- Deep Image Steganography
- Drug Analysis
- Adversarial Attacks & Defenses
- Liquid State Machines
- Chaotic Neural Networks
I am particularly focused on applying both theoretical and practical machine learning methods to enhance the performance of neural networks. By delving into the underlying principles, I strive to push the boundaries of AI innovation and create robust, explainable, and efficient systems. My interests lie heavily in computer vision and VLSI-based machine learning applications.
|
|
|
|
|
|
Feel free to reach out if you're interested in collaboration or discussing cutting-edge research. I’m always excited to connect with fellow researchers and enthusiasts!
Thank you for visiting my GitHub profile!