Zubin Bhuyan
Ph.D. candidate, UMass Lowell
Intelligent Transportation Systems |
Deep Learning | Computer Vision

• Bhuyan, Z., Wu, L., Xie, Y., Cao, Y., & Liu, B. (2024)."Using Nighttime Thermal UAV Videos and Deep Learning To Analyze Highway Work Zone Traffic Dynamics".   [UNDER REVIEW] Github
• Bhuyan, Z., Xie, Y., Angkea Reach Rith (2024)."AI Framework for Midblock Crosswalk Detection Across Massachusetts", 2024 MassDOT Transportation Innovation Conference.    
• Bhuyan, Z., Xie, Y., Liu, R., Cao, Y., & Liu, B. (2024)."Analyzing Highway Work Zone Traffic Dynamics via Thermal Videos and Deep Learning".   [ACCEPTED] Github
• Liu, R., Xie, Y., Bhuyan, Z. (2024). "Assessing the Impacts of Merge and Speed Control Strategies on Highway Work Zone Safety and Operations Using Artificial Intelligence and Advanced Sensors."   [ACCEPTED]
• Bhuyan, Z., Chen, Q., Xie, Y., Cao, Y., & Liu, B. (2023). "Modeling the Risk of Truck Rollover Crashes on Highway Ramps Using Drone Video Data and Mask-RCNN". 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC).       Github  
• Ni, J., Bhuyan, Z., Chen, Q., Sun, X., Wang, D., Cao, Y., & Liu, B. (2022). "Enhance Chest X-ray Classification with Multi-image Fusion and Pseudo-3D Reconstruction". 2022 International Joint Conference on Neural Networks (IJCNN)    

Recent Projects

Smart Work Zone Control and Performance Evaluation Based on Trajectory Data Github  

Thermal imaging analysis solution aimed at vehicle tracking in drone-captured videos, incorporating oriented bounding boxes and SHAI for superior detection capabilities.

Towards Safer Highway Work Zones: Insights from Deep Learning Analysis of Thermal Footage Github  

This research project aims to develop methods to extract vehicle trajectories, use the trajectories to analyze driver behavior, particularly lane-changing behavior under different conditions, and identify safety hazards and opportunities to improve work zone safety and operations. (MassDOT Research Program with funding from FHWA SPR funds.)

Transportation Data Analytics and Pilot Case Studies Using Deep Learning Github  

Current Status of Transportation Data Analytics and Pilot Case Studies Using Artificial Intelligence." Sponsored by the New England Transportation Consortium (NETC). Download Technical Report

Uncovering the Root Causes of Truck Rollover Crashes on Highway Ramps Github  

Vehicle detection using modified Mask-RCNN: Oriented Bounding Box (OBB) + instance segmentation. Download Technical Report

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