Jacob Bedrossian

Associate Professor
Department of Mathematics
Center for Scientific Computation and Mathematical Modeling
University of Maryland, College Park

Applied Mathematics, Statistics, and Scientific Computation (AMSC) program
Burgers Program for Fluid Dynamics

office: 4129 CSIC and 4413 MATH
mail: Jacob Bedrossian
The University of Maryland
CSCAMM
4146 CSIC Building #406
Paint Branch Drive
College Park MD 20742-3289, USA

email: jacob-at-cscamm-dot-umd-dot-edu or jacob-at-math-dot-umd-dot-edu
  My GnuPG public key id is: 69441DCC, which is available on public keyservers
  Consider using public key encryption as a standard tool for secure communication.


Research interests

My research is focused on the mathematical analysis of PDEs arising in fluid mechanics and plasma physics. Recently, most of my work has focused on understanding mixing and nonlinear stability in fluid mechanics at high Reynolds number and Landau damping-related effects in kinetic theory in the collisionless limit with a specific interest to problems relevant to plasma physics.

My research is currently funded by an NSF CAREER grant and a Sloan Fellowship.

Preprints

Publications

Expository materials

Seminars and current topics courses

Teaching

I am now part of the Applied Mathematics, Statistics and Scientific Computation (AMSC) program!
If you are a graduate or undergraduate student interested in finding an REU project or PhD adviser, feel free to contact me and perhaps we can find something. I am open to advising students interested in the analysis of PDE as well as students who may also interested in doing some computation. Likely topics will be focused in some aspect of fluid mechanics or kinetic theory, tailored by the student interests, my interests, and our mutual expertises

Summer MAPS-REU 2016

As part of the MAPS REU in the mathematics department, I am advising 5 students on projects related to mixing and dissipation in fluid mechanics. The students are working on a variety of analysis and computational PDE projects. The talented students are: We would like to acknowledge the University of Maryland supercomputing resources (http://www.it.umd.edu/hpcc) made available for conducting the research. We are specifically using resources available on the Deepthought2 cluster. I would also like to acknowledge the Sloan foundation for providing some funding related to the research.

Previous positions

  • NSF postdoctoral fellow and Cathleen Morawetz postdoctoral fellow at the Courant Institute of Mathematical Sciences at New York University, 2011-2014.

    Education

  • Ph.D. UCLA 2011, jointly advised by Prof. Andrea Bertozzi and Prof. Joseph Teran.
  • M.S./B.S Case Western Reserve University 2007, M.S. advised by Prof. Christophe Geuzaine.