CV

Education

• George Mason University (GMU), Ph.D. in Electrical and Computer Engineering, Fairfax, VA
  Aug 2022 – Present
  GPA: 3.97/4.0   Advisor: Prof. Xuan Wang
  Research Focus: SLAM & Perception (Multi-robot SLAM, VIO, Multi-Sensor Fusion, 3-D Gaussian Splatting); Robotics & Control (Multi-robot system, Reinforcement Learning, Locomotion, State Estimation, Optimal Control).

• University of California, Riverside (UCR), Master in Electrical and Computer Engineering, Riverside, CA
  Sept 2020 – Jun 2022
  GPA: 3.95/4.0   Advisor: Prof. Wei Ren
  Research Focus: Sensor Fusion, SLAM, State Estimation.

• University of California, Riverside (UCR), Graduate Preparation Program in Engineering, Riverside, CA
  Aug 2019 – Jun 2020
  GPA: 3.7/4.0

• Hangzhou Dianzi University (HDU), BE in Electrical Engineering and Automation, Hangzhou, China
  Sept 2016 – Jun 2020
  GPA: 85/100

Research Experiences

• University at Buffalo — Visiting Student Researcher, SAIR Lab (sairlab.org), Advisor: Prof. Chen Wang, Buffalo, NY
  Apr 2025 – Present
  • Reinforcement learning for quadruped locomotion and control.
  • Whole-body loco-manipulation for legged robots with robotic arms.
  • Visual-inertial-lidar SLAM applied to quadruped localization and perception.
• George Mason University — Research Assistant, MICO Lab (https://mason.gmu.edu/~xwang64/index.html), Advisor: Prof. Xuan Wang, Fairfax, VA
  Aug 2022 – Present
  • Multi-sensor calibration and fusion (IMU, camera, LIDAR, and UWB).
  • Cooperative and consistent multi-robot SLAM and visual-inertial odometry system.
  • NeRF and 3-D Gaussian Splatting–aided SLAM system.
  • Multi-robot coordination, reinforcement learning, imitation learning, and control.
• University of California, Riverside — Research Assistant, COVEN Lab (https://coven.engr.ucr.edu/), Advisor: Prof. Wei Ren, Riverside, CA
  Aug 2020 – Jun 2022
  • Multi-robot State estimation over sensor networks (IMU and UWB).
  • Multi-robot visual–inertial–ranging localization & navigation for drones.
• University of California, Riverside — Research Assistant, RaMS Lab (https://rams.engr.ucr.edu/), Advisor: Jun Sheng, Riverside, CA
  Aug 2019 – Aug 2020
  • Modeling and control of surgical and rehabilitation robots.
  • Soft robots with hydraulic actuation.

Industry Experience

• SLAM Engineer Intern
  Rawmantic AI (youmi-zym.github.io), Supervisor: Dr. Youmin Zhang, Remote
  Feb 2025 – Aug 2025
  • Worked with the group’s Chief Scientist and engineering staff on multi-sensor fusion (IMU, camera, and Lidar) and Gaussian Splatting SLAM, focusing on system design and real-time deployment.
  • Designed and implemented a ROS2-based 3D Gaussian Splatting (3DGS) backend that tightly fuses image, LiDAR, and 6-DoF pose inputs, delivering real-time dense mapping with robust odometry. The pipeline was designed and built from scratch.

Skills

• Programming Languages & Frameworks: C/C++, Python, PyTorch, ROS1/2, MATLAB.
• Frameworks & Libraries: OpenVINS, VINS-Fusion, FAST-LIVO2, NVIDIA Isaac Gym/Sim/Lab, Gazebo.
• Robotics & Control: Reinforcement Learning, Optimal Control, Model Predictive Control (MPC), Trajectory Optimization.
• SLAM & State Estimation: Visual-inertial odometry (VIO), multi-sensor fusion (camera/IMU/LiDAR/UWB), factor graph optimization (GTSAM, Ceres), bundle adjustment (BA), EKF/UKF/InEKF, 3D reconstruction (SfM, NeRF, 3DGS).
• Hardware & Platforms: Sensors (Intel RealSense, Livox Mid-360 LiDAR, IMU, UWB); Robotic Platforms (Unitree Go2 + D1-T arm, Crazyflie nano drone); Embedded/Computing (NVIDIA Jetson Nano, Arduino, STM32).

Talks

Consistent Cooperative Visual-Inertial Navigation based on Matrix Lie Group

July 09, 2025

Talk at State Estimation Section, ACC2025, Denver, CO, USA

D3G: Learning multi-robot coordination from demonstrations

October 03, 2023

Talk at Imitation Learning Section, IROS2023, Detroit, MI, USA

Teaching

GMU EE530 Senior Design Project (Fall 2024)

Service and Leadership

Reviewer for

• Journals:
  • IEEE Transactions on Signal Processing
  • IEEE Robotics and Automation Letters
• Conferences:
  • American Control Conference (2023–2025)
  • IEEE Conference on Decision and Control (2023–2025)
  • IEEE International Conference on Robotics and Automation (2025)
  • IEEE/RSJ International Conference on Intelligent Robots and Systems (2024–2025)
  • IEEE Conference on Control Technology and Applications (2023–2025)