About me

I am Kailai Cui, a 3rd year PhD candidate in Computer Science and Engineering at the University of Michigan, advised by Professor Kang G. Shin and Professor Ke Sun.

My research interests lie in mobile and wearable systems, with a focus on foundation models for mobile systems. Currently, I am investigating VLM frameworks for human memory augmentation, focusing on extracting structured context and persistent object states from daily interactions. I developed an egocentric perception system that augments human memory by automatically tracking the semantic state evolution of household food, and created the first Food State Benchmark on egocentric video datasets. I also design novel sensing systems for UWB localization and IoT security.

Previously, I developed a system for UWB-based smartphone localization inside vehicles to prevent distracted driving, and worked on IoT security through power side-channel auditing. I completed my undergraduate studies at the College of William & Mary, where I earned Bachelor of Science degrees in both Computer Science and Mathematics, working under the supervision of Professor Gang Zhou.