THE ROLE OF ARTIFICIAL INTELLIGENCE IN ENGINEERING PROJECT MANAGEMENT: A SYSTEMATIC REVIEW

Syed Muhammad Ali Qasim; Muhammad Hamza Toheed; Dr Huma Qasim; Dr Shahbaz Nawaz

doi:10.71146/kjmr658

Authors

Syed Muhammad Ali Qasim Dewan Industries, Sujawal, Sindh, Pakistan Author
Muhammad Hamza Toheed Data Scientist, Harris Health Bellaire, Texas, USA Author
Dr Huma Qasim Assistant Statistical Officer, District Health Authority, Bahawalpur, Pakistan Author
Dr Shahbaz Nawaz Bureau of Statistics Govt of the Punjab P & D Board, Pakistan Author

DOI:

https://doi.org/10.71146/kjmr658

Keywords:

Engineering management, Project management, Machine learning, Risk assessment, Artificial intelligence

Abstract

This systematic study investigates the use of Artificial Intelligence (AI) in engineering project management, with an emphasis on its applications, advantages, problems, and future directions. A detailed examination of eight peer-reviewed research published between 2016 and 2025 was carried out, including a wide range of AI approaches such as Machine Learning (ML), Deep Learning (DL), and Genetic Algorithms. The findings show significant progress in scheduling, risk management, decision support, cost estimation, resource optimization, monitoring, and performance evaluation. Despite these gains, obstacles remain, particularly in data quality, organizational readiness, and the need for standardized frameworks. The paper concludes with recommendations for future research that will improve AI use in engineering project management.