Academic Experience

I have done some academic researches to propose new approaches for some tasks. Unfortunately , we haven't had enough time to publish them. However , I'm listing them here which can be considered as academic experiences:

Calculating 2d and 3d fractal dimension. (we created new formula to calculate them)
Deep-Based road surface detection .(I have presented new models to classify surface marks through some different scenarios) (Submitted)
Shot detection

Teaching Experience

Advanced Programming as Teacher Assistance at UMA
Data Structure as Teacher Assistance at UMA

Books

Here I have mentioned the books or magazines that I have read or I have been reading about AI ,Neuroscience, and other areas:

Machine Learning In Action, Peter Harrington
Python Machine Learning. Unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics , Sebastian Raschka
Image Processing and Acquisition using Python , Ravishankar Chityala
Computer Vision News ,The Magazine of the Algorithm Community
Pro Deep Learning with TensorFlow ,Santanu Pattanayak
Reinforcement Learning Algorithms with Python , Andrea Lonza
What is life? , Addy Pross
The Future Of The Mind , Michio Kaku
The Philosophy Of Cognitive Science , M.J.Cain
Choice Theory , William Glasser
Sapiens , A Brief History Of Human Kind , Yuval Noah Harari
Computational Neuroscience and Cognitive Model , Britt Anderson

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