Junjie Shi

Papers

Total Citations

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About

Junjie Shi is a rising researcher in real-time embedded systems, with a focus on scheduling and analysis of complex parallel workloads on multi-core platforms. His work addresses critical challenges in safety-critical cyber-physical systems, particularly in automotive and robotics domains, where hard real-time constraints must be met. Shi’s most cited paper, “DAG Scheduling with Execution Groups” (2024), introduces a novel approach to scheduling sporadic Directed Acyclic Graph (DAG) tasks, enabling more efficient and predictable execution on multi-core processors. This contribution is vital for ensuring timing guarantees in increasingly complex applications. With 5 citations already, his work is gaining traction in the real-time systems community. Shi’s research stands out for its practical relevance, directly impacting the design of dependable embedded systems. He is also recognized for his ability to bridge theoretical scheduling models with real-world constraints, making his findings valuable for both academia and industry. As the demand for safe, high-performance autonomous systems grows, Junjie Shi’s contributions are poised to become foundational in the field.