Zhihao Xing

Contact: xing.virgil@gmail.com | Student Number: 402256886

Current Research

I am currently pursuing a PhD at the University of Technology Sydney, focusing on SLAM and 3D reconstruction in deformable gastrointestinal environments. My research addresses the challenges of soft-tissue motion, low-texture appearance, and lighting variation in endoscopic navigation. I develop deformation-aware SLAM frameworks that combine photometric optimization, learning-based feature extraction, and active exploration strategies, enabling accurate mapping and localization in dynamic, real-world medical settings.

Education

Bachelor of Engineering (Honours) — Mar 2020 – Nov 2023
Diploma in Professional Engineering Practice
University of Technology Sydney (UTS)
Major in Software Engineering, GPA: 6.18/7 (Distinction)

Doctor of Philosophy — July 2024 – July 2028 (expected)
University of Technology Sydney (UTS)
Supervisor: Prof. Shoudong Huang

Skills

Languages

• Fluent in Mandarin and English

Software Engineering

• Java, Python, Web Development
• REST APIs, MySQL, Unit Testing

Robotics

• SLAM & 3D Reconstruction (GI Endoscopy)
• Computer Vision: ORB, SIFT, SfM
• Machine Learning & Deep Learning for Robotics
• ROS/ROS2, Sensor Integration
• C++ with Eigen3 & Sophus, Graph Optimization
• Point Cloud Recognition and Processing

Transferable Skills

• Quick learner and independent problem solver
• Strong intercultural communication and collaboration skills
• Innovative mindset with leadership experience

Extracurricular Activity

• UTS Tutor (41012) — Feb 2025 – Present
  Tutoring C++ programming for mechatronic systems; guiding students in OOP, ROS, sensors, control logic, and documentation tools.
• UTS Tutor (41014) — July 2024 – Nov 2024
  Taught camera sensor and control systems; supervised projects on visual servoing and visual-based control.

Experience

• UTS Shenzhen + MCC Cisdi — Jan 2024 – Jun 2024
  Scrap Steel Cutting Robot: Developed HMI, digital twin, and point cloud algorithms; system optimization.
• CoordLight-YOLOv5 — Dec 2023
  Presented lightweight object detection for autonomous motorsport at ACRA 2023.
• Capstone – UTS Motorsports — Mar 2023 – Nov 2023
  Team lead for computer vision; developed detection and depth algorithms; published paper.
• Volvo Cars Internship — Nov 2022 – Feb 2023
  Software engineering support in Asia-Pacific HQ; code development and debugging.
• Interchange 2021 — Jul 2021 – Aug 2021
  Third place with "Ozistant" app idea to help newcomers adapt to life in Australia.