Information Director

Information Director

-  155 posts

Sushant is currently a Software Engineer at Google, working in the field of natural language understanding and information retrieval. He completed his PhD at the Rochester Institute of Technology, where he specialized in accessibility for people with disabilities, human-computer interaction and computational linguistics. He is interested in building machine learning (ML) systems that model human communication with a goal to enhance human-to-human or human-to-machine interaction.

EdgeWrite: A Versatile Design for Text Entry and Control

EdgeWrite was designed to provide accessible text entry on a variety of platforms to people with motor impairments and to able-bodied users of small devices.

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Generating American Sign Language Classifier Predicates For English-To-ASL Machine Translation

This project has created an English-to-ASL MT design capable of producing classifier predicates.

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Multi-Modal Exploration

we focus on the presentation of multi-modal documents through refreshing pin displays.

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The Effectiveness of the Web Accessibility Audit as a Motivational and Educational Tool in Inclusive Web Design

This thesis describes the development and evaluation of a Web accessibility auditing methodology with the dual aims of accurately identifying accessibility barriers present in a Web site, and presenting the audit findings and recommended actions in a way that informs, educates and engenders an improved understanding of accessibility amongst the audience.

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2006 Best Student Paper

MobileASL: Intelligibility of Sign Language Video As Constrained by Mobile Phone Technology

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2006 Best Paper

Improvements In Vision-Based Pointer Control

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Interactive Sonification of Abstract Data – Framework, Design Space, Evaluation, and User Tool

For people with visual impairments, sound is an important information channel.

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ASSETS 2005

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SADIe: Structural Semantics for Accessibility and Device Independence

By using ontologies to capture the semantics of the CSS Stylesheets and XHTML, the implicit information contained within a web page can be reordered and manipulated into an explicit form that better suits the needs of visually impaired users.

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Annotation and Transformation of Web Pages to Improve Mobility for Visually Impaired Users

This research demonstrates that by providing machine processable data, regarding the structural and navigational properties of Web pages, applications can be created to present Web pages in alternative forms and so enhance the travel experience of visually impaired users.

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