Liwei Lin (Advisor)

Research Advised by Professor Liwei Lin

Lin Group:  List of Projects | List of Researchers

BPN993: Roll-to-Roll Fabrication of Flexible Batteries

Jong Ha Park
Benjamin Toppel
Peisheng He
2025

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...

Chao Wu

Postdoctoral Researcher
Mechanical Engineering
Professor Liwei Lin (Advisor)
PostDoc 2024 to present

Chao received his Ph.D. degree in Mechanical Engineering from Xiamen University in 2023. He is currently a postdoctoral researcher at the Department of Mechanical Engineering, University of California, Berkeley, under the supervision of Professor Liwei Lin.. His research focuses on the development of sensors for intelligent construction.

Yuan Gao

Graduate Student Researcher
Mechanical Engineering
Professor Liwei Lin (Advisor)
Ph.D. 2028 (Anticipated)

Yuan Gao received his B.Eng. degree in Robotics Engineering from Peking University, Beijing, China, in 2023. He is currently pursuing a Ph.D. in Mechanical Engineering at the University of California, Berkeley.

Jong Ha Park

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

BPN743: Highly Responsive pMUTs

Peggy Tsao
Megan Teng
Hanxiao Liu
Yande Peng
2025

Ultrasonics has been realized as a nondestructive measurement method for a variety of
applications, such as medical imaging, healthcare monitoring, structural testing, range finding, and motion sensing. Furthermore, high intensity ultrasound can be used in therapeutic treatments, such as lithotripsy for kidney stone comminution, hyperthermia for cancer therapy, high-intensity focused ultrasound (HIFU) for laparoscopic surgery and transcranial sonothrombolysis for brain stroke treatment. MEMS ultrasonic transducers are known to have several pronounced advantages over the conventional...

Ilryu Jang

Visiting Scholar Researcher
Mechanical Engineering
Professor Liwei Lin (Advisor)
Visiting Scholar 2024 to 2025

Peisheng He

Postdoctoral Researcher
Mechanical Engineering
Professor Liwei Lin (Advisor)
Ph.D. 2023, PostDoc 2023 to 2025

Peisheng He received his B.S. in Materials Science and Engineering from Shanghai Jiao Tong University in 2018. He received his M.S. and Ph.D. in Mechanical Engineering from University of California, Berkeley in 2020 and 2023, respectively under the supervision of Prof. Liwei Lin. He is currently a post-doctoral researcher in Professor Liwei Lin's lab as a Bakar Innovation Fellow.

Spring 2023 Research Review Presenter

BPNX1036: Enhanced Gas Sensing with Machine Learning

Yuan Gao
Wei Yue
2025

Accurate and real-time gas detection is crucial for applications ranging from environmental monitoring to industrial processes. Traditional methods are often limited by low accuracy, slow response times, and high costs. This project introduces a scalable machine learning fusion system that integrates sensor fusion techniques to enhance detection performance. With encoder-decoder architectures and a decision fusion model, our approach significantly improves the accuracy of carbon dioxide sensing, achieving a mean absolute percentage error (MAPE) of 2.97% while reducing response and recovery...

BPNX1034: Biological Bone Age Assessment via PMUTs

Nikita Lukhanin
Fan Xia
Sean Isomatsu
Megan Teng
Chun-Ming Chen
Bo Jiang
Jean-Daniel Zanone
2025

Piezoelectric micromachined ultrasonic transducers (pMUTs) could enable unique applications in medical imaging, healthcare, human-machine interfaces, and point-of-care testing. This work presents the first time pMUTs are implemented for biological age assessment via growth plate detections. Traditionally, the biological age can be examined by sophisticated equipment in a lab such as by DNA methylation and telomere attrition [1]. We propose a novel method with three key advancements: (1) a wearable ultrasound device for biological age detection by a compact pMUTs chip; (2) a beamforming...

BPN955: AI-Powered Life-Science Monitoring Platforms

Nikita Lukhanin
Keming Bai
Kang Wang
Declan M. Fitzgerald
Kamyar Behrouzi
2025

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...