Welcome to my personal website! I am a Ph.D. candidate at the Department of Computer Science, Johns Hopkins University. My work focuses on computer vision and surgical robotics. Feel free to explore my research, projects, and publications!
I am currently Ph.D. candidate at the Department of Computer Science, Johns Hopkins University. My research interests include:
- [Robust low-level processing of surgical videos]
- [Robust high-level analysis of surgical videos]
- [Robust Surgical Automation]
My mission is to develop a digital twin-based framework that relies on robust low-level processing of vision perceptions to ensure the robustness of high-level surgiacl analysis and automation.
Below are some of my selected publications and ongoing projects. For a full list, visit my Google Scholar profile.
Towards Robust Automation of Surgical Systems via Digital Twin-based Scene Representations from Foundation Models
Submitted to ICRA 2025, paper link.
Towards Robust Algorithms for Surgical Phase Recognition via Digital Twin-based Scene Representation
Submitted to IPCAI 2025, paper link.
Performance and Non-adversarial Robustness of the Segment Anything Model 2 in Surgical Video Segmentation
Accepted by SPIE2025, paper link.
SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge
MICCAI2024 EndoVis Challenge, paper link and challenge website.
Published in IPCAI2023, paper link.
Published in MICCAI2022, paper link.
Digital twins as a unifying framework for surgical data science: the enabling role of geometric scene understanding
Published in Artificial Intelligence Surgery, paper link.
Published in ICCV2021, paper link.
Published in CVPR2021, paper link.
Feel free to reach out to me via:
- Email: [email protected]
- LinkedIn: Hao Ding
- GitHub: hding2455
Thank you for visiting my website. For feedback or inquiries, don’t hesitate to contact me!