CV

More detailed documents about me can be found here!

Education

M.E. in Intelligent Transportation, University of Groningen

September 2021 - June 2024

M.E. in Mechanical Engineering, University of Science and Technology Beijing

September 2021 - June 2024

B.E. in Mechanical Engineering, University of Science and Technology Beijing

September 2017 - June 2021

Exchange Student in Mechanical Engineering, National Taipei University of Technology

September 2019 - January 2020

Publications

1. A Novel Integrated Deep Reinforcement Learning Approach with Trajectory Optimization for Mining Autonomous Truck Dispatch

Shuwei Pei and Jue Yang. Submitted to Journal of Intelligent Transportation Systems, 2023

2. Multi-Objective Velocity Trajectory Optimization Method for Autonomous Mining Vehicles

Shuwei Pei and Jue Yang. Accepted by International Journal of Automotive Technology, 2023

Research Experience

1. Multi-agent Reinforcement Learning-Based Fleet Dispatching

August 2023 - June 2024

2. The Electric Autonomous Truck Without Cabin

December 2022 – April 2024

3. Multi-Objective Optimal Speed Trajectory of Vehicle

May 2022 – May 2023

4. Theoretical Research on Autonomous Vehicles Based on ROS2

September 2022 – January 2023

Working Experience

1. National Innovation Center of Intelligent and Connected Vehicles Beijing, CHN

Intern in Industry Analyst June 2024 - August 2024

2. China National Heavy Duty Truck Group Co., Ltd. Jinan, CHN

Intern in Light Truck July 2022-September 2022

3. German Association of the Automotive Industry Beijing, CHN

Intern in China Office September 2020 - December 2020

4. Midea Group Co., Ltd. Foshan, CHN

Intern in Lean Management June 2020 - August 2020

Awards & Honors

Selected Courses

Postgraduate:

Operational Research (82), Mathematical Modeling (92), Modern Control Theory (90), Signal Analysis and Processing (86), Intelligent Algorithm (92), Vehicle System Dynamics (87), Equipment Fault Diagnosis Technology (83), Special Vehicle Design (88), Intelligent Technology of Engineering Vehicle (87), Digital Image Processing (88).

Undergraduate:

Calculus AI (92), Engineering Physics BI (93), Calculus AII (93), Theoretical Mechanics A (98), Thermal Engineering (92), Engineering Physics BII (93), Mechanics of Materials (90), Probability & Mathematical Statistics A (92), Measuring and control experiment (92), Automatic Control Theory (97), Mechanical Design (90), Principles and Applications of Microcomputers (99), Automatic Transmission (95).

Skills

References

Dr. Saeed Ahmed

Prof. Jue Yang

Prof. Xinxin Zhao