Caleb Debrah

Papers

Total Citations

242

H-Index

About

Caleb Debrah is a leading researcher at the intersection of artificial intelligence and sustainable construction, whose work is redefining how the built environment can combat climate change. His primary research areas include green building design, AI-driven energy optimization, and the application of machine learning to reduce the carbon footprint of infrastructure. Debrah’s most influential contribution is his landmark 2022 paper, "Artificial intelligence in green building," which has garnered over 240 citations and serves as a foundational text for integrating smart technologies into eco-friendly architecture. In this work, he pioneered frameworks for using AI to predict building performance, automate energy management, and optimize material selection, offering scalable solutions for net-zero construction. His research has been instrumental in bridging the gap between computational methods and sustainable engineering, influencing both academic curricula and industry practices. Recognized for his innovative approach, Debrah has been invited to speak at international conferences on smart cities and green technology. His work continues to inspire a new generation of engineers and architects to harness AI for a more sustainable future.