Research & Education

Deep Reinforcement Learning for Cardiac CT-Fluoroscopy Registration - 11/2023

**Engineering Master Thesis

University of Western Australia & Liryc, de Bordeaux, France**

• Developed a deep reinforcement learning model using PyTorch to register 6DOF cardiac CT images with fluoroscopy images.
• Registration of 3D CT images with 2D fluoroscopy images, using a custom-designed algorithm, implemented with Python and PyTorch.
• Acquired 90% success rate in registering images, improving the accuracy of cardiac procedures.
• Collaborated with CHU de Bordeaux, France, and the UWA Medical Imaging Physics Group, using CARTO EP files.

SMART BOOT

Assistive Smart Orthopedic Sensor Device - 08/2022

Medical Device Design Project with BioDesign (UWA)

• Constructed Gait-Force frequency Algorithm Development using non-linear differential equation modeling, implemented with Python.
• Engaged in signal engineering & sensor design. Focused on high bandwidth data optimization. Developed a biosensor area monitoring system.
• CoLed the clinical prototype Development, including the regulatory & patent application process.