JOANNA MAPEL, MS, is a field applications engineer at Avnet, where she provides technical guidance and strategic solutions to customers integrating AMD/Xilinx FPGA products into high-performance compute and embedded systems. With a background in FPGA and embedded systems engineering, she specializes in the design, verification, and deployment of high-reliability digital systems across aerospace, defense, and cutting-edge AI acceleration applications.
Mapel's passion lies at the intersection of signal processing, embedded systems, and hardware-accelerated machine learning. She recently focused on deploying real-time object detection pipelines on both GPU and FPGA platforms to enable next-generation intelligent systems.
She earned a Master's degree in Engineering from The Johns Hopkins University, and a bachelor's degree in Engineering from University of Pittsburgh.
An advocate for innovative hardware design, she enjoys collaborating with engineers and researchers working on advanced compute architectures, AI at the edge, and mission-critical embedded platforms.