Liwei Lin (Advisor)

Research Advised by Professor Liwei Lin

Lin Group:  List of Projects | List of Researchers

BPNX1070: Enhancing PMUT Outputs by Package Optimizations

Mostafa Sedky
Nikita Lukhanin
Declan M. Fitzgerald
Umut Can Yener
2026

This work presents an evolutionary design framework for the horn package design of arrays of piezoelectric micromachined ultrasonic transducers (PMUTs). Our framework integrates high fidelity acoustic simulations, formulations for arbitrary three-dimensional horn geometries, and a custom genetic algorithm–based shape optimization strategy to customize and improve PMUT array wave directivity and amplitude in health care and wearable devices applications.

Project is currently funded by: Industry Sponsored Research

BPNX1069: Programmable Self-Assembly of Microparticles

Umut Can Yener
Declan M. Fitzgerald
Mostafa Sedky
Huicong Deng
2026

Piezoelectric micromachined ultrasonic transducer (PMUT) arrays provide a compact and scalable platform for synthesizing programmable acoustic pressure fields. In this project, we investigate PMUT-enabled programmable microparticle self-assembly in fluidic environments using dynamically controlled ultrasonic standing waves. Unlike conventional cymatics, which relies on fixed vibrational modes of a single acoustic source, individually addressable PMUT elements enable active control of frequency, phase, and amplitude to generate reconfigurable pressure landscapes. By tailoring...

BPNX1063: Micro Flying Robots with Beamforming Control

Wei Yue
Yuan Gao
2026

This project develops micro flying robots enabled by electromagnetic actuation and beamforming-based control, eliminating the need for onboard power sources. Distributed coil arrays generate spatially programmable magnetic fields that provide wireless power delivery and open-loop flight control through field shaping, without onboard sensing or computation. Magnetic beamforming enables stable untethered flight and maneuverability at sub-centimeter scales. The work establishes a general framework for wireless actuation of micro-scale flying robots and other untethered micro-...

BPNX1061: 3D Imaging Using PMUTs

Nikita Lukhanin
Ziv Behar
Ashkay Shivkumar
Divij Muthu
Alice Wu
Ameer Hamzah
Umut Can Yener
Mostafa Sedky
Megan Teng
Tofic Esses
Linda Liu
Suraj Chamakura
Ryan Johnson
Chun-Ming Chen
2026

We have used PMUTs for 3D imaging using air based arrays with a computational imaging scheme. This project advances the ultrasound-based imaging techniques by using the compressed sensing scheme. The goal is to achieve 3D imaging with a low number of transducers and minimum computation for various applications in robotics, wearable electronics, autonomous navigation, and medical diagnostics.

Project is currently funded by: Member Fees

BPNX1036: Enhanced Gas Sensing with Machine Learning

Yuan Gao
Wei Yue
2026

Accurate, real-time gas detection is crucial for applications from environmental monitoring to industrial processes, yet sensors are limited by low accuracy, slow response, and drift — the same gas reads differently months later. This project develops scalable machine learning for both problems. Encoder–decoder architectures and a decision-fusion model consolidate the strengths of multiple carbon dioxide sensors into a single virtual sensor, achieving a mean absolute percentage error (MAPE) of 2.97% while reducing response and recovery times from approximately 9 minutes to 2 minutes. A...

BPN941: Ultrasound-Induced Human-Machine Interface

Declan M. Fitzgerald
Umut Can Yener
Mostafa Sedky
Huicong Deng
Fan Xia
Wei Yue
2026

As smart devices dominate larger areas of day-to-day life, their ability to communicate with human users must improve. While skin is the largest organ in the human body, relatively few efforts have gone toward developing more adaptive ways to utilize the "sense of touch" compared to visual and auditory signaling. The mechanical stimulus to generate a sense of touch by the embedded mechanoreceptors in the skin at different depths has been created in previous ways via vibratory actuators, requiring bulky and specialized offset masses and motors. In this project, we are investigating the...

Peggy Tsao

Graduate Student Researcher
Mechanical Engineering
Professor Liwei Lin (Advisor)
Ph.D. 2026

Peggy Tsao received a B.S. in Mechanical Engineering from National Taiwan University in 2020. She is currently pursuing a Ph.D., major in Design and minor in MEMS/Nano in Mechanical Engineering at UC Berkeley under the supervision of Prof. Liwei Lin and is expected to graduate in 2027.

BPN993: Roll-to-Roll Fabrication of Flexible Batteries

Jong Ha Park
Benjamin Toppel
Peisheng He
2026

Safe and deformable soft batteries are highly desirable for applications such as mobile electronics and conformable systems on irregular surfaces. Conventional Li-ion batteries rely on rigid packaging and hermetic sealing to block moisture intrusion and prevent leakage of toxic, flammable organic electrolytes. In contrast, recently reported deformable or stretchable batteries provide good conformability but suffer rapid performance degradation in ambient conditions, limiting their operating lifetimes. The fundamental challenge is that mechanical softness and gas impermeability are mutually...

BPN955: AI-Powered Life-Science Monitoring Platforms

Nikita Lukhanin
Keming Bai
Kang Wang
Declan M. Fitzgerald
Kamyar Behrouzi
2026

Access to affordable and user-friendly health-science monitoring platforms are crucial for advancing global healthcare. While lateral flow immunoassays have been the primary solution for decades, their limited sensitivity and suboptimal sample utilization present challenges. This project represents a systematic progression towards developing economically viable sensors with heightened sensitivity, applicable to both disease diagnostics and the detection of environmental contaminants. By integrating nanoplasmonics to induce visually perceptible signals and harnessing the coffee ring effect...

BPN743: Highly Responsive PMUTs for Volumetric Environmental Monitoring and Multimodal Tactile Sensing

Megan Teng
Peggy Tsao
Hanxiao Liu
Yande Peng
2026

This work presents a unified MEMS platform utilizing Piezoelectric Micromachined Ultrasonic Transducers (PMUTs) for dual-mode sensing: continuous volumetric indoor temperature monitoring and multimodal tactile force sensing. By leveraging ultrasonic Time-of-Flight (ToF) and profile scanning, we demonstrate two critical advancements for autonomous systems. First, at the macro-scale, a networked PMUT grid enables "volumetric" temperature monitoring across a 5m range, outperforming traditional pointwise sensors by detecting global and local thermal events for energy-efficient HVAC control....