Kevin Gay is currently a Master’s candidate in the computer science and information systems program at UNCW. During his time with the face aging group, he has helped work on a deep learning network to identify components on printed circuit boards (PCBs) and helped collect face datasets. He also developed an automated work order creation system at GE Nuclear. In the future, he will work on handwriting recognition and developing a UI for the PCB project.