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
Developing an innovative low-power and high-speed architecture for smart machines (Old ID 25065)
Mostafa Rahimi Azghadi
01 Jul 2018 - 31 Dec 2018
This project aims to significantly improve the processing speed and power consumption of intelligent, mobile computing devices. Using a novel computing architecture inspired by the low-energy, parallel processing of the brain, the project will overcome a major impediment to progress, that placing ever more transistors on electronic chips is reaching its physical limits. The intended outcomes include important theoretical advances in electronic engineering, a new architecture enabling intelligent devices to operate independently of remote supercomputers, and a software trial in a robot. Applicable to devices ranging from smartphones to medical diagnostic equipment to autonomous vehicles, the new architecture promises significant benefits.
Independent testing of solar panel cooling device (the B-Panel) (Old ID 23054)
Ahmad Zahedi
01 Aug 2016 - 31 Dec 2017
Provide independent testing of a solar panel modification claiming to boost average power output by 30%. Testing will help progress the concept and current prototype further towards commercialisation. Test a collaboration model for new, early stage start-ups being trailed by JCU and iNQ. Aims to explore how access to JCU's technical skills, equipment and technical mentoring plus guided linkage with local entrepreneurial activities at iNQ e.g. Involvement in Start-Up weekends and membership of iNQ plus access to one-on-one entrepreneurial assessment, mentoring and training activities at iNQ improves the chances of success for micro and SMEs in commercialisation ideas.
Deep Learning for Waste Management (Old ID 27687)
Mostafa Rahimi Azghadi
12 Aug 2022 - 30 Jun 2027
To keep our planet safe and healthy, new techniques for managing and recycling waste should be devised. This project aims to use the latest advances in deep learning and computer vision technologies to better manage waste by developing a fast and accurate waste analysis system.
Vibration analysis of mining industry conveyor belt systems: validation of method and pathways to improvement (Old ID 26579)
Bronson Philippa
19 Aug 2019 - 19 Feb 2020
Equipment failures in the mining industry can cause serious safety hazards and substantial financial losses. An automated, cost-effective monitoring system that could be retrofitted to existing equipment would provide advance warning to operators and reduce the likelihood of unscheduled outages. This project will test and validate a vibration-based monitoring system for conveyor belts and associated equipment. It will also identify improved methods to analyse the vibration data to increase the sensitivity and/or accuracy of the alerts that are generated.
Mix Designs for Paste Aggregate Fills (Old ID 22395)
Siva Sivakugan
27 Dec 2015 - 30 Apr 2016
JCU is requested to prepare the paste aggregate fill (PAF) samples, mixed with tailings in three different proportions. The samples are approximately 200mm diameter and 400mm in length, and the PAF should exclude fractions larger than 20mm and those less than 1.18mm. In all three mixes, UCS tests will be carried out after 7, 14, 28, 56 and 100 days and strength and Young's modulus will be determined. In addition, the grain size distribution, specific gravity, bulk density, and moisture content will be determined. In addition, it is also required to carry out slump tests on the different mixes using the standard slump cone.
Effective PPE waste processing using microwave pyrolysis (Old ID 28926)
Mohan Jacob
01 Jul 2022 - 30 Jun 2023
This project aims to investigate the feasibility of processing the PPE waste materials using a Microwave Assisted Waste processing technology developed at James Cook University. The specific objectives of the project are: i. Identify the processing conditions (e.g. Microwave power, time) suitable to kill pathogens in the waste material ii. Investigate the presence of pathogens in the residual material or by-products iii. Understand the physical and chemical properties of the by-products to identify potential applications
Performance tests of acid mist suppressants (Old ID 22793)
Yinghe He
01 Jul 2016 - 30 Sep 2016
This project will test the effect of two (2) chemicals (acid mist suppressants) supplied by Huntsman Corporation on the morphology of the cathode during an electro-winning process.
Qcide® Oil Extraction and Processing Technology with the aim to improve the oil extraction process (Old ID 26262)
Yinghe He
10 Dec 2018 - 10 May 2019
Implement an on-site experimentation program to establish baseline parameters (temperature, pressure, flow rates, oil yield) for the existing static oil extraction system using instrumentation acquired and installed as part of a previous (Phase 1) project. Evaluate the effect of key extraction process variables on the quantity and quality of the oil, and evaluate product change with process variable(s). Correlate the measurement results with the oil content results to develop an understanding of steam flow, biomass-stream contact and the oil extraction dynamics, and their possible variations from batch to batch. Analysis and reporting of experimentation results.
Improving the resilience of existing housing to severe wind events (Old ID 21317)
John Ginger
01 Jan 2014 - 30 Jun 2017
Australian houses built prior to the mid 1980s do not offer the same level of performance and protection during windstorms as houses constructed to contemporary building standards. This project will develop the evidence base for risk mitigation by devising simple practical and economic upgrading options for existing houses. The primary objective of this project is to develop cost-effective strategies for mitigating damage to housing from severe windstorms across Australia. Outputs from this project will target a range of users from policy development through to homeowners and builders on recommended actions to improve resilience of existing housing.
Electromagnetic Field (EMF) Radiation Study for ESCO Pacific (Old ID 22962)
Ahmad Zahedi
29 Aug 2016 - 21 Oct 2016
To investigate the current Australian and International Guidelines and allowable EMF radiation limits to provide the regulatory context to ESCO Pacific for their planned solar farm as well as measure the current baseline EMF radiation levels around existing power lines, various locations on the site of intended solar farm as well as in-home EMF radiation measurements in selected surrounding residential properties to assess EMF emission compliance.
Start Date:
01 Jan 2005
Title:
BSc, University of Tehran
Start Date:
01 Jan 2005
End Date:
01 Jan 2009
Title:
MSc, University of Tehran
Start Date:
01 Jan 2009
End Date:
01 Jan 2012
Start Date:
01 Jan 2013
End Date:
01 Jan 2017
Start Date:
01 Jan 2020
End Date:
01 Jan 2020
Start Date:
01 Jan 2022
End Date:
01 Jan 2022
Start Date:
01 Jan 2018
End Date:
01 Jan 2020