Fast and scalable fault resilience analysis for deep neural networks
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Jul 15, 2025 - Python
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resilience-analysis
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A C++ implementation of an analysis tool for water supply networks, enabling maximum flow computation, deficit detection, and failure simulation in an interactive environment, developed for the Algorithm Design course at FEUP.
algorithms cpp data-structures graph-theory network-analysis algorithm-design max-flow water-supply edmonds-karp resilience-analysis
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Nov 7, 2025 - C++
Applying Graph Neural Networks (GNNs) to predict congestion and analyze resilience in complex logistics hubs. Features dynamic graph modeling, spatio-temporal forecasting, MLOps deployment on GCP Vertex AI, and API integration. Demonstrates end-to-end ML system development.
network-science pytorch data-engineering predictive-modeling google-cloud-platform spatio-temporal graph-neural-networks mlops fastapi pytorch-geometric gnn vertex-ai congestion-prediction resilience-analysis logistics-supply-chain
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Updated
May 6, 2025
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