Translation of Computer Science and Mathematics Courses into
American Sign Language for Deaf or Hard of Hearing Students
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ABSTRACT
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Most of the computer science, mathematics, and other sciences 
are taught using modern technologies that make teaching an 
effective learning experience beneficial for students. 
However, there is room for improving the current technology to 
become suited well enough for the Deaf or Hard of Hearing 
students when they are attending STEM courses (e.g., science, 
technology, engineering, and mathematics).
This project describes four objectives:
1. Create an application that can read text from PowerPoint lectures.
2. Convert English sentences into ASL sentences by applying proper 
grammar rules.
3. Create a signing gesture repository for computer science related keywords.
4. Build a web application to display the signing avatar and PowerPoint
presentation.
          
SPEAKER(S)
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Associate Professor Stefan ANDREI, PhD
Computer Science Department, Lamar University
Beaumont, TX, 77710
S.U.A.
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Stefan graduated B.Sc. and M.Sc. from Cuza University of Iasi
in 1994 and 1995, respectively. He got his PhD from Hamburg
University in 2000 using a World Bank Scholarship Japan 
Graduate Program. He got a post doctoral fellowship from 
Singapore-MIT Alliance between 2002 and 2005. He is currently 
an Associate Professor with Computer Science Department of 
Lamar University.
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