Causal Inference for Early Detection of Hardware Failure

Use time-series sensor data to detect wear-out of a hardware component, e.g. HDD or SSD in a storage array. Longitudinal causal inference techniques will omit redundant covariates or features that might be correlated with the failure but do not help in the prediction task.

Project PIs: Negar Kiyavash, Maxim Raginsky, Elyse Rosenbaum

Research Thrust: Theory and Machine Learning Efficiency

Research Timeline Jan 1, 2018 – Dec 31, 2018