Ming-Dong Yuan, a senior engineer, received the B.S. degree in Agricultural Electrification and Automation from Sichuan Agricultural University in Ya'an, China, in 2009, and earned his Ph.D. degree in Signal and Information Processing from Xidian University in Xi'an, China, in 2017. After graduation, he joined the Smart City Research Institute at China Electronics Technology Group Corporation as an R&D engineer. He is now a staff member at Guangdong Polytechnic of Environmental Protection Engineering. His research interests focus on deep learning and machine learning technologies and their applications in smart city management, transportation systems, public security, and related domains. He has authored more than 10 SCI/EI international journal papers and has been granted more than 10 Chinese invention patents. At the same time, he serves as a reviewer for more than 12 internationally renowned journals, including IEEE TCYB, IEEE TNNLS, IEEE TCSVT, etc. He is also a member of the China Computer Federation (CCF) and the Chinese Association for Artificial Intelligence (CAAI) and has also been honored with the Second Prize for Science and Technology Progress by Guangdong Province and the China Electronics Society for the year 2022.