About Projects Research Resume ↓
Research

High-impact problems explored — translating research into business and product insights.

Three themes shaping the development of next-generation AI systems. Each theme explores how intelligent, immersive, and data-driven systems can better serve human decision-making.

Google Scholar ↗ ResearchGate ↗ ORCID ↗
20+
publications across AI, XR, and cognition development
3
research themes carrying into industry
14
awards & honors — view all →
1
U.S. Copyright registration (Library of Congress)
Theme 01 Industry relevance: high

Applied AI systems

Building ML and GenAI systems that move from benchmark to deployment — classifiers, predictive models, RAG pipelines, and cloud-native web apps. The through-line: frame the problem, ship the model, measure what happens, iterate. Work here directly informs how I approach production ML: feature selection, model selection, MLOps discipline, and telling the truth about accuracy.

XGBoost ML benchmark Classification
MLOps Ensemble models Streamlit
Predicting student academic performance using machine learning
ICCSA · Springer LNCS vol. 12957 · 2021
Predictive modeling Deep Learning Regression
Theme 02 Industry relevance: specialized

Extended reality (XR) & Spatial Computing

Turning spatial data — LiDAR scans, GIS layers, captured environments — into interactive 3D systems for training, education, and simulation. Deployed across HMDs, CAVE, and mobile CAVE in partnership with state agencies and K–12 programs. The transferable skill: understanding how spatial interfaces change the data you collect, the interactions you design, and the outcomes you can measure.

Unity VR Prototype
Survey validation Experimental design
Mixed-method Factor Analysis
Theme 03 Industry relevance: growing

Cognitive & human-centered AI

Measuring how intelligent systems change the humans interacting with them — cognition, behavior, trust, workload. Instrument design (EFA, PCA, SEM), controlled experiments, and UX research applied to AI and XR interventions. The industry translation: evaluation rigor for AI and XR products, user-study methodology that survives peer review, and a vocabulary for talking about what "better" actually means.

UX research
Cognition development Workforce development
Reality capture

Looking for the full publication list? Google Scholar has everything — journal, conference, and poster presentations.

Open Google Scholar →