My Resume

My Resume

Xiao, Wenbo (肖文博) pdfCV

Education

Graz University of Technology (Graz, Austria ) Sep. 2023 - Present

  • Degree: Dipl.-Ing. in Mechanical Engineering (Double Master Program)
  • Relevant Courses: Vehicle Dynamics, Automated Driving, Embedded Mechatronic Architectures, Electric Vehicles and E-Mobility Systems

Tongji University (Shanghai, China ) Sep. 2022 - Present

  • Degree: Master of Engineering; Institute of Intelligent Vehicles
  • Relevant Courses: Machine Learning, Optimization Theory and Methods, Automated Driving and Perception, Model Predictive Control, Vehicle System Dynamics, Matrix Theory

Tongji University (Shanghai, China ) Sep. 2017 - June. 2022

  • Degree: Bachelor of Engineering in Vehicle Engineering GPA: 4.4/5.0
  • Relevant Courses: Automotive Engineering, Automotive Design Theory, Automatic Control Theory, C/C++ Programming, Computer Hardware Technology, Theory of Machines and Mechanisms, Linear Algebra

Experience

Institute of Automotive Engineering, Graz University of Technology

Research Assistant, Validation and Verification of ADS Sep. 2023 — Present

  • Responsibilities: Virtual validation of automated driving systems.

Institute of Intelligent Vehicles, Tongji University

Research Assistant, Safety and Comfort of ADS Jan. 2022 — Sep. 2023

  • Responsibilities: Research related to SOTIF of automated vehicle and scenario-based testing methods. Studies related to subjective discomfort evaluation of vehicle occupants.

Tongji DIAN Racing Team

Chassis Engineer & Team Leader Oct. 2018 — Dec. 2021

  • Responsibilities (2018-2020 Chassis Engineer): As a suspension engineer, design, manufacture and assembly of suspension systems for electric race car DRe20. Testing, data acquisition and chassis tuning of DRe19 and DRe20.
  • Responsibilities (2020-2021 Team Leader): Team management, project coordination and technical supporting (design, manufacturing, testing, and competition of DRe21), sponsorship and finance management.
  • Achievements: We won overall champion in FSEC 2020, ranked overall no.4 in FSEC 2021.

Projects

GNN-Based Scenario Classification (Ongoing, Master Thesis), FTG of TU Graz

Graph Neural Networks, Driving Scenario Classification, Transfer Learning

  • Objective: Pre-training GNN to embed scenario graph sequence into vector based on open source driving database. Training scenario classification model based on the pre-trained model and small amount of labeled scenarios.

Chat2Scenario: Scenario Extraction Tool, FTG of TU Graz

Scenario-based Testing， Large Language Model，Project Link

  • Objective: Utilizing LLM for understanding user input, and automatically retrieving scenarios from dataset based on user requirements.
  • Responsibilities: Method framework construction, scenario retrieving function coding (Python).
  • Achievements: Conference paper, IEEE IV 2024 accepted.

Research on Occupant Subjective Discomfort, Tongji University - SAIC Motor Ltd.

Discomfort measurement, Data Analysis, Naturalistic Driving Studies (NDS)

  • Responsibilities: Using statistical methods to study subjective discomfort based on NDS data, including driving scenario data, subjective occupant feedback, and objective physiological recordings.
  • Achievements: SAE technical paper, SAE 2022 Intelligent and Connected Vehicles Symposium accepted.

Skills

  • Programming Language: Python, C/C++, Matlab & Simulink
  • Software & Tool: Git, PyTorch, ADAMS Car, Vires VTD, Catia, Solidworks
  • Others: Project Management, Documentation, Good Comunnication Skills

Achievements

  • University Student Standards Innovation Competition 2022 Second Prize
  • Scholarship of Excellence in 2021 academic year Third Prize
  • Formula Student Electric China 2020 Overall Championship
  • Scholarship of Excellence in 2020 academic year Third Prize
  • Scholarship of Excellence in 2019 academic year Second Prize
  • Scholarship of Excellence in 2018 academic year Second Prize
  • Entrance Scholarship for Outstanding Freshman in 2017

Research & Publications