Saju Mohanan

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About

Saju Mohanan is a researcher at the forefront of time-critical Internet of Things (IoT) systems, specializing in the intersection of cloud infrastructure, latency analysis, and real-time data processing. His work addresses a fundamental challenge in modern computing: ensuring ultra-low latency for life-critical applications such as driverless vehicles and robotic surgical arms. In his highly cited 2022 paper, "Latency Analysis of Cloud Infrastructure for Time-Critical IoT Use Cases," Mohanan systematically dissects the factors—including artificial intelligence processing overhead—that introduce delays in real-time intelligent systems. This contribution has garnered 9 citations, establishing a foundational framework for engineers designing latency-sensitive architectures. By bridging the gap between cloud computing and edge-level responsiveness, Mohanan’s research directly impacts the safety and reliability of autonomous systems. His work is essential reading for students and researchers tackling the performance bottlenecks of next-generation IoT deployments, where milliseconds determine success or failure.