Stanley Scott Dye
About Stanley Scott Dye
Stanley Scott Dye is a DSP Engineer currently employed at Rincon Research Corporation since 2021. He holds a Master's degree from Purdue University and a Bachelor's degree in Electrical and Electronics Engineering from Brigham Young University, with experience in various engineering roles including internships and research assistantships.
Current Role at Rincon Research Corporation
Stanley Scott Dye has been employed at Rincon Research Corporation as a DSP Engineer since 2021. In this role, he applies his expertise in digital signal processing to various projects. His responsibilities include developing algorithms and systems that enhance signal processing capabilities.
Education and Expertise in Engineering
Stanley Scott Dye earned a Bachelor of Science in Electrical and Electronics Engineering from Brigham Young University, completing his studies from 2015 to 2019. He furthered his education at Purdue University, where he obtained a Master's degree from 2019 to 2021. His academic background provides a solid foundation in engineering principles and practices.
Professional Experience and Internships
Prior to his current position, Stanley Scott Dye gained valuable experience through various internships. He worked as an Autonomous Systems Intern at Sandia National Laboratories for three months in 2020. Additionally, he served as a Radar Signal Processing Intern at Wavetronix for three months in 2019. These roles contributed to his practical knowledge in the field.
Research and Teaching Experience
Stanley Scott Dye worked as a Research Assistant at Brigham Young University from 2017 to 2019. In this capacity, he contributed to research projects in engineering. He also served as a Graduate Teaching Assistant at Purdue University from 2019 to 2021, where he supported the educational development of students in engineering courses.
Technical Skills and Interests
Stanley Scott Dye possesses skills in several programming languages, including C, C++, MATLAB, and Python. He has expertise in image processing using OpenCV and has a strong interest in automatic control systems. These skills and interests enhance his capabilities as a DSP Engineer.