Published multiple papers, including 'People with Visual Impairment Training Personal Object Recognizers: Feasibility and Challenges' at CHI 2017, which received a Best Paper Honorable Mention; 'Supporting Orientation of People with Visual Impairment: Analysis of Large Scale Usage Data' at ASSETS 2016, which was a Best Paper Finalist.
Research Experience
Assistant Professor at the College of Information Studies (iSchool) at the University of Maryland; Member of the Human-Computer Interaction Lab (HCIL); Participated in projects at Carnegie Mellon University, IBM Research - Tokyo, and other institutions.
Education
Ph.D. in Computer Science, Graduate Center, CUNY, Advisor: Matt Huenerfauth
Background
Research interests include addressing real-world problems by integrating data-driven methods and human-computer interaction. Particularly focused on leveraging advancements in artificial intelligence to benefit people with disabilities, such as developing sign language avatars and independent mobility for the blind.