Resume

Education

M.Sc.
2017 — 2019

Information Technology (IT) Engineering (A)
Azarbaijan Shahid Madani University - Tabriz, Iran.

Thesis: “A Deep Learning-Based Approach for Detecting Copy-Move Image Forgery.”
Adviser: Dr. Mahdi Hashemzadeh.

Areas of Study: Computer Vision, Deep Learning, Image Processing.

Key Courses: Deep Learning, Machine Vision, Artificial Neural Networks, Data Mining, Social Network Analysis, Multi-Agent Systems, IT Management, Ad-Hoc Networks.

Successfully completed a handful of projects and applied tasks such as object detection, classification, feature extraction, noise reduction, edge detection, image quality enhancement, data mining, and social media analysis.

Experience​

AI Researcher & Consultant
2020 — Present​

Cancer Research Center – Iran.

Conducting collaborative research projects leading to publications, treatment methodologies, products, and services; Advising Ph.D. and master's students.

Key Responsibilities: Research, data engineering, design, and development of state-of-the-art AI and machine vision approaches, models, and systems to prevent, diagnose, and treat diseases.

Design Skills

Deep Learning 90%
Deep Learning
Machine Vision 85%
Machine Vision
Data engineering 88%
Data engineering
Auto-ML 75%
Auto-ML
Complex Network Analysis 60%
Complex Network Analysis

Coding Skills

Bioinformatics 70%
Bioinformatics
Programming 77%
Programming
Analytics & Visualization 80%
Analytics & Visualization
TensorFlow / Docker 95%
TensorFlow / Docker
Health IT 72%
Health IT