Alireza Akhavan Pour

Alireza Akhavan Pour

Cell: +98-21-91005045

I am a big fan of Artificial Intelligence. I believe that one day robots will help the human in all our daily lives. I am currently a python Developer and work on Computer Vision projects using Deep Learning. I completed a master degree in Computer Science at SRTTU in 2015. I was a member of the Computational Cognitive Vision Lab where I was advised by Prof. Ebrahimpour. My research focuses on Invariant object recognition and Deep Learning.

Deep Learning, Computer Vision, Machine Learning
Software Development
Web Application Security

M.S.Shahid Rajaee University (SRTTU),  9/2013 – 12/2015

Major: software engineering
Thesis: A Comparative Study of varying parameters in invariant object recognition at behavioural and computational-cognitive model level
Advisor: Reza Ebrahimpour, Ph.D.
GPA: 18.07/20

B.S.Shahid Rajaee University (SRTTU),  9/2009 – 8/2013

Major: software engineering


Computer Vision

Deep learning, Machine Learning, Artificial Intelligence

Penetration Testing (previous)

Web application security, Top 10 OWASP, OWASP ASVS

Academic Employment

Lecturer, Shahid Rajaee University

Fall 2016: Computer programming with Python
Winter 2016: Advanced programming in C++

Graduate Co-Instructors and Teaching Assistants

Fall 2017: Deep Learning for Dr. Reza Ebrahimpour

Undergraduate Teaching Assistant

Fall 2015: Databases for Prof. Negin Daneshpour
Winter 2015: Data Structures for Prof. Negin Daneshpour
Work experience

Computer Vision Developer Now

  • Deep Learning with Python and Tensorflow
  • Invariant Object Recognition
  • Facial Recognition

Web App pentester and Security Assurance Shahd co, 2015 _ Now

  • Penetration Testing on Web Application and Web Service
  • Experience in performing manual exploitation and mitigating security issues as per OWASP Top 10 policies.

Software QA, Team Leader Idea Bekr Mobin, 2011 _ 2015

  • Software QA and QC
  • Web Application Security and stress test
  • Team Leadership
  • PHP Instructor and Intern-ship Coordinator
Independent projects:
  • Implementing a warning system regarding an ex-convict entering the bank using Facial Recognition.(Police force)
  • Running a website for Olympiad results
  • Running a website for exam results
  • Penetration testing for ministry of education
  • Penetration testing for
ICMVIP: Akhavan Pour, Alireza; Hamid Karimi, Nasour Bagheri and REZA Ebrahimpour, 2015, Comparing the ability to recognize objects in the background faced with different variations in human and the new visual cortex model, 9th Iranian Conference on Machine Vision and Image Processing
Presentation and Talks

Deep Learning and ML

February 08, 2017 Implementing a Convolutional Networks using TensorFlow in Big Data Workgroup, Department of CE, Sharif University of Technology.
January 24, 2017 Introduction to TensorFlow for Deep Learning in Big Data Workgroup, Department of CE, Sharif University of Technology.

Web Application Security

February 18, 2017 Common Web Application Vulnerabilities in ssc, Department of CE, Shahid Rajaee University.


AI, Machine Learning and Deep Learning


Online badges
IBM Deep Learning Badge