Saad Hassan

Saad Hassan is an Assistant Professor in the Department of Computer Science at Tulane University's School of Science and Engineering. His research develops accessible technologies for Deaf/Hard-of-Hearing individuals and sign language users through human-computer interaction and AI approaches.

Dr. Hassan holds a PhD in Computing and Information Sciences from Rochester Institute of Technology (2023). His research focuses on:

• Sign language recognition and dictionary systems
• AI-powered captioning enhancements
• Computational analysis of ableist biases
• Creative expression technologies
• Cross-cultural accessibility solutions

His recent publications demonstrate innovations in sign language video comprehension tools, affective captioning systems, and educational technologies for ASL learners. Current research explores tactile captioning and large-scale sign language dataset collection.

Dr. Hassan mentors graduate and undergraduate researchers in accessibility projects. He has received multiple grants including a Duolingo Research Grant and CELT awards. Recognitions include Best Paper nominee at ASSETS 2022 and selection for the Duolingo Dissertation Award.