Alireza Akhavanpour

Alireza AkhavanPour

Cell: +98-21-91005045
Email: Akhavan[at]Class[dot]Vision

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
NLP, Data Mining
Software Development

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

Python, Tensorflow, Keras, Opencv, scikit-learn

Academic Employment

Visiting Lecturer, Shahid Rajaee University

Summer 2019: Advanced programming in C++
Fall 2018: Advanced Deep Learning
Winter 2017: Introduction to Computer Vision & Deep Learning
Winter 2017: Python for data science
Fall 2016: Computer programming with Python
Winter 2016: Advanced programming in C++

Graduate Co-Instructors and Teaching Assistants

Fall 2018: Deep Learning for Dr. Reza Ebrahimpour
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

CTO at Shenasa-ai2018 - Now

  • Deep Learning researcher
  • Face API
  • license plate recognition API
  • Face recognition system and Logging
  • Attendance System Based on Face Recognition

Computer Vision Developer 2016 - 2018

  • Deep Learning(Python, Tensorflow, Keras, OpenCV)
  • Facial Recognition
  • Face Retrieval
  • Invariant Object Recognition
  • Face Quality Assessment
Independent projects:

Small Data Challenge In Progress

Iranian Face DatasetIn Progress

Implementing a warning system regarding an ex-convict entering the bank using Facial Recognition2017

  • Implementing on Jetson TX1

In progress

  • Small Sample Size Problem: A comparative study of different classifiers for binary classification of cognitive disorders
  • Text classification for Persian newspaper corpus
  • Object Recognition under Occlusion: A comparison among various methods to tackle this challenging condition

Sharif Neuroscience Symposium 2019

Object Recognition under Occlusion Conditions with Generative Models (Poster)


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

November 21, 2019 Recurrent Neural Networks (12h workshop) in Iran National Innovation Fund
June 18, 2019 Machine Learning with Python (8h workshop) in Institute for Advanced Science Technology, Shahid Rajaee University.
February 14, 2019 Two-Day Workshop on Deep Learning (12h workshop) in ssc, Department of CE, Shahid Rajaee University.
November 14, 2018 Principles of Deep Neural Networks in Machine Vision in Department of CE, Islamic Azad University, South Tehran Branch
August 30, 2018 One-shot learning: Face Verification & Recognition in partdp
August 15, 2018 Deep Learning with Keras (8h workshop) in partdp
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.

Online badges
IBM Deep Learning Badge