Summary
Work History
Education
Skills
Project Experience
Timeline
Generic

QI XIONG

Sydney,NSW

Summary

Master’s student in Electrical Engineering at UNSW, with a Bachelor’s in Automation. Proficient in MATLAB/Simulink, AutoCAD, and system modeling. Seeking an EE internship in power infrastructure and property to apply distribution network analysis and electrical design skills.

Work History

Electrical Engineering Intern

Shanghai Hangcha Okamura Intelligent Technology Co., Ltd.
Shanghai
03.2024 - 06.2024
  • Conducted simulation modeling using FlexSim for an AGV (Automated Guided Vehicle) logistics system at the Tsingtao Brewery factory in Qingdao.
  • Utilized AutoCAD to support spatial planning and validate the feasibility of equipment deployment.
  • Assisted engineers in optimizing the layout of production lines and AGV routes, improving delivery efficiency, and reducing idle time.

Education

Master of Engineering - Electrical Engineering

University of New South Wales
Sydney, NSW
09-2026

Bachelor of Engineering - Automation

Chang'an University
Xi‘an, China
07-2024

Skills

  • AutoCAD
  • MATLAB
  • Simulation modeling
  • Python coding

Project Experience

Grid Harmonic Detection Design | MATLAB/Simulink (Jun–Jul 2025)

  • Developed a time-domain synchronous-reference detector using Clarke-Park transforms and discrete PI loops
  • Configured digital filters and loop dynamics to ensure robust amplitude, frequency, and phase tracking under harmonics, phase jumps, and voltage sags
  • Automated simulation data logging and MATLAB-based postprocessing for performance validation

UAV-Assisted Wireless Communications Optimization | Python, Gym & Stable-Baselines3

  • Designed and implemented a Gym-based simulation environment in Python to model an aerial base station (ABS) with multi-antenna beamforming.
  • Formulated UAV trajectory and beamforming as an MDP and applied deep RL algorithms (PPO, SAC, DQN via Stable-Baselines3) to jointly optimize flight path and signal transmission.
  • Achieved significant increase in cumulative downlink throughput for N ground users over 200–300 s missions under given speed (10–30 m/s) and power constraints.
  • Visualized results with plots of throughput vs. trajectory, training convergence curves, and baseline comparisons.

Timeline

Electrical Engineering Intern

Shanghai Hangcha Okamura Intelligent Technology Co., Ltd.
03.2024 - 06.2024

Master of Engineering - Electrical Engineering

University of New South Wales

Bachelor of Engineering - Automation

Chang'an University
QI XIONG