Chand John

Assistant Professor of Instruction
Chand John teaches computer science with a focus on diversity and inclusion using a variety of unusual methods, including drawing comics teaching STEM concepts. He consults in industry as a principal robotics software engineer. His research interests are in physics-based simulation, computer graphics, and robotics. He is also an Inaugural OpenSim Fellow, an award which recognizes a deep expertise in biomechanical modeling and simulation. Dr. John received his Ph.D. and M.S. from Stanford University and his B.S. degrees in computer science and mathematics from the University of Texas at Austin.

Select Publications

C. T. John. 2017, November 16. What Value Could Fractals Add to Biomedical Image Analysis?. Biomedical Computation Review.
C. T. John. 2013. PhorbiDden PhooD: Real Secrets to Mastering the PhD Adventure. CafePress.
C. T. John, A. Seth, M. H. Schwartz, S. L. Delp. 2012. Contributions of muscles to mediolateral ground reaction force over a range of walking speeds. Journal of Biomechanics, vol 45. 2438-2443.
Chand T. John , Frank C. Anderson , Jill S. Higginson & Scott L. Delp. 2012. Stabilisation of walking by intrinsic muscle properties revealed in a three-dimensional muscle-driven simulation. Computer Methods in Biomechanics and Biomedical Engineering. 1-12.
C. A. Chen, W. Lu, C. T. John, B. A. Hargreaves, S. B. Reeder, S. L. Delp, R. A. Siston, G. E. Gold. 2009. Multi-Echo IDEAL-GRE Water-Fat Separation for Rapid Assessment of Cartilage Morphology--Initial Experience. Radiology 252(2). 561-567.

Awards & Honors

2014-2017 - Inaugural OpenSim Fellow
2011 - Stanford Opportunity Job Fair Award
2009 - ASME Summer Bioengineering Conference Semi-Finalist
2008-2009 - ARCS Fellowship
2006-2008 - AAAS/Science Program for Excellence in Science
2005-2008 - NIH/NIGMS Predoctoral Fellowship in Biocomputation
2003-2004 - Stanford School of Engineering Fellowship
2003 - Illinois Distinguished Fellowship offer
2003 - UT-Austin Dean's Honored Graduate in Computer Science
2003 - George H. Mitchell Award for Academic Excellence