Skip to content

Author

M. Khan

We have 4 of 4 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Review Open access Aug 2026

STRUCTURAL PERFORMANCE AND DESIGN OPTIMIZATION OF 3D PRINTED CONCRETE STRUCTURES: A STATE-OF-THE-ART REVIEW

Three-dimensional concrete printing (3DCP) represents a transformative technology in the construction industry, enabling automated, layer-by-layer fabrication of complex structural elements without formwork. This comprehensive review synthesizes current knowledge on the structural performance and design optimization of...

M. Khan, M. Ashraf, Iqra et al. · 0 citations
Conference Aug 2026

From Data to Action: Field Deployment of Live Physics-Based Models for ESP Optimization and Operational Efficiency Gains

Artificial lift systems represent a critical component of production operations in large onshore oil fields with high well counts and aggressive production targets. Electrical Submersible Pumps (ESPs), while offering high production capacity, are sensitive to operating envelope excursions, flow instabilities, and deg...

M. E. Gonzalez, F. Bosia, R. Cafarelli et al. · 0 citations
Open access Aug 2026

Computer Aided Cognitive BIM Framework for Intelligent Decision Support in Civil Engineering Infrastructure Using Hybrid Artificial Intelligence

A novel Computer Aided Cognitive BIM framework that leverages hybrid artificial intelligence techniques to provide intelligent decision support for civil engineering infrastructure projects and demonstrates superior performance in handling uncertainty, multi-criteria optimization, and real-time adaptive reasoning in co...

Waleed Arshad, H. Iqbal, M. Khan et al. · 0 citations
Review Open access Aug 2026

A SYSTEMATIC REVIEW OF ARTIFICIAL INTELLIGENCE APPLICATIONS IN STRUCTURAL HEALTH MONITORING OF CIVIL INFRASTRUCTURE

This systematic review synthesizes recent advances in AI applications for SHM across civil infrastructure including bridges, buildings, tunnels, and dams and identifies interdisciplinary opportunities including federated learning for decentralized monitoring, explainable AI for stakeholder trust, and autonomous inspect...

M. Khan, M. Ashraf, Muhammad Jahanzeb et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.