Matthew Dallmeyer
About Matthew Dallmeyer
Matthew Dallmeyer is a Research Engineer at Applied Research Solutions in Dayton, Ohio, where he has worked since 2017. He holds a BS in Computer Engineering and an MS in Electrical Engineering from the University of Dayton, and has extensive experience in digital logic design, FPGA development, and various programming languages.
Work at Applied Research Solutions
Matthew Dallmeyer has been employed as a Research Engineer at Applied Research Solutions since 2017. He operates within the Dayton, Ohio area, contributing to various projects and initiatives over his seven years with the company. His role involves applying his engineering skills to research and development tasks, focusing on innovative solutions in technology.
Education and Expertise
Matthew Dallmeyer holds a Bachelor of Science degree in Computer Engineering from the University of Dayton, which he completed from 2001 to 2005. He furthered his education by obtaining a Master of Science in Electrical Engineering from the same institution in 2014. Additionally, he studied at the Air Force Institute of Technology-Graduate School of Engineering & Management, enhancing his technical knowledge.
Background
Matthew Dallmeyer has a diverse professional background in engineering. He began his career as a Co-Op in Automotive Electronics at Motorola Solutions in 2003. He then interned in Production Engineering at YSI in 2004, followed by a position as a Research Assistant at the University of Dayton from 2004 to 2006. He worked as a Hardware Engineer at Northrop Grumman Information Systems from 2008 to 2017 before joining Applied Research Solutions.
Technical Skills and Proficiencies
Matthew Dallmeyer possesses extensive technical skills, particularly in digital logic design and simulation. He is proficient in various programming languages, including C, C++, Java, C#, Python, and TCL, which he utilizes for data analysis and scripting. His expertise extends to FPGA development, specifically using Xilinx tools and gigabit transceivers, as well as C programming on the embedded MicroBlaze CPU. He is also skilled in MATLAB, focusing on digital signal processing and parallel processing.