Engineering
Mohamadreza Chalak Qazani
- Lecturer, Mechanical Engineering
- mohamadreza.chalakqazani@jcu.edu.au
Lewis Gooch
- Lecturer
- lewis.gooch@jcu.edu.au
Judy Yang
- Postdoctoral Research Fellow, Applied AI for Forestry Weed Detection and Mapping
- judy.yang@jcu.edu.au
Bouchra Senadji
- Head, Engineering
- bouchra.senadji@jcu.edu.au
Alzayat Saleh
- AIMS@JCU Postdoctoral Research Fellow, Marine Science Technology
- alzayat.saleh@jcu.edu.au
Anne Steinemann
- Adjunct Professor
- anne.steinemann@jcu.edu.au
Nico Adams
- Professor, Electronic Systems & IoT Engineering
- nico.adams@jcu.edu.au
Elsa Antunes
- Associate Professor, Mechanical Engineering
- elsa.antunes1@jcu.edu.au
Eric Wang
- Senior Lecturer, Electronic Systems and IoT Engineering
- eric.wang@jcu.edu.au
Yang Du
- Senior Lecturer, Electronic Systems and IoT Engineering
- yang.du@jcu.edu.au
A mobile app and dashboard for effective management of early-stage chronic kidney disease
This project is funded by the Northern Australia Regional Digital Health Collaborative (NARDHC). The incidence and prevalence of chronic kidney disease (CKD) varies globally, and people in the lowest socioeconomic quartile have a 60% higher risk of progressive CKD. This project aims to develop a mobile app that detects vulnerable individuals who are at risk of deterioration in renal function and are needing intervention, while also allowing monitoring and appropriate education to those who are progressing steadily. The expected outcome is a novel mobiele analytic app that can improve the management of CKD patients in rural and remote areas for better health outcomes and planning.
Development of a machine learning tool for gap-filling cloudy satellite data for use in environmental science application
In this project, we developed an artificial intelligence tool for gap filling sea-surface temperatures in cloud-affected data. The results are now published in IEEE Transactions on Geoscience and Remote Sensing (IF: 8.2 in 2024)
Do you see what I see? Developing responsible Artificial Intelligences that explain their decisions in a manner consistent with human attention
In this project, I am developing a novel method for evaluating explainable AI methods that is based on how humans pay attention to images. This will assist future researchers in benchmarking new explainable AI tools.
Wind driven rain-water Ingress through windows and doors. (Old ID 27058)
Water ingress through windows and doors is a leading cause of damage bills during severe weather. This project aims to determine basic relationships between applied pressure due to wind, amount of water incident on the window/ door and the resulting water ingress. Testing will be conducted using a specialised test chamber at the CTS capable of applying a range of wetting rates as well as both static and fluctuating pressures. The data from this project will allow the development of a standardised test method that will allow manufacturers to meet certain performance criteria to prevent unreasonable water ingress through windows and doors.
Advanced manufacturing of Antennas and Microwave Components for Radio Astronomy and Space Applications (Old ID 27259)
An investigation into advanced manufacturing methods such as additive manufacturing and the use of conventional and novel materials. Thus, this project will investigate the optimum design conditions for manufacture of microwave components such as antenna and feed system components to exploit the performance benefits available. The study will also investigate the feasibility of using conventional and novel materials and the material manufacturing process. The outcomes of this research will be useful in several communication applications including satellite communication and space research.
Airbag deployment test (Old ID 30048)
AEP Advance Engineering is planning to study airbag deployment in a car after modifications done on the car. This test will study an airbag deployment along the ceiling using high-speed camera at high frame per second rate of 5000. This study aims to investigate the deployment stages of the airbag and visually capture this process, so modifications applied on the car does not interfere with safety.
Sustainable use of tailings as land-fill and non-structural construction material - Phase 1 (Old ID 27170)
The central aim of the project is the assessment of blended residue from Townsville Energy Chemicals Hub (TECH) for sustainable use. Tailings can be processed to remove the acidic content or mixed with binder to become safe backfill or non-structural materials. TECH proposed to process annually 600,000 tons of high grenade Nickel and Cobalt ore. Phase 1 of the project will undertake physical, chemical, geotechnical and engineering strength tests on tailings from TECH to estimate the limits and to assess characteristics, including the acid-insoluble content of the tailings. The understanding will help to develop research in phase 2 and 3.
ARC Industrial Transformation Training Centre in Plant Biosecurity
The Biosecurity Training Centre aims to deliver a solution for Australia’s increasing biosecurity risk through generational change in its workforce coupled with breakthrough technologies. It will launch an innovative training program for future leaders who will build relationships with end users and engage meaningfully with communities for effective implementation strategies. The Centre will provide data-driven systems, behavioural change for adoption and authentic industry engagement. This suite of graduates and technologies will transform the biosecurity sector and protect Australia’s critical agricultural industries.
ARC Industrial Transformation Training Centre in Plant Biosecurity
The Biosecurity Training Centre aims to deliver a solution for Australia’s increasing biosecurity risk through generational change in its workforce coupled with breakthrough technologies. It will launch an innovative training program for future leaders who will build relationships with end users and engage meaningfully with communities for effective implementation strategies. The Centre will provide data-driven systems, behavioural change for adoption and authentic industry engagement. This suite of graduates and technologies will transform the biosecurity sector and protect Australia’s critical agricultural industries.
Sex determination of fruit fly pupa using Near Infrared Spectroscopy. (Old ID 26970)
Implementation of an effective sterile insect program for fruit fly species Bactrocera tryoni requires that only sterile male insects be released. Therefore at some stage of the fly production process the females need to be removed. Hand sexing is very labour intensive and current automated systems based on colour and size are not effective in differentiating between male and female pupae for B. tryoni. Hence, a non-destructive, rapid method of sex separation is required that does not impact on the viability of the pupae and which can be incorporated into a mass rearing system. Preliminary research has demonstrated that Near Infrared Spectroscopy (NIRS) has great potential as an objective non-invasive method to sex B. tryoni pupae. The aim of this project is to develop and semi-automate a non-invasive rapid assessment technique to rapidly and consistently sort male and female B. tryoni pupae based on NIRS technology.
Direct simulation of weak axisymmetric fountains in a homogeneous fluid
- 2000
- Cambridge University Press
- Researchers:Wenxian Lin
Natural convection cooling of rectangular and cylindrical containers
- 2001
- Researchers:Wenxian Lin
Start Date:
01 Jan 2010
End Date:
01 Jan 2015
Start Date:
01 Jan 2004
End Date:
01 Jan 2006
Start Date:
01 Jan 2010
Title:
Senior Member, IEEE
Start Date:
01 Jan 2012
Title:
Reperio Innovation Award
Start Date:
01 Jan 2015
Start Date:
01 Jan 2015
Start Date:
01 Jan 2013
Start Date:
01 Jan 2010
Start Date:
01 Jan 2006
Start Date:
01 Jan 2006