Sensor simulation, Gaussian splatting, Diffusion model.

Worked on advanced tomographic imaging in Dr. Anastasio's lab. The major focus of this research included:

1. PDE-constrained differentiable optimization: Full-waveform inversion, time-of-flight tomography.

2. Realistic imaging simulations: Modeling realistic 3D breast phantoms and developing more accurate, physics-based imaging system models.

3. High-performance computing applications: Implementation and optimization for large-scale simulations.

CUDA || C++ || Python || Imaging || Scientific Computing || HPC || Acoustic Simulations || Inverse Problems || Deep Learning

Working on photon-counting CT imaging algorithm

• Worked with Philips Healthcare, Suzhou, China. Implemented radiotherapy planning prediction software on Philips IntelliSpace Discovery system.

• Worked on automated Nasopharyngeal Carcinoma segmentation.

Image processing || Deep learning || Image registration

• Worked at Computational Medical Imaging Laboratory, School of Data and Computer Science.

• Worked on markov graph model-based automatic radiotherapy planning prediction model with Sun Yat-sen University Cancer Center. Related works have been accepted by RSNA 2017, 2018 and applied for three Chinese patents.