Shaohua Cao

China University of Petroleum, East China

Papers

Total Citations

H-Index

About

Shaohua Cao is a pioneering researcher at the intersection of artificial intelligence, blockchain technology, and workforce equity. Her work focuses on leveraging deep learning and decentralized systems to address systemic biases in labor markets, particularly within the construction industry. In her highly cited 2024 paper, "Deep Learning and Blockchain-Driven Contract Theory: Alleviate Gender Bias in Construction," Cao introduces a novel framework that combines AI-driven worker assessment with blockchain-based contract theory to mitigate gender discrimination in recruitment. This research, already garnering 5 citations, demonstrates how teleoperation and robotic technologies are reshaping hiring criteria, enabling employers to identify qualified workers based on skill rather than gender. Cao’s contributions are critical as automation transforms traditional industries, offering a blueprint for fairer, data-driven hiring practices. Her work has significant implications for policymakers, HR professionals, and technologists seeking to build inclusive workplaces in the age of Industry 4.0. By integrating contract theory with cutting-edge AI and blockchain, Cao is at the forefront of ensuring that technological progress does not perpetuate historical inequities.