Jinhua Ouyang

Jinhua Ouyang is a skilled Research Engineer currently working at SC Solutions, focusing on the development of a real-time background/foreground image segmentation algorithm in Python for estimating lean-to-fat meat ratios in complex environments. Previously, Jinhua contributed as a Graduate Researcher in the Mechatronics, Automation, and Control Systems Lab at the University of Washington and served as an Undergraduate Researcher in the Nano-Electronics and Advanced Materials Research Lab at the University of Arizona. Jinhua holds a Master's degree in Mechanical Engineering from the University of Washington and a Bachelor's degree in Mechanical Engineering from the University of Arizona.