Mansour Saffar Mehrjardi

About Me

I am currently a masters student at the Computing Science Faculty of the University of Alberta, expecting to graduate on September, 2018. My main research interests are Machine Learning, Data Science and Artificial Intelligence.
I did my undergraduate studeis in Electrical Engineering at the University of Tehran , the most prestigious university in Iran.

I was born in Yazd, a beautiful city in Iran, on October 17th, 1992. I received my diploma in Physics and Mathematics discipline from Shahid Sadoughi High School, under the supervision of NODET (National Organization for Developing Exceptional Talents).

Education

M.Sc. in Computer Science

Faculty of Computing Science, University of Alberta, Edmonton, Canada.
Expexcted graduation date : September, 2018

B.Sc. in Electrical and Computer Engineering

School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran, 2016. Thesis : Classification and detection of epileptic patients using MRI images of the brain Supervisor : Prof. Hamid Soltanian-Zadeh
Total GPA : 17.21/20 (3.68/4)

Diploma in Physics and Mathematics Discipline

Shahid Sadoughi High School, under the supervision of NODET (National Organization for Developing Exceptional Talents), Yazd, Iran.
GPA : 19.63/20 (4/4)

Related coursework

Here are some of the courses I've taken which are related to my areas of research and interest.


Courses taken at University of Alberta

Machine Learning (Instructor: Prof. Russel Greiner, Final Grade: 4/4)
Reinforcement Learning (Instructor: Prof. Richard Sutton, Final Grade: 4/4)
Deep Learning (Instructor: Prof. Dale Schuurmans)
Data Mining in Rich Data (Instructor: Prof. Osmar Zaiane)
Probabilistic Graphical Models (Instructor: Prof. Russel Greiner)

Courses taken at University of Tehran (Computer Engineering Related)

Pattern Recognition (Graduate Course)
Advanced Programming
Artificial Intelligence
Internet Engineering
Data Structure and Algorithm

Courses taken at University of Tehran (Elctrical Engineering Related)

Engineering Mathematics
Probability and Statistics Engineerig
Linear Algebra
Signals and Systems
Microprocessors
Digital Signal Processing (Graduate Course)
Digital Logic Design
Communication Systems

Courses taken at University of Tehran (Biomedical Engineering Related)

Radiology Systems
Introduction to Biomedical Engineering
Physiology 1 and 2
Introduction to Medical Physics

Technical Skills

  • Programming Languages
    • Python (Pandas, NumPy) (Expert), MATLAB (Expert), C/C++ (Intermediate), Java (Intermediate)
  • Distributed Computing Platforms
    • Hadoop (Basic)
  • Deep Learning Library
    • Tensorflow (Intermediate)
  • Web Design and Programming
    • Ruby on Rails (Intermediate), HTML, CSS , JavaScript, Bootstrap
  • Operating Systems
    • Linux (Ubuntu), Windows

Research Interests

Machine Learning

Data Mining

Deep Learning

Reinforcement Learning

Artificial Intelligence

Pattern Recognition

Teaching Experience

I was Teaching Assisstant in the following courses

Introduction to Foundations of Computation (University of Alberta, Instructor: Prof. Osmar Zaiane, Winter 2017)
Introduction to Foundations of Computation (University of Alberta, Instructor: Prof. Greg Kondrak, Fall 2016)
Engineering Mathematics (Uinversity of Tehran, Instructor: Prof. Mahmoud Mohammad-Taheri, Spring 2015)
Microprocessors (University of Tehran, Instructor: Dr. Omid Fatemi, Spring 2014, Fall 2014, Spring 2015)
Radiology Systems (University of Tehran, Instructor: Prof. Hamid Soltanian-Zadeh, Fall 2015)

Research experience

  • Classification and detection of epileptic patients using MRI images of the brain. Under the supervision of Prof. Hamid Soltanian-Zadeh, University of Tehran, Summer 2016.

    This is my undergraduate thesis project in which I implemented Gram-Schmidt based brain tissue segmentation method on structural MRI images of subjects diagnosed with epilepsy and also the control group. Features extracted from brain tissue histograms of subjects were fed into a SVM classifier and several feature extraction and feature condition methods were used in order to improve classification results.
  • Design and implementation of a Fall Detection method based on camera feed in MATLAB. Under the supervision of Prof. Fariba Bahrami, University of Tehran, Spring 2015.

    This research project was aimed to devise a method for fall detection of elderly people using a digital camera. Detection algorithm was based on several features of subject’s silhouette in consequent frames fed into a SVM classifier. For more information visit Fall detection project

Notable Academic Projects

The details about some of these projects can be found here

  • Design and implementation of Intelligent Dumbbell, a dumbbell which counts the number of lifts using gyroscope module and also sends out data to our website database using Wi-Fi module. This project was one the best projects in the field of IoT (Internet of Things) in University of Tehran. Internet Engineering course, Spring 2015.
  • Design and implementation of Persian Dooz Game Agent in Python using minimax algorithm with alpha-beta pruning. Artificial Intelligence course, Spring 2015.
  • Design and implementation of Sudoku Game Solver in Python using A* search algorithm. Artificial Intelligence course, Spring 2015.
  • Design and implementation of Color Image Segmentation algorithm based on Mixture Gaussian Density Model (MGDM) and EM algorithm in MATLAB. Pattern Recognition course, Fall 2014.
  • Implementation of feature conditioning methods such as PCA, LDA, Kernel PCA, LLE (Locally linear embedding) in MATLAB. The data was used for comparison of these methods by analyzing CCR of Bayes Optimal Classifier, KNN, and Support Vector Machine (SVM) classifiers trained with each data. Pattern Recognition course, Fall 2014.
  • Design and implementation of an algorithm for Image Segmentation based on unsupervised techniques (K-means clustering) in MATLAB. Pattern Recognition course, Fall 2014.
  • Design and implementation of a system for Managing House Light using AVR microcontrollers. Microprocessors course, Fall 2013.
  • Design of Electronic Music Store for shopping music albums, using C++ and Qt for graphics. Advanced Programming, Fall 2014.
  • Design and implementation of Quoridor and Reversi game using C++. Advanced Programming course, Fall 2014.
  • Design and Implementation of a Line Following Robot. General workshop, Fall 2014.
  • Implementation of an Isolated Voice Recognition algorithm based on MFCC (Mel Frequency Cepstral Coefficients) features of voice, using Neural Networks in MATLAB. Introduction to Biomedical Engineering course, Spring 2014.
  • Design and implementation of Packman game in C. Introduction to Computer Programming course, Fall 2011.

Honors and awards

  • Ranked as top 0.11 % (304th) among around 270,000 participants in Iran’s National University Entrance exam in 2011.
  • Ranked as top 20 % in Cumulative GPA among all students of Electrical Engineering in 2014.

Language Skills

English : Fluent

  • GRE General (2015, September 21st): Total: 322/340, Verbal Reasoning: 152/170 (54%), Quantitative Reasoning: 170/170 (98%), Analytical Writing: 3.5/6 (38%)
  • TOEFL IBT (2015, October 25st): Total: 113/120, Reading: 28/30, Listening: 30/30, Speaking: 26/30, Wrting: 29/30

Arabic : Reading knowledge

Persian : Native

Volunteer Works

Personal Interests

  • Swimming, Volleyball and hiking.
  • Playing video games and watching movies!
  • Reading about AI topics and trying to find out a new way to incorporate AI into daily life!

Contact

If you need to contact me you can use these links and addresses. I've also provided my Social Network links .