Author:Mohsen Goodarzi

Publications
Using AI with Machine Learning Models to Predict Concrete Compressive Strength Tamer Breakah, Mohsen Goodarzi, Mohamed Abdel Raouf and Tarek Mahfouz In:Proceedings of Associated Schools of Construction 62nd Annual International Conference
Strategic Alignment in Green Building Certification: An Importance-Performance Analysis of LEED v4 New Construction Projects Mohsen Goodarzi, Tamer Breakah, Mohammadsoroush Tafazzoli, Mohsen Garshasby and Mohamed Metwally In:Proceedings of Associated Schools of Construction 62nd Annual International Conference
Barriers to Effective Sustainable Development Education for Civil Engineering Students Mohammadsoroush Tafazzoli, Elnaz Safapour and Mohsen Goodarzi In:Proceedings of Associated Schools of Construction 61st Annual International Conference
A Data-Driven Study of Regional Priority Credits and Their Impact on LEED Certification in Multifamily Residential Projects Mohsen Goodarzi, Sajjad Naseri, Mohsen Garshasby and Mohammadsoroush Tafazzoli In:Proceedings of Associated Schools of Construction 61st Annual International Conference
Identifying the Leading Credit Categories in Determining the Overall LEED NC Score of Multifamily Residential Projects Mohsen Goodarzi and Mohsen Garshasby In:Proceedings of 60th Annual Associated Schools of Construction International Conference
Assessing the Consistency Between the Expected and Actual Influence of LEED-NC Credit Categories on The Sustainability Score Mohsen Goodarzi, Alireza Shayesteh and Sherif Attallah In:Proceedings of 59th Annual Associated Schools of Construction International Conference
A Post-Construction Evaluation of Long-term Success in LEED-certified Residential Communities Mohsen Goodarzi and George Berghorn In:ASC2022. 58th Annual Associated Schools of Construction International Conference

Keyphrases

Artificial Intelligence, Barriers, CFA, Concrete Compressive Strength Prediction, Credit Category, Education, Energy and Atmosphere, Engineering, Green Building², Indoor Environmental Quality, IPA, LEED³, LEED-NC v4, machine learning, Materials and Resources, Multifamily Residential Buildings, Multifamily Residential Projects, new construction, perceived performance, Regional Priority, Satisfaction, SEM, Sustainability, sustainable development, Sustainable Residential projects, Sustainable Site, Water efficiency.