Zi Wang Email & Phone Number

Research Interests: • Multi-access Edge-Cloud Computing • Deep Learning • Applied Machine Learning • Federated LearningMy research contributions have been to design efficient models to improve the performance of mobile edge-cloud network traffic prediction by using deep learning models such as RNNs, GANs, and GNNs and to explore the spatial and temporal characteristics of network traffic in the improvement of prediction models. My current research works on leveraging Federated Learning and Continual Learning to further improve the efficiency of the spatial-temporal prediction model in edge-cloud computing while preserving the data privacy of users. I see my doctoral training in intelligent network traffic prediction as to the starting point for my long-term research on the exploitation in the field of intelligent edge-cloud networks for the future Internet. My current knowledge of research and programming skills, as well as my enthusiastically learning will, can help me to engage with new projects quickly.