Dai Quoc Tran
Post Doctoral Scholar in Department of Civil, Environmental and Construction Engineering
University of Central Florida, United States
Research Interests
š¦ Transportation Safety
Real-time safety intelligence for transportation networks through multimodal sensor fusion and deep learning.
šļø Construction AI
AI-enabled hazard detection and automated quality assurance integrating NDE and structural health monitoring.
šļø Computer Vision
Vision-based analytics and machine learning for construction automation, worker safety, and productivity optimization.
Professional Experience
Post Doctoral Scholar
November 2024 - PresentDepartment of Civil, Environmental and Construction Engineering, University of Central Florida
Working with Center for Smart Streetscapes (CS3), NSF Research Center.
Post Doctoral Scholar
March 2023 - November 2024Global Frontiers of Resilient EcoSmart City, Sungkyunkwan University, Suwon, Korea
Received a three-year project grant from NRF to develop an AI-based CCTV system for monitoring construction sites.
Role: Principal Investigator | Budget: 210,000,000 WON
AI Team Lead
February 2021 - November 2024SmartInside AI Co., Ltd, Suwon, Korea
KIC Tech Frontier
August 2023Research Assistant
September 2018 - February 2023Smart Construction IT Lab, Sungkyunkwan University, Suwon, Korea
Research Assistant
August 2017National Institute of Technology, Gifu College, Gifu, Japan
Awards & Recognition
Featured Projects
AI-based CCTV System for Monitoring Construction Sites
Low-Light Image Enhancement Framework for Improved Object Detection in Fisheye Lens Datasets
SSIMS.AI for SmartInside.AI
Image-to-Hazard: GPT-based Logic Reasoning for Hazard Identification in Construction Site using CCTV Data
Forest-Fire Response System
VQA-RESCon
Selected Publications
| Authors | Title | Publication/Conference | Year | Link |
|---|---|---|---|---|
| Dai Quoc Tranā , Mohamed Abdel-Aty, Qianqian Jin, Younggun Kim, Zubayer Islam, Seunghee Park | Gated KinematicāVisual Fusion for Right-Turn Pedestrian Conflict Risk Assessment. | IEEE Transactions on Intelligent Transportation Systems | 2025 | [Under Review] |
| Dai Quoc Tranā , Mohamed Abdel-Aty, Younggun Kim, Ahmed Abdelrahman, Zubayer Islam | Region-Level Vision-Language Model for Detecting Distraction Behavior and Mobility Attributes of Vulnerable Road Users | IEEE Transactions on Intelligent Transportation Systems | 2025 | [Under Review] |
| Dai Quoc Tran, Armstrong Aboah, Yuntae Jeon, Minh-Truyen Do, Mohamed Abdel-Aty, Minsoo Park, Seunghee Parkā | Visual Question Answering-based Referring Expression Segmentation for Construction Safety Analysis | Automation in Construction | 2025 | Link |
| Dai Quoc Tran, Yuntae Jeon, Armstrong Aboah, Jinyeong Bak, Minsoo Park, Seunghee Parkā | Leveraging Semi-Supervised Learning for Domain Adaptation: Enhancing Safety at Construction Sites through Long-Tailed Object Detection | ASCE's Journal of Construction Engineering and Management | 2025 | Link |
| Dai Quoc Tran, Armstrong Aboah, Yuntae Jeon, Maged Shoman, Minsoo Park, Seunghee Parkā | Low-Light Image Enhancement Framework for Improved Object Detection in Fisheye Lens Datasets | CVPRw 2024, Seattle, US - TOP5 Track 4 | 2024 | Link |
| Dai Quoc Tran, Armstrong Aboah, Yuntae Jeon, Minsoo Park, Seunghee Parkā | Vision-Language Model-based PolyFormer for Recognizing Visual Questions with Multiple Answer Groundings | CVPRw 2024, Seattle, US - TOP3 VizWiz Grand Challenge | 2024 | Link |
| Dai Quoc Tran, Yun Tae Jeon, Tae Heon Kim, Min Soo Park, Joo Ho Shin, Seunghee Park | Image-based object recognition method and system based on learning of environment variable data | United States Patent | 2024 | Link |
| Dai Quoc Tran, Yuntae Jeon, and Seunghee Parkā | Automatic Construction Safety Report using Visual Question Answering and Segmentation Model | ICCCBE, Montreal, Canada | 2024 | Link |
| Dai Quoc Tran, Yuntae Jeon, Minsoo Park, and Seunghee Parkā | GPT-based Logic Reasoning for Hazard Identification in Construction Site using CCTV Data | ISARC 2024, Lille, France | 2024 | Link |
| Dai Quoc Tran, Yuntae Jeon, Seongwoo Son, Minsoo Park, and Seunghee Parkā | Identifying Hazards in Construction Sites Using Deep Learning-Based Multimodal with CCTV Data | CONVR2023, Florence, Italy | 2023 | Link |
| Dai Quoc Tran, Minsoo Park, Yuntae Jeon, Jinyeong Park, and Seunghee Parkā | Forest-fire response system using deep-learning-based approaches with CCTV images and weather data | IEEE Access | 2022 | Link |
| Dai Quoc Tran, Minsoo Park, Daekyo Jung, and Seunghee Parkā | Damage-Map Estimation Using UAV Images and Deep Learning Algorithms for Disaster Management System | Remote Sensing | 2020 | Link |
| Dai Quoc Tran, Ju-Won Kim, Kassahun Demissie Tola, Wonkyu Kim, and Seunghee Parkā | AI-Based Bolt Loosening Diagnosis Using Deep Learning Algorithms for Laser Ultrasonic Wave Propagation data | Sensors | 2020 | Link |