Papers

Paper 1: Federated Semi-Supervised Digital Twin for Enhanced Human-Machine Interaction in Industry 5.0
Target: ICTC 2024 (Accepted)

Paper 2: FMACNN: Federated Multi-Attention CNN Framework for Artificial Image Detection
Target: IEEE Transactions on Information Forensics and Security (Under review)

Paper 3: MMNet: Multimodal Neural Network Framework for Emotion Recognition via EEG and Speech
Target: ICT Express (Submitted)

Paper 4: DCFL-Chain: Digital-Twin-Based Collaborative FL-Integrated Energy Consumption Prediction for Smart Factory
Target: KICS Fall-2024 (Accepted)

Paper 5: Stable Diffusion-Enhanced Advanced Industrial Anomaly Detection Using Multi-CNN Transformer as Meta Learner (In Preparation)
Target: IEEE Transactions on Image Processing

Last Week's Progress

- Implemented DDPM and Stable Diffusion and generated images.
- Further, fine-tune the model for better image generation.
- Applying image quality enhancer (GAN) on the generated image for a better quality image.
- Writing Methodology part of Paper 5.

This Week Todo's

- Implemented DDPM and Stable Diffusion and generated images.
- Further, fine-tune the model for better image generation.
- Applying image quality enhancer (GAN) on the generated image for a better quality image.
- Writing Methodology part of Paper 5.

Project Progress

Project 1: ITRC Digital Twin
Project 2: Image Analysis on Edge Devices for Daycare Application

Last Week's Project

Project 1:
- Review papers and presentations on Digital Twin for Warehouse Logistics optimization.

Project 2:
- Evaluating the model on various metrics.
- Update project status on leader meeting.
- Project Report writing.
- Project source code & dataset submission.

This Week's Project

Project 1:
- Review papers and presentations on Digital Twin for Warehouse Logistics optimization.
- Prepare review paper overall structure analyzing reviewed papers.

Project 2:
- Evaluating the model on various metrics.
- Update project status on leader meeting.
- Project Report writing.
- Project source code & dataset submission.

Monthly Goals

- Study and Implement

* Digital Twin, Reinforcement Learning, and Computer Vision for Warehouse logistics operation optimization.

* Generative AI
** LLM fine-tuning using LoRA.
** Stable Diffusion for high-quality image generation.

* Transformers architectures.
* Encoder-Decoder architectures.
* Federated Learning for distributed model training.

Annual Goals

- Submit one more Q1 International Journal year.
- Attend international conferences and domestic conferences.