Dr. Liu's research focuses on the data management and processing in various emerging computing environments, such as wireless broadcasting, mobile ad hoc networks, cloud computing, IoT, edge computing, and etc. As the processed data sets become so big and complex, the traditional data-processing approaches are inadequate to deal with them. In his research, different aspects are considered when processing the current data sets, including the 5V’s of big data: volume, variety and velocity veracity and value as well as the processing architectures and tools. To support efficient responses when manipulating the data in different computing environments, Dr. Liu’s research considers many types of queries, such as point query, rectangle query, nearest neighbor query, skyline query, top-k query, and etc. The objectives of his research are to (1) provide effective and efficient ways for uses to access and analyze the data easily and (2) suggest better solutions for big data processing architectures.