Papers

Paper 1: Working on a Secure Collaborative Learning System Using Blockchain (initiative)

Paper 2: Anomaly Detection in management execution systems (initiative)

Paper 3: Real and AI-generated image detection (initiative)
Target: KICS

Last Week's Progress

- Learning anomaly detection models, and understanding datasets.
- Reading papers on anomaly detection from images.
- Reading Secure Collaborative Learning papers.

This Week Todo's

- Implementation of the model for anomaly detection (Autoencoder & Transfer Learning such as ResNet50, DenseNet121, Xception, Inceptionv3, EfficientNet).
- Reading about Federated Learning, Secure Collaborative Learning, and anomaly detection models.
- Reading NSLab papers for presentation.

Project Progress

Project 1: Manufacturing Execution Systems.

Project 2: Data Distribution Services (DDSs).

Last Week's Project

- 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.

This Week's Project

- Trying new models (Autoencoder & Transfer Learning such as ResNet50, DenseNet121, Xception, Inceptionv3, EfficientNet)) and data augmentation on previous model.
- Implementing simple DDS.

Monthly Goals

- Learning Deep Learning, Autoencoder, Transfer Learning, Hyperledger Fabric, Robotics, DDS, ROS2.

Annual Goals

- Publish at least one Q1 International Journal.
- Attend international conferences and domestic conferences.