- Research and develop innovative techniques for speech watermarking and steganography using deep learning methodologies.
- Implement Computer Vision and Image / Audio Processing Projects.
- Build Generative AI Models: Generative Adversarial Networks GANs, Autoencoders AE, Encoder-Decoder Architecture DNN
- Collaborate with interdisciplinary teams to integrate deep learning solutions into real-world applications for audio / image security and privacy protection.
- Publish research findings and contribute code to the open-source community to advance the field of speech signal processing and information hiding.
- Programming Languages: Python, Matlab.
- Deep Learning: Keras-TensorFlow,scikit-learn.
- Data Manipulation: Pandas, NumPy, Scipy, Opencv, Librosa.
- Data Visualization: Matplotlib, Seaborn.
- Tools: GitHub,vscode, Jupyter Notebook, Spyder, Google Colab, Kaggle.
- Writing: Excel, Word, PowerPoint, LaTeX, Overleaf.
| Project | Details |
|---|---|
| Image Classification Projects | https://github.com/elchaima1234/Image-Classification) |
| Audio Classification Projects | ----------- |
| Project | Details |
|---|---|
| Audio Data Augmentation | https://github.com/elchaima1234/Data-Preprocessing/blob/main/Audio_data_augmentation_ipynb.ipynb |
| Audio_Data_Processing | https://github.com/elchaima1234/Data-Preprocessing/blob/main/Audio_Data_Processing.ipynb |
| Project | Details |
|---|---|
| Image-Watermarking-Technique-Using-Convolutional-Autoencoder | https://github.com/elchaima1234/Image-Watermarking-Technique-Using-Convolutional-Autoencoder |
| Generating-Sound-Using-Unet | https://github.com/elchaima1234/Generating-Sound-Using-Unet- |
| title 3 | ---------- |
