Dr. JiaYi Liu is a distinguished researcher from Hunan University, specializing in artificial intelligence applications in educational technology and intelligent learning systems. He holds a Ph.D. and has conducted pioneering research in AI-driven personalized learning, machine learning algorithms for educational data mining, and intelligent tutoring systems. His work focuses on leveraging artificial intelligence to create adaptive learning environments that enhance student engagement and learning outcomes. Dr. Liu has published extensively in top-tier international journals on AI in education and has been invited to speak at major conferences worldwide. His research contributions have significantly advanced the understanding of how AI technologies can transform traditional educational practices, making him a leading authority in the intersection of artificial intelligence and education.

Associate Professor Xingwang Pi is a recognized expert in vocational education technology and AI-enhanced technical training systems. His research specializes in the integration of artificial intelligence tools in vocational education, particularly in developing intelligent assessment systems and automated skill evaluation platforms for technical education. Professor Pi has extensive experience in implementing AI-powered learning analytics to improve student performance in vocational training programs. He has published numerous scholarly articles on the application of machine learning in technical education and has been instrumental in developing innovative AI-based teaching methodologies for vocational institutions. His work bridges the gap between theoretical AI concepts and practical implementation in vocational education settings, contributing to the advancement of smart learning environments in technical education.

Professor Yanjuan Li is a leading expert in human resource development and AI applications in workforce training and education policy. Her research focuses on the strategic implementation of artificial intelligence in professional development programs and the policy implications of AI integration in educational systems. Professor Li has extensive experience in analyzing the impact of AI technologies on skill development and career advancement, with particular emphasis on how intelligent systems can enhance human resource management in educational contexts. She has contributed significantly to the development of AI-driven training frameworks and has published widely on the intersection of artificial intelligence, education policy, and workforce development. Her expertise in policy formulation and AI implementation strategies provides valuable insights into the regulatory and strategic aspects of AI adoption in educational institutions.