About

S. Mostafa Rahimi Azghadi graduated with a Bachelor’s Degree in Computer Engineering (majoring in hardware) with the first class rank in 2006 and obtained his Master of Engineering in Computer Architecture with first class honours and commended thesis, from Shahid Beheshti University (SBU), Tehran, Iran, in 2009. In 2010, he was awarded an Australian International Postgraduate Research Scholarship (IPRS) and the Australian Postgraduate Award (APA) to pursue his PhD in the School of Electrical & Electronic Engineering, The University of Adelaide. In 2014 he completed his PhD with Dean's commendation for doctoral thesis excellence with a thesis entitled "Neuromorphic VLSI Designs for Spike Timing and Rate-based Synaptic Plasticity with Application in Pattern Classification" earning the Doctoral Research Medal, as well as the Adelaide University Alumni Medal, which is awarded to only one alumnus annually. In 2012 and 2013, he was a visiting PhD student in the Neuromorphic Cognitive System group, Institute of Neuroinformatics, University and Swiss Federal Institute of Technology (ETH) Zurich, Switzerland, hosted by Prof. Giacomo Indiveri.  

From 2014 to 2015, Dr Rahimi was a postdoctoral fellow in a joint industry-university project between The University of Adelaide and Australian Semiconductor Technology Company (ASTC), working in the area of smart sensors for biomedical applications. From 2015 to 2016, Mostafa was a postdoctoral fellow at the University of Sydney School of Electrical and Information Engineering, where he researched in the area of VLSI design and VLSI interfaces for nanoscale sensors. In 2016, Dr Rahimi joined JCU as a continuing lecturer (assistant professor), where he is currently involved in teaching and research in the areas of neural-inspired computing, embedded system designs, hardware acceleration of machine learning algorithms, memristive computing, and nanoelectronics.  

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PhD Scholarship Opportunities

I am always looking for talented and self-motivated students who would like to join my group. Students seeking a scholarship should initially contact me to discuss their proposed research project or to be given possible research ideas for a PhD scholarship application. 

Australian Government Research Training Program Scholarships and James Cook University Postgraduate Scholarships are competitive scholarships open to domestic and international research applicants. More information on these scholarships and the application deadlines/requirements are outlined at Postgraduate Research Scholarships. Application deadlines for JCU scholarships are usually Late September. 

China Scholarship Council (CSC) scholarship also offers funding for Chinese students who would like to study a PhD in Australia. Furthermore, PhD students currently studying in China can apply for a CSC visiting PhD scholarship. Please contact me directly if interested. 

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Postdoctoral Fellowships Opportunities

I am highly interested to host postdoctoral fellows in my group to collaborate with our research team and to conduct high-quality and impactful research. Interested applicants should contact me to discuss their research proposal and after approval can apply for a short-term postdoctoral research fellowship. 

Teaching
  • CC2511: Embedded Systems Design (Level 2; TSV)
  • EG1002: Computing and Sensors (Level 1; TSV)
Interests
Professional
  • Senior Member of IEEE
  • IEEE Northern Australia Section Treasurer
  • Founding chair of IEEE NA Young Professional Group.
  • Associate Editor - Frontiers in Neuromorphic Engineering
  • Associate Editor - IEEE Access
Research
  • Neuromorphic Engineering, Nanoelectronics, Embedded Systems, Hardware Acceleration of Machine Learning Algorithms
Teaching
  • I teach three hands-on engineering subjects ranging from first-year programming to third-year embedded system design, in Townsville. My main teaching philosophy is to connect theory with practice. In addition, I put a strong emphasis on hands-on and project-based learning, where the students learn by doing. Furthermore, in my lectures, I always give my students examples of where and how the theoretical materials they study is applied in their everyday lives and the many electronic systems around them. This has shown to significantly increase student’s engagement in the lectures.
Experience
  • 2019 to present - Senior Lecturer, James Cook University (Townsville, Australia)
  • 2016 to 2018 - Lecturer, James Cook University (Townsville, Australia)
  • 2015 to 2016 - Postdoctoral Research Associate, The University of Sydney (Sydney, Australia)
  • 2014 to 2015 - Postdoctoral Research Fellow, The University of Adelaide (Adelaide, Australia)
  • 2014 to 2015 - Verification Engineer, ASTC Australian Semiconductor Technology Company (Adelaide, Australia)
  • 2012 to 2014 - PhD Student, Institute of Neuroinformatics, University of Zurich and ETH Zurich (Zurich, Switzerland)
  • 2010 to 2014 - PhD Student, The University of Adelaide (Adelaide, Australia)
Socio-Economic Objectives
Honours
Awards
  • 2020 - JCU Award for Excellence in the category of Innovation and Change
  • 2020 - Supervisor of the only Australian PhD project receiving a 2020 IBM PhD Fellowship
  • 2019 - 2019 Fresh Science Queensland Finalist
  • 2019 - Supervisor of the only Australian university team selected as a regional finalist in the 2019 InnovateFPGA Global Design Contest
  • 2018 - Rising Stars Research Award
  • 2017 - Supervisor of the best Engineering Thesis at JCU that received the Engineers Australia CN Barton Medal
  • 2017 - QLD Young Tall Poppy Science Award
  • 2015 - South Australia Science Excellence Awards
  • 2015 - Adelaide Postgraduate Alumni University Medal
  • 2015 - Australian Nanotechnology Network Young Science Ambassador Award
  • 2015 - Gertrude Rohan Memorial Medal and Prize
  • 2014 - Dean's Commendation for Doctoral Thesis Excellence
  • 2014 - University Doctoral Research Medal
  • 2013 - Simon Rockliff Scholarship
  • 2013 - Doreen McCarthy Research Bursary
  • 2013 - IEEE SA Section Student Travel Award
  • 2012 - The IEEE Computational Intelligence Society travel grant
  • 2012 - Brain Corporation Travel Fellowships for Spiking Neural Networks
  • 2012 - Research Abroad Scholarship, The University of Adelaide, Australia
  • 2011 - Japanese Neural Network Society Travel Award
  • 2010 - IPRS (International Postgraduate Research Scholarships) by Australian government
Fellowships
  • 2016 - Endeavour Fellowship
  • 2015 - Biomimetic and Neurotechnology Fellowship
  • 2012 - DR Stranks Fellowship
Memberships
  • 2017 - Australian Brain Alliance EMCR Brain Science Network Steering Committee member
Publications

These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU. Hover over Altmetrics badges to see social impact.

Journal Articles
Conference Papers
More

ResearchOnline@JCU stores 65+ research outputs authored by Dr Mostafa Rahimi Azghadi from 2007 onwards.

Current Funding

Current and recent Research Funding to JCU is shown by funding source and project.

Australian Research Council - Linkage - Industrial Transformation Research Hubs

ARC Research Hub for Supercharging Tropical Aquaculture Through Genetic Solutions

Indicative Funding
$5,014,503 over 4 years, in partnership with Australian Genome Research Facility ($150,000); Cygnet Bay Pearls PL ($500,000); Mainstream Aquaculture ($500,000); Sea Forest Pty Ltd ($500,000); Seafarms ($500,000) and THE COMPANY ONE PTY LTD ($500,000)
Summary
This project aims to integrate cutting edge genetic and genomic approaches into innovative aquaculture enterprises that farm in tropical northern Australia. It will deliver the requisite genetic knowledge to instigate world-leading and highly productive breeding programs for five species (barramundi, pearl oyster, prawn, grouper and marine seaweed), along with a novel understanding of the genetic basis of disease resistance and how the production environment interfaces with the bacterial microbiome, pathogens and water quality to cause disease. It will increase Australia's capacity to deliver advanced genetics outcomes to the aquaculture sector, while increasing productivity, international competitiveness, and lowered risk due to disease.
Investigators
Dean Jerry, Kyall Zenger, Benjamin Hayes, Rocky de Nys, David Bourne, Andreas Lopata, Ron White, Jan Strugnell, Chaoshu Zeng, Kelly Condon, Mostafa Rahimi Azghadi, Ira Cooke and Leo Nankervis (College of Science & Engineering, The University of Queensland, College of Public Health and Medical & Vet Sciences)

Food Agility CRC Limited - Scholarship

Developing Deep Learning Applications for Smart Aquaculture

Indicative Funding
$30,000 over 3 years
Summary
This project proposes to use deep learning technology to extract various data in commercial environments in a non-intrusive and cost-effective way from fish farms. Currently, most of the fish data is analysed manually. The aim is to use deep learning to extract useful features and traits of fish and to analyse the collected data automatically and efficiently. The project will be in direct partnership with our industry collaborators across Australia and Asia.
Investigators
Alzayat Saleh, Mostafa Rahimi Azghadi and Dean Jerry (College of Science & Engineering)
Keywords
Wetlands; Digital Technology; Water Quality; Aquatic Weeds

CSIRO - Top Up Scholarship

Applications for Magnetic Resonance Image Guidance in Radiation Therapy in Prostate Cancer.

Indicative Funding
$51,000 over 3 years
Summary
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.
Investigators
Mostafa Rahimi Azghadi, Jacob Mohan and Febrio Lunardo in collaboration with Ashley Gillman (College of Science & Engineering and Commonwealth Scientific & Industrial Research Organisation)
Keywords
MRI; PET; Prostate Cancer; Medical Imaging

Great Barrier Reef Foundation - Reef Trust Partnership

Reducing herbicide usage in the Burdekin and Proserpine reef catchment areas with precise robotic weed control in sugarcane

Indicative Funding
$400,000 over 2 years, in partnership with Autoweed Pty Ltd ($10,000)
Summary
The main objective of this project is to develop and build the world?s first robotic platform for selective weed control in sugarcane. Specifically, we aim to retrofit two 12-metre sugarcane booms for farmers in the Burdekin and Proserpine GBR catchment areas with state-of-the-art deep learning detection and spraying technology. The fundamental aim of this project is to significantly minimise the herbicide usage by selective spot spraying. We have set a target to reduce the knockdown herbicide usage on the chosen farms by 80% compared to the traditional blanket spraying that is performed during various stages of the crop cycle.
Investigators
Mostafa Rahimi Azghadi, Ron White, Bronson Philippa, Brendan Calvert, Alex Olsen, Emilie Fillols, Molly O'Dea, Ross Marchant and jake Woods (College of Science & Engineering, Autoweed Pty Ltd and Sugar Research Australia)
Keywords
precision agriculture; Deep Learning; automatic weed control; Robotic; weed management

International Business Machines - IBM Research

2020 IBM PhD Fellowship

Indicative Funding
$40,000 over 2 years
Summary
To contribute to current efforts towards highly efficient hardware implementations of augmented neuromorphic architectures for edge devices using FPGAs and memristive devices.
Investigators
Corey Lammie and Mostafa Rahimi Azghadi (College of Science & Engineering)
Keywords
Memristive Devices; Hardware; Neuromorphic architectures

Jaragun Pty Ltd - Contract Research

Jaragun Wetland Restoration

Indicative Funding
$25,000 over 1 year
Summary
A small wetland will be targeted for weed removal and replanting along Babinda Creek in this project. These restoration works will be monitored using a high-tech surveillance camera to live stream images from Jaragun?s website that track wetland restoration over time and its value to our birdlife. Overall, this project kick starts a struggling local community nestled in the heart of the wet tropics. This project is about creating green jobs and building a pathway for long term strategic investment into restoration and rehabilitation of the Russell River catchment.
Investigators
Nathan Waltham and Mostafa Rahimi Azghadi in collaboration with Antony Squires (TropWATER and College of Science & Engineering)
Keywords
Wetlands; Digital Technology; Water Quality; Aquatic weeds; Restoration

Australian Government Department of Agriculture, Water and the Environment - National Landcare Programme

Applying new image recognition techniques for automatic detection and spraying of Harrisia cactus

Indicative Funding
$50,000 over 2 years
Summary
harrisia cactus is a significant rangeland weed in Queensland and bnorthern NSW. It competes against native species, inhibits stock accdess and endangers wildlife. JCU have developed image recognition software to identify Harrisia cactus in pasture; which has been deployed on a prototype robotic platform for selective spot spraying. This proect will see the development of a new spraying unit incorporating JCU's developed technology with a vehicle provided by Warrakirri Cropping. The unit will then be used to treat 500 ha of infested pasture at Warrakirri's "Willaroo" property. Its performance will be compared to traditional methods and showcased to local landholders.
Investigators
Mostafa Rahimi Azghadi, Brendan Calvert, Ron White and James Whinney in collaboration with Bill Manning, Matt West and Alex Olsen (College of Science & Engineering, North West Local Land Services, Warrakirri Cropping and Autoweed Pty Ltd)
Keywords
weed control; Harrisia cactus (sp.); deep learning; Robotics

Department of Industry - Innovations Connections

Internet of Things and Big Data Analytics for Cairns Marine

Indicative Funding
$50,000 over 1 year (administered by Cairns Marine), in partnership with Cairns Marine Pty Ltd ($53,109)
Summary
This project will assist to analyse the large repository of data held by Cairns marine in relation to its full operations, i.e., from harvest to husbandry, inventory tracking and sales fulfilment. The physical systems currently in use at Cairns Marine are extensive and complex, involving a range of activities in Northern Australia, all activities on site (including R&D) in Cairns and full product (marine animals) stewardship to destination. A deep and informed understanding of data is required by the business to meet its growing global product commitments.
Investigators
Wei Xiang, Tao Huang, Lei Lei and Mostafa Rahimi Azghadi (College of Science & Engineering)
Keywords
Internet Of Things; big data analytics; marine data; Machine Learning
Supervision

Advisory Accreditation: I can be on your Advisory Panel as a Primary or Secondary Advisor.

These Higher Degree Research projects are either current or by students who have completed their studies within the past 5 years at JCU. Linked titles show theses available within ResearchOnline@JCU.

Current
  • Internal Organ Motion Prediction in Magnetic Resonance Image Guided Radiation Therapy for Prostate Cancer using Deep Learning (PhD , Secondary Advisor)
  • Parallel and Scalable Neural Network Algorithms (PhD , Secondary Advisor)
  • Prognostics and health management in asset life cycle decision making – A data driven approach. (PhD , Secondary Advisor)
  • ML-based Ransomware Protection (PhD , Secondary Advisor)
  • Implementing graphene-based devices into neuromorphic computing architectures. (PhD , Primary Advisor)
  • Developing High-Performance Deep Learning Tools for Marine Habitat Monitoring (PhD , Primary Advisor)
  • Hardware Implementation of Limited-Precision Machine-Learning Algorithms for Edge Computing (PhD , Primary Advisor)
  • Internet of underwater things and big marine data analytics (PhD , Primary Advisor)
  • Design and Development of a Smart Automated Machine Learning Tool for User Assistance. (PhD , Primary Advisor)
Completed
Collaboration

The map shows research collaborations by institution from the past 7 years.
Note: Map points are indicative of the countries or states that institutions are associated with.

  • 5+ collaborations
  • 4 collaborations
  • 3 collaborations
  • 2 collaborations
  • 1 collaboration
  • Indicates the Tropics (Torrid Zone)

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