Scholar
Zubin Bhuyan
Google Scholar ID: h8zdPpUAAAAJ
University of Massachusetts Lowell
Citations & Impact
Citations
31
H-index
3
i10-index
1
Publications
17
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- - Publications: CrosswalkNet, Smart Work Zone Control and Performance Evaluation, Towards Safer Highway Work Zones, etc.
- - Projects: Railroad Trespassing Detection and Dynamic Warning System, Low-Light All-Weather Traffic Camera, Efficient Edge Learning for Thermal Vision, etc.
Research Experience
- - Researcher, UMass Lowell
- - Railroad Trespassing Detection and Dynamic Warning System
- - Low-Light All-Weather Traffic Camera
- - Efficient Edge Learning for Thermal Vision
- - CrosswalkNet: A deep learning framework for pedestrian crosswalk detection
- - Smart Work Zone Control and Performance Evaluation Based on Trajectory Data
- - Towards Safer Highway Work Zones: Insights from Deep Learning Analysis of Thermal Footage
- - Transportation Data Analytics and Pilot Case Studies Using Deep Learning
- - Uncovering the Root Causes of Truck Rollover Crashes on Highway Ramps
Education
- He holds a PhD in Computer Science.
Background
- Zubin Bhuyan is an AI researcher at the University of Massachusetts Lowell, specializing in edge computing, deep learning, and computer vision algorithms for Intelligent Transportation Systems. His research focuses on improving detection and analytics algorithms for vehicle and pedestrian safety, developing vehicle tracking systems using thermal and RGB cameras from drones and ground-level setups, conducting LiDAR data analysis for semantic segmentation, object detection, and scene understanding, and creating multimodal datasets to analyze highway traffic in work zones.
Miscellany
- He is particularly interested in leveraging advanced technologies to improve transportation safety and efficiency, as well as exploring Connected and Automated Vehicle (CAV) technologies, V2X communication standards, and mobility equity.
Co-authors