Papers:
Paper 1: Token-based E-Learning System Harnessing Hyperledger Besu (intuitive)
Target: ICMIC 2024
Paper 2: Anomaly Detection in management execution systems (intuitive)
Paper 3: Review paper based on Real and AI-generated image datasets (intuitive)
Target: KICS Summar
- 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 papers on anomaly detection from images, token-based learning, real and AI-generated image detection, secure collaborative learning, federated learning
- Preparing 10k AI generated dataset and real-life dataset
- Finalizing ICMIC paper
- Creating Hpyerledger Besu network, smart contract, and benchmark
Project 1: Manufacturing Execution Systems.
- Working on Solar PV dataset using VGG16
- Hyperparameter tuning on the Solar PV dataset using VGG16 to improve results
- Learning Deep Learning, Hyperledger Fabric & Besu
- Publish at least one Q1 International Journal.
- Attend international conferences and domestic conferences.