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.  

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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 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. 

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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 Chair
• Founding chair of IEEE NA Young Professional Group.
• Associate Editor - Frontiers in Neuromorphic Engineering
• Associate Editor - IEEE Access
• Associate Editor - Computers

Research

• Neuromorphic Engineering, Nanoelectronics, Embedded Systems, Machine and Deep Learning, 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

• 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)

Research Disciplines

• Electronics, sensors and digital hardware (4009)
• Machine learning (4611)
• Electrical engineering (4008)

Socio-Economic Objectives

• Expanding knowledge (2801)
• Information systems, technologies and services (2204)

Awards

• 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

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

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

• Jahanbakht M, Xiang W, Waltham N and Rahimiazghadi M (2022) Distributed Deep Learning in the Cloud and Energy-efficient Real-time Image Processing at the Edge for Fish Segmentation in Underwater Videos Segmentation in Underwater Videos. IEEE Access, 10. pp. 117796-117807
• Jahanbakht M, Xiang W and Azghadi M (2022) Sediment Prediction in the Great Barrier Reef using Vision Transformer with finite element analysis. Neural Networks, 152. pp. 311-321
• Jahanbakht M, Xiang W, Robson B and Rahimi Azghadi M (2022) Nitrogen prediction in the Great Barrier Reef using finite element analysis with deep neural networks. Environmental Modelling & Software, 150.
• Jahanbakht M, Xiang W and Rahimi Azghadi M (2022) Sea surface temperature forecasting with ensemble of stacked deep neural networks. IEEE Geoscience and Remote Sensing Letters, 19.
• Lammie C, Xiang W, Linares-Barranco B and Rahimi Azghadi M (2022) MemTorch: an open-source simulation framework for memristive deep learning systems. Neurocomputing, 485. pp. 124-133
• Lammie C, Xiang W and Rahimiazghadi M (2022) Modeling and simulating in-memory memristive deep learning systems: an overview of current efforts. Array, 13.
• Li C, Lammie C, Dong X, Amirsoleimani A, Azghadi M and Genov R (2022) Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks. IEEE Transactions on Biomedical Circuits and Systems, 16 (4). pp. 609-625
• Saleh A, Sheaves M and Rahimi Azghadi M (in press) Computer vision and deep learning for fish classification in underwater habitats: A survey. Fish and Fisheries,
• Yang S, Gao T, Wang J, Deng B, Rahimiazghadi M, Lei T and Linares-Barranco B (2022) SAM: a unified self-adaptive multicompartmental spiking neuron model for learning with working memory. Frontiers in Neuroscience, 16.
• Yang S, Wang J, Deng B, Rahimi Azghadi M and Linares-Barranco B (in press) Neuromorphic context-dependent learning framework with fault-tolerant spike routing. IEEE Transactions on Neural Networks and Learning Systems,

Conference Papers

• Dong X, Amirsoleimani A, Azghadi M and Genov R (2022) In-Memory Memristive Transformation Stage of Gaussian Random Number Generator. Proceedings of the IEEE International Conference on Omni-Layer Intelligent Systems. In: COINS 2022: IEEE International Conference on Omni-layer Intelligent Systems, 1-3 August 2022, Barcelona, Spain
• Krishnamenon M, Tuladhar R, Rahimi Azghadi M, Loughran J and Pandey G (2022) Digital twins and their significance in engineering asset management. Proceedings of the International Conference on Maintenance and Intelligent Asset Management. In: ICMIAM 2021: International Conference on Maintenance and Intelligent Asset Management, 12-15 December 2021, Ballarat, VIC, Australia

More

ResearchOnline@JCU stores 79+ research outputs authored by A/PROF Mostafa Rahimi Azghadi from 2007 onwards.

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

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 MRgRT (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)
• Deep Learning for Improved Construction Waste Management (PhD , Primary Advisor/AM/Adv)
• Design and Development of a Smart Automated Machine Learning Tool for User Assistance. (PhD , Primary Advisor)
• Implementing graphene-based devices into neuromorphic computing architectures. (PhD , Primary Advisor)
• Investigating wearable sensor biomarkers for stress measurement and analysis using machine learning (Masters , Primary Advisor/AM/Adv)
• Developing High-Performance Deep Learning Tools for Marine Habitat Monitoring (PhD , Primary Advisor)

Completed

• Simulation and Implementation of Novel Deep Learning Hardware Architectures for Resource Constrained Devices (2023, PhD , Primary Advisor)
• Improving the accuracy of weed species detection for robotic weed control in complex real-time environments (2020, PhD , Secondary Advisor)
• Deep learning for internet of underwater things and ocean data analytics (2022, PhD , Primary Advisor)
• Fabrication and characterization of antibacterial surfaces derived from geranium essential oil using PECVD (2019, 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.