Hailing Fu, Professor, Doctoral Supervisor, School of Automation, Beijing University of Technology, National Young Talents. Mainly engaged in research on low power intelligent sensing and ubiquitous energy capture of autonomous intelligent systems, in Joule (IF:39.8), MSSP, IEEE IoTJ, etc. Published more than 50 papers in journals and conferences in the field of information and energy. In 2018, he received a Ph.D. from Imperial College and won the best doctoral thesis. Since then, he has continued to engage in postdoctoral research at Imperial College. In 2019, he was appointed as an assistant professor at the School of Electromechanics and Manufacturing, Loughborough University, UK. In 2022, he was awarded the National Overseas High-level Talent Youth Program and returned to China full-time. He presided over the National Nature Fund, European Horizon Program, Beijing City Xiaomi Joint Fund Key Project and Aviation Science Fund. In 2023, he was selected into Elsevier's Top 2% Global Scientists Scientific Impact List.