The main research interests of Professor Sheng-De Wang are on the design and analysis of embedded systems, cloud computing, Optimization and Refinements of Deep Learning Models, and IoT Data Analysis. Research topics on embedded systems include power-aware hardware/software codesign and applications of embedded Linux operating systems. Cloud computing tries to virtualize the resources of computing and storage in the Internet such that it can provide secure and scalable services. Approaches of Deep Learning Models Optimization and Design include using Neural Architecture Search (NAS) and Model Pruning.