ACM Ph.D. students may be advised by any faculty member of the Department of Mathematics. It is also possible to have an advisor that is a facutly member in another department. In this case, it is required to have a faculty member of the Department of Mathematics as a co-advisor to chair the examination committees. This co-advisor may be an active participant in the student's dissertation research or may simply be an administrative monitor. Contact the ACM Director for details.

Faculty members with research activity that may be of interest to ACM Ph.D. students are listed below. Faculty members mainly responsible for the design and teaching of the ACM curriculum are marked with ✱.

**Program Director:** Ziad Musslimani

**Mathematics Faculty:**

Feng Bao ✱
stochastic differential equations, stochastic optimization, data assimilation

Martin Bauer ✱
infinite dimensional Riemannian geometry, shape analysis, manifolds of mappings,
geometric mechanics, medical imaging

Nick Cogan
biofilm dynamics, bacterial kinetics, fluid/structure interactions, boundary integral methods

Arash Fahim
probability, partial differential equations, stochastic control, financial mathematics

Aseel Farhat ✱
partial differential equations, Navier-Stokes equations, uncertainty, data assimilation

Kyle A. Gallivan
✱
computational mathematics, numerical and non-numerical algorithms, shape and signal analysis, optimization, high-performance computing and software

M. Yousuff Hussaini
✱
computational fluid dynamics, computational geosciences, nanofluid mechanics, optimization, data/image assimilation,
uncertainty quantification, evidence theory

Alec Kercheval
financial mathematics, dynamical systems, stochastic analysis, portfolio and credit risk, high frequency trading, machine learning, stochastic processes, mathematical economics.

Sanghyun Lee
✱
numerical analysis, finite element methods, scientific computing

Washington Mio
pattern analysis, biomedical imaging, geometric topology

Ziad Musslimani
✱
partial differential equations, nonlinear waves in dispersive media

Giray Ökten
computational finance, Monte Carlo and quasi-Monte Carlo methods

Wojciech Ożański
✱
Analysis, partial differential equations, harmonic analysis, functional analysis, mathematical theory of fluid mechanics, instabilities of incompressible flows.

Mark Sussman
✱
numerical analysis, fluid dynamics, deforming boundary problems, partial differential equation

Christopher Tam
✱
numerical analysis, applied mathematics, acoustics, fluid dynamics, partial differential equations

Lingjiong Zhu
probability, financial mathematics

**Faculty from other departments that have supervised ACM Ph.D. students:**

Adrian Barbu Department of Statistics, machine learning, medical imaging, computer vision

Gordon Erelebacher Department of Scientific Computing, computational mathematics, modeling and simulation of biological networks, machine learning, application of gaming and artificial intelligence

Anuj Srivastava Department of Statistics, shape and surface analysis, functional data analysis, applications of computational statistics

Tomasz Plewa Department of Scientific Computing, computational astrophysics