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.
Aug. 04, 2020
ISWC 2020 Paper on "Field Study of a Tactile Device" Accepted!
CSCW2020 Paper on "Urban Accessibility as a Socio-Political Problem" Accepted!
July 29, 2020
Liang He Accepted into UIST2020 Doctoral Symposium