[1] Fault detection in 3d printers (Thesis/Summer Intensive)
- Summer intensive seminar phase 3
* Train data using a public dataset
* Optimize the network (change some hyperparameters)
* Plot result (graph, confusion matrix)
- Assemble and test the Rasp Pi with some sensors
- Collect Data
- Write a paper with Mark (machine learning and deep learning part)
Manufacturing Execution System (MES)
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- Background study about the project
- Look for the possibilities research areas in the MES field (prediction and anomaly detection)
- Survey paper regarding prediction in inventory management
- Submit ICTC
- Finish summer intensive
- Start writing a thesis book
- Submit domestic and international conferences
- Submit journal
- Graduate