Donald Kellis
About Donald Kellis
Donald Kellis is a Process Control Engineer at onsemi in Nampa, Idaho, with a background in ultra-fast spectroscopy and process engineering. He holds multiple degrees from Boise State University, including a Bachelor of Fine Arts, a Bachelor of Science in Materials Science, and a Master of Science in Materials Science and Engineering.
Work at Onsemi
Currently, Donald Kellis works at Onsemi as a Process Control Engineer. He has been in this role since 2021, contributing to the development of CMOS image sensors across various sectors. Prior to this position, he served as Equipment Technician 3 for nine months in 2021, where he gained valuable experience in equipment maintenance and process optimization. His responsibilities include real-time defect analysis and the statistical control of color filter array processing, which are critical for ensuring product quality and efficiency.
Education and Expertise
Donald Kellis has an extensive educational background from Boise State University. He earned a Bachelor of Fine Arts (BFA) in Sculpture and 3D Design from 1998 to 2002. He later pursued a Bachelor of Science (BS) in Materials Science, completing it in 2018 after eight years of study. He further advanced his education by obtaining a Master of Science (MS) in Materials Science and Engineering from 2018 to 2020. His expertise includes ultra-fast spectroscopy applications in process engineering and proficiency in OriginPro Statistical Analysis Software.
Background
Before his current role at Onsemi, Donald Kellis worked as a Research Associate at Boise State University for three months in 2020. This position allowed him to apply his academic knowledge in a practical research setting. His diverse educational journey, spanning fine arts and engineering, reflects a unique blend of creativity and technical skills, which he applies in his engineering roles.
Achievements
Donald Kellis has recently been promoted to a process engineering position at Onsemi, indicating recognition of his skills and contributions in the field. He specializes in real-time defect analysis and statistical control, which are essential for maintaining high standards in manufacturing processes. Additionally, he is developing programming skills in Python and JAVA, which enhance his capabilities in statistical process control and further support his engineering work.