Matthew Cong

Research and Development Engineer, Industrial Light + Magic
Ph.D. Computer Science, Stanford University
San Francisco, CA
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Biography

I am currently a Research and Development Engineer at Industrial Light + Magic. My primary research interests are computer graphics and scientific computing. I am also interested in robotics and computer vision.

I received my Ph.D. from the Department of Computer Science at Stanford University in 2016. I was advised by Professor Ron Fedkiw. I was fortunate to be supported by a National Defense Science and Engineering Graduate Fellowship during my graduate studies.

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

Art-Directed Muscle Simulation for High-End Facial Animation
Matthew Cong, Kiran Bhat, and Ronald Fedkiw
ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA), edited by L. Kavan and C. Wojtan, pp. 119-127 (2016).

PDF Video

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).

PDF Video

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, Byungmoon Kim, 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