Nibraas Khan
Papers
5
Total Citations
19
H-Index
3
About
Nibraas Khan is an emerging researcher at the intersection of human-computer interaction, assistive technology, and gerontechnology, with a particular focus on designing socially assistive robots (SARs) for older adults experiencing cognitive decline. His work addresses a critical challenge in long-term care: combating apathy and social isolation among residents with mild cognitive impairment (MCI) and dementia, where traditional interventions are often resource-intensive and difficult to scale. Khan's most notable contributions center on user-centered design methodologies, ensuring that robotic and digital systems are meaningfully tailored to the needs of vulnerable populations. His 2022 paper on iterative design of robot-mediated paired activities has garnered 7 citations, establishing foundational approaches for deploying SARs in clinical and care settings. Complementing this, he developed a multimodal data collection and annotation tool to support rigorous research during human-computer interactions, cited 5 times. His systems architecture work for dementia intervention platforms further demonstrates his breadth across both design and engineering dimensions. Most recently, Khan co-led a multi-site randomized clinical trial protocol examining SAR efficacy across long-term care facilities — a significant step toward evidence-based adoption of assistive robotics. His growing body of work positions him as a thoughtful contributor to human-centered AI in healthcare.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5