FNU Sumaiya
Papers
1
Total Citations
1
H-Index
1
About
FNU Sumaiya is a rising researcher at the forefront of connected autonomous vehicle systems, with a primary focus on edge-assisted perception and real-time sensor data fusion. Her most-cited work, "Reaction Latency Analysis of Message Synchronization in Edge-assisted Autonomous Driving" (2025), tackles a critical bottleneck in autonomous navigation: the challenge of fusing timestamp-disparate data from onboard and edge sensors. By rigorously analyzing reaction latencies introduced by message synchronization, Sumaiya provides foundational insights into how edge computing can be leveraged to maintain safe, low-latency environmental perception—a key enabler for next-generation autonomous driving. Her research directly addresses the practical hurdles of integrating heterogeneous sensor streams, offering solutions that balance computational load with real-time performance. While her citation count is still growing, her work has already been recognized for its timely relevance to the industry’s shift toward cloud- and edge-augmented driving systems. Sumaiya’s contributions are particularly valuable for students and engineers working on the intersection of robotics, distributed systems, and vehicular safety, as she systematically quantifies the trade-offs that define reliable edge-assisted autonomy.
Research Focus
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Top Papers
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