Bio

Ruozhou Yu is an Assistant Professor in the Department of Computer Science at NC State University. Ruozhou’s research interests are broadly in the areas of computer networks, distributed systems and cybersecurity. His current research is focused on building high-performance, robust and usable systems for smart and connected communities, stemming from the Internet-of-Things, cloud and edge computing, wireless and mobile networks, security and privacy, data analytics and machine learning, the blockchain, and quantum networks. He is also working on the anonymity, scalability and applicability of blockchain-based systems, such as layer-2 channel networks, smart contracts, etc. Besides these, Ruozhou has worked on incentive mechanisms, crowdsourcing and mobile crowdsensing, data center networking, software-defined networking, wireless networks, etc. The long term goal of Ruozhou’s research is both to advance theoretical knowledge in large-scale connected systems including modeling and learning, algorithms, optimization, theories of games, and provable security, and to design and develop high-performance, robust and usable systems that will turn into practical innovations.

Area(s) of Expertise

Algorithms and Theory of Computation
Cloud Computing
Cyber Security
Embedded and Real-Time Systems
Networking and Performance Evaluation
Parallel and Distributed Systems

Publications

• AHEAD: Adaptive Neural Acceleration for Large-Scale Linear Programming , arXiv (Cornell University) (2026)
• DPRQ: A Dynamic Programming-based Qubit Routing Algorithm for Collective Communication in Distributed Quantum Computing , (2026)
• Enforcing Service Level Agreements With Verifiability and Privacy in Pervasive Edge Computing Environments , IEEE Transactions on Mobile Computing (2026)
• STAR-GS: Truthful and Visibility-Aware Resource Scheduling for Ground Station as a Service , arXiv (Cornell University) (2026)
• STAR-GS: Truthful and Visibility-Aware Resource Scheduling for Ground Station as a Service , IEEE International Conference on Network Protocols (ICNP) (2026)
• ShardTree: An Efficient Cross-Shard Protocol via Multi-party Virtual Payment Channel , IEEE Conference on Computer Communications (INFOCOM) (2026)
• Traffic Engineering in Large-Scale Networks With Generalizable Graph Neural Networks , IEEE Transactions on Networking (2026)
• Twin-Guided Meta Learning for Generalizable UAV Trajectory Planning in Low-Altitude Wireless Networks , International Conference on Computer Communications and Networks (ICCCN) (2026)
• Wormholes in Space: Unveiling Wormhole Attack in Low Earth Orbit Satellite Networks , 2012 International Conference on Computing, Networking and Communications (ICNC) (2026)
• AdaOrb: Adapting In-Orbit Analytics Models for Location-aware Earth Observation Tasks , IEEE International Conference on Pervasive Computing and Communications (PerCom) (2025)

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