Introduction to our research

With the introduction of the Industrial Internet of Things (IIoT) and advancement in computing, industries are transitioning into their fourth major revolution called Industry 4.0. Smart Manufacturing is an integrated approach to manufacturing that can combine all elements of the process, from product demand to supply chain to the factory floor. Davis et al. describe smart manufacturing as "the dramatically intensified and pervasive application of networked information-based technologies throughout the manufacturing and supply chain enterprise".

Current Projects

Robust Fault Detection of Manufacturing Machines

Robust anomaly detection and prediction of manufacturing machines using adversarial learning and Transfer learning

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Intelligent Assembly Monitoring

Monitoring human-centric assembly operations in real-time using Deep learning. Can reliably determine the cycle time, step time, and operation anomalies from vision cameras

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Energy Consumption Monitoring

Monitoring the energy consumption of equipment to determine its state, identify anomalies in its operation, and optimize its operation, in an effort towards Green Manufacturing

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