Shuo Liu (刘硕)
I am a Ph.D. candidate at the School of Computer Science and Technology, Shandong University (SDU), Class of 2022. I am a member of the Blockchain and Distributed Security Lab, where I am privileged to be advised by Prof. Minghui Xu and Prof. Xiuzhen Cheng.
Research Interests
- Distributed Systems: Byzantine Fault-Tolerant (BFT) Consensus.
- Wireless Networking: Secure Coordination of Unmanned Swarms & Satellite Networks.
- Robotics Systems: Reliable, secure, and hardware-aware runtime support for ROS 2, physical AI, and networked robot swarms.
Current Direction
I am currently exploring the systems layer of robot middleware for embodied AI: how learned robot policies can be executed reliably across real robots and networked robot teams. I am particularly interested in the performance, reliability, and security challenges of deploying embodied-AI systems in real-world environments.
My long-term goal is to build dependable and scalable systems infrastructure for embodied AI, enabling robots to operate safely and efficiently in real-world environments, both individually and as part of multi-robot systems. Toward this goal, I am interested in several directions: robust coordination and collective decision-making for multi-robot systems using wireless BFT consensus; system-level support for embodied AI, such as ROS 2 and Dora, with a focus on improving the reliability, efficiency, and security of robot learning workloads in real-world environments.
News
Selected Publications
Conference Papers
Journal Articles
Academic Services
Program Committee
- EuroSys ‘26 (Shadow PC)
Journal Reviewer
- IEEE TIFS, TMC, TC, TWC
Teaching at SDU
| Course | Role | Period |
|---|---|---|
| Introduction to Cryptography | Teaching Assistant | Fall 2021–2026 |
| Introduction to Blockchain | Teaching Assistant | Fall 2023–2025 |
