Qianjun Xia is an M.S. student in Mechanical Engineering (Research Track) at Columbia University, concentrating on robotics and control. His current research in the Creative Machine Lab, advised by Jiong Lin and Hod Lipson, focuses on video-based parameter estimation for deformable objects & soft robotics and generative model in mechanism design.

Before coming to Columbia, Qianjun earned his Bachelor’s degree in Mechanical Engineering at Shanghai Jiao Tong University (SJTU), where he was advised by Prof. Dong Wang. He worked on magnetic-wire-guiding robots for minimally invasive surgery involving mechanical design, control, and elastic–rod modeling.

His broader interests lie in robot learning, physics-based simulation and 3D computer vision.

Education

Columbia University
M.S., Mechanical Engineering (Robotics and Control)
Sep 2024 – Present  GPA: 4.12/4.0

Shanghai Jiao Tong University
B.S., Mechanical Engineering; Double Major in Mathematics and Applied Mathematics
Sep 2020 – Jun 2024  GPA: 82.76/100

Internship

Shanghai ABB Engineering Co., Ltd
Vision Algorithm Intern
Jun 2023 – Sept 2023

• Assisted in developing computer vision algorithms for industrial robotic inspection.
• Worked on detection and segmentation pipelines for manufacturing scenes.