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

We study and design human-AI systems to improve communication for and with people with disabilities; enhance the accessibility of reading and data visualizations; and advance the reporting and tracking of urban accessibility data. Our work centers the experiences of people with disabilities (e.g., deaf or hard of hearing people), as well as those connected to disability communities (e.g., hearing sign language users and public-sector organizations).

Short Bio. Saad Hassan is an Assistant Professor in the School of Science and Engineering at Tulane University. He directs the NOLA A11y lab and is affiliated with the Tulane Center for Community Engaged AI. His research spans accessible computing, human-computer interaction (HCI), and computational social science, with a focus on AI-driven technologies that support communication, learning, and creative expression for people with disabilities. Saad has published over 25 research articles in premier HCI and accessibility venues, including CHI, ASSETS, TACCESS, and MobileHCI, as well as leading AI venues such as CVPR, NeurIPS, and EMNLP Findings. He has also received three Honorable Mention and Best Paper nominations at CHI and ASSETS. He earned his Ph.D. in Computing and Information Sciences from the Rochester Institute of Technology, where he was advised by Matt Huenerfauth, and was a recipient of the Duolingo Dissertation Award. He currently serves on the program committees for ASSETS and CHI.


News

August 1, 2025

📃 Two submissions to Posters and Demonstration Track for ASSETS 2025 were accepted:
1. Sign language learning tool for emergency medical responders
Led by Chaelin Kim with undergraduates Cameron McLaren, Madhangi Krishnan, and Nikhil Modayur.
2. Automatic reading support tool for people with disabilities
Led by Nazmun Nahar Khanom with undergraduate Aaron Gershkovich and Oliver Alonzo (DePaul University).

June 25, 2025

🎉 Our workshop proposal on participant recruitment in accessible research was accepted! The workshop will be held virtually at ASSETS 2025 during the week of October 20–26, 2025.
Apply to participate here.
Co-organizers: Lloyd May, Khang Dang, Sooyeon Lee, Oliver Alonzo.

June 19, 2025

📃 A submission on review of literature on reading support tools was accepted to the Technical Paper Track of ASSETS 2025.
This work was done in collaboration with Oliver Alonzo (DePaul University).

February 27, 2025

📃 A paper on ASL fingerspelling data collected using mobile phones and a recognition baseline was accepted at CVPR 2025.
This work was done in collaboration with the Sign Language Understanding Group at Google Research and the Deaf Professional Arts Network .

January 16, 2025

📃 A paper on a tactile haptic approach for affective caption was accepted at CHI 2025 .
This work was led by Calua Pataca at RIT CAIR Lab.

Publications

A Customizable AI-Powered Automatic Text Simplification Tool for Supporting In-Situ Text Comprehension
Nazmun Nahar Khanom, Aaron Gershkovich, Oliver Alonzo, Saad Hassan
(Accepted, pre-publication)
Signing for Care: A Demo and Initial Evaluation of an American Sign Language Learning Tool for Emergency Medical Service Providers
Chaelin Kim, Cameron McLaren, Madhangi Krishnan, Nikhil Modayur, Saad Hassan
(Accepted, pre-publication)
Lloyd May, Saad Hassan, Khang Dang, Sooyeon Lee, and Oliver Alonzo.
(Accepted, pre-publication)
A Review of 25 Years of Human-Computer Interaction Research on Reading Support Technologies for People with Disabilities Published in ACM
Oliver Alonzo, Saad Hassan
(Accepted, pre-publication)
Manfred Georg, Garrett Tanzer, Esha Uboweja, Saad Hassan, Maximus Shengelia, Sam Sepah, Sean Forbes, and Thad Starner.
Caluã de Lacerda Pataca, Saad Hassan, Lloyd May, Michelle M Olson, Toni D'aurio, Roshan L Peiris, and Matt Huenerfauth.
Lloyd May, Alex Williams, Saad Hassan, Mark Cartwright, and Sooyeon Lee.
ACM DL ·  BibTeX
LouAnne Boyd, Annuska Zolyomi, Saad Hassan, Seray B Ibrahim, Guande Wu, and Kay Kender.
ACM DL ·  BibTeX
Saad Hassan, Caluã de Lacerda Pataca, Akhter Al Amin, Laleh Nourian, Diego Navarro, Sooyeon Lee, Alexis Gordon, Matthew Watkins, Garreth W. Tigwell, and Matt Huenerfauth.
ACM DL ·  BibTeX
Saad Hassan, Syeda Mah Noor Asad, Motahhare Eslami, Nicholas Mattei, Aron Culotta, and John Zimmerman.
Saad Hassan, Caluã De Lacerda Pataca, Laleh Nourian, Garreth W. Tigwell, Briana Davis, and Will Zhenya Silver Wagman.
Caluã de Lacerda Pataca, Saad Hassan, Nathan Tinker, Roshan Lalintha Peiris, and Matt Huenerfauth.
Saad Hassan, Abraham Glasser, Max Shengelia, Thad Starner, Sean Forbes, Nathan Qualls, and Sam S. Sepah.
ACM DL ·  BibTeX
Saad Hassan, Yao Ding, Agneya Abhimanyu Kerure, Christi Miller, John Burnett, Emily Biondo, and Brenden Gilbert.
ACM DL ·  BibTeX
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, and Garrett Tanzer.
Saad Hassan, Akhter Al Amin, Caluã de Lacerda Pataca, Diego Navarro, Alexis Gordon, Sooyeon Lee, and Matt Huenerfauth.
ACM DL ·  BibTeX
Saad Hassan, Matthew Seita, Larwan Berke, Yingli Tian, Elaine Gale, Sooyeon Lee, and Matt Huenerfauth.
Saad Hassan, Larwan Berke, Elahe Vahdani, Longlong Jing, Yingli Tian, and Matt Huenerfauth.
Tulane University Assistant Professor (2023-)
Computer Science
School of Science and Engineering
Tulane University
Office: Paul Hall 307
Mail: Stanley Thomas 303

RIT CAIR PhD Student, CAIR Lab, RIT (2019–2023) with Matt Huenerfauth
Google Research Intern, Google Research (2021–2022, 2023) with Thad Starner
Meta Reality Labs Intern, Meta Reality Labs (2022)




Funding

Research at my lab is currently supported by:
Board of Regents Louisiana Board of Regents
Tulane Tulane: Lavin-Bernick Grant; University Senate Committee on Research (with the Provost's Office)
Previous sponsors:
Tulane Tulane: Center for Engaged Learning & Teaching (CELT)
Duolingo Duolingo