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Author

Ali Shehadeh

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Dec 2026

Toward Explainable, Probabilistic Risk Control in Metro Tunnel Megaprojects: An XAI-Enabled Bayesian Survival–Cost Framework

Mechanized metro tunneling involves tightly interdependent geotechnical, logistical, and governance risks the evolving interactions of which can trigger stoppages, excessive settlement, material-supply disruptions, and permit-related delays. This study developed an integrated and explainable risk-to-decision framew...

Odey Alshboul, Ali Shehadeh · 0 citations
Sep 2026

Automating Infrastructure Maintenance Contracting: A Hybrid Markov–Machine Learning Framework for Predictive Asset Management and Risk Financing

Uncertainty in infrastructure deterioration and maintenance cost forecasting continues to weaken the effectiveness of conventional maintenance contracts, contributing to budget overruns, delayed interventions, and inefficient risk allocation. This study develops a machine learning (ML)–enhanced adaptive performance-b...

Odey Alshboul, Ali Shehadeh · 0 citations
#artificial intelligence Nov 2026

AI-Enabled Performance-Based Procurement and Life-Cycle Maintenance of Highway Bridges: Integrating Single-Bid Risk Analytics and PPP Payment Optimization

Model-based life-cycle evaluation indicates that AI-optimized PPP contracts reduce bridges reaching emergency condition by 30%–40% over a 30-year horizon while lowering life-cycle costs by 8%–12% compared with rule-based policies, providing infrastructure agencies and private concessionaires with an integrated AI-drive...

Ali Shehadeh, Odey Alshboul · 0 citations

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