Pongkit Ekvitayavetchanukul

Papers

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About

Pongkit Ekvitayavetchanukul is a forward-thinking researcher at the intersection of artificial intelligence and civil infrastructure, with a primary focus on AI-driven innovations in tunnel construction and transport systems. His most cited work, "AI-Driven Innovations in Tunnel Construction and Transport: Enhancing Efficiency with Advanced Machine Learning and Robotics" (2025, 11 citations), introduces a groundbreaking hybrid framework that integrates Building Information Modeling (BIM) with advanced machine learning models, including Artificial Neural Networks (ANN). This framework is designed to address the high-risk, complex nature of tunnel construction by improving precision, safety, and operational efficiency. Ekvitayavetchanukul’s major contribution lies in demonstrating how AI and robotics can transform traditional construction practices, offering scalable solutions for modern infrastructure demands. His work stands out for its practical application of cutting-edge technology to real-world engineering challenges, making him a notable figure in the emerging field of smart construction. With a growing citation record, his research is already influencing how engineers approach tunnel design and transport logistics, positioning him as a key voice in the ongoing digital transformation of the built environment.