Talent Development in the Energy Sector in the AI Era

Artificial intelligence is accelerating the digital and intelligent transformation of the energy industry, placing higher demands on the knowledge structure, practical capabilities, and innovative literacy of energy professionals. The traditional talent cultivation model, which primarily focuses on single-discipline knowledge transmission, urgently needs to evolve towards interdisciplinary integration, the fusion of digital and intelligent technologies, and industry-academia collaborative education. This sub-forum focuses on new concepts and pathways for talent cultivation in the energy sector in the AI era, exploring innovations in curriculum design, textbook development, and practice-oriented education models. It aims to promote the effective alignment of educational content with industrial demands, providing an exchange platform and practical reference for cultivating interdisciplinary innovative talents capable of meeting the needs of energy technology advancement.

Chairs:

Yi An, Dalian University of Technology, China

Yanbing Jia, Taiyuan University of Technology, China