Saad Hassan wearing a maroon shirt and black and golden glasses.

I study and design human–AI systems that make communication, information, and public services accessible.

Examples include sign language and captioning technologies, reading supports, accessible visualizations, and civic dashboards. This work centers the experiences of end users, including people with disabilities and their communities.

Interested in a PhD or undergraduate research? Fill out the form and I'll be in touch if there's an opening. Fall 2027 Tulane CS PhD applications are open, with no application fee.

News

Earlier news
  • 🏅 Our review of reading support tools, with Oliver Alonzo, was accepted to ASSETS 2025 and nominated for Best Paper.

  • 📃 FSboard, an ASL fingerspelling dataset built with Google Research and DPAN, accepted to CVPR 2025.

Publications

Venue

2025

2023

NeurIPS 2023 · Datasets and Benchmarks
PopSign ASL v1.0: An Isolated American Sign Language Dataset Collected via Smartphones
Thad Starner, Sean Forbes, Matthew So, David R. Martin, Rohit Sridhar, Gururaj Deshpande, Sam Sepah, Sahir Shahryar, Khushi Bhardwaj, Tyler Kwok, Daksh Sehgal, Saad Hassan, Bill Neubauer, Sofia Vempala, Alec Tan, Jocelyn Heath, Unnathi Kumar, Priyanka Mosur, Tavenner Hall, Rajandeep Singh, Christopher Cui, Glenn Cameron, Sohier Dane, Garrett Tanzer

2022

* Equal contribution