I am a Ph.D. candidate in the Department of Biomedical Engineering at the University of Kentucky. My research focuses on the development of diffuse optical spectroscopic and tomographic wearable technologies for the noninvasive assessment of tissue hemodynamics and metabolism. I am currently working on the development of a low-cost, wearable, wireless, and non-invasive optical sensor for cerebral hemodynamics and metabolism monitoring in freely moving subjects. My research project has generated several publications and has been awarded by Halcomb Fellowship in Medicine and Engineering ($30,000; 2021-2022). My professional/project experience is in the following area:

1. Wearable Device Prototyping:
a. Developed a near-infrared tissue oximeter using NI DAQ board, LEDs, photodiode.
b. Developed a wearable optical sensor for cerebral blood flow and oxygenation monitoring using Arduino Uno, laser diodes, and camera.
c. Developing a wireless wearable sensor for continuous cerebral monitoring using Raspberry Pi and Bluetooth.

2. 3D Printing
a. Designed and printed animal constraint frame for piglet brain MRI scanning using a conventional 3D printer.
b. Designed a wearable head-stage/probe for rodents’ cerebral monitoring using an SLA 3D printer.
c. Designed a wearable band to fix the cerebral monitoring sensor on the infant’s head using a skin-safe flexible filament.

3. Image Data Analysis:
a. Extract the longitudinal blood flow information from a time series of raw speckle images.
b. Extract blood oxygenation information from raw intensity images using modified Beer-Lambart law.
c. Laser speckle contrast imaging analysis.

4. Optical System Testing/calibration:
a. Test and calibrate an optical system with a high-power near-infrared laser and a CMOS camera for tissue hemodynamics monitoring.