User:Monzurul1112
Wikipedia editor
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Template:User graduate student Template:User Texas State University
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About
Hello! I am Monzurul Islam, a graduate researcher in Civil Engineering at Texas State University, specializing in transportation safety, intelligent transportation systems (ITS), and data-driven infrastructure analytics.
My research focuses on the development and application of advanced computational methods—including machine learning, deep learning, computer vision, and statistical modeling—to address critical challenges in transportation safety. My work integrates multimodal data sources such as crash records, roadway inventory data, and video-based trajectory analytics to better understand risk factors, predict crash severity, and support proactive safety interventions.
I am particularly interested in explainable artificial intelligence (XAI) and its role in improving transparency, interpretability, and deployment of safety models for real-world transportation systems.
On Wikipedia, I aim to contribute to high-quality, well-sourced articles related to transportation engineering, safety analysis, infrastructure systems, and emerging AI-driven technologies in mobility.
Editing Interests
- Transportation engineering
- Traffic safety and crash analysis
- Intelligent Transportation Systems (ITS)
- Transportation data analytics and modeling
- Machine learning and AI in infrastructure systems
- Transportation policy and planning
- Roadway design and safety countermeasures
Areas I May Contribute To
- Crash severity modeling and risk analysis
- Data-driven transportation safety research
- Vulnerable road user safety (pedestrians, cyclists, micromobility)
- Emerging mobility technologies (e.g., e-scooters, automated vehicles)
- Infrastructure monitoring and smart transportation systems
- Explainable AI applications in transportation
- GIS-based transportation analysis
Research Overview
My research lies at the intersection of transportation engineering and artificial intelligence. Key areas include:
- Crash Severity Analysis: Applying machine learning and transformer-based natural language processing (e.g., BERT, RoBERTa) to analyze structured and unstructured crash data.
- Computer Vision for Transportation Safety: Using deep learning models such as YOLO for real-time detection, tracking, and behavior analysis of road users.
- Explainable AI (XAI): Leveraging SHAP and interpretable models to understand feature contributions in safety prediction models.
- Surrogate Safety Analysis: Extracting trajectory-based indicators (e.g., Time-to-Collision, Post-Encroachment Time) from video data to assess near-miss events.
- Multimodal Data Integration: Combining spatial, temporal, and behavioral datasets for comprehensive safety modeling.
Selected Research Contributions
My work has contributed to peer-reviewed journals and conferences in transportation safety and data science. Research themes include:
- Interpretable deep learning models for crash severity prediction
- Safety evaluation of roadway design features (e.g., centerline rumble strips)
- Data-driven analysis of micromobility (e-scooter) safety
- AI-driven video analytics for pedestrian and railway safety monitoring
- Bayesian and statistical modeling of crash risk factors
Academic Background
- M.S. in Civil Engineering (Transportation Engineering), Texas State University
- B.S. in Civil Engineering, Bangladesh University of Engineering and Technology (BUET)
Professional and Research Experience
- Graduate Research Assistant, Artificial Intelligence in Transportation (AIT) Lab, Texas State University
- Contributor to federally funded transportation research projects (e.g., TxDOT, NCHRP, FRA)
- Experience in GIS-based spatial analysis, crash data analytics, and safety modeling
Technical Skills
- Programming: Python, R, SQL
- Machine Learning & AI: Scikit-learn, TensorFlow, PyTorch
- Computer Vision: YOLO, OpenCV
- NLP: BERT, RoBERTa, STM (Structural Topic Modeling)
- GIS & Visualization: ArcGIS Pro, QGIS, Leaflet, Shiny
- Data Analysis: Pandas, NumPy, ggplot2
Sandbox
This is my personal testing space for editing practice.
User:Monzurul1112/sandbox
Contributions
You can see my editing activity here:
Disclaimer
This user page reflects my personal interests as a contributor to Wikipedia and does not represent the views of any organization or institution.