International Eurasian Academy of Sciences, IEAS

Academician

Shengjie ZHAO

Profile:

Elected Academician of the International Eurasian Academy of Sciences in 2018, Professor Shengjie Zhao is a Chinese computer scientist whose career has focused on artificial intelligence, computer vision, digital signal processing, wireless communications, and intelligent urban systems. Born in 1965, he received his bachelor’s degree in radio electronics from the University of Science and Technology of China, his master’s degree in electrical and computer engineering from the Second Research Institute of the China Aerospace Science and Industry Corporation, and his doctorate in electrical and computer engineering from Texas A&M University. He subsequently spent more than two decades in international industrial research, including at Bell Laboratories, where he was elected to the Bell Labs Technical Academy. Returning to China in 2013, he joined Tongji University as a Professor in the College of Electronic and Information Engineering and later served as Dean of the School of Software. He is now Professor at Tongji University’s College of Computer Science and Technology and Director of the Ministry of Education Engineering Research Centre for Major Engineering Software Technology of Smart City Sensing and Planning. He has also held positions in professional and advisory organisations, including the Thousand Talents Plan Experts Association, the China Invention Association, and the Institute of International Technoeconomics of the Development Research Centre of the State Council. He is an Academician of the Bell Labs Technical Academy and a Fellow of the China Invention Association, and was named a Person of the Year in Science in China in 2014.

Back to list page →

Professor Zhao’s research has centred on artificial intelligence, computer vision, the Internet of Things, and urban sensing and decision-support systems. He has served as Chief Scientist for several national major research programmes, including projects on broadband wireless mobile communications, IoT and smart-city technologies, and sustainable urban development, and leads a National Natural Science Foundation of China project on intelligent visual analysis for marine fish identification. His research has addressed video transmission over broadband mobile networks, sensing and high-precision positioning in complex urban environments, and secure sharing of heterogeneous smart-city resources. His team has developed technologies for large-scale IoT-based spatial sensing and three-dimensional urban modelling, as well as integrated command and management systems for smart-city applications. Through sustained industry–university collaboration, these technologies have been applied in smart-city and urban-management projects in Beijing, Yunnan, Kunming, and Shanghai. In 2025, his team ranked first in the CVPR Hyper-Spectrum Sensing Challenge, a computer-vision competition focused on multimodal perception. Professor Zhao has published more than 200 papers in journals and conferences including CVPR, IEEE Transactions on Image Processing, International Journal of Computer Vision, and IEEE Transactions on Multimedia, and has received more than 10,000 citations. He holds more than 70 authorised patents and has authored two monographs. His honours include the First Prize of the Shanghai Science and Technology Progress Award and the First Prize of the Ministry of Education Technological Invention Award. Through research spanning AI, computer vision, communications, and intelligent urban systems, Professor Zhao has contributed to the development and engineering application of AI-enabled sensing and smart-city technologies in China.