Kevin Qu

Kevin Qu

Doctoral Researcher

Imperial College London

Kevin joined the Transport Systems and Logistics Laboratory (TSL) at Imperial College London in October 2023 as a PhD student. His research is centered around developing efficient and robust algorithms for collaborative autonomous driving, with a specific focus on human-driver behavior prediction and the integration of autonomous driving in mixed traffic and urban environments. Kevin is also a member of the Imperial-TUM Joint Academy of Doctoral Studies (JADS).

Kevin holds an MSc in Operations Research and Data Science, awarded with distinciton, and a first-class BEng in Mechanical Engineering, both from the University of Edinburgh. Before starting his PhD, Kevin worked as a research assistant from 2021 to 2022. In this role, he applied machine learning techniques to structural health monitoring of offshore wind turbines, focusing on environmental and operational variability.

Interests
  • Behaviour Prediction
  • Multi-Agent Reinforcement Learning
  • Collaborative Autonomous Driving
Education
  • MSc in Operations Research with Data Science, 2023

    University of Edinburgh

  • BEng in Mechanical Engineering, 2021

    University of Edinburgh