Papers
1
Total Citations
19
H-Index
1
About
Tie Qiu is a leading researcher in cloud robotics and green computing, with a focus on developing sustainable, energy-efficient software frameworks for intelligent systems. His most-cited work, "A novel green software evaluation model for cloud robotics" (2017, 19 citations), introduces a pioneering evaluation model that assesses the environmental impact of software in cloud-based robotic systems. This contribution is critical in an era where energy consumption and carbon footprints are pressing concerns in robotics and cloud computing. Qiu’s research bridges the gap between software engineering and environmental sustainability, offering practical metrics for designing greener, more efficient robotic applications. His work has influenced both academic research and industry practices, particularly in optimizing resource allocation and reducing waste in cloud robotics. By combining theoretical modeling with real-world applicability, Qiu has established himself as a key figure in the intersection of green computing and robotics. His ongoing efforts continue to shape how researchers and engineers approach the design of eco-friendly, high-performance autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1A novel green software evaluation model for cloud robotics19 citations · 2017