Ali Mousaei

Papers

Total Citations

104

H-Index

About

Ali Mousaei is a construction engineering researcher whose work sits at the intersection of heavy lift planning, robotics, and industrial construction automation. His research focuses on solving one of the most persistent challenges in industrial megaprojects: the safe and efficient path planning of mobile cranes in congested construction environments. Recognizing that improper lift planning is a leading driver of cost overruns, schedule delays, and safety incidents, Mousaei has pioneered the application of robotics-inspired algorithms to automate and optimize crane path planning — a domain traditionally reliant on manual, experience-based methods. His most influential contribution, "Heavy mobile crane lift path planning in congested modular industrial plants using a robotics approach" (2020), has garnered 57 citations, establishing a foundational framework for treating crane navigation as a robotic motion planning problem. His follow-up work on discretized polar space optimization (2021, 33 citations) refined these methods for practical deployment, while his 2023 research on crane walking operations (14 citations) extended the framework to address the growing challenge of ultra-compact site layouts. Collectively, Mousaei's work is shaping how the construction industry approaches lift safety and automation, offering planners powerful computational tools to navigate increasingly complex jobsite conditions.