Lin Junyang

Director of Hardware Algorithm ASIC & FPGA at Innovusion

Lin Junyang has worked in the tech industry since 2010. Lin began their career at Alcatel-Lucent Shanghai Bell as an Electronics Engineer, where they worked on the Auto Train Control and Protection (ATCP) signaling system development and certification (SIL4). Lin then moved to China Aerospace in 2012, where they worked as a System Engineer on the C919 Integrated Modular Avionics (IMA) system platform development, high safety and reliability system technologies, processes and standards, and Reliable Computing technology R&D. In 2016, they joined Huawei as a Senior Researcher. In 2018, they became a Staff Research Engineer and Scientist at United Technologies Research Center, where they were the technical lead of research and engineering in areas of FPGA/SoC/ARM/Linux, Electronics, Embedded Systems, Embedded Machine Learning & Deep Learning. In 2019, they joined IC Legend Micro as IC Algorithm Director and Leader of Algorithm Department, where they were responsible for Radar Signal Processing, Data Processing, Image processing and AI Algorithms. Lin currently works at Innovusion as Director of Hardware Algorithm ASIC & FPGA.

Lin Junyang obtained their Bachelor's degree in Electronic Science and Technology from the University of Science and Technology of China from 2001-2005. From 2005-2010, they obtained their Doctoral degree in Signal and Image Processing; Astrodynamics Instrumentation from the University of Chinese Academy of Sciences. Lin also has certifications in millimeterWave Radar, Lidar, ASIC & FPGA, ARM, SoC, functional safety, as well as programming languages such as C/C++, Python, MATLAB, Verilog, VHDL; Keras, Tensorflow; OpenCV.

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Shanghai, China

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Innovusion

Innovusion was founded in 2016 and has core R&D teams in Sunnyvale, California, USA and Suzhou, China. It is the world's leader in image-grade long-range LiDAR (Light Detection and Ranging) sensor systems for autonomous driving markets. Its products can also be widely applied in smart transportation, smart highway, rail as well as smart mining etc,. The products for autonomous driving have been proven to pass automotive-grade and meet the requirements for L3+ autonomous driving. Currently NIO, a premier designer and developer of smart, high-performance electric vehicles, has selected Falcon LiDAR for the autonomous vehicle, Model ET7. Innovusion has also started global cooperation with many giants of smart transportation, highway, rail and smart mining using its products due to competitive cost and high quality.


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51-200

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