Matthew Cong

Ph.D. Candidate
Stanford Computer Science
210 Gates Hall
353 Serra Mall
Stanford, CA 94305
LinkedIn

Biography

I am currently a third-year Ph.D. candidate in the Department of Computer Science at Stanford University advised by Professor Ron Fedkiw. I am fortunate to be supported by a National Defense Science and Engineering Graduate Fellowship. I am also currently consulting at Industrial Light & Magic.

My primary research interests are computer graphics and scientific computing. I am also interested in robotics and computer vision.

I graduated from Cornell University in May 2011 with a Bachelor of Science in Engineering Physics and Computer Science. During my undergraduate career, I worked with Professor Tomas Arias in the Department of Physics in computational ab initio physics and electrochemistry. I was also a member of the Cornell Personal Robotics group under the supervision of Professor Ashutosh Saxena where I implemented and adapted planning algorithms on a number of robotic arms.

Publications

Codimensional Surface Tension Flow on Simplicial Complexes
Bo Zhu, Ed Quigley, Matthew Cong, Justin Solomon, and Ronald Fedkiw
SIGGRAPH 2014, ACM TOG 33 (2014)

PDF Video

A New Grid Structure for Domain Extension
Bo Zhu, Wenlong Lu, Matthew Cong, and Ronald Fedkiw
SIGGRAPH 2013, ACM TOG 32, 63.1-63.8 (2013)

PDF Video

Simulating Free Surface Flow with Very Large Time Steps
Michael Lentine, Matthew Cong, Saket Patkar, and Ronald Fedkiw
ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA), edited by P. Kry and J. Lee, pp. 107-116 (2012)

PDF Video

Teaching