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: Machine Learning and Deep Learning Approaches for Intrusion Detection in
-Internet of Things: A Survey
- With Gab and Adi
Title 5: Edge Device Anomaly Detection of 3D Printers using Bidirectional LSTM
- KICS Summer (Accepted)
Title 6: 3D Printer Anomaly Detection and Prediction: A Survey (tentative)
- Target: Summer Intensive
Title 7: (1)Real-World Anomaly Detection by using Digital Twin and Deep Learning with Edge AI-based
---------(2)Digital Twin Enhanced Anomaly Detection for 3D Printer Monitoring with Edge AI-based
-Target: Thesis
Title 5
- Presented in KICS Summer
Title 7
- Brainstorming
- Survey-related papers
Title 1
- Finish the comments and suggestions
- Submit to Professor Kim for approval
Title 7
- Survey papers
- Discuss with colleagues
- Learn digital twin
- Learn more about the platform of the Cretivia
3DP Project
- Study the documentation from the company
- Translated document
- Team meeting
- Discuss the guide in the dataset
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. Learn about digital twin for my thesis/journal
- Online tutorials
- Journals
- apply what I learned to my research and thesis
2. Journal
- ICT Express Paper (Pr)
- IEEE TIE (Pr)
- Survey Paper (Pr)
1. Publish two or three conference papers (Domestic/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)