Farshid Faal

I received my Master’s degree in Electrical Engineering from Concordia University in 2013 and I am doing my PhD in Machine Learning at Concordia University under supervision of Prof Jia Yuan Yu and Prof Ketra schmitt.
My research interest is Machine Learning and its application in industries such as Deep Learning and Computer Vision techniques for autonomous navigation in cars and drones.
Furthermore, I am a software engineer at CS Communications & Systems Canada since 2015.


Area of Expertise
  • Machine Learning Techniques: Naive Bayes, Support Vector Machine, Neural Network, K-Nearest Neighbors, Maximum Entropy Algorithms, Gaussian Mixture Models, Hidden Markov Models, Genetic Algorithms, Genetic Programming

  • Control Theory and Engineering: Linear and Nonlinear Systems Theory, Kalman Filtering, Robotics, Intelligent Control, Optimization

  • Aerospace Engineering: Spacecraft Control Systems, Unmanned Aerial Vehicle (UAVs), Aoutonommous Underwater Vehicles (AUVs)

  • Signal Processing Techniques: Digital Signal Processing, Probability and Random Variables, Stochastic Processes, Information Theory, Wavelets

  • Programming Languages: Python, R, MATLAB/SIMULINK, C/ C++
Professional Experience
2016- Present
Research Assistant 
​Concordia University - Information System Engineering Dept. 
​Montreal, QC
  • Developing autonomous navigation systems using machine learning techniques
2015- Present
Control Systems Software Engineer 
​CS Communication & System Canada 
​Montreal, QC
  • Assess issues raised during veri cation testing on the Next Generation Product Family (NGPF) PW-1000G PurePower engines from Pratt & Whitney (P&W).
  • Participated in certification campaigns of the following engines:
- PW1100 - Airbus A320 Neo
- PW1200 - Mitsubishi Regional Jet
- PW1500 - Bombardier Aerospace C-series
- PW1900 - Embraer E-Jet E2 family
-PW814G - Turbofan Engine for Gulfstream 500 and 600 aircrafts
2013 - 2015
Research Associate
Concordia University - Electrical Engineering Dept.
Montreal, QC
  • Proposed and developed Dynamic Neural Network training with Genetic Algorithm
  • Proposed the fault diagnosis system for Autonomous Underwater Vehicles (AUVs) base on Genetic Algorithm
2011 - 2013
Graduate Research Assistant
Concordia University - Electrical Engineering Dept.
Montreal, QC
  • Designed a simulator for a spacecraft formation flying control
  • Proposed and Developed signal processing algorithm based on Wavelet-Entropy for fault detection
  • Proposed and developed the fault diagnosis system based on Wavelet and Artificial Neural Network
2011 - 2013

Master of Applied Science (M.A.Sc)

Electrical Enginerring (Control Systems)

Concordia University

2016 - Present

Doctor of Philosophy (PhD)

Computer Science (Machine Learning)

Concordia University