Virtual Teaching Assistant: A Virtual Teaching Assistant (VTA) is a human-centered educational AI system that provides course-aligned support using explainable, retrieval-based language models. It emphasizes trustworthy AI through instructor oversight and uncertainty-aware responses, data quality through curated instructional content, and human-in-the-loop design that preserves pedagogical control and academic integrity. This is currently fully deployed in association with UT Cloud at UT Tyler.

Precision Healthcare Informatics: This research area focuses on developing data-centric and explainable AI methods for precision healthcare applications, particularly using multimodal physiological and clinical data. The work emphasizes data quality, uncertainty awareness, and interpretable modeling to support reliable clinical decision-making, risk stratification, and personalized health interventions in real-world settings. 

AI Augmented Medical Education: This research explores the use of explainable, human-centered AI to augment medical education through immersive and interactive training environments. By integrating multimodal data, transparent AI reasoning, and human-in-the-loop design, the work supports clinical decision-making, skill development, and reflective learning in realistic medical scenarios.