UC Davis Math: List of Faculty

List of Faculty in the Graduate Group in Applied Mathematics (GGAM)

GGAM comprises faculty members from departments across the campus, including its home, the Department of Mathematics. Below is a brief description of faculty research, links to personal and departmental web pages plus some "Related Courses" which can serve as a general study guideline for students interested in research with a particular faculty member. Students who want a more complete description of a faculty member's research interests are encouraged to contact them.

Choose a department below or list all faculty
Agricultural and Resource Economics	Anesthesiology and Pain Medicine
Applied Science	Biomedical Engineering
Bodega Marine Laboratory	Center for Computational Science and Engineering
Center for Neuroscience	Chemical Engineering and Materials Science
Civil and Environmental Engineering	Computer Science
Economics	Electrical and Computer Engineering
Environmental Science and Policy	Evolution and Ecology
Geology	Graduate School of Management
Land, Air and Water Resources	Mathematics
Mechanical and Aeronautical Engineering	Neurobiology, Physiology and Behavior
Neurology	Physics
Radiology	Statistics

Center for Computational Science and Engineering

Name	Research/Related Courses
Crutchfield, James	Physics of computation, dynamical systems, statistical mechanics, structural complexity, evolutionary dynamics, machine learning, and distributed robotics. [Related Courses]
D'Souza, Raissa	Network theory, statistical physics, computational science, probability, applied math, cellular automata, and networking protocols.
Delplanque, Jean-Pierre	Computational and theoretical fluid dynamics and transport phenomena. Multiphase flows, inert and reactive; emerging materials processing methodologies; free surface and interfacial flows; microscale transport phenomena and fluidics; bioengineering applications.
Freund, Roland	Numerical linear algebra; iterative solution of large linear systems; dimension reduction of large-scale systems; linear algebra problems in information retrieval; sparse matrix computations; numerical solution of partial differential equations; computational photonics; algorithms for VLSI circuit and device stimulation; numerical problems in control theory; structured matrices; interior-point methods, large-scale optimization problems; semidefinite programming.
Rundle, John B.	Computational science & engineering; complex multiscale systems; driven threshold systems, including earthquakes and neural networks; statistical physics.