Modeling the Speed and Timing of American Sign Language to Generate Realistic Animations. - Sedeeq Al-khazraji; Larwan Berke; Sushant Kafle; Peter Yeung; Matt Huenerfauth (ASSETS, 2018)

Evaluation of an English Word Look-Up Tool for Web-Browsing with Sign Language Video for Deaf Readers. - Dhananjai Hariharan; Sedeeq Al-khazraji; Matt Huenerfauth (HCI (7), 2018)

Using Data-Driven Approach for Modeling Timing Parameters of American Sign Language. - Sedeeq Al-khazraji (ICMI, 2018)

Design and Evaluation of a User-Interface for Authoring Sentences of American Sign Language Animation. - Abhishek Kannekanti; Sedeeq Al-khazraji; Matt Huenerfauth (HCI (7), 2019)

Comparison of Methods for Teaching Accessibility in University Computing Courses. - Qiwen Zhao; Vaishnavi Mande; Paula Conn; Sedeeq Al-khazraji; Kristen Shinohara; Stephanie Ludi; Matt Huenerfauth (ASSETS, 2020)

Empirical Investigation of Users' Preferred Timing Parameters for American Sign Language Animations. - Sedeeq Al-khazraji; Becca Dingman; Matt Huenerfauth (CHI Extended Abstracts, 2020)

Gaze-guided Magnification for Individuals with Vision Impairments. - Natalie Maus; Dalton Rutledge; Sedeeq Al-khazraji; Reynold Bailey; Cecilia Ovesdotter Alm; Kristen Shinohara (CHI Extended Abstracts, 2020)

Artificial intelligence fairness in the context of accessibility research on intelligent systems for people who are deaf or hard of hearing. - Sushant Kafle; Abraham Glasser; Sedeeq Al-khazraji; Larwan Berke; Matthew Seita; Matt Huenerfauth (ACM SIGACCESS Access. Comput., 2020)

At a Different Pace: Evaluating Whether Users Prefer Timing Parameters in American Sign Language Animations to Differ from Human Signers' Timing. - Sedeeq Al-khazraji; Becca Dingman; Sooyeon Lee; Matt Huenerfauth (ASSETS, 2021)