ENGINEERING AND MATHEMATICAL SCIENCES
Bachelor of Engineering & Master of Professional Engineering
Final Year Project Descriptions
Aman, Zach, Assoc/Prof
An, Hongwei, Dr
Antoszewski, Jarek, A/Prof
Antoszewski, Jarek, A/Prof
Aslani, Farhad, Dr
Aslani, Farhad, Dr
Aslani, Farhad, Dr
Aslani, Farhad, Dr
Basarir, Hakan, Assoc/Prof
Basarir, Hakan, Assoc/Prof
Basarir, Hakan, Assoc/Prof
Beemer, Ryan, Dr
Bekki, Kenji, Dr
Visual identification of coronary arterial lesion from three-dimensional coronary computed tomography angiography (CTA) remains challenging. We aimed to develop a robust automated algorithm for computer detection of coronary artery lesions by machine learning techniques.
Blair, David, Winthrop Professor
Braunl, Thomas, Prof
Braunl, Thomas, Prof
Braunl, Thomas, Prof
Braunl, Thomas, Prof
Braunl, Thomas, Prof
Bräunl, Thomas, Prof
Burrel Andrew, Senior Technician
Burrel Andrew, Senior Technician
Cardell-Oliver, Rachel, Assoc/Prof
Cardell-Oliver, Rachel, Assoc/Prof
Prerequisite skills: Programming (eg R or Python or Java), Web programming and visualization (e.g. Javascript, D3, visualization libraries), knowledge of data mining techniques.
Cardell-Oliver, Rachel, Assoc/Prof
Prerequisite skills: Programming (eg R or Python or Java), and/or Web programming and visualization (e.g. Javascript, D3, visualization libraries), knowledge of data mining techniques.
Recommended reading:
Smart meter Analytics to Pinpoint Opportunities for Reducing Household Water Use
http://ascelibrary.org/doi/abs/10.1061/(ASCE)WR.1943-5452.0000634
Cheng, Liang, Prof
An, Hongwei, Dr
The aim of this project is to investigate the hydrodynamic forces on pipelines laid on rocky seabed. The effect of bed topography and porosity on hydrodynamic forces will be investigated through conducting a number of physical tests in the world unique O-tube testing facilities located at UWA and a wave flume located at Dalian University of Technology in China. The flow conditions examined include (1) steady currents, (2) waves and (3) combined waves and steady currents. Overseas travel scholarships will be provided for successful applicants of this project.
Chow, Shiao Huey, Dr
Chua, Hui Tong, Prof
Chua, Hui Tong, Prof
Chua, Hui Tong, Prof
Chua, Hui Tong, Prof
Doherty, James, Dr
Doherty, James, Dr
Doherty, James, Dr
Draper, Scott, Dr
Durham, Richard, Prof
Durham, Richard, Prof
Durham, Richard, Prof
Durham, Richard, Prof
Elchalakani, Mohamed, Dr
Elchalakani, Mohamed, Dr
Elchalakani, Mohamed, Dr
Faiello, Cosimo, Assoc/Prof
Fourie, Andy, Prof
French, Tim, Dr
Hassan, Ghulam Mubashar, Dr.
Fridjonsson, Einar, Dr
Fridjonsson, Einar, Dr
Gong, Peijun, Research Associate
Gong, Peijun, Research Associate
Graham, Brendan, Dr
Hassan, Ghulam Mubashar, Dr
Visual monitoring is important in a range of applications from security to mineral exploration to space exploration. Structural health monitoring (SHM), which seeks to recognise very small changes in natural and man-made structures, is important for maintenance and disaster prevention.
Traditional techniques for SHM assume a fixed sensor (camera, radar, etc). In future, more flexible and comprehensive monitoring will be available using moving sensors (drones).
This project seeks to combine fine-grained image analysis techniques suitable for fixed sensors with adaptive search techniques suitable for larger scale movement, with a goal of observing small-scale changes from a moving platform.
Hu, Pan, Dr
Hu, Yuxia, Prof
Huang, David, Professor
Huang, David, Prof
Huynh, Du, Dr
Iu, Herbert, Prof
Johns, Mike, Prof
Jones, Nicole, Dr
Jones, Nicole, Dr
Ju, Li, Prof
Karnowski, Karol, Research Fellow
Karrech, Ali, Assoc/Prof
Karrech, Ali, Assoc/Prof
Karrech, Ali, Assoc/Prof
Karrech, Ali, Assoc/Prof
Karrech, Ali, Assoc/Prof
Keating, Adrian, Assoc/Prof
Keating, Adrian, Assoc/Prof
Kennywell John, Ass/Prof
Kim, Youngho, Research Assoc
Kimiaei, Mehrdad, Ass/Prof.
Kostylev, Mikhail, Prof
Lehane, Barry, Prof
Lehane, Barry, Prof
Lehane, Barry, Prof
Lei, Wen, Prof
Leong, Yee-Kwong, Prof
Leong, Yee-Kwong, Prof
Leong, Yee-Kwong, Prof
Li, Jianxin, Dr
AI Hasan Haldar, Nur, Mr
Li, Jianxin, Dr
Cai, Taotao, Mr
Liu, Yinong, Prof
Liu, Yinong, Prof
Male, Sally, Dr
Martyniuk, Mariusz, Prof
May, Eric, Prof
McCormick, Paul, Prof
McFerran, John, Dr
Mian, Ajmal, Assoc/Prof
Gilani, Syed, Dr
Mian, Ajmal, Assoc/Prof
Gilani, Syed, Dr
Miller, Karol, Prof
Miller, Karol, Prof
Milne, Ian, Dr
Nener, Brett, Prof
Nener, Brett, Prof
Phan, Anthony, Research Assoc
Ravanbakhsh, Mehdi, Dr – Mapizy CEO
Mian, Ajmal, Professor, Ramzi, Pouria, Dr and Mapizy CTO
The current approach for solar panels detection is manual which is time-consuming and costly. Furthermore, manual approach cannot keep up with the demand for frequent updating of solar panels map.
This project aims to develop an automated approach for the extraction of solar panel in aerial images. It includes two steps: first, solar panels presence are determined through deep learning technology followed by their delineation through computer vision methods and techniques.
Reynolds, Mark, Prof
Fernando, Tyrone, Prof
Iu, Herbert, Prof
Genetic Algorithms and Linear Programming for Optimisation of Power Distribution Networks
Reynolds, Mark, Prof
While, Lyndon, Dr
Genetic Algorithms for Engineering Applications
Reynolds, Mark, Prof
Sun, Chao Dr
Prerequisite skills: Programming, preferably Python or C++ but not a must; Excel data analysis.
There has been a lot of hype and hope on Autonomous Vehicles (AVs). However, there is little research on what impact they might have on the transport system at a macro level. For example, many are hoping for a large increase on road capacities because of the precision driving capacity of the machines. However, current research suggests that AVs are going to have limited impact if they are not connected. Other researchers have suggested that the performance is at the cost of passenger comfort. If parameters of AVs have to be tuned down to take care of the latter, then the whole system might suffer. Currently, microsimulation is the best way to answer these questions. Students will create customised AV simulation models and use those models for scenario testing.
Sampson, David, Prof
Sampson, David, Prof
Schediwy, Sascha, Dr
Schediwy, Sascha, Dr
Schediwy, Sascha, Dr
Sercombe, Tim, Prof
Sercombe, Tim, Prof
Silva, Dilusha Prof
Silva, Dilusha Prof
Silva, Dilusha Prof
Silva, Dilusha Prof
Silva, Dilusha Prof
Smith, David, Prof
Gardiner, Bruce, Prof
Prerequisite skills: This challenging project requires excellent knowledge of non-linear reactive transport theory, porous media theory, ion activity and osmosis theory, knowledge of partial differential equations and boundary conditions, finite element methods and computational modeling, and a willingness to learn the requisite renal biology (and language).
Sreeram, Victor, Prof
Sreeram, Victor, Prof
Sreeram, Victor, Prof
Sreeram, Victor, Prof
Sreeram, Victor, Prof
Sreeram, Victor, Prof
Sreeram, Victor, Prof
Sreeram, Victor, Prof
Stanwix, Paul, Dr
Stanwix, Paul, Dr
Stanwix, Paul, Dr
Stanwix, Paul, Dr
Sunderland, Andrew, Dr
Tavner, Angus, Dr
Tavner, Angus, Dr
Tavner, Angus, Dr
Tian, Yinghui, Dr
Tobar, Michael, Prof
Tobar, Michael, Prof
Togneri, Roberto, Prof
Togneri, Roberto, Prof
Togneri, Roberto, Prof
Togneri, Roberto, Prof
Togneri, Roberto, Prof
Tong, Feifei, Dr
Tong, Feifei, Dr
Wallace, Vincent, Assoc/Prof
Wallace, Vincent, Assoc/Prof
Wen, Linqing, Prof
Wen, Linqing, Prof
Wittek, Adam, Prof
Wittek, Adam, Prof
Wittek, Adam, Prof
Xiao, James, Dr
Zhang, Dongke, Prof
Zhang, Dongke, Prof
Zhang, Dongke, Prof
Zhang, Dongke, Prof
Zhang, Dongke, Prof
Zhao, Chunnong, Professor
Zhao, Wenhua, Dr
Zhou, Tongming, Prof
Zhou, Tongming, Prof
Zhou, Tongming, Prof
Zhu, Mingming, Dr