Liwei Lin (Advisor)

Research Advised by Professor Liwei Lin

Lin Group:  List of Projects | List of Researchers

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...

BPN941: Ultrasound-Induced Human-Machine Interface

Declan M. Fitzgerald
Huicong Deng
Umut Can Yener
Fan Xia
Wei Yue
2025

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...

Huicong Deng

Graduate Student Researcher
Mechanical Engineering
Professor Liwei Lin (Advisor)
Professor Ming C. Wu (Advisor)
Ph.D. 2029 (Anticipated)

Huicong Deng received his B.E. in Electrical Engineering from University of Chinese Academy of Sciences in 2024. He is currently pursuing a Ph.D. degree in Mechanical Engineering, co-advised by Prof. Liwei Lin and Prof. Ming C. Wu. His research interest includes MEMS, integrated photonics and PMUTs.

BPNX1007: Surface Tension-Driven Liquid Metal Actuator

Zihan Wang
Peisheng He
Wei Yue
2025

Surface tension plays an important role in miniaturized systems as the scaling law favors its relative significance over other forces such as gravity, magnetic, and structural stiffness. As such, surface tension effects have induced process issues in microfabrication such as stiction but also provided opportunities in using the surface tension to drive microdevices, such as those based on electrowetting-on-dielectric (EWOD), electrocapillary, and continuous electrowetting (CEW) mechanism, … etc. In this project, we exploit the giant outputs by the switching of surface tension...

Zihan Wang

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

Zihan Wang received his Ph.D. degree in Data Science and Information Technology at Tsinghua University in 2024. He is currently a postdoctoral researcher in Professor Liwei Lin's lab focusing on liquid metal-based sensors and actuators.

Nikita Lukhanin

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

Nikita Lukhanin is currently pursuing a Ph.D. in MEMS at the University of California, Berkeley. Prior to this, he obtained a B.Sc. in Mechanical Engineering from the University of Illinois as well as an A.S. in Engineering Science from College of DuPage.

Fan Xia

Graduate Student Researcher
Mechanical Engineering
Professor Liwei Lin (Advisor)
Ph.D. 2025

Plasmonic Coffee-Ring Biosensing for AI-Assisted Point-of-Care Diagnostics

Kamyar Behrouzi
Zahra Khodabakhshi Fard
Chun-Ming Chen
Peisheng He
Megan Teng
Liwei Lin
2025

A major challenge in addressing global health issues is developing simple, affordable biosensors with high sensitivity and specificity. Significant progress has been made in at-home medical detection kits, especially during the COVID-19 pandemic. Here, we demonstrated a coffee-ring biosensor with ultrahigh sensitivity, utilizing the evaporation of two sessile droplets and the formation of coffee-rings with asymmetric nanoplasmonic patterns to detect disease-relevant proteins as low as 3 pg/ml, under 12 min. Experimentally, a protein-laden droplet dries on a nanofibrous membrane, pre-...