Engineering
Liuxin Chen
- Lecturer
- liuxin.chen@jcu.edu.au
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
Fresh and Secure Trade Alliance (FASTA) (Old ID 30029)
Bronson Philippa
01 Jul 2023 - 30 Nov 2030
FASTA is a national research initiative designed to protect and grow Australia's horticultural exports. Within the overall consortium, JCU is developing smart sensor technologies for a variety of pre- and post-harvest applications. We will develop smart traps for real-time monitoring of insect pests in the field and near-infrared spectroscopy methods to identify the species of insects to contribute to management efforts. We will also develop optical scanning methods to remove infested produce from supply chains. Overall, this work contributes towards a large-scale national effort to improve market access, biosecurity and pest management for Australian horticulture.
Identifying and eliminating future risk from regional Queensland wastewater treatment operations through biosolids technology innovation (Old ID 26919)
Elsa Antunes
04 Jan 2021 - 04 Jan 2024
This fellowship will investigate emergent contaminant content in biosolids, technological solutions to mitigate its impact and how these new technologies can prevent future emergent contaminant related disasters. Six North Queensland city councils are investing in this research project to implement sustainable biosolids management technologies in wastewater plants to mitigate environmental pathogenesis and impact of new emergent pollutants in the region. This research project is aligned with two of the research priorities of JCU: Tropical Ecosystems and Environment and Industries, and Economies in the Tropics. This project will leverage new funding applications in the field of pollutants mitigation and agricultural industry.
Janco Enterprise Pty Ltd (Old ID 26174)
Wei Xiang
20 Sep 2018 - 20 Mar 2019
Machine learning sensor network to maintain optimum conditions and collect data for Molten Oxygen Electrolysis (MOE) reactions. Sensor data collection – Supervisory capacity Machine learning logic for maintaining optimum reaction conditions on a provided hardware network Supervisory capacity Suggestion of industry standards for data collection and fail-safe implementation Suggestion of hardware components and configuration JCU’s scope in this project: Supervise on sensor quality before purchase and calibration logic once installed into PCB Supervise on any errors in the output value and possible causes Supervise on provided network structures for reliably and continuously recording data from multiple sensors to multiple SBC’s to an academic standard Supervise on methods for machine learning collection of data Supervise on methods provided for protecting sensor hardware in extreme conditions Check failsafe methods and data collection failsafes for industry standards requirements Consult on final hardware design for industrial conditional requirements (Industrial standards reports will be gathered prior to consultation, this is a 2nd check precaution) All mathematical modelling, programming, purchasing of hardware and construction shall be completed by JE Pty Ltd
INVESTIGATION OF SLURRY PROPERTIES TO ENHANCE GOLD LEACHING (Old ID 30053)
Elsa Antunes
01 Jun 2023 - 31 Mar 2024
This project with the Pajingo Mine involves thesis students solving industry related problems. The main objective is to optimise the production of gold covering 5 main aspects: - Investigate chemical additives to enhance the gold leaching - Determine the relationship between leaching rate and slurry density - Investigate chemical additives that could be used to reduce the slurry viscosity - Determine the relationship between particle size and viscosity for slurry with a P80 of 38microns down to a P80 of 10microns - Investigate ultimate settled density of tailings in a Tailings Storage Facility for tailings initially deposited at 40% solids and 60% solids
Virtual Reality 3D First Aid Training Scene Capture Solution (Old ID 23632)
Wei Xiang
15 Sep 2017 - 31 Dec 2018
To provide a much more immersive experience for first aid training, the funding body - Rescue Swag is seeking a solution to replace the conventional 2D first aid scene capture solution. This project is aiming at design a 3D stereoscopic shooting solution using the high definition camera, including both system design, hardware and software solutions. At the end of this project, a system will be experience, and improve the training outcomes.
Microwave Assisted Pyrolysis of Biosolids (Old ID 20736)
Mohan Jacob
01 Jul 2013 - 17 May 2017
This project will be a scoping study of the application of microwave energy for pyrolytic decomposition and chemical and nutrient recovery from biosolids and food processing waste streams. By using the collaborative expertise and facilities of a number of research institutions, the following objectives are embodied in this project: 1) Perform a detailed investigation of the existing knowledge in this area of study and thus formulate techniques to bridge the knowledge gap; 2) Perform microwave assisted characterization of biosolid materials; 3) Design and fabrication of a 3 kW microwave assisted pyrolysis system; 4) Perform a chemical and nutritional content study of the pyrolytic products; 5) Compare the operational economics and products of microwave-assisted pyrolysis with those of conventional high temperature pyrolytic processes.
Entrainment and mixing in turbulent negatively buoyant jets and fountains (Old ID 22048)
Wenxian Lin
05 Apr 2016 - 04 Apr 2019
Volcanic eruptions, building ventilation and brine discharge from desalination plants are all examples of the occurrence of turbulent fountains and negatively buoyant jets. Management and design of these processes requires the ability to accurately predict these flows and, in particular, entrainment and mixing with the ambient fluid. We will conduct the first detailed investigation into the turbulent structure of fountains and negatively buoyant jets using numerical simulation and laboratory experiments, assess the accuracy of the commonly used integral models and test the effect of the use of more accurate entrainment relations.
Improving the resilience of existing housing to severe wind events (Old ID 23502)
John Ginger
01 Jul 2017 - 30 Jun 2021
This research is to develop cost-effective strategies for mitigating damage to housing from severe windstorms across Australia. These evidence-based strategies will be (a) tailored to aid policy formulation and decision making in government and industry, and (b) provide guidelines detailing various options and benefits to homeowners and the building community for retrofitting typical at-risk houses in Australian communities.
Applications for Magnetic Resonance Image Guidance in Radiation Therapy in Prostate Cancer. (Old ID 27208)
Mostafa Rahimi Azghadi
29 Mar 2021 - 30 Sep 2024
Prostate cancer is a serious disease with a large burden on the Australian health system, often treated with radiation therapy (RT). A specific RT treatment called Magnetic resonance image-guided radiation therapy (MRIgRT) combines imaging with therapy to provide potentially superb targeting. In this project, technical machine learning solutions for novel applications of MRIgRT will be explored.
Sugar-AI: Smart Sugarcane Health Monitoring and Ratoon Stunting Disease (RSD) Detection with Satellite Remote Sensing and Machine Learning (Old ID 30057)
Mostafa Rahimi Azghadi
01 Aug 2024 - 31 Dec 2025
The aim of the Sugar-AI project is to develop a prototype smart software system for sugarcane health monitoring. The prototype will focus on accurately diagnosing Ratoon Stunting Disease (RSD), which is considered by most sugarcane pathologists globally to be the most important disease that impacts on sugarcane yields between 5-60%.
Blue carbon ecosystem monitoring using remote sensing reveals wetland restoration pathways
- 2022
- Frontiers Research Foundation
- Researchers:Mahmood Sadat Noori
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