Physical Sensors & Devices

Research that includes:

  • Silicon MEMS actuators: comb, electro-thermal, and plastic deformation
  • Precision electronic sensing and measurements of capacitive, frequency, and coulombic MEMS variables
  • Structures and architectures for gyroscopes, accelerometers, micro strain gauges for direct application to rigid structures e.g., steel, and levitated MEMS

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...

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...

BPN735: Walking Silicon Microrobots

Yichen Liu
Daniel Lovell
Alexander Alvara
Dang Le
2026

We aim to develop a family of autonomous silicon-based robotic insects that integrate actuation, computation, and power within a single platform. A silicon-on-insulator (SOI) device serves as the foundation, enabling electrostatic actuators that drive silicon linkages fabricated directly in the device layer. Electrostatic actuation provides a key advantage at the microscale, offering low power consumption suitable for energy harvesting and autonomous operation. Computation and communication are enabled by the Single Chip Micro Mote (SCuM, BPN803), while a Zappy2 chip with integrated solar...

BPNX1060: Wearable On-Skin Chemical Sensing

Seung-Rok Kim
2026

We present a wearable platform for on-skin chemical sensing that enables continuous and real-time monitoring of metabolic activity. The device is designed to operate robustly during physical activities and under varying skin conditions, providing reliable measurements that may be useful for personalized health assessment.

Project is currently funded by: Industry Sponsored Research

BPNX1043: Siloxane-Induced Deactivation in Semiconductor Metal Oxides Sensors: Mechanism and Mitigation Strategies

Tzu-Chiao Wei
Carlo Carraro
Jiaxin Liu
2026

Chemiresistive gas sensors based on semiconductor metal oxides, such as tin oxide (SnO₂), play a critical role in detecting toxic gases and monitoring pollution in industrial and environmental applications. Siloxanes, organic compounds that contain silicon and oxygen atoms and are widely used in personal care products, are commonly present in various environments. The presence of these compounds can significantly degrade sensor performance by modifying the oxide surface, altering its gas adsorption properties, and reducing both sensitivity and selectivity in gas sensing. To address this...

BPNX1024: Reusable Sweat Rate Sensor

Seung-Rok Kim
Yifei Zhan
Noelle Davis
Suhrith Bellamkonda
2026

Sweat rate can provide the precautious signal of hyperhidrosis, hypohidrosis, and autonomic dysfunction. Currently, microfluidic and hygrometer-based sweat rate sensors are two types of available real-time sweat rate sensors. However, microfluidic device has issues of low temporal resolution, limited volume capacity, and surrounding artifact dependencies, while hygrometer-based devices also has overfilling and environmental artifact issues. In this work, we present reusable sweat rate sensor for continuous monitoring of sweat rate with novel sensor design.

Project...

BPN999: Wearable Sweat Sensors with High-Throughput Fabrication

Seung-Rok Kim
Noelle Davis
Pooja Mehta
Amanda King
Yullim Lee
Nicole Qing
2025

We have been developing sweat sensors to analyze physiological and metabolic health information, such as sweat rate, glucose levels, pH, and various electrolytes, from any surface on the body surface where sweat glands are present. However, the stiff sweat sensors developed so far struggle to detect subtle signal changes, especially on soft skin. This is due to a mechanical mismatch between the rigid sweat sensor and the pliable skin, which can lead to motion artifacts and delamination of the patch from skin. Specifically, the stiff sensor cannot easily stretch along with the...

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...

BPNX1031: Scalable Infrared Photodetectors based on Large-Grain Tellurium Film

Hyong Min Kim
Naoki Higashitarumizu
Theodorus Jonathan Wijaya
2026

Infrared detection and imaging have a wide range of applications in thermal imaging, optical communication, gas sensing, and night vision. Currently, detection in the short-wave infrared (SWIR, 1 – 3 um) predominantly utilizes semiconducting materials such as single-crystalline germanium (Ge) and III-V semiconductors such as indium gallium arsenide phosphide (InGaAsP). The epitaxial growth of these materials often entails sophisticated methods that require high process temperatures and careful lattice matching with the substrate, making device fabrication costly and often poorly scaled....

Enhanced Real-Time Gas Detection Accuracy by a Scalable Machine Learning Scheme

Yuan Gao
Wei Yue
Qiuyang Xiao
Peisheng He
Liwei Lin
2025

This paper reports drastically improved accuracy of real-time gas detections by a scalable machine learning fusion system which utilizes encoder-decoder structures and a decision fusion model. Advancements as compared to the state-of-the-art works include: 1) increased gas sensing accuracy of a carbon dioxide sensor with a Mean Absolute Percentage Error (MAPE) of 2.97% in real-time tests; 2) drastically reduced sensor response/recovery time from ~9 mins to 2 mins; and 3) good proof-of-concept demonstrations for both generalization and robustness across different gas sensors. As such, this...