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NimaSimyari/README.md

Nima Simyari

AI & Machine Learning Researcher

MSc Candidate in Engineering Technology for Strategy and Security
University of Genoa, Italy

LinkedIn   GitHub


About Me

I am an AI and Machine Learning researcher with an interdisciplinary academic background spanning Electrical Engineering, Technological Entrepreneurship, and advanced engineering technologies.

I am currently pursuing an MSc in Engineering Technology for Strategy and Security at the University of Genoa, Italy.

My research focuses on the design, development, and evaluation of intelligent learning-based systems, with particular interests in Deep Learning, Natural Language Processing, Large Language Models, Retrieval-Augmented Generation, and Reinforcement Learning.

I am particularly interested in research-oriented AI, rigorous experimentation, and the development of intelligent systems capable of addressing complex real-world problems.


Research Interests

  • Artificial intelligence
  • Deep Learning & Machine Learning
  • Natural Language Processing & Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Reinforcement Learning

Academic Background

MSc Candidate — Engineering Technology for Strategy and Security University of Genoa, Italy

Master's Degree — Technological Entrepreneurship University of Tehran, Iran

BSc — Electrical Engineering, Telecommunications University of Zanjan, Iran


Selected Public Projects

Project Focus
Music Genre Classification Machine Learning for Music Genre Classification
Diamond Price Prediction Regression, Machine Learning & Neural Networks
Handwriting Recognition with PCA Dimensionality Reduction & Machine Learning

Research & Development

A significant portion of my current work is dedicated to research projects and experimental AI systems, particularly in Machine Learning, Deep Learning, NLP, Large Language Models, RAG, and Reinforcement Learning.

Some active research repositories remain private while the corresponding studies are under development, evaluation, review, or preparation for publication.

Public implementations, reproducible experiments, and selected research code will be released when appropriate.


Artificial Intelligence • Machine Learning • Research

Pinned Loading

  1. music-genre-classification-ml music-genre-classification-ml Public

    Jupyter Notebook 1

  2. Detect-of-handwriting-with-PCA Detect-of-handwriting-with-PCA Public

    Detect of handwriting DIGITS with PCA_ MNIST dataset

    Jupyter Notebook 1

  3. Indiegogo-scraping-part-2 Indiegogo-scraping-part-2 Public

  4. price-of-diamonds-machine-learning-and-NN-and-rf price-of-diamonds-machine-learning-and-NN-and-rf Public

    Jupyter Notebook

  5. LAW_OF_LARGE_NUMBERS LAW_OF_LARGE_NUMBERS Public

    Jupyter Notebook