Baabak Ashuri

Baabak Ashuri

Professor, School of Building Construction and School of Civil & Environmental Engineering
Director, PMOSH Program and Economics of the Sustainable Built Environment (ESBE) Lab

Baabak Ashuri

Professor, School of Building Construction and School of Civil & Environmental Engineering
Director, PMOSH Program and Economics of the Sustainable Built Environment (ESBE) Lab

Room 228, Caddell Building

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Economics of the Sustainable Built Environment (ESBE) Lab webpage

Baabak Ashuri is a Professor in Schools of Building Construction, and Civil & Environmental Engineering, and Fellow of Brook Byers Institute for Sustainable Systems at Georgia Tech. His research has focused on Quantitative Methods for Construction Engineering and Infrastructure Management with important contributions in the areas of construction analytics, innovative project delivery, and evaluation of sustainable and resilient infrastructure systems. He has 180 publications, including 54 refereed-journal papers, and secured $8.5M funding from NSF, FHWA, USDOT, USDOE, CII, GDOT, and LTRC, to name a few. The impact of Ashuri’s research was recognized by several awards (CII/FIATECH Outstanding Early Career Researcher, ASCE Thomas Fitch Rowland, ASC National Research Faculty, DBIA Distinguished Leadership, and AASHTO High-Value Research “Sweet Sixteen”). Ashuri has chaired the ASCE Construction Research Council (CRC) and served on the ASCE Construction Institute (CI) Board of Governors.

 

Areas of Expertise

  • Quantitative Methods for Construction Engineering and Infrastructure Management
  • Construction Analytics – Advanced statistical analysis and Machine Learning
  • Construction Economics - Econometric Modeling
  • Construction Cost Analysis and Forecasting
  • Innovative Project Delivery Systems and Alternative Contracting Methods
  • Project Finance - Real Options Analysis for Infrastructure Asset Valuation 
  • Public-Private Partnership (P3)
  • Economic Decision Analysis and Investment Evaluation Methods
  • Valuation of Green-Energy Investments and Sustainable Buildings
  • Risk Management
  • BIM Log Mining: Data Mining of BIM Projects

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