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: [218, 132, 257, 125, 116, 263, 75, 206, 196, 132, 258, 63, 136, 269, 112, 221, 194, 146, 189, 118, 119, 270]
Phone: n/a
Office: POB 5.304L