Research
My research currently focuses on medical image analysis, health informatics, and computer-aided diagnosis.
Multidisciplinary Research Award, 2025, College of Science and Engineering, Seattle University
Generative AI Research Award, 2025, College of Science and Engineering, Seattle University
Summer Research Award, 2016, 2017, 2020, 2021, 2025, 2026, College of Science and Engineering, Seattle University
Summer Faculty Fellowship, 2015, 2018, Seattle University
LLM-enhanced explainable machine learning for clinical prediction
Fall risk stratification in Parkinson's disease using machine learning
Soil moisture estimation using satellite and weather-driven machine learning
Automated grading of diabetic retinopathy severity
Bone marrow lesion segmentation using deep learning
Automated lesion segmentation in diabetic retinopathy using deep learning
Automated segmentation of skin lesions and detection of skin cancer
Detection of diabetic retinopathy of diabetic patients using image processing and machine learning techniques
Prediction of blood glucose level and detection of hyperglycemia/hypoglycemia using optimization and machine learning techniques
Non-invasive skin cancer detection using computer-aided spectroscopic systems
Gene semantic similarity analysis and measurement
Biomedical literature retrieval
Automated detection of mild cognitive impairment through MRI data analysis
Brain image de-identification for protecting the subjects' privacy