CV

Education

PhD student in Computer Science 2019.11 - Now
Max Planck Institute for Intelligent Systems, Tuebingen

Led research projects and developed algorithms for vision-based autonomous navigation.
Published research papers in top-tier conferences.
Researched the integration of physics-based priors, including robot kinematics and dynamics,
with computer vision tasks like VIO and SLAM to enhance pose estimation robustness and accuracy.
Investigated motion model learning and prediction using classical system identification
and deep learning methods, including neural ODEs and generative models.
Developed methods for object tracking and 3D reconstruction using event cameras.

M.S. in Mechanical Engineering 2018.04 - 2019.07
RWTH Aachen University, Aachen

Thesis: Continuous Estimation of Structure-from-Motion, Intensity and Optical Flow with an Event Camera

B.S. in Mechanical Engineering 2013.10 - 2018.03
RWTH Aachen University, Aachen

Thesis: Development of a Method for Exploration and Semantic Mapping of Indoor Environments in ROS

Research intern 2019.01 - 2019.09
Max Planck Institute for Intelligent Systems, Tuebingen

Camera motion estimation with event cameras.
Intensity image reconstruction using non-smooth convex optimization method with event camera data.

Research assistant 2018.01 - 2018.12
Laboratory for Machine Tools and Production Engineering, Aachen

Intern 2016.10 - 2017.03
Robert Bosch GmbH, Rennigen

Programming: C++, Python, ROS, Pytorch, CUDA, Matlab

Research: Computer Vision, VIO, SLAM, Object Tracking, Sensor Calibration, Event Cameras, Deep Learning, Optimization, MPC, Diffusion Models

Intelligent Systems – Computer Vision, SS 2020, University of Tuebingen

Visual Perception and Learning for Robotics, WS 2022, University of Tuebingen

Reviewer: ICRA, IROS, RA-L, T-RO

Chinese: Native
English: Fluent
German: B2