Doris Esenarro

Federico Villarreal National University, Universidad Ricardo Palma

Papers

Total Citations

150

H-Index

About

Doris Esenarro is a pioneering researcher whose work bridges artificial intelligence and sustainable architecture, addressing critical challenges in public safety and environmental design. Her most impactful contribution, the 2021 study "Weapon Detection Using YOLO V3 for Smart Surveillance System," has garnered 145 citations, showcasing her leadership in applying deep learning to real-time security systems. This work develops a fully automated computer vision framework to identify handguns and rifles, leveraging transfer learning to enhance threat detection in public spaces—a vital tool in combating gun-related violence globally. In parallel, Esenarro advances sustainable construction through her 2024 paper on cost-effective timber shell structures, which integrates computational design, digital fabrication, and mechanical integral ‘half-lap’ joints. This research addresses the construction industry's heavy reliance on concrete and high CO2 emissions, offering a practical pathway toward more efficient, eco-friendly building practices. By combining cutting-edge AI with green engineering, Esenarro demonstrates a rare versatility, tackling both immediate societal safety needs and long-term environmental sustainability. Her work inspires students and researchers to explore interdisciplinary solutions at the intersection of technology and ecological responsibility.