Yerlan Amanbek

Yerlan Amanbek

Ph.D. Candidate:
Computational Science, Engineering and Mathematics

Thesis topic:
Adaptive multiscale method in modeling subsurface flow & transport using the Enhanced Velocity Mixed FEM & Numerical Homogenization

Advisor:
Professor Mary Wheeler

Prior degrees:
M.Sc., 2015, CSEM, University of Texas at Austin
M.Sc., 2009, IT, Nanyang Technological University(NTU), Singapore
B.Sc., 2006, Applied Math & Computer Science, KazNU, Kazakhstan

Research Interests:
domain decomposition, discretization schemes, multiscale methods, a posteriori and a priorri error analysis, robust and efficient solution algorithms.

For more information visit Yerlan's website.

Contact

Email: [264, 112, 267, 125, 198, 141, 161, 124, 242, 112, 268, 63, 218, 147, 198, 139, 240, 126, 199, 118, 201, 148]
Phone: n/a
Office: POB 5.304L