Alireza Afzal Aghaei

Data Scientist

I am a dedicated and highly motivated computer scientist with a strong academic background and a passion for cutting-edge technology. My journey in the world of computer science has led me to excel in various domains, from machine learning and deep learning to scientific computation. Currently pursuing a Ph.D. in Computer Science at Shahid Beheshti University, I am actively engaged in developing innovative solutions for solving complex differential and integral equations using physics-informed machine learning algorithms under the guidance of Dr. Kourosh Parand. My research and academic achievements have been recognized with outstanding grades, and my commitment to advancing the field is reflected in my roles as a Lecturer and Research Assistant at the same institution, where I impart knowledge on fundamentals of programming, mathematical software, and advanced data mining. With a strong foundation in programming languages, mathematical software, and a range of technical skills, including Python, GNU/Linux, web development, and data science, I am eager to contribute my expertise to challenging projects and continue my journey of growth and innovation in the field of computer science.

Personal info
Address Boys Dormitory, Daneshju Blvd, Velenjak, Tehran, Iran
Phone +98 937-622-4365
Date of birth 07 Jun 1996
Marital status Single
Military status Educational Exemption
Telegram t.me/conficker
Experience
Sep 2022
Present
Lecturer
Shahid Beheshti University
Fundamentals of Programming, Mathematical Softwares 1 and 2
Sep 2022
Present
Research Assistant
Shahid Beheshti University
Feb 2022
Present
Teacher Assistant
Shahid Beheshti University
Advanced Data Mining, Data Mining, Numerical Analysis, Numerical Linear Algebra
Dec 2020
Present
Principal Data Scientist
T1Solution
Machine Learning and Deep Learning solutions for Eye Diseases
Oct 2018
Nov 2018
Teacher Assistant
Shahid Beheshti University
Fundamentals of programming
Sep 2015
Mar 2018
Teacher Assistant
Damghan University
Fundamentals of programming, Advanced programming, and Data structures
Education
Jan 2021
Present
School of Data Science and Computer, Shahid Beheshti University, Iran
Ph.D, Computer Science
Thesis: Developing Physics-Informed Machine Learning Algorithms For Solving Differential And Integral Equations, Supervised by Kourosh Parand
Sep 2018
Sep 2020
School of Data Science and Computer, Shahid Beheshti University, Iran
M.Sc. Computer Science, Scientific Computation. Outstanding Student, Superior Grade 19.19/20
Thesis: Extending machine learning algorithms for solving Fredholm integral equations, Supervised by Kourosh Parand
Sep 2014
May 2018
School of Mathematics and Computer Science, Damghan University, Iran
B.Sc. Computer science. Outstanding Student, Superior Grade 19.35/20
Thesis: Solving Fredholm integral equations of the second kind using parallelized modified cuckoo optimization algorithm, Supervised by Hassan Dana
Publications (Highlights)
A new approach to the numerical solution of Fredholm integral equations using least squares-support vector regression
K. Parand, A.A. Agahei, M. Jani, A. Ghodsi
Mathematics and Computers in Simulation
Parallel LS-SVM for the numerical simulation of fractional Volterra’s population model
K. Parand, A.A. Agahei, M. Jani, A. Ghodsi
Alexandria Engineering Journal
A neural network approach for solving nonlinear differential equations of Lane–Emden type
K. Parand, A.A. Agahei, S. Kiani, T.I. Zadeh, Z. Khosravi
Engineering with Computers
Automated assessment of the smoothness of retinal layers in optical coherence tomography images using a machine learning algorithm
J. Saeidian, T. Mahmoudi, H. Riazi, Z. Montazeriani, A. Khodabande, M. Zarei, N. Ebrahimiadib, B. Jafari, A.A. Aghaei, H. Azimi, E. Khalili Pour
BMC Medical Imaging
Books
راهنمای کاربردی پایتون برای علم داده‌ها
Patents
روش و سامانه تشخيص ناهنجاري هاي قرنيه چشم برمبناي هوش مصنوعي
Skills
Python
Python 3.x and it's internals
GNU/Linux
Manjaro, Ubuntu, Bash, KDE desktop
Mathemtical Softwares
Matlab, Maple, Octave
Web Developement
HTML, CSS, JavaScript, Ajax, PHP (Telegram Bot), Django, Sanic, Wordpress
Databases
Basic knowledge of MySQL, SQLite, Redis
Other skills
Data Science
Machine Learning and Deep Learning Algorithms
Evolutionary Algorithms
Genetic Algorithm, Cuckoo Optimization Algorithm, and Chimp Optimizatino Algorithm
Parallel Computation
Familiar with OpenMP, MPI, Cuda
C-Family Programming Languages
C, C++, C#
Computer Vision
Basic knowledge of Image Processing techniques
LaTeX
Familiar with LaTeX, XePersian, Beamer and Tikz
Microsoft Office Suite
Familiar with Microsoft Word, Powerpoint and Excel
Version Control Systems
Basic knowledge of Git
Adobe Creative Suite
Basic experience in Photoshop, Illusterator, After Effects, Character Animator
Current studies
Machine learning and Deep learning
Using Deep learning techniques for solving real-world problems
Scientific computation
Differential and Integral Equations, Numerical Analysis, and Numerical Linear Algebra
Projects
Parallel Cuckoo Optimization Algorithm
Implementation of Parallel COA in C++ [Source Code]
Web-Based music player
A simple web-based music player for a local network [Source Code]
RSS Reader Chrome Extension
Replace Chrome's new page tab with the latest news [Source Code]
Electronic Election System
An Electronic Election System written in Django [Source Code]
A Persian Beamer Template
A Persian Beamer Template for Slides [Source Code]
Languages
Persian
Native
English
SBTTEP 67/100
References
Kourosh Parand
Professor of Scientific Computing, Shahid Beheshti University, Department of Computer Science
k_parand@sbu.ac.ir
Hassan Dana
Lecturer at school of mathematics and computer science, Damghan University
dana@du.ac.ir