AAR Lab develops trustworthy and scalable AI for healthcare and forensics, with a focus on large vision (vision–language) models, multimodal deep learning, multitask learning, graph neural networks, and agentic AI. Work spans medical imaging (ultrasound, mammography, CBCT), EHR time-series, and interactive AR/VR/MR tools to support decision-making and structured reporting.
The lab includes Ph.D., M.S., and undergraduate researchers working on medical imaging, EHR modeling, optimization, and human-in-the-loop systems.

Ph.D. student who joined in Fall 2025. Primary interests include deep learning.

Ph.D. student who joined in Fall 2024. Primary interests include medical image analysis.

M.S. student who joined in Spring 2025. Primary interests include deep learning.

M.S. student who joined in Fall 2025. Primary interests include deep learning.

M.S. student who joined in Fall 2025. Primary interests include bioinformatics, drug discover, and GNN.

Undergraduate researcher focusing on optimization for efficient training and inference in machine learning.

Former B.S. student who joined in Fall 2024. Primary interests included deep learning.

Former M.S. student who graduated from UNLV in Spring 2024.

Former B.S. student who joined in Spring 2025. Primary interests included natural language processing.
Visiting intern who joined in Fall 2025. Research interests include data analytics.

Visiting intern who joined in Fall 2025. Research interests include data analytics.