

Ph.D., Rice University, 2003

Professor Reynolds' research focuses on numerical methods of relevance to large scale scientific computing applications involving the nonlinear interaction of multiple physical processes, typically modeled using systems of partial differential equations (PDE). Such work aims to allow mathematical insight and innovation to impact the physical, biological and engineering sciences through the incorporation of increased realism into mathematical modeling systems, the development of increasingly robust and accurate numerical methods for solving these mathematical models, and the invention of computational algorithms to implement these numerical methods on increasingly large-scale computational hardware.

Specifically, Professor Reynolds investigates three fundamental applied mathematics issues: accurate modeling of physical systems involving disparate time and space scales, the development and use of highly-accurate and efficient time evolution algorithms for stiff multi-rate problems, and the investigation of discretization and solution methods that retain constraint-preserving properties of PDE models. To this end, Professor Reynolds relies on his expertise in large scale parallel computation as well as a broad range of numerical analysis techniques, including space-time discretization approaches for PDE systems and iterative solution approaches for nonlinear and linear systems of equations.

Professor Reynolds collaborates with scientists at the University of
California San Diego, Columbia University, SUNY Stony Brook, Lawrence
Livermore National Laboratory, Princeton Plasma Physics Laboratory, the
University of Neuchatel (Switzerland), and others. His published work
has appeared in *SIAM Journal of Scientific Computing, Journal of
Computational Physics, Computational Methods in Applied Mechanics and
Engineering, Continuum Mechanics and Thermodynamics, Systems and Control
Letters, Future Generation Computer Systems, Lecture Notes in Computer
Science, ACM Transactions on Mathematical Software, Journal of Physics:
Conference Series, Proceedings of SPIE,* and *Proceedings of ENUMATH.*

### Benno Rumpf

**Associate Professor**

Ph.D., TU Darmstadt, Germany, 1998

Professor Rumpf's research covers topics in applied mathematics and in theoretical physics with an emphasis on statistical methods and on nonlinear dynamics. Focus of his scientific work has been the dynamics of spatially extended systems with applications in solid state physics, fluid mechanics, nonlinear optics, plasma physics and nanosystems. His special interest is the spontaneous formation of regular coherent structures from a turbulent or thermally disordered background.

Professor Rumpf collaborates with scientists from TU Chemnitz
(Germany), Rensselaer Polytechnic Institute and the University of
Arizona. His recent research has appeared in *Physical Review Letters, Physical Review E, Europhysics Letters, Annual Reviews of Fluid Mechanics* and *Physica D,* and he has edited a monograph on nonlinear dynamics of nanosystems.

### Brandilyn Stigler

bstigler@smu.edu | Website | Faculty Site

**Associate Professor**

Ph.D., Virginia Tech University, 2005

Professor Stigler's research focuses on the development of a mathematical framework for the reverse engineering of gene networks, using computational algebra as a primary source of tools. The main tool is that of Groebner bases of polynomial ideals. The models used in this work are time- and state-discrete finite dynamical systems, described by polynomial functions over a finite field. She and collaborators have developed an algorithm for reverse engineering gene networks from experimental time series data, including concentrations of mRNAs, proteins, and/or metabolite. She has applied this method to an oxidative stress response network in yeast and developmental networks in C. elegans and the fruit fly.

She has been actively involved with the DREAM (Dialogue for Reverse
Engineering Assessments and Methods) Initiative and SACNAS (Society for
Advancement of Chicanos and Native Americans in Science). One of her
main collaborations is with the Applied Discrete Mathematics Group at
the Virginia Bioinformatics Institute. Her work has been listed as one
of the top 25 Hottest Articles in *Journal of Theoretical Biology.*

### Johannes Tausch

tausch@smu.edu | Website | Faculty Site

**Professor **

Ph.D., Colorado State University, 1995

Professor Tausch's research focuses on the numerical analysis of integral and partial differential equations. He has developed efficient numerical algorithms to solve problems that arise in Electromagnetics, Optics and Fluid Mechanics. He currently uses integral equation methods to solve high-dimensional parabolic equations that arise, for instance, in free surface or shape identification problems.

He has collaborated with engineers to simulate the behavior of integrated circuits, micro-mechanical devices and photonic waveguides. His software has been used in industry to help the design of semiconductor lasers with optical gratings.

His work has appeared in Mathematics as well as Engineering publications, such as, *SIAM
Journal of Scientific Computing, Mathematics of Computation, Computing,
Journal of Numerical Mathematics, Journal of Computational Physics,
Computational Mechanics, Journal of the Optical Society of America A,
IEEE Transactions on Microwave Theory and Technology, IEEE Transactions
on Computer-Aided Design and Inverse Problems.*

### Sheng Xu

sxu@smu.edu | Website | Faculty Site

**Associate Professor**

Ph.D., Cornell University, 2002

Professor Xu's research interests center on the development of computational techniques for problems in fluid mechanics and aerodynamics, including biological flows with tissues or membranes, supersonic and hypersonic turbulence with shockwaves, flow control by passive means, and fluid dynamics of nature's flyers and swimmers. The present development focuses on the immersed interface method, which models solids in a fluid with singular forces and solves the fluid flow subject to the singular forces by incorporating jump conditions into numerical schemes. The method is currently used to study the wing pitch reversal and fore-hind wing interaction in dragonfly flight.

Prior to joining the faculty at SMU, Professor Xu worked for GE
Energy on steam turbine aerodynamics. He also worked at Cornell
University and Princeton University as a post-doctoral research
associate. His published work has appeared in *Journal of Computational Physics, SIAM Journal on Scientific Computing, Physics of Fluids, *and *Journal of Fluid Mechanics.*

### Mikhail Zaslavsky

**Assistant Professor**

Ph.D., Lomonosov Moscow State University, 2004

Professor Zaslavsky's scientific interests mostly lie in the fields of model reduction, linear algebra, approximation theory, multi-scale methods, homogenization with application to solution of forward and inverse PDE problems. While most of the numerical approaches he's developed were primarily targeted to geophysical exploration, he is constantly looking for other areas of applications. In particular, dueto much in common in the nature of measurements, he has started exploring applications in radar imaging, medical imaging as well propellant tank imaging for NASA applications. Also, he is currently investigating the natural extension of his developments to the area of data science and unsupervised machine learning. A wide range of applications here includes bioinformatics, geophysics, social network studies, financial mathematics, etc.

Prof. Zaslavsky strongly believes that a good sign of novel theoretical development is that it was originally driven by application in mind. And, vice versa, it is unlikely to get a breakthrough in applications without new solid theory. Hence, he constantly tries to keep tight connections with his current collaborators from both academia and industry as well as to explore new areas and ideas for research.

### Yunkai Zhou

yzhou@smu.edu | Website | Faculty Site

**Associate Professor**

Ph.D., Rice University, 2002

Professor Zhou's research focuses on numerical linear algebra, scientific computing, and their broad range of applications; especially applications in material sciences and electrical engineering. He has developed algorithms that greatly improve the efficiency in solving large-scale eigenvalue problems arisen in density functional theory (DFT) calculations.

His current research includes extending the polynomial filtered subspace methods for generalized eigenvalue problems; improving/developing more efficient mixing-schemes for self-consistent field calculations; and extending the subspace techniques that have been successful for time-independent DFT to time-dependent DFT calculations.

His publications have appeared in *Numerical Linear Algebra and Its
Application, Physical Review Letters, Journal of Computational Physics,
System and Control Letters, Journal of Applied Mathematics,* and *Computer Physics Communications.*