Mohammad Ali Mohammadkhani

ma.mohammadkhani1373@gmail.com

My first name is Mohammad Ali (friends and family just call me Mohammad alone) and family name is Mohammadkhani. I was born in september 1994 in Tehran, Iran. I am a machine learning and computer vision engineer and also develope android applications using native Language (Java).

I am a curious guy, I do my best every week to learn something new and to keep myself up to date with the latest news and technologies. My motto have been "Trying to be Extra, In Extraordinary" all the time during my life.

EDUCATION

Khatam University

Master of Science -> Tehran, Iran

Artificial Intelligence and Robotics

2017 - 2020

Eyvanakey University

Bachelor of Science -> Semnan, Iran

Computer Engineering

2012 - 2016

Seyyed Razi

High School -> Tehran, Iran

Mathematics and Physics

2008 - 2012

AWARDS AND CERTIFICATES

  • Passed Java SE Beginner Programmer exam at Tookasoft Company. [Jul 2017]

  • Completed Machine Vision and Machine Learning Camp which was held in the school of Cognitive Sciences at the Institute for Research Fundamental Science (IPM). [Feb 2019]

  • Completed 36 hours Artificial Intelligence Course and Passed the exam with 100/100 score at Bamdad Institute of Technology. [Nov 2021]

  • Completed 30 hours COBIT Foundations Course and passed the exam with 80/100 score at Bamdad Institute of Technology. [Dec 2021]

  • Completed Udemy Tensorflow Developer Certificate in 2023 : Zero to Mastery. [Mar 2023]

PUBLICATIONS

EXPERIENCES

As part of the internship program at Tookasoft company [Summer 2017]

  • Learned fundamentals of Java SE Language
  • Learned how to develop web applications using Java EE concepts
  • Learned how to handle data with JSON and XML file formats
  • Worked on a project using Liferay framework to create an enterprise portal
  • Finally, developed a simple portal for entering personal information and storing it in a database
  • Additionally, participated in UX design workshops

As a master student at Khatam university [2017 - 2020]

  • Collected a dataset from the streets of Tehran, Iran
  • Compared results of three different versions (v1, v2 and v3) of YOLO network on my data
  • Implemented ICNet segmentation network and ran it on my data to segment road
  • Combined all results to gain a deep understanding of the streets
  • Submitted some of my thesis results for presentation at the 5th Conference of IEEE on signal processing and Intelligent Systems at Shahrood University of Technology
  • Pursued various online courses to enhance my skills in artificial intelligence, particularly in the fields of natural language processing, computer vision and time series analysis
  • Worked on a range of machine learning problems, including:
    • Food Classification using the Food-101 dataset on Kaggle
    • Text Classification using the PubMed 200k RCT dataset
    • Bitcoin Price Prediction using historical data

As a researcher At IPM, a neuroscience center in Iran [2019 - 2020]

  • Conducted research on the influence of movement planning on auditory perception
  • Conducted psychophysics experiments on normal hearing subjects
  • Examined the underlying neural mechanisms of the observed behavioral phenomena
  • Recorded EEG data using a 32-channel EEG recording system
  • Analyzed the EEG data using Psychotoolbox and EEGLab (Matlab toolboxes) to run the Psychophysics experiments

As a data scientist at Technology Center of Iran [2021 - 2023]

  • Identified organizational processes by meeting with different departments
  • Learnt BPMN model language for process modeling
  • Modeled processes using Camunda Modeler tool
  • Extracted process automatically from server data using ProM process mining framework
  • Attended artificial intelligence courses and presented learnings to colleagues
  • Discussed potential applications of AI to work

SKILLS

Python C/C++ Java Database Miscellaneous
Pytorch OOP Android studio MySQL Linux
Tensorflow Socket Programming Native android development SQLite Windows
Scikit-learn RX Java Room Google Colab
OpenCV MVC, MVVM Architecture Matlab/Octave
Numpy Retrofit Jupyter Notebook
Pandas UI/UX concepts Git
Tensorboard Liferay framework Visual Studio Code
Pillow
Matplotlib

INTERESTS AND HOBBIES

Research Interests:

  • Computer Vision and Graphics
  • Deep Learning, Machine Learning
  • Natural Language Processing
  • Neuroscience

Hobbies:

  • Watching Movies
  • Traveling and Camping
  • Playing Video Games
  • Photography
  • Reading Tech News