Saeed Damadi PhD's Documentation!
=================================

This documentation presents a comprehensive overview of my PhD research in sparse optimization 
and machine learning at the Department of Mathematics and Statistics, University of Maryland, 
Baltimore County (UMBC). Under the mentorship of Professor `Jinglai Shen <https://jinglai-shen.github.io/>`_, 
my work focuses on advanced mathematical methods for sparse optimization. 


During my PhD, I earned two master's degrees to deepen my knowledge of statistics and machine learning. 
I completed a master's degree at the Department of Computer Science and Electrical Engineering at UMBC, 
guided by Professor `Hamed Pirsiavash <https://web.cs.ucdavis.edu/~hpirsiav/>`_, 
where I worked on compression of deep neural networks. 
This topic led to my PhD topic where I appreciated the advantages of the theory of sparse optimization for building smaller AI models. 
Due to the need for understanding statistics as the bedrock of artificial intelligence and machine learning, 
I earned a master's degree in statistics to deepen my knowledge in this area.

I have two main research goals. First, I aim to compress neural networks to better understand how the brain works. Second, I am passionate about advancing quantitative trading through sophisticated deep neural networks and machine learning models.

Feel free to reach out to me on `LinkedIn <https://www.linkedin.com/in/saeed-damadi-54627889/>`_ and `X <https://x.com/saeeddamadi>`_.



.. toctree::
   :maxdepth: 3
   :hidden:
   
   iris/index
   rl/index
   algorithms/index
   sparsity/index
   statistical_models/index
   one_layer/index
   time_series/index
   finance/index