Seung-Hwan is a post-doctoral research associate at Princeton University. His research interests lie in computer graphics and computer vision with a particular focus on computational imaging. He has jointly developed optics and algorithms to solve various graphics and vision problems such as depth acquisition, appearance capture, polarization imaging, and hyperspectral imaging. Also, he has designed algorithms for the applications of conventional imaging systems: SLAM, multi-view stereo, and image synthesis. He is a recipient of ACM SIGGRAPH Asia Doctoral Consortium, Microsoft Research Asia Ph.D. Fellowship and best paper/demo awards at ACCV 2014.