Ming Jin received his Bachelor of Engineering. degree (with honors) in Electronic and Computer Engineering from the Hong Kong University of Science and Technology. He is currently working towards a Ph.D. in Electrical Engineering and Computer Science at the University of California, Berkeley. His current research interests include optimization, statistical learning, and control theory, with applications to mobile sensing, intelligent building, and transportation systems.
We provide U.S. policymakers and the U.S. Department of Energy with the latest data, technology, policy and strategic insights related to energy use in China. A key goal is to develop a level, competitive playing field for U.S. products, technologies and companies in China through training, technology and testing standards and program implementation. We also help U.S. companies understand, identify and expand target markets in China.
Lawrence Berkeley National Laboratory is an expert on energy use in China and a catalytic actor in providing data to U.S. policymakers about China, its energy use and opportunities for U.S. industry to do business in China. Berkeley Lab's China Energy Group work advances U.S. national security and economic prosperity, demonstrates American generosity, and promotes a path to recipient self-reliance and resilience.
Tools & Guidebooks
Berkeley Lab has been the epicenter for the creation of some of the most powerful tools, models, software, and data resources designed to inform and assist policymakers, support industry innovation, and advance the impact of research.