Babatunde Oluwaseun Ajayi

King Mongkut's University of Technology North Bangkok

Papers

Total Citations

H-Index

About

Babatunde Oluwaseun Ajayi is a rising researcher at the intersection of sustainable construction, environmental systems, and advanced data analytics. His work focuses on mitigating the environmental impact of the building lifecycle, with a particular emphasis on demolition processes and construction waste management. Ajayi’s major contributions include pioneering the integration of System Dynamics (SD) modeling with machine learning techniques, such as the Random Forest algorithm, to analyze and optimize environmental outcomes. His highly cited 2025 study on integrating SD and machine learning for environmental impact analysis in demolition (7 citations) highlights how transportation alone accounts for 30% of total energy use and CO₂ emissions in waste management. A second influential paper (6 citations) develops mathematical models for sustainable construction waste management, offering actionable frameworks for reducing the sector’s carbon footprint. Though early in his career, Ajayi’s work is already shaping how the construction industry approaches lifecycle assessment and circular economy principles. His innovative use of computational modeling to solve real-world environmental challenges positions him as a key voice in the future of green building and sustainable infrastructure research.