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About

Guoqi Xie is a leading researcher in cyber-physical systems (CPS), real-time embedded systems, and time-sensitive networking (TSN), with a focus on safety-critical applications in autonomous vehicles, robotics, and industrial automation. His work addresses the fundamental challenge of balancing performance, energy efficiency, and reliability in heterogeneous, distributed architectures. Xie’s most cited paper (2020, 22 citations) introduces ASDYS, a dynamic scheduling strategy for multifunctional mixed-criticality CPS, enabling efficient handling of tasks with varying importance on shared platforms. He has also made seminal contributions to system-level energy-aware design, proposing methodologies that optimize end-to-end response times under strict energy constraints (2019, 15 citations). In the domain of TSN, Xie developed robust delay bound analyses (2021, 10 citations) to guarantee real-time communication over prioritized FIFO queues, a critical requirement for next-generation autonomous systems. His design frameworks for energy-constrained scheduling in heterogeneous multicore embedded devices (2021, 8 citations) further demonstrate his impact, providing practical solutions for battery-powered IoT and mobile platforms. With over 55 total citations across his most influential works, Xie’s research bridges theoretical rigor and real-world deployment, making him a key figure in advancing dependable, energy-aware cyber-physical systems.