Paper 1: Advanced Education and Evaluation using Token-based E-Learning System Harnessing Hyperledger Besu (intuitive)
Paper 2: Anomaly Detection in management execution systems (intuitive)
Paper 3: Collaborative Learning based Real and AI-generated image detection (intuitive)
Target: KICS Summar
- Learning anomaly detection models, and understanding datasets
- Reading papers on anomaly detection from images
- Reading Secure Collaborative Learning papers
- Implementation of the model for anomaly detection (Autoencoder & Transfer Learning such as ResNet50, DenseNet121, Xception, Inceptionv3, EfficientNet).
- Learning about Federated Learning, Secure Collaborative Learning, anomaly detection, image detection, and AI-Image generation
- Reading NSLab papers for presentation
- Reading papers on Blockchain in Education
Project 1: Manufacturing Execution Systems
Project 2: Data Distribution Services (DDSs)
- Understanding the current anomaly detection algorithm implementation and dataset.
- Reading Data Distribution Services (DDSs) documentation.
- Preparing a simple prototype of Publisher/Subscriber using FAST DDS.
- Trying new models (Autoencoder & Transfer Learning such as ResNet50, DenseNet121, Xception, Inceptionv3, EfficientNet)) and data augmentation on the previous model.
- Implementing a simple DDS node to demonstrate data transmission
- Learning Deep Learning, Autoencoder, Hyperledger Fabric & Besu, Robotics, DDS, ROS2.
- Publish at least one Q1 International Journal.
- Attend international conferences and domestic conferences.