Chand T. John, M.S.
- Graduate Student
- Clark Center, Room S324
I developed the residual reduction algorithm (RRA) that has enabled the generation of long-duration muscle-driven simulations of gait. I generated a simulation of ten gait cycles of walking. I analyze simulations to study how muscles control body movements and how muscles help stabilize walking.
M.S. in Computer Science, Stanford University, 2007
B.S. in Computer Science at UT-Austin, 2003
B.S. in Mathematics at UT-Austin, 2003
Honors and Awards
Achievement Rewards for College Scientists Fellowship, 2008-2009
AAAS/Science Program for Excellence in Science, 2006-2008
NIGMS Predoctoral Fellowship in Biocomputation, 2005-2008
Stanford School of Engineering Fellowship, 2003-2004
Dean's Honored Graduate in Computer Science at UT-Austin, 2003
Computing Research Association Undergraduate Award Finalist, 2003
John CT. Visualization by Subdivision: Two Applications for Future Graphics Platforms. In John E and Rubio J (eds.), Unique Chips and Systems, ch. 9, pp. 239-258, CRC Press, 2008.
John CT, Anderson FC, Guendelman E, Higginson JS, Delp SL. Long-Duration Muscle-Actuated Simulations of Walking at Multiple Speeds. American Society of Biomechanics conference, Stanford, California, USA, August 22-25, 2007.
John CT. All Bezier Curves Are Attractors of Iterated Function Systems. New York Journal of Mathematics 13(7): 107-115, 2007.
Tennis, hiking, playing keyboard, thinking unconventionally