Arshia Khan

University of Minnesota, Duluth

Papers

17

Total Citations

128

H-Index

5

About

Arshia Khan is a pioneering researcher at the intersection of assistive robotics, elder care, and dementia treatment, whose work addresses one of the most pressing healthcare challenges of our time: the rapidly aging global population. With a body of scholarship accumulating over 110 citations, Khan has established herself as a leading voice in exploring how emerging technologies can transform caregiving for older adults and individuals living with dementia. Her most influential contribution, "Robots in Healthcare: A Survey" (2019), laid critical groundwork for understanding the role of robotics across medical settings, while subsequent studies have zeroed in on humanoid robots as practical solutions to nursing home staff shortages — including a landmark feasibility study deploying 16 humanoid robots across eight Minnesota nursing homes. Khan's research extends beyond hardware, encompassing wearable sensors, spatial technology, and intelligent dementia-friendly environments that integrate multiple assistive systems simultaneously. Equally notable is her attention to therapeutic interventions, including a widely cited examination of reminiscence therapy for depression in elderly patients. By bridging clinical psychology and cutting-edge robotics, Khan's work offers a uniquely holistic vision for future elder care — one that is compassionate, technologically informed, and urgently relevant to caregivers, policymakers, and healthcare administrators worldwide.

Research Focus

Key Achievements

5
H-Index
17
Papers
128
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Robots in Healthcare: A Survey
44 citations · 2019
📈 Most Prolific Year: 2022 (4 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: University of Minnesota, Duluth

Top Papers

  1. 1
    Robots in Healthcare: A Survey
    44 citations · 2019
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago