Students

Available Position

Two MASc/PhD position is available for domestic applicants with strong background in control, signal processing, and/or power system.

 

Project 1:Machine Learning Based Anomaly Detection in Smart Grids

Nowadays, critical infrastructures are joined to the Internet for centralized control and management which created a great potential for unauthorized access and exposed these systems to the same vulnerabilities that plague traditional computer systems and networks. 

This project aimed at exploring the viability of machine learning methods in terms of their ability to identify anomaly or cyber-attacks in smart grids.  Multiple learning methods will be evaluated using a dataset of Remote Terminal Unit communications, which included both normal operations and data injection attack scenarios. We will prove that machine learning algorithms can leverage non-linear relationships between smart power grid measurements to differentiate between malicious, and non-malicious disturbances. The intent of this project is to determine an optimal algorithm that is accurate in its classification to provide reliable decision support to a power system operator.

Candidates should have a strong academic background, proficiency in mathematical modeling, anomaly detection, computer programming and simulation.

 

Project2: Robust controller design for cyber-attacks detection and elimination

Despite all of the efforts towards protecting smart grid against cyber-attack, they are leaving irreparable damages on the system. The goal of this project is to combine advanced control strategies (feedback control and sliding mode control) with cyber-security analysis to enable rapid diagnosis, and appropriate responses to any event. The effect of renewable resources and storage on power system operation will be examined, including balancing authority functions, automatic generation control, and market operation. This will improve fault detection rates and significantly reduce misclassifications.
 

Candidates should have a strong academic background, proficiency in mathematical modeling, control system design,  computer programming and simulation, and familiarity with renewable energy technologies.

 

Prospective Graduate Students

I am always looking for motivated and enthusiastic students with strong background in electrical engineering. The required skills for potential graduate students include:

  • Strong background in control systems and/or programming (C/C++)
  • Experience using MATLAB/Simulink environment
  • Background in detection and estimation theory
  • Strong oral and written communication skills

Before contacting me, please carefully read the Graduate Application Information.

Please strictly follow the format below for your email.

The email subject should be "Prospective Graduate Student (MASc/PhD) ".

The body of your email should include:

  • Your name
  • Your status in Canada, i.e., domestic or international student
  • The program you are applying to and the start date (Fall, Winter, or Summer)
  • Your degree information (university, country, GPA).
  • TOEFL/IELTS scores
  • List of your journal and conference papers

 

 Please attach the PDF file of your complete CV to your email.

Financial assistance for qualified students will be provided as a combination of research assistantship and teaching assistantship. For more information regarding financial support click here.

 

Prospective Undergraduate Students

The email subject should be "Prospective Undergraduate Student". Please attach the PDF file of your complete CV and your transcript to the email. Undergraduate students can apply for URA and USRA for financial support.

 

 

Current Students