Xiao Zhu
About Xiao Zhu
Xiao Zhu is a Senior Electrical Software Engineer at Mitsubishi Logisnext Americas Inc. with extensive experience in vehicle telematics systems, IoT solutions, and vehicle electrical testing.
Title
Xiao Zhu holds the title of Senior Electrical Software Engineer at Mitsubishi Logisnext Americas Inc., based in the Greater Chicago Area.
Professional Experience
Xiao Zhu has Extensive professional experience in the field of electrical and software engineering. Zhu currently works at Mitsubishi Logisnext Americas Inc. In past roles, Zhu worked at Cummins Inc. as a Telematics Systems Engineer for two months in 2020. Before that, Zhu was employed by DSA Daten- und Systemtechnik GmbH and DSA Systems, Inc. as a Diagnostic Application Software Engineer. Earlier roles include a Software Engineering Internship at Magna International, Graduate Student Ambassador and College Positive Volunteer at Western Michigan University, and an Electrical Engineering Internship at China Mobile. Zhu's career began as a Research Assistant at Fujian Normal University.
Education and Expertise
Xiao Zhu has received a robust education in electrical engineering. Zhu earned a Master's Degree in Electrical Engineering from Western Michigan University, where Zhu studied from 2014 to 2016. Prior to that, Zhu completed a Bachelor's Degree in Electrical, Electronics, and Communications Engineering from Fujian Normal University, spanning from 2010 to 2014. Zhu's expertise includes vehicle telematics, IoT solutions, vehicle electrical testing, and ECU diagnostics. Zhu is knowledgeable in CAN/LIN network, UDS(ISO-14229), CAN Transport(ISO-15765) protocols, and ODX(ISO-22901). Additionally, Zhu possesses skills in vehicle dynamics, vehicle control, and model-based software design and simulation using MATLAB, Simulink, Stateflow, and dSpace TargetLink.
Technical Skills and Projects
Xiao Zhu specializes in several critical technical areas and has participated in impactful projects. Zhu developed proof of concept for remote diagnostics for lift trucks using Azure SDKs on a Raspberry Pi. Zhu has worked extensively on vehicle telematics systems and IoT solutions, including the research and development of a remote truck tool using Azure IoT Edge architecture and the Yocto Project. Other technical skills include solid programming abilities in C, CAPL, and Python. Zhu has created software requirements for key telematics system electrical components and designed End-to-End testing for such systems between the Portal (Cloud) and vehicles. Additionally, Zhu has developed data analysis software tools for processing and visualizing vehicle CAN and other test data using Matlab and Python.