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)
| Project Sidewalk
We design, build, and evaluate interactive tools and techniques to address pressing societal
challenges in accessibility, sustainability, education, and beyond.
Aug. 19, 2019
Makeability Lab Summer 2019 Retreat!
Aug. 09, 2019
Manaswi Saha Accepted into ASSETS'19 Doctoral Consortium
Aug. 01, 2019
Project Sidewalk Featured in Seattle Met Magazine