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
JCU-NEEPU joint PhD program-MOU
James Cook University and Northeast Electric Power University intend to work towards the establishment of an exchange and training program for postdoctoral and Ph.D. candidates in electrical power systems, renewable energy and electronic information.
Emerging technologies for advanced geochemical exploration undercover
Isotope geochemistry can provide powerful insights to the sources or process involved in the formation of an ore deposit. Weathering ore bodies produce unique isotopic fingerprints which can be tracked by using groundwater to undertake exploration undercover. There has been increasing commercial interest in searching for Cu a critical element for the green energy transition through this sustainable technique. However, current approaches suffer from several limitations due to the saline nature of groundwater which limits the sample size that can be routinely processed. This project will use automated separation techniques to achieve greater enrichment factors to enable high precision isotope measurements.
High-throughput neutron tomography core scanner for critical minerals resources
This project aims to develop a drill core scanner based on neutron tomography technology.
An Artificial Intelligence Enabled Automatic Detection of Estuarine Crocodiles in Queensland Waterways Using Digital Video
This is a collaborative project between James Cook University (JCU) and the Department of Environment, Science, and Innovation (DESI) to develop an artificial intelligence (AI) based software that leverages digital video for the detection of estuarine crocodiles (C. Porosus) in Queensland's waterways. Building on previous research and utilizing extensive footage from Hartley’s Crocodile Adventures, this project aims to create an AI-based pilot detection system operational in both day and night settings to enhance safety around high-risk waterways.
Development of a Control System for a Flight Simulator Platform
This project involves the development of a control system for a flight simulator platform. The system will retrieve real-time roll, pitch, and yaw data from X-Plane’s API and control two stepper motors and one DC motor accordingly.
High shear fluid flow driving carbon foundry for advanced manufacturing (Old ID 28965)
The project aims to develop versatile continuous flow film microfluidic device technology by harnessing the contact electrification generated by sub-micron high shear topological flow, for fabricating novel nano-carbon material for which current methods are ineffective or of limited utility. This technology incorporates optional external electric and magnetic fields, and textured surfaces in the rapidly rotating tube, which will allow exquisite control, with real time monitoring, on reforming of carbon into functional material with tunable properties and fabricating hetero-structures of nano-carbon. Understanding their fundamental properties will be targeted for leveraging them in applications to generate new processes and products.
Develop an AI based zero-lag flood monitoring and reporting system (Old ID 29019)
The project will marshall appropriate flood relevant data including images and process it accordingly to facilitate model building. We will then move to the development of statistical models that optimise data capture locations, accuracy, low latency through asset location while minimising deployment costs. We will subsequently design an AI means to improve current flood mapping models based on actual Lixia field water level sensor data utilising ensemble optimisatin, leading to the development of online toolsets to transmit flood level prediction information. We will also engage with regional local governments water and emergency agencies as appropriate to test and qualify minimum viable products and processes.
Gilbert Project
This project evaluates water availability and irrigation feasibility for farms in the Gilbert region, with a focus on Saint Ronan’s. It involves water simulations to develop crop water budgets and an irrigation assessment to identify optimal water management strategies for sustainable crop production.
Gilbert Project
This project evaluates water availability and irrigation feasibility for farms in the Gilbert region, with a focus on Saint Ronan’s. It involves water simulations to develop crop water budgets and an irrigation assessment to identify optimal water management strategies for sustainable crop production.
Operation of Flexible Load Demand and Distributed Energy Resources in Renewable-Rich Power Systems
This project addresses critical gaps in optimal operational strategies for power distribution systems with high levels of distributed energy resources and flexible load demand. Our proposed algorithms and models have proven instrumental in advancing decarbonization efforts and enhancing the resilience of power supply for energy consumers.
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