Sa Wang

University of Chinese Academy of Sciences

Papers

Total Citations

H-Index

About

Sa Wang is a researcher advancing the intersection of edge computing, low-cost robotics, and practical cloud systems. Her work focuses on enabling resource-constrained platforms—particularly Low-cost Ground Vehicles (LGVs)—to perform complex, intelligent tasks by overcoming severe limitations in battery life and onboard computation. Her most cited paper, "Towards Practical Cloud Offloading for Low-cost Ground Vehicle Workloads" (2021, 2 citations), tackles the critical challenge of computation offloading, proposing efficient strategies to shift heavy processing from local hardware to cloud infrastructure. This contribution is foundational for making autonomous ground vehicles more capable and accessible, with direct implications for logistics, environmental monitoring, and smart agriculture. While her citation count is still growing, her research addresses a pressing bottleneck in real-world robotics deployment. Wang’s work is notable for its pragmatic, systems-level approach—bridging theory and application to solve tangible problems in mobile computing and cyber-physical systems. Her contributions are particularly valuable for students and researchers interested in the future of affordable, intelligent autonomous systems.