Kahaniyan - Designing for Acquisition of Urdu as a Second Language. - Saad Hassan; Aiza Hasib; Suleman Shahid; Sana Asif; Arsalan Khan (INTERACT (2), 2019)

Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens. - Saad Hassan; Matt Huenerfauth; Cecilia Ovesdotter Alm (EMNLP (Findings), 2021)

Effect of Occlusion on Deaf and Hard of Hearing Users' Perception of Captioned Video Quality. - Akhter Al Amin; Saad Hassan; Matt Huenerfauth (HCI (8), 2021)

Caption-occlusion severity judgments across live-television genres from deaf and hard-of-hearing viewers. - Akhter Al Amin; Saad Hassan; Matt Huenerfauth (W4A, 2021)

Effect of Sign-recognition Performance on the Usability of Sign-language Dictionary Search. - Saad Hassan; Oliver Alonzo; Abraham Glasser; Matt Huenerfauth (ACM Trans. Access. Comput., 2021)

Support in the Moment: Benefits and use of video-span selection and search for sign-language video comprehension among ASL learners. - Saad Hassan; Akhter Al Amin; Caluã de Lacerda Pataca; Diego Navarro; Alexis Gordon; Sooyeon Lee; Matt Huenerfauth (ASSETS, 2022)

Understanding ASL Learners' Preferences for a Sign Language Recording and Automatic Feedback System to Support Self-Study. - Saad Hassan; Sooyeon Lee; Dimitris N. Metaxas; Carol Neidle; Matt Huenerfauth (ASSETS, 2022)

Watch It, Don't Imagine It: Creating a Better Caption-Occlusion Metric by Collecting More Ecologically Valid Judgments from DHH Viewers. - Akhter Al Amin; Saad Hassan; Sooyeon Lee; Matt Huenerfauth (CHI, 2022)

Design and Evaluation of Hybrid Search for American Sign Language to English Dictionaries: Making the Most of Imperfect Sign Recognition. - Saad Hassan; Akhter Al Amin; Alexis Gordon; Sooyeon Lee; Matt Huenerfauth (CHI, 2022)

Designing and Experimentally Evaluating a Video-based American Sign Language Look-up System. - Saad Hassan (CHIIR, 2022)

Using BERT Embeddings to Model Word Importance in Conversational Transcripts for Deaf and Hard of Hearing Users. - Akhter Al Amin; Saad Hassan; Cecilia O. Alm; Matt Huenerfauth (LT-EDI, 2022)

ASL-Homework-RGBD Dataset: An annotated dataset of 45 fluent and non-fluent signers performing American Sign Language homeworks. - Saad Hassan; Matthew Seita; Larwan Berke; Yingli Tian; Elaine Gale; Sooyeon Lee; Matt Huenerfauth (CoRR, 2022)

Sign Spotter: Design and Initial Evaluation of an Automatic Video-Based American Sign Language Dictionary System. - Matyas Bohacek; Saad Hassan (ASSETS, 2023)

Exploring the Design Space of Automatically Generated Emotive Captions for Deaf or Hard of Hearing Users. - Saad Hassan; Yao Ding 001; Agneya Abhimanyu Kerure; Christi Miller; John Burnett; Emily Biondo; Brenden Gilbert (CHI Extended Abstracts, 2023)

PopSign ASL v1.0: An Isolated American Sign Language Dataset Collected via Smartphones. - Thad Starner; Sean Forbes; Matthew So; David Martin; Rohit Sridhar; Gururaj Deshpande; Sam S. Sepah; Sahir Shahryar; Khushi Bhardwaj; Tyler Kwok; Daksh Sehgal; Saad Hassan; et al. (NeurIPS, 2023)

Modeling Word Importance in Conversational Transcripts: Toward improved live captioning for Deaf and hard of hearing viewers. - Akhter Al Amin; Saad Hassan; Matt Huenerfauth; Cecilia Ovesdotter Alm (W4A, 2023)

Understanding How Deaf and Hard of Hearing Viewers Visually Explore Captioned Live TV News. - Akhter Al Amin; Saad Hassan; Sooyeon Lee; Matt Huenerfauth (W4A, 2023)

Tap to Sign: Towards using American Sign Language for Text Entry on Smartphones. - Saad Hassan; Abraham Glasser; Max Shengelia; Thad Starner; Sean Forbes; Nathan Qualls; Sam S. Sepah (Proc. ACM Hum. Comput. Interact., 2023)

Exploring the "Freedom to be Me" through Design Sprints with Neurodivergent Scholars. - LouAnne Boyd; Annuska Zolyomi; Saad Hassan; Seray B. Ibrahim; Guande Wu; Kay Kender (ASSETS, 2024)

Towards a Rich Format for Closed-Captioning. - Lloyd May; Alex C. Williams; Saad Hassan; Mark Cartwright; Sooyeon Lee (ASSETS, 2024)

Designing and Evaluating an Advanced Dance Video Comprehension Tool with In-situ Move Identification Capabilities. - Saad Hassan; Caluã de Lacerda Pataca; Laleh Nourian; Garreth W. Tigwell; Briana Davis; Will Zhenya Silver Wagman (CHI, 2024)

Caption Royale: Exploring the Design Space of Affective Captions from the Perspective of Deaf and Hard-of-Hearing Individuals. - Caluã de Lacerda Pataca; Saad Hassan; Nathan Tinker; Roshan Lalintha Peiris; Matt Huenerfauth (CHI, 2024)

Exploring the Benefits and Applications of Video-Span Selection and Search for Real-Time Support in Sign Language Video Comprehension among ASL Learners. - Saad Hassan; Caluã de Lacerda Pataca; Akhter Al Amin; Laleh Nourian; Diego Navarro; Sooyeon Lee; Alexis Gordon; Matthew Watkins; Garreth W. Tigwell; Matt Huenerfauth (ACM Trans. Access. Comput., 2024)

Tactile Emotions: Multimodal Affective Captioning with Haptics Improves Narrative Engagement for d/Deaf and Hard-of-Hearing Viewers. - Caluã de Lacerda Pataca; Saad Hassan; Lloyd May; Michelle M. Olson; Toni D'aurio; Roshan L. Peiris; Matt Huenerfauth (CHI, 2025)

FSboard: Over 3 Million Characters of ASL Fingerspelling Collected via Smartphones. - Manfred Georg; Garrett Tanzer; Esha Uboweja; Saad Hassan; Maximus Shengelia; Sam S. Sepah; Sean Forbes; Thad Starner (CVPR, 2025)

Towards an AI-Driven Video-Based American Sign Language Dictionary: Exploring Design and Usage Experience with Learners. - Saad Hassan; Matyas Bohacek; Chaelin Kim; Denise Crochet (W4A, 2025)

TabulaTime: A Novel Multimodal Deep Learning Framework for Advancing Acute Coronary Syndrome Prediction through Environmental and Clinical Data Integration. - Xin Zhang; Liangxiu Han; Stephen White; Saad Hassan; Philip A Kalra; James Ritchie; Carl Diver; Jennie Shorley (CoRR, 2025)