Title 1: Multimodal 3D printer fault classification using Bi-LSTM
- Target: ICT Express
Title 2: Intelligent Fault Classification of 3D Printers Using Long Short-Term Memory
- KICS Winter (Accepted)
Title 3: Machine Learning and Deep Learning Approaches for Intrusion Detection in
-Internet of Things: A Survey
- With Gab and Adi
Title 4: Edge Device Anomaly Detection of 3D Printers using Bidirectional LSTM
- KICS Summer (Accepted)
Title 5: A Survey on Artificial Intelligence Approaches for 3D Printing Anomaly Detection
- Target: IEEE Transaction on Industrial Electronics (Summer Intensive)
Title 7: (1) Real-World Anomaly Detection using Digital Twin and Deep Learning with Edge AI
---------(2) Digital Twin Enhanced Anomaly Detection for 3D Printer Monitoring with Edge AI
-Target: Thesis
Title 6
- Received suggestions and comments from my senior
- Work on the suggestions and comments
Title 7
- Met with Prof Lee and received suggestions and comments
- Worked with the introduction
- Worked with chapter II
Title 6
- Work on the suggestions and comments
- Finish revising and submit for approval
Title 7
- Continue working with the chapters
- Implementation
- Paper writing
3DP Project
- Received additional dataset
- Validated the dataset
- Await for the new task from Adi
- Apply or use the dataset for my thesis
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 journal
- Online tutorials
- Journals
- apply what I learned to my thesis or journal
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 ✓
- KICS Fall
2. Publish at least one International Journal (SCI/SCIE)
- ICT Express (finalizing)
- IEEE TIE (working on progress)
- Survey Paper (working on suggestions/comments)