research overview
- My research interest is in applications of artificial neural networks. Previously I worked on computer vision problems using neural networks for healthcare applications: 1) brain tumor substructure segmentation using neural network architectures on multimodal brain MRI data, and 2) prediction of blood pressure in the coronary arteries and STENT surgery recommendation using neural network and machine learning models on intravascular ultrasound images. I’m also interested in studying/emulating cognitive mechanism in brain. My recent projects include 1) learning association of vision and sound using deep unsupervised learning, 2) how a visual memory can be represented as a graph and be used in a navigation problem using deep reinforcement learning, and 3) applying computer vision to develop a cost-effective test methods for safety of concrete at the construction site.