[Hiring] Student Research Assistant @Chapman University Careers

Role Description

The undergraduate student research assistant will assist with a project that focuses on developing a low-cost, non-invasive optical imaging system which measures subtle changes in facial blood flow associated with concussions and autonomic nervous system dysfunction. Using a standard digital camera, we will employ remote photoplethysmography (rPPG) to detect small variations in facial skin color caused by changes in blood volume and circulation.

• Help develop Python-based image processing and signal analysis algorithms to track blood flow across different facial regions.
• Extract physiological signals such as heart rate and low-frequency vascular oscillations.
• Examine how these signals respond to controlled physiological challenges.
• Use techniques including facial landmark tracking, spatial mapping, Fourier analysis, and singular value decomposition to identify patterns of vascular activity.
• Explore whether inexpensive, camera-based measurements can provide objective biomarkers to support concussion assessment and recovery monitoring.

Qualifications

• Understanding of programming.
• Strong background in mathematics, especially linear algebra.

Company Description