Axon Pulse
Maor Agai is a Deep Learning Researcher at Axon Pulse, focusing on the application of machine learning and classical digital signal processing algorithms to address various RF radar challenges since March 2022. Previously, Maor served as an Engineering Intern at Western Digital, utilizing DSP and statistical analysis on 3D NAND arrays from December 2020 to February 2022. Prior experience includes working as an Analog Board Designer at Rafael Advanced Defense Systems, where responsibilities involved R&D analog/mixed signal board design for RF modems and high-speed ADCs, DACs, and clocks from October 2015 to March 2018. Maor began the professional career in the Israeli Air Force as an RF and FPGA practical engineer, engaged in PCB and FPGA design and VHDL development from June 2011 to June 2014. Maor holds a Bachelor's degree in Applied Mathematics from Bar-Ilan University (2018-2021) and a degree in Practical Engineering in Electrical and Electronics Engineering from ORT Colleges (2010-2011).
Axon Pulse
Axon Pulse is a next-generation radar signal processing engine. They improved detection, resolution, and separation, tracking and radar sensitivity and range. Their deep learning techniques, which unearth hidden information in the radar signals, surpass traditional radar algorithms and greatly enhance the perception of radar.