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 Renewable Generation and Smart Grid
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.
CEG5302 Evolutionary Computation and Applications
The field of evolutionary computation encompasses machine learning methods inspired by biological evolution, as well as the computational modelling of evolutionary processes in nature, and is fast becoming the most active field of research in intelligent systems. The techniques of evolutionary computation and machine learning are being widely used in the scientific and commercial worlds, and as a result, there is a growing need for well qualified and experienced people in this area. This module aims to introduce students to the foundational principles of these techniques and theories behind them. Students will not only have been trained in these techniques but, given the highly
practical and experimental nature of this type of work, have the opportunity to develop their skills by tackling problems related to industrial needs or to leading edge research.
EE5713 Modern Power Systems and Smart Grid
The smart grid promises possibility of greater integration of renewable generation and more efficient grid operations. Smart grids counteract variability of renewable sources by providing more accurate information, more refined control, and better resources utilization. This course aims to introduce students to the fundamental components of smart grid, demand side management and energy efficiency. Students will develop an understanding of the various possibilities that intelligent energy management programs offer.
