Mr. Xiaoyin Zheng, XMotors.ai, United States
Mr. Xiaoyin Zheng is a skilled Computer Vision Algorithm Engineer at XMotors.ai, where he focuses on integrating deep learning for advanced cabin monitoring and driver state analysis. With an M.S. in Engineering Technology from Purdue University and a Bachelor’s in Automotive Engineering from Wuhan University of Technology, Xiaoyin excels in Python, C, C++, and MATLAB/Simulink. His technical expertise encompasses computer vision and deep learning, particularly in object classification, detection, and tracking. Xiaoyinās notable research includes autonomous vehicle simulators and lithium battery estimation, and he has achieved recognition with a first prize at the GM Tech Center competition. Additionally, his experience as a Graduate Teaching Assistant at Purdue University underscores his dedication to advancing engineering education and technology.
š Professional Profile:
š Education:
Xiaoyin Zheng earned his M.S. in Engineering Technology from Purdue University, specializing in robotics and self-driving technology. He also holds a Bachelor’s in Automotive Engineering from Wuhan University of Technology.
š¬ Technical Skills:
Xiaoyin is proficient in Python, C, C++, and MATLAB/Simulink. His expertise includes computer vision and deep learning, with a focus on object classification, detection, segmentation, tracking, and model acceleration.
š¼ Professional Experience:
Xiaoyin is currently a Computer Vision Algorithm Engineer at XMotors.ai, where he integrates deep learning into cabin monitoring systems and improves driver state monitoring through advanced data processing. Previously, he interned as a Mechanical Engineer at Along Aircraft Manufacturing Company, where he worked on airplane mechanical parts and fly test approvals.
š¬ Research Experience:
His research includes developing simulators for autonomous vehicle dynamics and lithium battery state-of-charge estimation using extended Kalman filtering. He also contributed to designing a foldable personal mobility device, winning first prize at the GM Tech Center competition.
š Teaching Experience:
As a Graduate Teaching Assistant at Purdue University, Xiaoyin taught Automated Manufacturing Processes and Applied Statics, guiding students in CNC operations, CAD design, and fundamental engineering concepts.
š Achievements:
Xiaoyin’s innovative work in robotics and autonomous systems, coupled with his successful research and teaching roles, highlights his commitment to advancing engineering technology and education.
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