Paper 1: Advanced Anomaly Detection in Manufacturing System: An Optimized Multi-CNN Ensemble Learning Approach (Under review)
Target: IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)
Paper 2: Federated Semi-Supervised Digital Twin for Enhanced Human-Machine Interaction in Industry 5.0 (Submitted)
Target: ICTC 2024
Paper 3: FMACNN: Federated Multi-Attention CNN Framework for Artificial Image Detection
Target: IEEE Transactions on Image Processing
- Completed ICTC 2024 Paper and submitted.
- Result simulation and evaluation, Paper 3.
Project 1: ITRC Digital Twin
- Attending project meetings to have a project overview.
- Studying Digital Twin application in Warehouse Logistics, Sensor data collection, Tracking time, location, and UWB device.
- Learning Digital Twin, LLM, Generative AI, Transformers, Encoder-Decoder, Stable Diffusion, Architectures and their implementation.
- Publish at two Q1 International Journals.
- Attend international conferences and domestic conferences.