S. Mostafa Rahimi Azghadi graduated with a Bachelor’s Degree in Electrical and Computer Engineering 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 of Zurich, and Swiss Federal Institute of Technology (ETH) Zurich, Switzerland.  

From 2014 to 2015, Dr Rahimi was a postdoctoral fellow in a joint industry-university project between The University of Adelaide and the 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 systems design, hardware acceleration of machine learning algorithms, memristive computing, deep learning, and nanoelectronics.

A/Prof. Rahimi is a recognised national and international scientist and leader. Since 2020, he has been ranked in the top 2% of worldwide highly-cited EEE researchers (excluding self-citations) according to the Stanford List (https://bit.ly/3IhfB8u). He is currently the chair of the IEEE Northern Australia Section and the program coordinator for the JCU Electrical and Electronic Engineering degree. Together with colleagues, he has raised nearly $6M in research funding.

Prof Rahimi is an Associate Editor of three highly-regarded journals including Frontiers in Neuroscience (Neuromorphic Engineering Section), IEEE ACCESS, and Computers. He is also a member of the Neural Systems and Applications Technical Committee of the IEEE Circuits and Systems Society. For several years he has been serving as a Review Committee Member and session chair of the Flagship Conference, IEEE International Symposium of Circuits and Systems (ISCAS). He is also a co-chair of the CAS for AI and IoT track of the 2022 IEEE COINS. Dr Rahimi is a Senior Member of the IEEE. 

Prof Rahimi is the AI leader of the $5M ARC-funded JCU Industrial Transformation Research Hub for Tropical Aquaculture. He is also the Engineering Stream Leader of the JCU Agriculture Technology and Adoption Centre.  


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 for 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. 


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. 

  • CC2511: Embedded Systems Design (Level 2; TSV)
  • EG1002: Computing and Sensors (Level 1; TSV)
  • Senior Member of IEEE
  • IEEE Northern Australia Section Chair
  • Founding chair of IEEE NA Young Professional Group.
  • Associate Editor - Frontiers in Neuromorphic Engineering
  • Associate Editor - IEEE Access
  • Associate Editor - Computers
  • Neuromorphic Engineering, Nanoelectronics, Embedded Systems, Machine and Deep Learning, Hardware Acceleration of Machine Learning Algorithms
  • 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.
  • 2022 to present - Associate Professor, James Cook University (Townsville, Australia)
  • 2019 to 2021 - 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)
  • 2022 - Invited Talk, Reef Trust Partnership Innovations in Water Quality Webinar, May 2022
  • 2022 - Invited Talk, School of Electrical and Electronic Engineering, Adelaide University, Sep 2022
  • 2022 - Invited Talk, Plant Biosecurity Research Symposium 2022, Adelaide, Australia
  • 2022 - IEEE Northern Australia Section Chair. Leading the IEEE professional activities in the large region from the north of Rockhampton to PNG.
  • 2022 - Invited Talk, Innovations in Cane Growing and Farm Management Webinar, Aug 2022
  • 2022 - nvited Talk, Brain-inspired Devices and Architecture, the ENGE2022 conference, Jeju Island, Korea, Nov 2022
  • 2022 - Primary Supervisor of the best Engineering Thesis at JCU that received the Engineers Australia CN Barton Medal
  • 2021 - Invited Lectures: Project Catalyst forum, Townsville Hospital Research Seminars, IEEE Circuits and System Society Seasonal School -- Tomorrow of Integrated Circuits, European Neuromorphic Project Educational lectures, Waterways health forum
  • 2021 - College of Science and Engineering Nominee for Primary Advisor of the year Award
  • 2020 - Ranked among the top 2% of worldwide highly-cited EEE researchers in 2020 (excluding self-citations) according to the Stanford List (shorturl.at/hwA39)
  • 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 - Invited Talk, Hokkaido University, Japan, May 2019
  • 2019 - 2019 Fresh Science Queensland Finalist
  • 2019 - Invited Talk, Tokyo University, Japan, June 2019
  • 2019 - Supervisor of the only Australian university team selected as a regional finalist in the 2019 InnovateFPGA Global Design Contest
  • 2019 - Invited Talk, Beijing Information Science and Technology University, China, Dec 2019
  • 2018 - Rising Stars Research Award
  • 2018 - Invited Talk, Centre of Nanoscience and Nanotechnology, Paris-Sud University, France, June 2018
  • 2018 - Invited Webinar, Emerging Device and Applications Group of University of Texas at Austin, Sep 2018
  • 2017 - QLD Young Tall Poppy Science Award
  • 2017 - Supervisor of the best Engineering Thesis at JCU that received the Engineers Australia CN Barton Medal
  • 2015 - South Australia Science Excellence Awards
  • 2015 - Gertrude Rohan Memorial Medal and Prize
  • 2015 - Australian Nanotechnology Network Young Science Ambassador Award
  • 2015 - Adelaide Postgraduate Alumni University Medal
  • 2014 - University Doctoral Research Medal
  • 2014 - Dean's Commendation for Doctoral Thesis Excellence
  • 2013 - Simon Rockliff Scholarship
  • 2013 - IEEE SA Section Student Travel Award
  • 2013 - Doreen McCarthy Research Bursary
  • 2012 - The IEEE Computational Intelligence Society travel grant
  • 2012 - Research Abroad Scholarship, The University of Adelaide, Australia
  • 2012 - Brain Corporation Travel Fellowships for Spiking Neural Networks
  • 2011 - Japanese Neural Network Society Travel Award
  • 2010 - IPRS (International Postgraduate Research Scholarships) by Australian government
  • 2016 - Endeavour Fellowship
  • 2015 - Biomimetic and Neurotechnology Fellowship
  • 2012 - DR Stranks Fellowship
  • 2017 - Australian Brain Alliance EMCR Brain Science Network Steering Committee member

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

ResearchOnline@JCU stores 83+ research outputs authored by A/PROF Mostafa Rahimi Azghadi from 2007 onwards.

Current Funding

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

Bingo Industries Limited - Contract Research

Deep Learning for Waste Management

Indicative Funding
$49,000 over 3 years
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.
Mostafa Rahimi Azghadi and Neil Fraser (College of Science & Engineering)
Computer Vision; Deep Learning; Waste Management

Australian Research Council - Linkage - Industrial Transformation Research Hubs

ARC Research Hub for Supercharging Tropical Aquaculture Through Genetic Solutions

Indicative Funding
$4,996,503 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) and THE COMPANY ONE PTY LTD ($500,000)
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.
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, Leo Nankervis and Carla Ewels (College of Science & Engineering, The University of Queensland, College of Public Health and Medical & Vet Sciences)
Selective Breeding; Genomics; Aquaculture

Food Agility CRC Limited - Scholarship

Developing Deep Learning Applications for Smart Aquaculture

Indicative Funding
$30,000 over 3 years
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.
Alzayat Saleh, Mostafa Rahimi Azghadi and Dean Jerry (College of Science & Engineering)
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
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.
Mostafa Rahimi Azghadi, Jacob Mohan and Febrio Lunardo in collaboration with Ashley Gillman (College of Science & Engineering and Commonwealth Scientific & Industrial Research Organisation)
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
$900,000 over 4 years, in partnership with Autoweed Pty Ltd ($10,000)
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.
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)
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
To contribute to current efforts towards highly efficient hardware implementations of augmented neuromorphic architectures for edge devices using FPGAs and memristive devices.
Corey Lammie and Mostafa Rahimi Azghadi (College of Science & Engineering)
Memristive Devices; Hardware; Neuromorphic architectures

Jaragun Pty Ltd - Contract Research

Jaragun Wetland Restoration

Indicative Funding
$25,000 over 1 year
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.
Nathan Waltham and Mostafa Rahimi Azghadi in collaboration with Antony Squires (TropWater and College of Science & Engineering)
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
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.
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)
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)
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.
Wei Xiang, Tao Huang, Lei Lei and Mostafa Rahimi Azghadi (College of Science & Engineering)
Internet Of Things; big data analytics; marine data; Machine Learning

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.

  • Internal Organ Motion Prediction in MRgRT (PhD , Secondary Advisor)
  • Prognostics and health management in asset life cycle decision making ? A data driven approach. (PhD , Secondary Advisor)
  • Implementing graphene-based devices into neuromorphic computing architectures. (PhD , Primary Advisor)
  • Design and Development of a Smart Automated Machine Learning Tool for User Assistance. (PhD , Primary Advisor)
  • Evolution and challenges of computer vision and deep learning technologies for recycling mixed construction and demolition waste (PhD , Primary Advisor/AM/Adv)
  • Facial Expression Detection and Deduction of the Relevant Emotions (PhD , Secondary Advisor)
  • Development of machine-learning genomic selection breeding methods for complex traits in Australian fin-fish aquaculture species (Epinephelus lanceolatus & Lates calcarifer) (PhD , Secondary Advisor)
  • Conversion of Waste to Energy Materials (PhD , Secondary Advisor)
  • Cooperative Sensing and Fusion for Enhanced Perception in Intelligent Vehicle Systems (PhD , Secondary Advisor)
  • Secure machine learning for voice assistant applications. (PhD , Secondary Advisor)

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)

Connect with me

  • 14.107, Engineering & Physical Sciences 2 (Townsville campus)
Advisory Accreditation
Primary Advanced Advisor
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