My research interests lie in Surgical Navigation, Medical Image Processing and Robotics.

My graduate research focused on the development of an AR-based surgical navigation system for spine surgery, aimed at improving intraoperative visualization and navigation accuracy. The work encompassed the calibration of HoloLens with Polaris (an optical surgical tracking system), registration between real and virtual anatomical models, and the generation of optimized 3D anatomical reconstructions from DICOM data through deep learning–based automatic spine segmentation.

I gained extensive experience in medical image processing during my graduate studies at Shanghai Jiao Tong University, beginning in 2019. Throughout this period, I developed strong expertise in OpenCV, medical image processing with ITK, visualization using VTK, and software development with Qt. Building upon these foundations, I further expanded my skill set into Deep Learning for medical image analysis. Concurrently, I strengthened my programming proficiency in both C++ and Python, which have become my primary development languages.

My interest in robotics originated during my undergraduate studies, where I actively participated in a wide range of robotics projects and competitions. My experience spans diverse robotic platforms, including a self-designed and 3D-printed rehabilitation robotic arm, the Rethink Baxter collaborative robot, ABB industrial robots, unmanned aerial vehicles (UAVs), and automated guided vehicles (AGVs). Through these projects, I developed expertise in mechanical design, control systems, and PCB design, while gaining hands-on experience in the integration of hardware and software for robotic applications.

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