Hi! My name is Ahmad Ali Rafiee and I am a researcher in the field of computer science. I received my master's degree in Electrical Engineering, specializing in image processing and computer vision, from Shiraz University in 2020 and have been working as a researcher at Shiraz University since then. My research interests include computer vision, image processing, deep learning, and machine learning.
I have done miscellaneous projects in the area of computer vision and image processing. Moreover, I have teaching experience in OpenCV, and I was the graduate teaching assistant for the image processing, pattern recognition, and advanced engineering mathematics courses.
Shiraz University | 2017 - 2010
GPA: 3.7
Thesis Title: Investigation and Comparison of Image Noise Reduction Techniques Using Deep Learning
Supervisor: Dr. Mahmoud Farhang
Persian Gulf University | 2012 - 2016
GPA: 3.3
B.Sc. Final Project Title: Simulation of a Reversible Watermarking by Difference Expansion Using MATLAB
Supervisor: Prof. Mohammad Sadegh Helfroush
Digital Image Processing using OpenCV library in Python | Summer 2019
The 11th Summer School of Shiraz University of Technology
Pattern Recognition | Fall 2019
by Prof. Mehran Yazdi at Shiraz University
Advanced Engineering Mathematics | Fall 2019
by Dr. Alireza Keshavarz-Haddad University
Digital Image Processing | Spring 2019
by Prof. Mehran Yazdi at Shiraz University
Advanced Engineering Mathematics | Fall 2018
by Dr. Alireza Keshavarz-Haddad at Shiraz University
Lab & Server Administrator | 2019 - Present
at Shiraz Universit
Python
MATLAB
C++
C
LaTeX
Microsoft Word
Microsoft Excel
Microsoft Powerpoint
Microsoft Visio
Ubuntu
Microsoft Windows
Windows Server
TensorFlow
PyTorch
OpenCV
scikit-learn
NumPy
pandas
Matplotlib
PyCharm
Jupyter Notebook
Spyder
Git
GitHubA. A. Rafiee and M. Farhang, "A deep convolutional neural network for salt-and-pepper noise removal using selective convolutional blocks," Applied Soft Computing, 2023.
DOICite (BibTeX)Cite (RIS)GitHubCode OceanarXiv
A. A. Rafiee and M. Farhang, "A very fast and efficient multistage selective convolution filter for removal of salt and pepper noise," Journal of Ambient Intelligence and Humanized Computing, 2022.
DOICite (BibTeX)Cite (RIS)GitHubCode Ocean
M. Hajji, A. A. Rafiee, A. A. Safavi and M. Farhang, "Forecasting the Condition Severity of COVID-19 in Terms of Prevalence in Iran," 8th International Conference on Control, Instrumentation and Automation (ICCIA). IEEE, 2022.
DOICite (BibTeX)Cite (RIS)
Designing and implementing a deep learning model to diagnose the need for endodontic surgery using panoramic radiographs.
Implementing a framework based on Google's Inception model to classify blastocysts for transfer after in vitro fertilization.
Implementing a framework based on YOLOv5 model to detect and classify garbage using Taco dataset.
Credit card fraud detection using SVM.
Air-craft engine fault detection using machine learning algorithms, e.g., logistic regression, SVM, and MLP.
Simulation of two-dimensional principal component analysis based independent component analysis (2DPCA based ICA) algorithm for face recognition.
Simulation of a blind and reversible video watermarking for H.264 compression by multilevel DWT algorithm.
Simulation of a blind and reversible image watermarking for JPEG compression based on coefficient quantization in the DWT domain.
Simulation of an edge-preserving algorithm based on the CIE-Lu'v' color space for color contrast enhancement.
Detecting and extracting credit card numbers via various image processing techniques, e.g., morphological operations, thresholding, and edge detection.
Simulation of a reversible watermarking by difference expansion.
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