Current / Awarded Grants
Enhancing Grid Resilience with Reinforcement Learning Based Stress Scenario Simulation and Policy Generation (Current), SHSU-ORSP Research Development Program, PI, funded with listed start date September 1, 2026.
Design and Optimization of Eco-Friendly Polymer Composites Reinforced with CNTs and CNCs for FDM Applications (Current), SHSU-ORSP Research Development Program, Co-PI, funded with listed start date September 1, 2026.
AI-Powered Dynamic Scenario Generation for Criminal Justice Education (Current), SHSU TLC Teaching Innovation Grant, PI, funded January 2026-June 2027.
Leveraging 3D Animation Technology and Large Language Models for Enhanced Agricultural Literacy (Current), USDA-APHIS, Co-PI, funded June 2025-present.
Leveraging Physics-Informed Neural Networks for Design Validation (Completed), SHSU-ORSP, Co-PI, funded June 2025-December 2025.
Smart Course Scheduling: An Interdisciplinary AI Initiative for Small Academic Programs (Current), SHSU-ORSP, Co-PI, funded.
Edge Device Enabled Sensor Fusion for Multi-Modal Analysis: A Machine Learning Approach (Completed), SHSU-ORSP, PI, completed May 2024-October 2025.
Labelling Cardiac X-Ray Images for A.I. Training (Completed), SHSU College of Osteopathic Medicine Medical Summer Scholars Program, PI, completed Summer 2024.
Research Projects
Developing a Data-Driven Technology towards improved Leeway Divergence Prediction, U.S. Coast Guard, 2020-2021.
Alignment and Analysis of Off-shore Oil and Gas Rig Sensor Data, Schlumberger, 2020.
A Novel Probabilistic Methodology for Prediction of Emerging Diseases in Patients with Multiple Chronic Conditions, National Institutes of Health project.
Predicting and Explaining Workplace Safety Incidents using Data Mining Techniques, Andeavor, 2018.