I build wireless embedded systems that compute where the data is — pushing intelligence onto tiny, energy-constrained devices instead of the cloud.
Hello! I'm a PhD student in Computer Science at the National University of Singapore, advised by Prof. Ambuj Varshney.
My work spans the wireless embedded systems pipeline — from sensor-equipped microcontrollers, through edge devices, to the end user — with three projects, each sharpening one segment.
MicroSymphony coordinates several microcontrollers so a single tag can sense, infer, and communicate at once within microwatt budgets. AutoTag pushes battery-free tag-to-tag networks from a few meters to tens. TinyLLM brings language-model intelligence onto edge devices, off the cloud.
Many microcontrollers, one coordinated platform — a tag senses, infers, and communicates at once, all on microwatts.
Language models small enough to run on a microcontroller — near big-model accuracy, fully on-device.
Battery-free tags that talk straight to each other — peer-to-peer range stretched from a few meters to tens.
#02-17, COM-3 Building
School of Computing, NUS
11 Research Link, Singapore 119391