Erik Elmroth

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About

Erik Elmroth is a leading researcher in distributed systems, with a primary focus on edge computing, resource management, and cloud infrastructure. His work addresses critical challenges in optimizing latency, energy efficiency, and computation for mission-critical applications, particularly in sectors like disaster management and healthcare. Elmroth’s major contributions include developing frameworks for interference-aware resource allocation in live edge video analytics, as demonstrated in his highly cited paper "RAVAS: Interference-Aware Model Selection and Resource Allocation for Live Edge Video Analytics" (2023, 6 citations). This work tackles the dynamic processing loads from mobile cameras, such as those on autonomous robots or vehicles, ensuring precise, low-latency video stream processing on shared edge GPUs. His systematic review "Resource Management for Mission-Critical Applications in Edge Computing" (2025, 6 citations) further consolidates open issues and recent advances, guiding future research in deploying UAVs and autonomous systems. With a citation count reflecting his growing influence, Elmroth’s research is pivotal for enabling real-time, reliable edge services in high-stakes environments, making him a key figure in the evolution of distributed computing architectures.