معرفی
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.
