Abdullah Al Arafat

University of Central Florida, North Carolina State University

Papers

Total Citations

169

H-Index

About

Abdullah Al Arafat is a rising researcher at the intersection of real-time systems and robotics, whose work is shaping the future of safety-critical autonomous software. His primary research areas include real-time scheduling, mixed-criticality systems, and the timing analysis of robotic operating systems. Dr. Arafat’s most impactful contribution is his comprehensive survey on machine learning in real-time Internet of Things (IoT) systems, which has garnered over 120 citations, establishing a foundational reference for integrating AI into time-sensitive embedded environments. He has made significant strides in the formal modeling of ROS 2, the leading robotics framework. His 2022 paper on response time analysis for dynamic priority scheduling in ROS 2 (34 citations) addressed a critical gap in providing timing guarantees for safety-critical robotics. Extending this work, his 2024 study on dynamic priority scheduling for multithreaded ROS 2 executors with shared resources (9 citations) proposes novel scheduling designs that go beyond default configurations. Additionally, his research on compositional mixed-criticality systems (6 citations) advances modular, hierarchical architectures essential for modern autonomous systems in automotive and robotics domains.