About Me
My research interests include machine learning, computer vision, AI for health, medical image computing, deep learning security, and color visual signal processing. A general theme is intelligent computational systems for (i) multi-dimensional data analytics and understanding, (ii) computer vision, and (iii) health informatics. My research outcomes have been applied to biologists' state-of-the-art study on pathology image based breast cancer prognosis.
My research projects include:
- Computational medical imaging (computational pathology, trusted diagnostic systems, weak-supervision segmentation, etc) [publications]
- AI for health (EEG signal analysis, cranial implant design, assisted-robotic surgical data analysis, computational methods for COVID-19, etc) [publications]
- Learning-based visual data analysis (visual-based anomaly detection, open-set problems, etc.) [publications]
- Security in deep learning (adversarial attack/training, data poison detection, etc.) [publications]
Some of the works: