Daniel Pates
About Daniel Pates
Daniel Pates is a Member of Technical Staff and Imaging Systems Analysis Engineer at ON Semiconductor, with extensive experience in pixel technology development and image processing algorithms. He has worked in various roles within the semiconductor and automotive industries, including positions at Argonne National Laboratory, General Motors, and Micron Technology.
Work at ON Semiconductor
Daniel Pates currently holds the position of Member of Technical Staff, Imaging Systems Analysis Engineer at ON Semiconductor. He has been with the company since 2019, contributing to advancements in imaging systems. His role involves the validation and optimization of image processing algorithms, particularly for new image sensor or processor product introductions. Prior to this position, he served as Senior Manager of Pixel Characterization at ON Semiconductor from 2006 to 2018, where he focused on pixel technology development.
Previous Experience in the Semiconductor Industry
Before joining ON Semiconductor, Daniel Pates accumulated significant experience in the semiconductor industry. He worked at Micron Technology as an Intern R&D Characterization Engineer in 2005 and later at Argonne National Laboratory as an Intern Research Engineer in 2003. Additionally, he served as Senior Manager of Pixel Characterization at ON Semiconductor for 12 years, where he developed expertise in high-performance applications.
Background in Automotive Technology
Daniel Pates has experience in the automotive sector, having worked as an Advanced Technology Specialist - Camera Systems at General Motors from 2018 to 2019. His role involved developing camera systems, contributing to advancements in automotive imaging technology. This experience complements his extensive background in imaging systems and pixel technology.
Education and Expertise
Daniel Pates holds a Bachelor of Science (BS) and a Master of Science (MS) in Electrical Engineering from Iowa State University. His educational background is complemented by studies in Industrial Technology and Pre-Engineering at Kirkwood Community College. His academic training has provided him with a strong foundation in electrical engineering principles, which supports his expertise in image processing algorithms and pixel technology development.
Research and Teaching Experience
Daniel Pates has a background in academia, having worked as a Research and Teaching Assistant at Iowa State University from 2004 to 2006. During this time, he contributed to research projects and assisted in teaching, which enhanced his understanding of engineering concepts and methodologies. This experience has informed his technical work in the semiconductor and automotive industries.