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Yejoong Kim

Researcher at University of Michigan

Publications -  76
Citations -  2876

Yejoong Kim is an academic researcher from University of Michigan. The author has contributed to research in topics: Sensor node & Power Management Unit. The author has an hindex of 24, co-authored 71 publications receiving 2486 citations. Previous affiliations of Yejoong Kim include Intel.

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Journal ArticleDOI

Circuits for a Cubic-Millimeter Energy-Autonomous Wireless Intraocular Pressure Monitor

TL;DR: Continuous measurement can be achieved with an implanted monitor to improve treatment regiments, assess patient compliance to medication schedules, and prevent unnecessary vision loss.
Proceedings ArticleDOI

A cubic-millimeter energy-autonomous wireless intraocular pressure monitor

TL;DR: Circuit blocks for a 1.5 mm3 microsystem enable continuous monitoring of intraocular pressure at nanowatt power levels not completely explored before and achieves zero-net-energy operation with 2.5 hours of sunlight or 10 hours of bright indoor lighting daily.
Journal ArticleDOI

A Modular 1 mm $^{3}$ Die-Stacked Sensing Platform With Low Power I $^{2}$ C Inter-Die Communication and Multi-Modal Energy Harvesting

TL;DR: A self-adapting power management unit is proposed for efficient battery voltage down conversion for wide range of battery voltages and load current and adapts itself by monitoring energy harvesting conditions and harvesting sources.
Proceedings ArticleDOI

A 90nm Phase Change Memory Technology for Stand-Alone Non-Volatile Memory Applications

TL;DR: In this article, a 90nm technology node phase change memory (PCM) process, based on a chalcogenide material storage element with a vertical pnp bipolar junction transistor (BJT) selector device, is presented.
Journal ArticleDOI

Bubble Razor: Eliminating Timing Margins in an ARM Cortex-M3 Processor in 45 nm CMOS Using Architecturally Independent Error Detection and Correction

TL;DR: B Bubble Razor, an architecturally independent approach to timing error detection and correction that avoids hold-time issues and enables large timing speculation windows is proposed and implemented on an ARM Cortex-M3 microprocessor in 45 nm CMOS to demonstrate the technique's automated capability.