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Dr. Mahdi Ghafoori

Dr. Mahdi Ghafoori

Title:

  • Assistant Professor

Contacts:

mghafoori@caad.msstate.edu
Office: (662) 325-8305
132 Howell Building

91×ÔÅÄ

Summary:

Dr. Ghafoori is an Assistant Professor in the Building Construction Science and Data Science program at Mississippi State University. He is a civil engineer and data scientist, holding a Doctor of Philosophy (Ph.D.) in Engineering and Applied Sciences 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

  • .  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
  • .  Construction Research Congress 2022. Volume 3-C, Pages 422-431. 2022
  • .  Construction Research Congress 2022. Volume 3-C, Pages 432-440. 2022
  • .  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

  • .ÌýJournal of Bridge Engineering. Volume 29, Issue 4. 2024
  • .ÌýInternational Journal of Construction Management. 2024
  • .ÌýAutomation in Construction. Volume 155. 2023
  • .ÌýApplied Energy. Volume 340. 2023
  • .ÌýJournal of Performance of Constructed Facilities. Volume 36, Issue 6. 2022
  • .ÌýJournal 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
91×ÔÅÄ

(662) 325-2202

Building Construction Science

(662) 325-8305

Interior Design

(662) 325-0530

Dean's Office

(662) 325-5150