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General Information

Full Name Ziwen Lu
Languages Mandarin, English

Education

  • 2021 - 2027
    PhD Computer Science
    University College London
  • 2017 - 2018
    MSc Robotics and Computation
    University College London
  • 2013 - 2017
    BEng Electrical and Electronic Engineering (First Class Honours)
    University of Nottingham
    • Foundation year and first year of study at the University of Nottingham Ningbo China campus.

Experience

  • 2026 - Now

    London, UK

    Lecturer (Teaching) in Robotics and AI
    University College London
    • Module lead for Computer Vision and Sensing, and COMP0219 Sensors, Sensing and Signal Conditioning.
    • Module co-lead for COMP0250 Robot Sensing, Manipulation and Interaction.
    • Supervision of MSc students on industrial projects.
  • 2024 - 2026

    London, UK

    Associate Lecturer (Teaching)
    University College London
    • Module lead for COMP0241, developing new content for the newly launched MSc programme at UCL East. Coordinated 3 PGTAs for 73 students and received highly positive feedback.
    • Module co-lead for COMP0219, preparing and delivering material and assessment.
    • Supported COMP0217 by developing lab sessions and the final project. Established the motion-capture software workflow and trained lab technicians to collect the final-project dataset with ground truth.
  • 2020 - 2024

    London, UK

    Postgraduate Teaching Assistant
    University College London
    • Robot Vision and Navigation (COMP0130) for sensor fusion and SLAM.
    • Virtual Environments (COMP0113, from 2021) collaborative VR experience design and development under Unity with Ubiq.
    • Systems Engineering (COMP0016) (2022-2023)
    • Machine Vision Engineering (COMP0137) (2023-2024)
    • Extensively involved in the supervision of master student projects in MSc Robotics and Computation from 2019, including sparse SLAM with prior maps, semantic segmentation, path planning, lens calibration, and structure from motion.
  • 2019 - 2022

    London, UK

    Research Assistant
    University College London
    • Integration and experimentation of the Robotnik VOGUI platform with the OptiTrack system for an autonomous construction pick-and-place task with a UR-10e robotic arm on the mobile platform, including gripper integration with the UR-10e arm (2021-22).
    • Implementation and experimentation of the ROS navigation stack on a custom-designed tricycle autonomous guided vehicle (AGV).
    • Evaluation of various depth sensors for obstacle avoidance and visual SLAM.
    • Design and implementation of an automated testing/calibration tool-chain for robot path-planning and control based on the OptiTrack system.
    • Increased AGV docking accuracy to the set target, and introduced new functions including smooth path planning and obstacle avoidance.
    • Design and implementation of an autonomous surveying pipeline using a FARO laser scanner and wheeled robot base.
    • Investigation of methods for vision-based Simultaneous Localization and Mapping (SLAM) with prior and semantic information.
    • Quarterly deliverable presentations and demos to the funding monitoring officer.
    • Supervision of master student projects in MSc Robotics and Computation, including SLAM, robot exploration, and lens calibration.
  • 2018 - 2019

    London, UK

    Robotics Engineer
    Mo-Sys Engineering Ltd
    • Investigation, construction, and validation of prototype AGV hardware and software.
    • ROS control integration of the AGV prototype and ROS wrapper for the in-house optical tracking system.
    • Implementation of a feature extraction algorithm for lens calibration, focusing on efficiency optimization and testing of alternative segmentation methods.
    • Post-processing and quality analysis of optical tracking system performance.
    • Investigation and validation of a low-cost optical-inertial tracking system for camera tracking.
    • Onsite installation of the optical tracking system and Unreal Engine integration; product demonstration and customer support.
    • Quarterly deliverable presentations and demos to the funding monitoring officer.
  • 2016

    Lichfield, UK

    Electronic Intern
    IMI Precision Engineering
    • Developed an automated test and data collection system for a new railway product using LabVIEW and NI DAQ devices.
    • Reviewed product firmware and built unit test cases using the Unity test framework and CMock mocking framework.

Professional Training

  • 2025
    Leading Engineering Curriculum Transformation: An Integrated Engineering Approach (UCL CEE short course)
  • 2024
    UCL Arena for Lecturers on Probation (ALP)
  • 2022
    UCL Arena: Core Teaching Skills