Shicong M.
About Shicong M.
Shicong M. is a Software Engineer III at TuSimple, where he has worked since 2022. He has a strong background in computer vision and robotics, with experience in research and development roles at various academic and industry institutions.
Work at TuSimple
Shicong M. has been employed at TuSimple as a Software Engineer III since 2022. In this role, he is involved in developing software solutions for autonomous driving technologies. Prior to this position, he worked as a Research Engineer I at TuSimple from 2021 to 2022, contributing to various research projects. His initial experience at TuSimple began in 2020 when he served as a Research Engineer for a brief period of three months.
Education and Expertise
Shicong M. holds a Master's degree from Georgia Institute of Technology, where he studied from 2017 to 2020. His academic focus included Computer Vision, Robot Perception, and SLAM. He also earned a Bachelor's degree in Electrical and Electronics Engineering from China University of Geosciences, completing his studies from 2013 to 2017. His educational background supports his expertise in software development and optimization algorithms.
Background in Research and Teaching
Shicong M. has a substantial background in research and teaching. He worked as a Research Assistant at Georgia Institute of Technology from 2018 to 2020, where he contributed to projects in the Borg lab. Additionally, he served as a Teaching Assistant for courses CS3630 and CS4475/6475 during his time at Georgia Tech. His experience also includes a five-month position as a Research Assistant at The Hong Kong University of Science and Technology in 2018.
Technical Contributions and Projects
Shicong M. has made significant technical contributions in the field of robotics and software engineering. He implemented an end-to-end system design for a pipeline that integrates user operation UI, database management, and visualization tools. He developed a multisensor pose graph optimization pipeline that incorporates IMU, LiDAR, and camera data. His work also includes designing a graph-based optimization algorithm and deploying pipelines using Kubernetes and AWS S3 for data management.