The purpose of this research is to propose new fingerprint classification algorithm for Automatic Fingerprint Identification Systems. The developed algorithm are tested with 157 fingerprints, the correct classification rate is better than 90%.

Some specific areas that this research is attempting to expand are:- Investigating the extent of reduced harmful emissions using various ratios of Diesel-Hydrogen mix; determining the effect of Diesel type on NOx, SOx, and PM (Soot/particulate) emissions with Hydrogen induction; advantages of using Diesel-Hydrogen mix for remote area power supply (RAPS) as alternative fuel are investigated.

This project is supported by Ford Australia and concerns the energy aspect of hybrid vehicles (especially two wheeled vehicles i.e. scooters). The project involves using artificial intelligence (AI) to properly predict and optimize the energy management of a hybrid scooter under various driving conditions. Read More....

This project aims to investigate and develop a control system to achieve the optimum performance of a four cylinder mixed hydrogen-petrol hybrid internal combustion engine in a Toyota Corolla. The developed system, which includes several ancillary instruments for measuring various engine operating parameters and emissions are fitted to appraise the performance of the hydrogen powered car. Read More....

The aim of this project is to experimentally derive models of the air movement in the wall and subfloor cavities of a residential building as a function of building geometry and weather condition. The effect of this air movement on the overall thermal performance of the building will be quantified. Read More....