Hi 👋, I’m Ahmed Allam, currently in my junior year pursuing a Bachelor of Science in Computer Engineering with a focus on Artificial Intelligence and a minor in Mathematics at The American University in Cairo, one of the top five universities in Egypt. I am also a Tommorow’s Leaders Scholarship recipient, a prestigious scholarship program funded by the U.S. Department of State.
My main research interest lies in the intersection between Deep Learning and Computational Neuroscience. In this blog, I will be sharing my journey in learning new topics and working on various projects in these fields.
💻 Tech Stack:
📚 Current Reading List:
- Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
- Designing Machine Learning Systems by Chip Huye
- Theoretical Neuroscience by Peter Dayan and Larry Abbott
- Fundamentals of Computational Neuroscience by Thomas Trappenberg
- Zero to One by Peter Thiel
🚀 Recent Projects:
- Brain Lens: Image Reconstruction from Brain fMRI imaging using Diffusion Models.
- Forward-Forward Algorithm: An implementation of Geoffrey Hinton’s Forward-Forward Algorithm, an alternative learning algorithm to Backpropagation.
- Emotions classifier from Brain EEG Signals: Emotion classification from Brain EEG signals using a hybrid CNN-Transformer model and various ML algorithms.
- Equinox: Contributing to the development of Equinox, an elegant easy-to-use neural networks library in JAX.
- AlphaLogos: Boolean Function Analyzer and Synthesis Optimization Tool using the Quinn-McCluskey algorithm.
📄 Resume:
Link: Resume