PhD Student, CS
University of Washington
Galen is a PhD student who loves applying computer science to real world problems. He works on ICT4D systems and computing for accessibility.
Deep Learning for Automatically Detecting Sidewalk Accessibility Problems Using Streetscape Imagery
Jon E. Froehlich
Proceedings of ASSETS 2019
Acceptance Rate: 25.9%
(41 / 158)
Best Paper Award
• Project Sidewalk
• Deep Learning for Sidewalk Assessment
Oct. 29, 2019 | ASSETS'19
| Deep Learning for Sidewalk Assessment
We design, build, and evaluate interactive tools and techniques to address pressing societal
challenges in accessibility, sustainability, education, and beyond.
March 03, 2020
Liang He Awarded GPSS Travel Grant to Attend CHI!
Feb. 07, 2020
Project Sidewalk Columbus, OH Deployment in the News
Jan. 31, 2020
Makeability Lab Video Game Night!