Liwei Lin (Advisor)

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...

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...

Safe and deformable soft batteries are desirable for modern products that call for good safety features such as cell phones and good conformability to be embedded onto irregular surfaces in electronics systems. Current Li-ion batteries on the commercial market are rigidly packaged and hermetically sealed to prevent: 1) the intrusion of moistures which degrade performances; and 2) the leakage of toxic and flammable electrolytes due to mechanical damages. On the other hand, various deformable/stretchable batteries have been reported in research articles and they have shown good...

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...