Summary
Prerna Khanna is a PhD candidate and Research Assistant at Stony Brook University with eight years of research and engineering experience at the intersection of mobile and cyber-physical systems, HCI, applied machine learning, and accessibility. She designs lightweight interaction techniques for commodity wearables to expand non-visual and non-touch smartphone interactions, with a focus on improving accessibility for people with visual impairments. Her internships and research roles span industry leaders and top labs—including Meta Reality Labs, Nokia Bell Labs, and Carnegie Mellon—where she built tiny-ML pipelines for wearables and conversational audio interaction techniques. Prerna’s background in instrumentation and embedded R&D informs a rare blend of hardware-aware algorithm design and human-centered evaluation, evidenced by projects from prosthetic cost reduction to lung-health sensing in masks. Based in New York, she combines rigorous academic training with practical systems-building that moves accessible interaction research toward real-world deployment.
7 years of coding experience
1 year of employment as a software developer
Bachelor of Technology (B.Tech.) Instrumentation and Control Engineering, Bachelor of Technology (B.Tech.) Instrumentation and Control Engineering at Guru Gobind Singh Indraprastha University
AISSCE Science PCM, AISSCE Science PCM at Loreto Convent School
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Stony Brook University
English, Hindi