Matthew Seita

Matthew Seita is a PhD in Computing and Information Sciences specializing in accessibility technologies and human-computer interaction. He graduated from the Rochester Institute of Technology (RIT), where he completed his doctoral studies at the Center for Accessibility and Inclusive Research (CAIR Lab). His research focuses on enhancing the interaction experiences of deaf and hard-of-hearing individuals with technology, particularly in the field of Automatic Speech Recognition (ASR). His work includes designing and evaluating new technologies, such as sign language recognition systems and improved ASR solutions, to facilitate workplace communication and inclusion for deaf and hard-of-hearing individuals. He has published academic papers at top conferences such as ACM CHI and ASSETS and is committed to advancing sign language research and accessibility technologies through artificial intelligence and machine learning.

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• 2018-2023·Rochester Institute of Technology (RIT)·PhD
  • Field: Computing and Information Sciences
  • Research Focus: Accessibility Technologies and Human-Computer Interaction
• 2014-2019·Rochester Institute of Technology (RIT)·Bachelor’s and Master’s Degrees
  • Field: Computer Science