My research interests lie in three medical-related areas: Augmented Reality, Medical Image Processing and Robotics.

My graduate thesis focused on AR-based surgical navigation system, which is targeted at providing a high-quality visualization and an accurate navigation during the spine surgery. This includes the calibration between HoloLens and Polaris (a surgical tool tracking device), the registration between real and virtual models and the optimized 3D reconstructed models from DICOM by using deep learning for automatic image segmentation.

I gained most of my experience in medical image processing at Shanghai Jiaotong University as a graduate student from year 2019. I acquired skills of OpenCV, image visualization (VTK), medical image processing (ITK), software development (Qt) and then delved into Deep Learning. Concurrently, I progressed my coding skills using C++ and Python.

As to robotics, it is with strong enthusiasm that I have participated in many related activities during my undergraduate study. I have extended my interests to various types of robots, including my 3d-printed rehabilitation robotic arm, the Rethink Baxter (a cobot), ABB industrial robots, UAV and AGV. I developed my skills not only in controls mechanical design but also in controls and PCB designing as well.

Here you can find projects relevant to my ongoing and previous research in details.

And I also provide my CV which summarizes all these projects by time.