Clark T.-C. Nguyen (Advisor)

Research Advised by Professor Clark T.-C. Nguyen

BSAC's Best: Spring 2022 Oral Presentation Winners Announced

April 11, 2022

BSAC would like to thank all of the researchers who presented their research during BSAC's Spring 2022 Research Review, April 6 & 7.

BSAC Industrial Members voted for their favorite oral presentations and the results are in. Please join us in congratulating the winners of the Spring 2022 Best of BSAC honors, Nathan Lambert and Xintian Liu!

Watch the Spring 2022 Oral Presentations

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Qiutong Jin

Graduate Student Researcher
Electrical Engineering and Computer Sciences
Professor Clark T.-C. Nguyen (Advisor)
Ph.D. 2025 (Anticipated)

Qiutong Jin received B.S. in Electrical Engineering from University of Iowa in 2019. She is currently pursuing a Ph.D. in MEMS in EECS at UC Berkeley under the supervision of Prof. Clark Nguyen.

BPN828: Zero Quiescent Power Micromechanical Receiver

Qiutong Jin
Kevin H. Zheng
2022

This project aims to explore and demonstrate a mostly mechanical receiver capable of listening signals within low-frequency and very-low-frequency range. The receiver is designed to consume zero power at standby and consume very litter power (nW) only when receiving valid bits.

BPN867: Fully Integrated CMOS-Metal MEMS Systems

QianYi Xie
Kieran Peleaux
Qiutong Jin
2022

As RF MEMS technology evolves to shift towards UHF frequencies, the parasitics inherent in hybrid fabrication approaches become the performance bottleneck. This project aims to integrate metal MEMS resonators directly over CMOS circuitry to achieve fully integrated MEMS systems. Pursuant to this goal, this project proposes several designs for UHF MEMS bandpass filters, exploring how different CMOS-compatible metals can yield performance metrics—such as quality-factor (Q), temperature stability and frequency drift—that are comparable to those of standard polysilicon MEMS resonators....

BPN859: High Frequency Oscillator Characterization

QianYi Xie
Kieran Peleaux
Kevin H. Zheng
2022

This project aims to study and understand fundamental mechanisms that govern phase noise, aging, thermal stability, and acceleration stability in high frequency micromechanical resonator oscillators.

BPN972: Temperature-Insensitive Resonant Strain Sensor

Xintian Liu
2022

Explore the ultimate capability of a vibrating ring-based electrical stiffness-based resonant strain sensor, rigorously confirming a superior insensitivity to temperature that should permit it to operate under wide temperature excursions, such as experienced in harsh automotive environments.

BPN953: Long-Term Drift of MEMS-Based Oscillators

Sherwin A. Afshar
Qianyi Xie
2022

This project seeks to characterize and de-mystify mechanisms behind long-term drift in MEMS-based oscillators, including ones employing various sustaining amplifiers and referenced to resonators constructed in a variety of materials, including silicon, polysilicon, AlN, diamond, and ruthenium. A measurement apparatus that suppresses unwanted sources of drift, e.g., temperature, to better focus on resonator and oscillator long-term drift will be instrumental to success and will likely entail the use of double or triple ovens, as well as environment resistant circuit design.

BPN939: Analysis and Benchmarking of MEMS-Based Super-Regenerative Receivers

Kevin H. Zheng
2022

The recent MEMS-based super-regenerative receiver our group demonstrated used a tunable 65-nm-capacitive-gap transduced wine-glass disk resonator to receive and demodulate OOK signals with only 490uW of power consumption. This work aims to analyze the sensitivity and maximum bit rate for this class of receiver in the presence of adjacent-channel blockers and measure these characteristics for receivers implemented using resonators with sub-40-nm gaps.