Amir Behnam

About

Learn more about me

AI Researcher & Developer

Hi, My name is Amir Behnam. I'm a B.Sc. Graduate in Computer Engineering from Iran Amirkabir University of Technology (Tehran Polytechnic).

Age: 23
City: Tehran, Iran
Degree: Bachelor

GitHub: https://github.com/Amirbehnam1009
Mail: Amirbehnam1009@gmail.com
Field: Computer Engineering

Skills

Program Languages

Python 100%

Java 85%

C++ 75%

C90%

HTML 90%

CSS 90%

JavaScript85%

VHDL95%

Verilog80%

R 70%

Learning Tools

Tensorflow 100%

PyTorch 70%

Numpy 95%

Keras 85%

Pandas 95%

Matplotlib 85%

Scikit-learn 90%

OpenCV 65%

NLTK 65%

Seaborn 75%

Frameworks/ Libraries

React 65%

Bootstrap 90%

Project Management

Jira 95%

Hardware Tools

Arduino 70%

Xillinx ISE 95%

Operating Systems

Windows 100%

Linux 60%

Ubuntu 65%

Others

UML 100%

LaTex 85%

Git 80%

Interests

Deep Learning

Natural Language Processing

Computer Vision

Data Mining and Science

Machine Learning

Computer Graphics

Software Engineering

AI Hardware Acceleration

Resume

Check My Resume

Education

Amirkabir University of Technology

2019 - 2024

Tehran, Iran

B.Sc. in Computer Engineering
Ranked 3^rd among Iran Universities based on QS Ranking

- GPA: (15.48/20)

Mobtakeran High School

2016 - 2019

Tehran, Iran

Diploma in Mathematics and Physics

- GPA: (18.58/20)

Related Courses

Amirkabir University of Technology

• Bsc Thesis: 4/4 • Artificial Intelligence: 4/4

• User Interface Design: 4/4 • Algorithm Design: 4/4

• Advanced Programming: 4/4 • Data Mining: 3/4

• Compiler Design: 3/4 • Data Structures and Algorithms: 4/4

• Operating Systems: 3/4 • Web Programming: 4/4

• Engineering Statistics: 4/4 • Database Design: 3/4

• Applied Linear Algebra: 3/4 • Theory of Machine & Languages: 4/4

• Logic Cicuits: 3/4 • Software Testing: 4/4

• Internship: 4/4 • Differntial Equations: 4/4

• Technical English: 4/4 • Research & Technical Presentation: 4/4

Academic Projects

CIFAR10 Image Classification

Github

Implemention of a neural network from scartch to classify CIFAR10 dataset images.
Includes Concepts such as data preprocessing, forward and backward propagation, and the optimization power of vectorization.

Persian Spotify

Github

Data analysis and review, including Exploratory Data Analysis (EDA) and PCA visualization.
Application of regression to predict music popularity.
Classification of music into traditional and non-traditional categories.

Fuzzy Interface System

Github

Implementation of a fuzzy expert system which detects whether a person has heart disease
Consists of three stages: Step 1. Fuzzification, Step2. Inference, Step3. Defuzzification

Snail Jumper

Github

A Neural Network with a Genetic Algorithm playing the Snail Jumper game.
Includes K Fittest Selection, Roulette Wheel, SuS, Q-Tournament selection algorithms, Mutation, and Cross-Over.

Noise Cancellation and Bitmap Image Compressor

Github

Enhancement of the Bitcoin price diagram through the integration of an advanced noise cancellation system, coupled with the development of a bitmap image compressor leveraging linear algebra techniques.

Applying AI Algorithms to Pac-Man Game

Github

Search Project: Implemented DFS, BFS, UCS, greedy search, and A* for Pac-Man navigation.
Developed minimax, alpha-beta pruning, and expectimax for adversarial play.
MDP & Reinforcement Learning: Applied value iteration, Q-learning, and approximate Q-learning strategies.

Persian Search Engine

Github

Implemented a Search Engine using different Information Retrieval techniques.
Includes Preprocessing, Inverted Positional Indexes, TF-IDF Document Vectors, Cosine Similarity, Word2Vec Embedding, K-means Clustering, and K-Nearest-Neighbours Ranking.

Research Experience

Research Assistant

Aug 2023 - Aug 2024

AUT

Thesis

Undergraduate Research Assistant at AUT
Supervisor: Dr. Hamid Reza Zarandi

Implemented a Convolutional Neural Network (CNN) from scratch, covering essential components like convolution, pooling, fully connected layers, activation functions, and data flattening.
Designed a custom UART communication protocol to support both wired and wireless FPGA communication.
Combined the CNN with the UART protocol to improve communication efficiency and overall network performance between FPGAs.
Conducted a comprehensive performance analysis, comparing the communication methods to identify the optimal approach.

Research Assistant

Feb 2022 - June 2022

AUT

Undergraduate Research Assistant at AUT
Supervisor: Dr. Reza Safabakhsh

During the ‘Research and Technical Representation’ course at AUT, I undertook a comprehensive study titled "Machine Learning and Its Applications in Radiological Practice", focusing on advanced techniques to improve diagnostic accuracy and efficiency in medical imaging.