From January 26 to 28, Research Fellow Ci Song of the Department of Electrical Engineering and Applied Electronics (EEA) attended ACWA Power Innovation Days 2026, where he delivered an invited talk and took part in the Memorandum of Understanding (MoU) exchange ceremony. The summit, themed Innovate for Impact, was held at The Garage in the Riyadh Innovation District.
Ci Song Delivered a Report
Ci Song delivered an invited talk entitled Frontiers of Industrial AI: Breakthroughs from Research Labs. His talk focused on cutting-edge fields including machine learning, robotics and control theory that are poised to reshape the landscape of the industrial system. He introduced the latest research progress in self-learning algorithms, autonomous inspection platforms and real-time optimization models, and analyzed the maturity of their industrial implementation. Entrusted by EEA, Ci Song represented the department to participate in the MoU exchange ceremony with ACWA Power. The MoU was signed by Kang Chongqing, Dean of EEA, and Thomas Altman, Executive Senior Vice President of ACWA Power, articulating the intentions and goals of both parties to explore future cooperation areas. The cooperation covers, but is not limited to, renewable energy technologies, Dynamic Reconfigurable Battery Network - Battery Energy Storage System Technology (DRBN-BEST), artificial intelligence and big data technologies, as well as smart grid technologies.
Ci Song Attend the MOU Signing and Exchange Ceremony
It is reported that ACWA Power Innovation Days 2026 is the 4th edition of the event. Hosted by ACWA Power and co-organized by the King Abdulaziz City for Science and Technology (KACST), King Abdullah University of Science and Technology (KAUST) and other institutions with the support of the Ministry of Energy of the Kingdom of Saudi Arabia, the event witnessed the signing of 27 strategic cooperation agreements covering industrial artificial intelligence, long-duration energy storage, green hydrogen and other key fields. The event connected world-class universities and research institutions to facilitate the transformation of laboratory prototypes into industrially deployable solutions at scale.
