Zhe Peng
Papers
1
Total Citations
10
H-Index
1
About
Zhe Peng is a researcher at the forefront of augmented reality (AR) and privacy-preserving location-based services. His work addresses a critical tension in modern computing: how to deliver immersive, context-aware AR experiences without compromising user privacy. Peng’s most cited paper, “EPAR: An Efficient and Privacy-Aware Augmented Reality Framework for Indoor Location-Based Services” (2022, 10 citations), introduces a novel framework that balances real-time performance with robust data protection. This contribution is especially vital for indoor environments, where GPS is unreliable and sensitive location data is at risk. By proposing efficient cryptographic and anonymization techniques, Peng enables AR-integrated robots and mobile devices to interact seamlessly with users while safeguarding personal information. His research has implications for smart buildings, healthcare, and human-robot collaboration, where trust and responsiveness are paramount. Peng’s work is gaining traction as AR moves from labs into everyday applications, and his focus on privacy ensures that this technological leap does not come at the cost of user security. For students and researchers, Peng’s research offers a compelling blueprint for building the next generation of intelligent, ethical, and user-centric spatial computing systems.
Research Focus
Key Achievements
Top Papers
- 1