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Edge IoT Infrastructure Research for Telecom Operations
This research investigates how edge-connected IoT infrastructure influences telecom network stability, resilience, and operational visibility in large-scale, operator-managed environments.
Research Focus Areas
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1. IoT Infrastructure Health Modeling
Studying how device-level degradation, instability, or misconfiguration manifests within telecom network telemetry and impacts service reliability.
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2. Edge-Side Signal Interpretation
Exploring methods to detect early indicators of IoT-related failures at gateways and edge nodes before they escalate into network-level incidents.
By embedding intelligence directly into IoT environments, Edge AI and TinyML are reshaping the way next-generation networks adapt, scale, and deliver value.
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3. Noise-to-Signal Reduction​​
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Developing approaches to reduce false alarms and non-actionable alerts in massive IoT environments, enabling operators to focus on meaningful, predictive signals.
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