Matthew Cong

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


I am currently a fifth-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.


Automatic Generation of Anatomical Face Simulation Models
Matthew Cong, Michael Bao, Jane E, Kiran Bhat, and Ronald Fedkiw
ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA), edited by F. Bertails-Descoubes and S. Coros, pp. 175-183 (2015).

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

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

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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)

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