A Summary of ICDE 2022 Research Session Panels

In the 38th IEEE International Conference on Data Engineering (ICDE), 2022, panel discussions were introduced after paper presentations to facilitate in-depth exploration of research topics and encourage participation. These discussions, enriched by diverse perspectives from experts and active audience involvement, provided fresh insights and a broader understanding of each topic. The introduction of panel discussions exceeded expectations, attracting a larger number of participants to the virtual sessions. This article summarizes the virtual panels held during ICDE’22, focusing on sessions such as Data Mining and Knowledge Discovery, Federated Learning, Graph Data Management, Graph Neural Networks, Spatial and Temporal Data Management, and Spatial and Temporal Data Mining. By showcasing the success of panel discussions in generating inspiring discussions and promoting participation, this article aims to benefit the data engineering community, providing a valuable resource for researchers and suggesting a compelling format of holding research sessions for future conferences.