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Dai Quoc Tran, Ph.D.

UT-ORII Fellow

Oak Ridge National Laboratory (ORNL)


Research Interests

🔍 Automated Quality Control (AQC)

Developing AI-driven non-destructive evaluation (NDE) and real-time anomaly detection systems for advanced manufacturing and energy applications.

👁️ Industrial Computer Vision

Applying advanced deep learning and vision transformers for process monitoring, defect recognition, and situational awareness in industrial environments.

📊 Intelligent Sensing & Fusion

Integrating multi-modal sensor data (thermal, visual, acoustic) to enhance decision-making in complex quality assurance workflows.


Professional Experience

UT-ORII Fellow

January 2026 - Present

Oak Ridge National Laboratory (ORNL)

Focus: Automated Quality Control and Quality Assurance within the Energy Science and Technology Directorate.

Post Doctoral Scholar

November 2024 - November 2025

University of Central Florida (Working with ERC Center for Smart Streetscapes)

Post Doctoral Scholar & PI

March 2023 - November 2024

Sungkyunkwan University, Korea

Principal Investigator for NRF project developing AI-based CCTV systems.

AI Team Lead

February 2021 - November 2024

SmartInside AI Co., Ltd, Korea


Selected Awards

Fellowship UT-ORII Fellowship, 2026
Top-5 AICity Challenge, CVPR 2024
Top-3 VizWiz Grand Challenge, CVPR 2024
Top-1 ICCV Workshop, Floor Plan Auto-Completion Challenge, 2023
First Prize AI Championship 2022 (Korea)

Publications

For a complete list of my research publications, please refer to my Google Scholar Profile.