Li Feng, male, PhD, professor, graduated with a PhD in Communication and Information Engineering from Harbin Institute of Technology in 2013. He was a senior visiting scholar at Nanyang Technological University in Singapore from 2017 to 2019, and a postdoctoral fellow in the field of communication at Nanjing University in 2019. Hosted and participated in multiple national and provincial-level scientific research projects, published multiple papers in top international journals such as IEEE TCO, TSC TVT, TII WCM, and served as an editorial board member for international journals and conferences throughout the year. Lecture on courses such as communication principles and information theory.

Research direction 1: Intelligent healthcare based on artificial intelligence

Cooperate with large tertiary hospitals such as the Fourth Military Medical University of China Medical University to develop and apply medical information systems, scientific research big data systems, and intracardiac image analysis systems. To truly apply artificial intelligence in the forefront of medicine, combined with medical big data, analyze and solve problems such as intelligent extraction, disease prediction, image segmentation, and recognition in massive medical data.

Research direction 2: satellite Internet of Things based on edge computing, blockchain and deep learning

The cutting-edge technologies such as blockchain and artificial intelligence are applied to the satellite Internet of Things system to solve the key scientific problems of resource optimization, traffic prediction and privacy protection in edge computing of the Internet of Things. This project has been collaborating with Nanyang Technological University in Singapore, RMIT University in Australia, and Dalian Maritime University in China for a long time, and has gradually built practical system platforms.

Research direction 3: Financial prediction based on artificial intelligence and sentiment analysis

Using artificial intelligence, sentiment analysis, weather forecasting and other methods, a team is constructed to analyze and predict the price index of mainstream domestic and foreign futures products, and artificial intelligence is introduced into financial forecasting. We will collaborate with domestic and foreign futures companies in the later stage to complete more accurate modeling analysis and evaluation.