Yaxian Dong

Papers

Total Citations

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About

Yaxian Dong is a pioneering researcher at the intersection of artificial intelligence, blockchain technology, and social equity in the construction industry. Her work focuses on leveraging deep learning and decentralized systems to address systemic biases in workforce recruitment, particularly gender discrimination. In her most-cited paper, "Deep Learning and Blockchain-Driven Contract Theory: Alleviate Gender Bias in Construction" (2024, 5 citations), Dong introduces a novel framework that combines AI-driven candidate evaluation with blockchain-based smart contracts to ensure transparent, merit-based hiring. This approach not only identifies qualified workers based on emerging teleoperation and robotic skills but also mitigates long-standing gender disparities in a traditionally male-dominated field. Her contributions are especially timely as the construction sector undergoes digital transformation, redefining job qualifications. While early in her career, Dong’s work has already garnered attention for its innovative fusion of technical rigor and social impact, positioning her as a rising voice in ethical AI and equitable labor practices. Her research offers a blueprint for integrating fairness into automated hiring systems, making her a notable scholar for students and researchers interested in AI ethics, blockchain applications, and inclusive technology design.