patents

Dr. Nguyen’s research includes patent-pending work in human-interactive computer vision, edge AI, federated learning, and smart-contract security. The entries below describe patent applications and related research IP, not granted patents. Ownership and inventorship are governed by the corresponding official filings.

Human-interactive multi-camera tracking

iCityGuardian: Human-Interactive Multi-Camera Tracking for Smart Cities
Status: U.S. patent pending; provisional application 63/908,882.
Research collaboration: University of Tennessee at Chattanooga and University of Arkansas. The system uses natural-language interaction and multi-camera tracking for smart-city safety and mobility applications.

• UTC research overview
• UTC faculty research feature

Federated learning and edge AI for transportation

FLEET: Real-Time Edge-Deployable Personalized Federated Learning for Multi-Agent Trajectory Forecasting
Status: U.S. patent pending.
A UTC–DENSO research collaboration on privacy-preserving, decentralized trajectory forecasting and end-to-end edge deployment.

Personalized Federated Learning for Multi-Agent Trajectory Forecasting
Status: U.S. patent pending.
A UTC–DENSO research collaboration on learning across distributed roadside sensing systems without centralizing raw data.

• UTC AI Research — intellectual property and projects

Smart-contract security

MANDO — AI-powered smart-contract vulnerability analysis
IP record: PCT/SG2026/050045 (Singapore-based application associated with the MANDO research collaboration).
Status: Application.

• MANDO project

Patent-pending refers to an application or pending filing and does not imply that a patent has been granted. This page is a research overview rather than a legal patent register.