Brian Reagan, P.E.
About Brian Reagan, P.E.
Brian Reagan, P.E. is an Electrical Power Systems Engineer with extensive experience in power monitoring, control, and data acquisition systems. He has worked at various organizations, including Oak Ridge National Laboratory, Mesa Associates, Inc., and Schneider Electric, and holds a BSEE from Tennessee Technological University.
Work at Oak Ridge National Laboratory
Brian Reagan currently serves as an Electrical Power Systems Engineer at Oak Ridge National Laboratory. He has held this position since 2019, contributing to various projects related to electrical power systems. His role involves applying his expertise in power monitoring and control, which are essential for the efficient operation of electrical systems.
Previous Experience at Mesa Associates, Inc.
Before joining Oak Ridge National Laboratory, Brian Reagan worked at Mesa Associates, Inc. as a Substation P&C Engineer from 2013 to 2019. During his six years in this role, he focused on protection and control systems for substations, enhancing the reliability and safety of electrical infrastructure in Knoxville, Tennessee.
Experience at Schneider Electric
Brian Reagan's career includes a four-year tenure at Schneider Electric, where he worked as a Staff Application Engineer from 2006 to 2010. In this position, he developed applications related to electrical systems, leveraging his knowledge to improve system performance and reliability.
Education and Expertise
Brian Reagan earned a Bachelor of Science in Electrical Engineering (BSEE) from Tennessee Technological University, completing his studies from 2000 to 2004. His education laid the foundation for his expertise in data acquisition systems and the design of PLC and HMI systems, which are critical for industrial automation and control processes.
Technical Skills
Brian Reagan possesses specialized skills in power monitoring and control, vital for ensuring the safe operation of electrical systems. His expertise extends to data acquisition systems, which are essential for collecting and analyzing data in various engineering applications, enhancing operational efficiency.