Teaching


Modern electrical engineering education must prepare students to solve a wide range of engineering problems. Thus in the classroom, I place great emphasis on showing students how engineering fundamentals are critical to various broader issues. I employ a variety of teaching strategies, as circumstances seem to warrant. I try to balance theory and practice and use real-world examples that students can relate to. To an extent limited by large class sizes, my goal is to make every effort to actively educate the class as a whole and to build upon the strength of my students. I consider it important for my students to leave with, if nothing more, an understanding of professional and ethical responsibilities and recognition of the need for life-long learning.

Modules currently teaching:


EE6531 Selected Topics in Smart Grid Technologies

Basic concepts and structures of micro-grid, smart grid, and vehicular technologies are discussed in this module. Major topics covered are: power converters for smart grid, electric and fuel cell vehicles, battery management system, Intelligent multi-agent control and cyber security of smart grid, system level issues, and recent development in such emerging technologies.

EE4511 Sustainable Energy Systems

This module provides the students with a good understanding of analysis and management strategies for promoting the advancement and use of economically and environmentally sustainable electrical energy systems. The module will cover distributed generation and renewable energy sources, and strategies for supply and demand side management for efficient resource utilisation. Issues related to environmental impact of electrical energy generation will be discussed. Models of power distribution systems with embedded generation and microgrids will be introduced. The module will also cover supply-grid interconnection, and reliability and power quality issues.

EE4501 Power System Management & Protection

Robust and reliable power supply is a backbone of any industrial society. This module provides necessary analytical tools required to assess the performance of existing electric power systems under various operating conditions and also to plan the future expansion of such systems. In addition, it introduces various protection schemes employed in the industry. It adequately prepares students seeking employment in the electric energy related industries. The topics covered are: Modeling of power systems: bus admittance and bus impedance matrices, network building algorithms; Load flow studies: problem formulation, computer solution techniques, applications; Fault analysis: symmetrical components, sequence impedance networks, symmetrical and unsymmetrical faults; Protection: components, relay coordination; Protection of distribution systems; Differential, and earth fault protection systems.

EE6701 Evolutionary Computation

This course explores how principles from theories of evolution can be used to construct intelligent systems. Established evolutionary paradigms as well as, significant new developments, including evolutionary algorithms, evolutionary strategies, evolving neural networks, ant-colony optimization, artificial immune systems, and swarm intelligence will be covered. Students will be taught how these approaches identify and exploit biological processes in nature, allowing a wide range of applications to be solved in industry and business. Key problem domains such as multi-objective scheduling, optimization, search, and design will be examined. Students will gain hands-on experience in applying these techniques to real-life problems through project work.

EE5702R – Advanced Power Systems Analysis

This is a postgraduate module offered to students specializing in Power and Energy area. It provides the necessary fundamentals in power systems analysis. Current advancement in power systems is also discussed through case studies in a seminar style. Topics covered in this module include Advanced power flow analysis; Power flow equation and solution techniques; Optimal power flow; Economic dispatch; Introduction to power system state estimation; Least square state estimation and Introduction to power system controls and stability analysis. This module acts as a pre-requisite for graduate students to pursue other advanced level courses in Power Systems.