I teach at both graduate and undergraduate levels, with teaching modules spanning power systems, artificial intelligence & machine learning, mathematics, and engineering capstone projects.

Teaching Modules at Graduate Level

• Area 1 (Artificial Intelligence and Machine Learning)

  1. EE772 Machine Learning (Spring 25, Spring 24)

  2. EE779 Computational Intelligence (Fall 24, Fall 23, Fall 22)

  3. EE873 Special Topics in Machine Learning (Spring 25)

• Area 2 (Power Systems)

  1. EE761 Power System State Estimation (Fall 26)

  2. EE659 Power System Component Modelling (Spring 26)

  3. EE858 Special Topics in Power and Controls (Spring 23)

• Area 3 (Mathematics)

  1. EE731 Optimization Techniques (Fall 25)

Teaching Modules at Undergrad Level

• Area 1 (Artificial Intelligence and Machine Learning)

  1. EE318/CE351 Artificial Intelligence for Engineers (Fall 26, Spring 26, Fall 25, Spring 25, Spring 24)

  2. CE353 Introduction to Artificial Intelligence (Fall 24)

• Area 2 (Power Systems)

  1. EE446 Power System Analysis (Fall 26, Fall 25, Spring 23) 

  2. EE443 High Voltage Engineering (Spring 26, Fall 23, Fall 22)

  3. EE441 Power Transmission Systems (Summer 22)

• Area 3 (Mathematics)

  1. MA220 Linear Algebra and Transforms (Fall 24)

• Area 4 (Engineering Capstone)

  1. EE493 Final Year Project-II (Fall 24)