Roman Zverev

Papers

Total Citations

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About

Roman Zverev is a leading researcher at the intersection of artificial intelligence and civil engineering, with a primary focus on AI-driven methods for the construction and management of buildings. His most cited work, "Artificial Intelligence Methods for the Construction and Management of Buildings" (2023), has garnered 55 citations and explores how AI techniques—including machine learning, computer vision, and autonomous decision-making—can revolutionize building design, structural monitoring, and operational efficiency. Zverev’s contributions are particularly notable for bridging the gap between advanced computational methods and practical construction challenges, demonstrating how self-learning systems can optimize resource allocation, enhance safety protocols, and enable predictive maintenance in real-world infrastructure. His research has been instrumental in shaping the emerging field of intelligent construction management, offering scalable solutions for smart buildings and sustainable urban development. Beyond his citation impact, Zverev is recognized for integrating robotics and planning algorithms into construction workflows, paving the way for fully autonomous building systems. His work continues to inspire engineers and computer scientists alike, positioning him as a key figure in the digital transformation of the built environment.