Title 1: Multimodal 3D printer fault classification using Bi-LSTM
- Target: ICT Express
Title 2: Edge AI-based 3D Printer Monitoring and Fault Prediction
- Target: IEEE Transaction on Industrial Electronics
Title 3: Intelligent Fault Classification of 3D Printers Using Long Short-Term Memory
- KICS Winter (Accepted)
Title 4: 3D Printer Anomaly Detection and Prediction: A Survey (tentative)
- Target: --
Title 5: Machine Learning and Deep Learning Approaches for Intrusion Detection in
Internet of Things: A Survey
- With Gab and Adi
Title 6: Anomaly Inspection in 3D Printer using deep learning-based
- KICS Summer
Title 2
- Dataset collection
- Annotate collected data
- Paper writing
Title 6
- Finish the paper
Title 2
- Continue with the dataset
Title 6
- Submit it to KICS Summer
3DP Project
- Fixed the issue in the final report
- Received feedback from Engr. Bek
- Submitted report to Conception
- Fix the issue and submit progress
- Study and apply dataset annotation
1. Learn more about machine learning and deep learning with Python
- Online tutorials
- Re-simulate what I learned
- Apply what I learned to my research
2. Journal
- ICT Express Paper (Pr)
- IEEE TIE (Pr)
- Survey Paper (Pr)
1. Publish two or three conference papers (Domestic and International)
- KICS Winter ✓
- KICS Summer (Submitted)
2. Publish at least one International Journal (SCI/SCIE)
- ICT Express (working on progress)
- IEEE Transaction on Industrial Electronics (working on progress)
- Survey Paper/Dataset collection (working on progress)