Abstinencia (Liberated), by Yoan Capote, Montreal Museum of Fine Arts. Photo by Bardia Doosti.

Hi! I am Mojtaba Alehosseini, graduated with a bachelor's degree in computer science at Yazd University/Iran and currently am an M.Sc student of computer sciences (artificial intelligence track) in Genova University in Italy. I have become familiar with different aspects of systems and programming during my education and implemented several projects to solve practical problems using multiple programming languages and tools.

Also, I was a secretary of scientific computer science association of Yazd University for 2 years.

These experiences gave me a vision for my future and interested me in applying Machine Learning and Artificial Intelligence techniques to various problems concerning hardware and software aspects of systems. Also, I'm interested in Blockchain, Web3, and Distributed Systems.

Having worked with people from all walks of life, I have gained experience in teamwork. Also, I am capable enough to become skillful in different topics by self-learning.

Resume

[Download CV]

My Selected Projects

Identification of pneumonia based on deep learning approach.[GitHub]
Implemented convolutional neural network, using different architectures like VGG, ResNet, NASnet.

Implemented and investigated performance of classification algorithms to Predict whether a person requires Covid test using these symptoms.[GitHub]

Implemented and investigated performance of classification algorithms such as decision tree, K-nearest neighbors, logistic regression and random forest to Classify patients with liver problems in a clinical data set.[GitHub]
Experimented and identified best features for different algorithms. Performed data normalization using different methods (Min-Max, z-score). Performed N-fold cross-validation on the data set. Compared precision, recall and F-score of the algorithms.

Developed a System Modeling and Simulation for:
      Newspaper Seller’s Problem using VBA in Office Excel.[GitHub]
      Replacing Bearings in a Milling Machine using Python in Jupyter notebook.[GitHub]
      The Dump Truck Problem using VBA in Office Excel.[GitHub]

Implemented the Genetic Algorithm and particle swarm optimization.[GitHub]
in Matlab and Python to the search of the optimum solution of multiple complex functions.

Advanced implementation of regression modelling techniques like lasso regression in Python.[GitHub]

Implementation of CNN using Keras for classification of MNIST dataset.[GitHub]

Implemented the Topic analysis technique in natural language processing.[GitHub]

Implementation of rgb2gray to convert RGB image to grayscale without using OpenCV.[GitHub]

Strassen’s Matrix Multiplication Algorithm with C++.[GitHub]

Deriving data structure to eliminate vertices in a tree structure.[GitHub]

Translated SimPy library manual (from English to Persian).[GitHub]

You can check out all my activities in my GitHub repository.[GitHub]