Dr. Mahdi Ghafoori
Title:
- Assistant Professor
Contacts:
mghafoori@caad.msstate.edu
Office: (662) 325-8305
132 Howell Building
Overview
Summary:
Dr. Ghafoori is an Assistant Professor in the Building Construction Science and Data Science Academic Institute at Mississippi State University. He is a civil engineer and data scientist, holding a Doctor of Philosophy (Ph.D.) in Engineering with a focus on civil engineering and computer science from the University of Colorado. His research focuses on applying data science and artificial intelligence techniques, such as pattern recognition and machine learning, to enhance decision-making and address key challenges in the construction industry.
Research interests:
Data-Driven Infrastructure and Asset Management
Building sustainability and energy efficiency
Grid-interactive buildings and demand-side management
Construction Safety Enhancement through Wearable Sensor and Monitoring Technologies
Publications
Conference Proceeding
- Modeling and Predicting Deterioration of Concrete Bridge Elements Using Machine Learning. Construction Research Congress 2024. Volume 2, Pages 769-777. 2024
- Assessment of Physical Demand in Bridge Rehabilitation Work by Physiological Status Monitoring. Proceedings of 59th Annual Associated Schools of Construction. Volume 4, Pages 417-425. 2023
- Multi-Objective Maintenance Optimization Model to Minimize Maintenance Costs While Maximizing Performance of Bridges. Proceedings of 59th Annual Associated Schools of Construction. Volume 4, Page Pages 523–531. 2023
- Physiological Metrics Across Construction Activity. Proceedings of 59th Annual Associated Schools of Construction. Volume 4, Page Pages 426–434. 2023
- Building Optimization Model for Minimizing Operation and Maintenance Costs. Construction Research Congress 2022. Volume 3-C, Pages 422-431. 2022
- Estimating Electricity Consumption of Buildings Using Information Theory and Machine Learning Methods. Construction Research Congress 2022. Volume 3-C, Pages 432-440. 2022
- Multi-Objective Optimization Model to Minimize Upgrade and Utility Costs of Large Existing Buildings. Construction Research Congress 2022. Volume 3-C, Pages 648-657. 2022
- Optimizing Selection of Building Materials and Fixtures to Reduce Operational Costs. CSCE Annual Conference. 2019
Journal Article
- Machine Learning-Based Bridge Maintenance Optimization Model for Maximizing Performance within Available Annual Budgets. Journal of Bridge Engineering. Volume 29, Issue 4. 2024
- Multi-criteria decision support model for material and supplier selection in the construction industry. International Journal of Construction Management. 2024
- Heart rate modeling and prediction of construction workers based on physical activity using deep learning. Automation in Construction. Volume 155. 2023
- Electricity peak shaving for commercial buildings using machine learning and vehicle to building (V2B) system. Applied Energy. Volume 340. 2023
- Innovative Optimization Model for Planning Upgrade and Maintenance Interventions for Buildings. Journal of Performance of Constructed Facilities. Volume 36, Issue 6. 2022
- Simulation-Based Optimization Model to Minimize Equivalent Annual Cost of Existing Buildings. Journal of Construction Engineering and Management. Volume 148, Issue 2. 2022
Presentations
Paper
- "Modeling and Predicting Deterioration of Concrete Bridge Elements Using Machine Learning." Construction Research Congress 2024, American Society of Civil Engineers, Des Moines, Iowa. 2024
- "Building Optimization Model for Minimizing Operation and Maintenance Costs." Construction Research Congress 2022, American Society of Civil Engineers, Washington DC. 2022
- "Estimating Electricity Consumption of Buildings Using Information Theory and Machine Learning Methods." Construction Research Congress 2022, American Society of Civil Engineers, Washington DC. 2022
- "Multi-Objective Optimization Model to Minimize Upgrade and Utility Costs of Large Existing Buildings." Construction Research Congress 2022, American Society of Civil Engineers, Washington DC. 2022