Baabak Ashuri
· Professor; PMOSH Program DirectorGeorgia Institute of Technology · Building Construction
Active 1992–2026
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About
Professor Baabak Ashuri is an Executive Director of the Professional Master’s in Occupational Safety and Health (PMOSH), a Professor of Civil and Environmental Engineering, and a Professor of Building Construction at Georgia Tech. He is also a Fellow of the Brook Byers Institute for Sustainable Systems (BBISS). His research has advanced theoretical foundations and applications of data analytics, economic decision analysis, and quantitative methods for infrastructure systems and construction engineering and management. His work enables other researchers to enhance infrastructure operations performance in areas such as artificial intelligence (AI), design automation, alternative contracting methods, infrastructure finance, public-private partnerships (P3), and energy technology investments. Dr. Ashuri has a prolific publication record with over 242 publications, including journal articles, conference papers, reports, and book chapters. He has secured over $17 million in research funding from various agencies and organizations, including NSF, FHWA, DOE, and several state transportation departments. His contributions have been recognized through numerous awards, such as the Thomas Fitch Rowland paper award from ASCE, the AASHTO High Value Research “Sweet Sixteen” Award, and the DBIA Distinguished Leadership award. He has served in leadership roles within professional organizations, including chairing the ASCE Construction Research Council and serving on the ASCE Construction…
Research topics
- Engineering
- Machine Learning
- Computer Science
- Business
- Geography
- Mathematics
- Medicine
- Environmental science
- Architectural engineering
- Civil engineering
Selected publications
Embodied Life Cycle Assessment (LCA) comparison of residential building retrofit measures in Atlanta
Building and Environment · 2020 · 74 citations
Senior authorCorrespondingSafety management in construction: 20 years of risk modeling
Safety Science · 2020 · 74 citations
Predicting the Volatility of Highway Construction Cost Index Using Long Short-Term Memory
Journal of Management in Engineering · 2020 · 65 citations
Senior authorCorrespondingThe highway construction cost index (HCCI) is a composite indicator that reflects the price trend of the highway construction industry. Most available indexes exhibit significant variation, creating a challenge for state agencies to make accurate budget estimations. Numerous researchers have attempted to forecast the index using quantitative models, but two major problems still exist. First, few models work effectively with highly volatile data. A model that is only fitted well with stable data…
Ensemble Machine Learning Classification Models for Predicting Pavement Condition
Transportation Research Record Journal of the Transportation Research Board · 2024-05-16 · 11 citations
articleSenior authorForecasting pavement performance condition is essential within the pavement management system to optimize decisions with regard to planning maintenance and rehabilitation projects. Accurate forecasts facilitate timely interventions and assist in formulating cost-effective asset management plans. Data-driven machine learning models that utilize historical data to improve forecasting precision have gained attention in the field of asset management. Although numerous studies have employed regressio…
Journal of Construction Engineering and Management · 2024-05-25 · 8 citations
articleSenior authorCivil engineering design problems are inherently complex, characterized by iterative processes, multiple criteria, and time-consuming manual design work. Traditional methods often struggle to rapidly reach optimal designs, lacking guarantees of achieving optimality. With the advent of recent advances in artificial intelligence (AI), this study attempts to answer the research question: How AI algorithms can expedite the civil engineering design process, enhancing efficiency and accuracy in reachi…
Recent grants
Frequent coauthors
- 40 shared
Minsoo Baek
Kennesaw State University
- 35 shared
Mohsen Shahandashti
The University of Texas at Arlington
- 23 shared
Mingshu Li
- 20 shared
Yunping Liang
University of Nebraska–Lincoln
- 19 shared
Frederick Chung
Georgia Institute of Technology
- 18 shared
Jeongyoon Oh
- 18 shared
Ali Touran
Georgia Institute of Technology
- 16 shared
Tyler Clark
Northeastern University
Labs
Awards & honors
- Thomas Fitch Rowland paper award (ASCE)
- AASHTO High Value Research “Sweet Sixteen” Award
- Design-Build Institute of America (DBIA) Distinguished Leade…
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