College of Design and Built Environment
Department of Civil and Environmental Engineering
Faculty Research Profile Bulletin
Name:
| Syed Masiur Rahman |
Rank:
| Associate Professor |
Specialization:
| ☐ | Structural Engineering | ☒ | Transportation Engineering |
| ☐ | Construction Materials | ☐ | Water Resources Engineering |
| ☐ | Geotechnical Engineering | ☐ | Environmental Engineering |
PhD:
| Institution: | King Fahd University of Petroleum & Minerals |
| Year: | 2010 |
| Dissertation Title: | Application of AI Models in Traffic Flow Prediction and Time-of-Day Breakpoints Determination |
Selected Research Projects:
| 1. Prediction of Traffic Crash Severity – A Solution by International Data and Deep Learning Models 2. Application of Artificial Intelligence Techniques for Road Traffic Crash Severity Prediction 3. National Greenhouse Gas Emission Study for the Biennial Transparency Report of the Kingdom of Saudi Arabia 4. Greenhouse Gas Emissions Analytics for the Kingdom of Saudi Arabia 5. Studies for the National Greenhouse Gas Emissions Inventory and Climate Change Mitigation 6. National Greenhouse Gas Emissions Inventory for the Kingdom of Saudi Arabia for 2016 7. National Inventory of Anthropogenic Emissions by Sources and Removal by Sinks of Greenhouse Gases for the Kingdom of Saudi Arabia 8. Intended Nationally Determined Contributions (INDCs) of Saudi Arabia 9. Energy to Kingdom (E2K) Potential Contributions to the Greenhouse Gas Emission Reduction in the Kingdom of Saudi Arabia 10. Development of a Database Management System for Greenhouse Gas Emissions and Carbon Market Strategies and Policies in Saudi Arabia 11. Environmental Monitoring for Drilling Operations in LUKSAR Contract Area, North Rub Al-Khali Desert, Saudi Arabia 12. Environmental Monitoring for Exploratory Drilling Operations in EniRepSa Contract Area, North Rub Al-Khali Desert, Saudi Arabia 13. Distributional Robust Optimization for Power-to-Hydrogen and Carbon Capture System with High-Level Renewable Energy Integration 14. Development of an Appropriate Protocol for Sustainable Management of Drilling Wastes Using Analytical Hierarchy Process (AHP) |
Selected Patents:
1. System and Method for Simulating Stakeholder Behavior in Mega Event Mobility Scenarios using Human-Centric Artificial Intelligence 2. Method of predicting gas composition |
Research Publications:
| Scopus Link: | https://www.scopus.com/authid/detail.uri?authorId=57219219577 |
| Google Scholar Link: | https://scholar.google.com/citations?user=_6ep-j8AAAAJ&hl=en |
Selected Graduate Thesis Supervised:
1. An Explainable AI Approach to Travel Mode Choice Modeling: Evidence from London Data 2. An Interpretable and Explainable Machine Learning Framework for Driver Behavior Classification 3. Coastal Water Quality Modelling using Integrated Remote Sensing with Computational Intelligence Models 4. Crash Severity Prediction and Reporting by Integrating Explainable Agentic AI 5. Machine Learning and Hybrid Quantum models for Crash Severity Prediction. |
Research Interests (as per CEE Strategic Research Goals):
| ☐ | Develop Structural Health Monitoring Systems | ☒ | Renewable Energy |
| ☐ | Rehabilitation Materials and Techniques | ☒ | Sustainable Environment |
| ☐ | Carbon Utilization | ☒ | Climate Change Adaptation |
| ☒ | Cycling of Waste Materials | ☐ | Automation / Process Intensification |
| ☐ | Develop Smart and Sustainable Materials | ☐ | Novel Physical-Chemical Processes |
| ☒ | Novel Modeling / Testing Methods | ☐ | Exposure and Risk Analysis |
| ☒ | Natural Resources Management | ☒ | Smart Mobility Systems |