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.
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.