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Basics

Name Jiawei Fu
Label Ph.D. Student
Email jif017@ucsd.edu
Url https://jayefu.github.io/
Summary A Ph.D. student interested in machine learning and robotics

Education

  • 2024.09 - Present

    La Jolla, California

    University of California San Diego
    Ph.D., 3.917/4.0
    Computer Science and Engineering
  • 2022.12 - 2024.02

    Lausanne, Switzerland

    EPFL
    Exchange Student, 6.0/6.0
    Computer Science
  • 2020.09 - 2024.02

    Zurich, Switzerland

    ETH Zurich
    M.Sc., 5.76/6.0
    Robotics, Systems and Control
  • 2016.09 - 2020.06

    Beijing, China

    Tsinghua University
    B.Eng., 3.82/4.0 (ranked 1st in the elite program)
    Mechanical Engineering (Elite Program)
  • 2019.01 - 2019.05

    Singapore

    National University of Singapore
    Exchange Student, 5.0/5.0
    Mechanical Engineering

Publications

Awards

Work

  • 2024.03 - 2024.05

    Lausanne, Switzerland

    Research Assistant
    EPFL
    Visual Intelligence and Learning Lab
    • Supervisor: Prof. Amir Zamir
    • Implemented co-design algorithms of photoreceptors and control policy for indoor navigation in Habitat
    • Deployed the control policy with an optimized mechanical design on a TurtleBot4 robot
  • 2023.07 - 2023.09

    Lausanne, Switzerland

    Summer Intern
    EPFL
    Visual Intelligence and Learning Lab
    • Supervisor: Prof. Amir Zamir
    • Implemented co-design algorithms of photoreceptors and control policy for indoor navigation in Habitat
    • Deployed the control policy with an optimized mechanical design on a TurtleBot4 robot
  • 2022.04 - 2022.09

    Saarbrücken, Germany

    Research Intern
    MPI-INF
    Vision for Autonomous Systems Group
    • Supervisor: Prof. Dengxin Dai
    • Built a multi-sensor system for autonomous driving, containing cameras, LiDARs, GPS, and event cameras
    • Implemented a data collection pipeline including synchronization, calibration, and post-processing
  • 2021.09 - 2022.03

    Zurich, Switzerland

    Research Intern
    University of Zurich
    Robotics and Perception Group
    • Supervisor: Prof. Davide Scaramuzza
    • Developed a sensorimotor policy with policy distillation for autonomous drone racing
    • Achieved robust racing performance against various visual disturbances with contrastive representation learning

Skills

Programming
Python
C++
PyTorch
Docker
Git
ROS
ROS2
Hardware
Mechanical Design
Circuit Design
Multi-device Synchronization
Arduino
Raspberry Pi
Jetson Nano/TX2/Xavier

Languages

Mandarin
Native speaker
English
Fluent (TOEFL: 107/120)