Jiwon Shin: Image-Based Tensor Visualization

, a rising senior engineering and computer science double major at Swarthmore College, participated in Summer Undergraduate Research Fellowship - Information Technology (SURF-IT), supported by National Science Foundation (NSF), at University of California, Santa Cruz. She worked at Advanced Visualization and Interactive Systems (AVIS) Laboratory under Xiaoqiang Zheng and Dr. Alex Pang. They developed an image based tensor visualization algorithm, which realizes two-dimensional real symmetric tensor fields. A second order twodimensional tensor is a two by two matrix with four unique quantities, or three for a symmetric real tensor. The algorithm they developed generates an animation of the input tensor field, making it easy to visualize both static and non-static tensor data. Tensor visualization is useful in many medical and mechanical applications, and they are specifically interested in using this algorithm to visualize brain fibers using Diffusion Tensor Magnetic Resonance Imaging (DTMRI) data.

Shin is completing her undergraduate degree at Swarthmore and is applying to graduate schools in computer science. She plans to continue her education and research in the field of computer graphics and visualization.