Mostafa Rahimi Azghadi
- mostafa.rahimiazghadi@jcu.edu.au
https://orcid.org/0000-0001-7975-3985- Professor, Promotional Chair
- Engineering
Projects
17
Publications
106
Awards
40
Contact Details
AI Leader - ARC Industrial Transformation Research Hub in Aquaculure
Director - Centre for AI and Data Science Innovation (CADSI)
Head, Electrical and Electronic Engineering Discipline
Deputy Director - ARC Training Centre in Plant Biosecurity
Biography
S. Mostafa Rahimi Azghadi is Professor of Electronics and Computer Engineering at James Cook University and founding Director of the JCU Centre for AI and Data Science Innovation (CADSI). His work brings together neuromorphic engineering, machine learning and computer vision to solve real-world problems in agriculture, aquaculture, health and biosecurity.
After completing his Bachelor’s in Electrical and Computer Engineering and a Master of Engineering in Computer Architecture with first-class honours, he received an IPRS and APA scholarship to pursue his PhD at the University of Adelaide, where he was awarded both the Doctoral Research Medal and the University Alumni Medal.
Since joining JCU in 2016, Professor Rahimi Azghadi has led major AI initiatives with industry, government and community partners, including AI-enabled weed and disease management in sugarcane, digital phenotyping in aquaculture, and stress and mental-health monitoring using low-cost sensors and language data. He has secured close to $20M in research funding and is ranked among the global top 2 per cent of highly cited researchers in electrical, electronic and AI-related fields.
He heads JCU’s Electrical and Electronic Engineering discipline and holds leadership roles as Deputy Director in the ARC Training Centre in Plant Biosecurity and the Agriculture Technology and Adoption Centre, and AI Leader in the ARC Research Hub for Supercharging Tropical Aquaculture. He also serves on editorial boards and IEEE technical committees in neuromorphic and AI systems.
Research
Research Interests
Artificial Intelligence, Deep Learning, Machine Learning, Neuromorphic Engineering, Nanoelectronics, Embedded Systems, Hardware Acceleration of Machine Learning Algorithms
Projects
ARC Industrial Transformation Training Centre in Plant Biosecurity
01 Aug 2024 - 30 Aug 2029
Effectiveness and reliability of a synthetic data generation
01 Mar 2024 - 01 Mar 2025
AI-Powered Precision Farming: Mapping, Detection, Planning, and Spot Spraying (Old ID 31107)
01 Sep 2023 - 29 Nov 2024
AutoFish: Automatic Fish Phenotyping Tool for Sustainable Aquaculture and Smart Fisheries (Old ID 28947)
01 Mar 2023 - 30 Jun 2023
Deep Learning for Waste Management (Old ID 27687)
12 Aug 2022 - 30 Jun 2027
ARC Research Hub for Supercharging Tropical Aquaculture Through Genetic Solutions (Old ID 27374)
09 Sep 2021 - 31 Dec 2025
Developing Deep Learning Applications for Smart Aquaculture (Old ID 27329)
01 Jul 2021 - 30 Jun 2024
Jaragun Wetland Restoration (Old ID 27070)
30 Nov 2020 - 30 Nov 2021
2020 IBM PhD Fellowship (Old ID 26834)
01 May 2020 - 01 May 2022
Internet of Things and Big Data Analytics for Cairns Marine (Old ID 26460)
29 Apr 2019 - 28 Apr 2020
Developing an innovative low-power and high-speed architecture for smart machines (Old ID 25065)
01 Jul 2018 - 31 Dec 2018
Teaching
Teaching Interests
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 are applied in their everyday lives and the many electronic systems around them. This has been shown to significantly increase student’s engagement in the lectures.
Research Advisor Accreditation
Advisor Type
Mentor
Taught Modules
[EG1002] Computing and SensorsCoordinator, Lecturer
2023
[CC2511] Embedded Systems DesignCoordinator, Lecturer
2024
[EG1002] Computing and SensorsCoordinator, Lecturer
2024
Current JCU Research Students
Advancing Visual Language Models for Medical Visual Question Answering
Doctor of Philosophy (Information Technology)
Organic Thin Film Transistors for Neuromorphic Applications
Doctor of Philosophy (Engineering and Related Technologies)
Radar enhancement of autonomous driving system
Doctor of Philosophy (Engineering and Related Technologies)
Low-temperature Synthesis of Graphene-based Transparent Conductive Electrodes for Organic Solar Cells
Doctor of Philosophy (Engineering and Related Technologies)
Deciphering cryptocaryon disease resistance in barramundi (Lates calcarifer): Genetic architecture, interactions, and advanced genomic selection modelling
Doctor of Philosophy (Agriculture, Environmental and Related Studies)
Facial Expression Detection and Deduction of the Relevant Emotions
Doctor of Philosophy (Engineering and Related Technologies)
Evolution and challenges of computer vision and deep learning technologies for recycling mixed construction and demolition waste;;
Doctor of Philosophy (Engineering and Related Technologies)
Automating Pearl Quality Assessment
Doctor of Philosophy (Engineering and Related Technologies)
Internal Organ Motion Prediction in Magnetic Resonance Guided Radiation Therapy
Doctor of Philosophy (Engineering and Related Technologies)
Cooperative Sensing and Fusion for Enhanced Perception in Intelligent Vehicle Systems
Doctor of Philosophy (Engineering and Related Technologies)
Mental health impact of climate change: Forecasting future hospital presentations.
Doctor of Philosophy (Medical, Molecular and Veterinary Sciences)
Stress monitoring via a novel decision support system based on wearable technologies
Doctor of Philosophy (Medical, Molecular and Veterinary Sciences)
Microwave Assisted Pyrolysis for synthesis of graphene from waste materials and sensor applications
Doctor of Philosophy (Engineering and Related Technologies)
Activities
Education
Awards
Employment
Senior Lecturer, James Cook University
2019 - 2021
Lecturer, James Cook University
2016 - 2018
Chair, IEEE Northern Australia Section
2022 - 2024
PhD Student, The University of Adelaide
2010 - 2014
Associations
Output
Rahimi Azghadi, S. Mostafa (2014) Neuromorphic VLSI designs for spike timing and rate-based synaptic plasticity with application in pattern classification. [Thesis]
Saleh, Alzayat; Olsen, Alex; Wood, Jake; Philippa, Bronson; Rahimi Azghadi, Mostafa (2024) 'WeedCLR: Weed contrastive learning through visual representations with class-optimized loss in long-tailed datasets'. Computers and Electronics in Agriculture, 227 . [DOI]
Flies, Emily J.; Pryor, Anita; Henderson-Wilson, Claire; Turner, Megan; Roydhouse, Jessica; Patrick, Rebecca; O’Shea, Melissa; Norris, Kimberly; Martin, Angela; Marsh, Pauline; Bartlett, Larissa; Rahimi Azghadi, Mostafa; Neil, Amanda (2024) 'Bridging the evidence gap: A review and research protocol for outdoor mental health therapies for young Australians'. Journal of Outdoor and Environmental Education, 27 :37-56. [DOI]
How to track and segment fish without human annotations: a self-supervised deep learning approach
2024
Saleh, Alzayat; Sheaves, Marcus; Jerry, Dean; Rahimi Azghadi, Mostafa (2024) 'How to track and segment fish without human annotations: a self-supervised deep learning approach'. Pattern Analysis and Applications, 27 . [DOI]
Prawn Morphometrics and Weight Estimation from Images using Deep Learning for Landmark Localization
2024
Saleh, Alzayat; Hasan, Md Mehedi; Raadsma, Herman W.; Khatkar, Mehar S.; Jerry, Dean; Rahimi Azghadi, Mostafa (2024) 'Prawn Morphometrics and Weight Estimation from Images using Deep Learning for Landmark Localization'. Aquacultural Engineering, 106 . [DOI]
Yang, Shuangming; Wang, Haowen; Pang, Yanwei; Rahimi Azghadi, Mostafa; Linares-Barranco, Bernabe (2024) 'NADOL: Neuromorphic Architecture for Spike-driven Online Learning By Dendrites'. IEEE Transactions on Biomedical Circuits and Systems, 18 (1):186-199. [DOI]
Dong, Xuening; Amirsoleimani, Amirali; Rahimi Azghadi, Mostafa; Genov, Roman (2024) 'WALLAX: A memristor-based Gaussian random number generator'. Neurocomputing, 566 . [DOI]
Saleh, Alzayat; Sheaves, Marcus; Jerry, Dean; Rahimi Azghadi, Mostafa (2024) 'Applications of deep learning in fish habitat monitoring: A tutorial and survey'. Expert Systems with Applications, 238 . [DOI]
Walters, Ben; Lammie, Corey; Yang, Shuangming; Jacob, Mohan V.; Rahimi Azghadi, Mostafa (2024) 'Unsupervised character recognition with graphene memristive synapses'. Neural Computing and Applications, 36 :1569-1584. [DOI]
Li, Jingjin; Chen, Chao; Rahimi Azghadi, Mostafa; Ghodosi, Hossein; Pan, Lei; Zhang, Jun (2023) 'Security and privacy problems in voice assistant applications: A survey'. Computers & Security, 134 . [DOI]
Li, Chenqi; Lammie, Corey; Amirsoleimani, Amirali; Rahimi Azghadi, Mostafa; Genov, Roman (2023) 'Simulation of memristive crossbar arrays for seizure detection and prediction using parallel Convolutional Neural Networks [Formula presented]'. Software Impacts, 15 (March). [DOI]
Vos, Gideon; Trinh, Kelly; Sarnyai, Zoltan; Rahimi Azghadi, Mostafa (2023) 'Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review'. International Journal of Medical Informatics, 173 . [DOI]
Saleh, Alzayat; Jones, David; Jerry, Dean; Azghadi, Mostafa Rahimi (2023) 'MFLD-net: a lightweight deep learning network for fish morphometry using landmark detection'. Aquatic Ecology, 57 :913-931. [DOI]
Walters, Ben; Jacob, Mohan V.; Amirsoleimani, Amirali; Rahimi Azghadi, Mostafa (2023) 'A Review of Graphene-Based Memristive Neuromorphic Devices and Circuits'. Advanced Intelligent Systems, 5 (10). [DOI]
Dong, Xuening; Primeau, Louis; Genov, Roman; Rahimi Azghadi, Mostafa; Amirsoleimani, Amirali (2023) 'Efficient Memristive Stochastic Differential Equation Solver'. Advanced Intelligent Systems, 5 (8). [DOI]
You, Hao; Amirsoleimani, Amirali; Xu, Jianxiong; Rahimi Azghadi, Mostafa; Genov, Roman (2023) 'A subranging nonuniform sampling memristive neural network-based analog-to-digital converter'. Memories - Materials, Devices, Circuits and Systems, 4 . [DOI]
Cai, Zhengyu; Kalatehbali, Hamid Rahimian; Walters, Ben; Rahimi Azghadi, Mostafa; Amirsoleimani, Amirali; Genov, Roman (2023) 'Spike Timing Dependent Gradient for Direct Training of Fast and Efficient Binarized Spiking Neural Networks'. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 13 (4):1083-1093. [DOI]
Jooq, Mohammad Khaleqi Qaleh; Rahimi Azghadi, Mostafa; Behbahani, Fereshteh; Al-Shidaifat, Alaaddin; Song, Hanjung (2023) 'High-Performance and Energy-Efficient Leaky Integrate-and-Fire Neuron and Spike Timing-Dependent Plasticity Circuits in 7nm FinFET Technology'. IEEE Access, 11 :133451-133459. [DOI]
Jahanbakht, Mohammad; Rahimi Azghadi, Mostafa; Waltham, Nathan J. (2023) 'Semi-supervised and weakly-supervised deep neural networks and dataset for fish detection in turbid underwater videos'. Ecological Informatics, 78 . [DOI]
Vos, Gideon; Trinh, Kelly; Sarnyai, Zoltan; Rahimi Azghadi, Mostafa (2023) 'Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices'. Journal of Biomedical Informatics, 148 . [DOI]
Zhang, Tim; Rahimi Azghadi, Mostafa; Lammie, Corey; Amirsoleimani, Amirali; Genov, Roman (2023) 'Spike sorting algorithms and their efficient hardware implementation: A comprehensive survey'. Journal of Neural Engineering, 20 (2). [DOI]
Yang, Shuangming; Wang, Jiang; Deng, Bin; Rahimi Azghadi, Mostafa; Linares-Barranco, Bernabe (2022) 'Neuromorphic context-dependent learning framework with fault-tolerant spike routing'. IEEE Transactions on Neural Networks and Learning Systems, 33 (12):7126-7140. [DOI]
Jahanbakht, Mohammad; Xiang, Wei; Waltham, Nathan J.; Rahimiazghadi, Mostafa (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 :117796-117807. [DOI]
Li, Chenqi; Lammie, Corey; Dong, Xuening; Amirsoleimani, Amirali; Azghadi, Mostafa Rahimi; Genov, Roman (2022) 'Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks'. IEEE Transactions on Biomedical Circuits and Systems, 16 (4):609-625. [DOI]
Sediment Prediction in the Great Barrier Reef using Vision Transformer with finite element analysis
2022
Jahanbakht, Mohammad; Xiang, Wei; Azghadi, Mostafa Rahimi (2022) 'Sediment Prediction in the Great Barrier Reef using Vision Transformer with finite element analysis'. Neural Networks, 152 :311-321. [DOI]
Jahanbakht, Mohammad; Xiang, Wei; Robson, Barbara; Rahimi Azghadi, Mostafa (2022) 'Nitrogen prediction in the Great Barrier Reef using finite element analysis with deep neural networks'. Environmental Modelling & Software, 150 . [DOI]
Modeling and simulating in-memory memristive deep learning systems: an overview of current efforts
2022
Lammie, Corey; Xiang, Wei; Rahimiazghadi, Mostafa (2022) 'Modeling and simulating in-memory memristive deep learning systems: an overview of current efforts'. Array, 13 . [DOI]
Yang, Shuangming; Gao, Tian; Wang, Jiang; Deng, Bin; Rahimiazghadi, Mostafa; Lei, Tao; Linares-Barranco, Bernabe (2022) 'SAM: a unified self-adaptive multicompartmental spiking neuron model for learning with working memory'. Frontiers in Neuroscience, 16 . [DOI]
Saleh, Alzayat; Sheaves, Marcus; Rahimi Azghadi, Mostafa (2022) 'Computer vision and deep learning for fish classification in underwater habitats: A survey'. Fish and Fisheries, 23 (4):977-999. [DOI]
Lammie, Corey; Xiang, Wei; Linares-Barranco, Bernabé; Rahimi Azghadi, Mostafa (2022) 'MemTorch: an open-source simulation framework for memristive deep learning systems'. Neurocomputing, 485 :124-133. [DOI]
CerebelluMorphic: large-scale neuromorphic model and architecture for supervised motor learning
2022
Yang, Shuangming; Wang, Jiang; Zhang, Nan; Deng, Bin; Pang, Yanwei; Rahimi Azghadi, Mostafa (2022) 'CerebelluMorphic: large-scale neuromorphic model and architecture for supervised motor learning'. IEEE Transactions on Neural Networks and Learning Systems, 33 (9):4398-4412. [DOI]
Jahanbakht, Mohammad; Xiang, Wei; Rahimi Azghadi, Mostafa (2022) 'Sea surface temperature forecasting with ensemble of stacked deep neural networks'. IEEE Geoscience and Remote Sensing Letters, 19 . [DOI]
Laradji, Issam H.; Saleh, Alzayat; Rodriguez, Pau; Nowrouzezahrai, Derek; Rahimi Azghadi, Mostafa; Vazquez, David (2021) 'Weakly supervised underwater fish segmentation using affinity LCFCN'. Scientific Reports, 11 :17379-17379. [DOI]
Calvert, Brendan; Olsen, Alex; Whinney, James; Rahimi Azghadi, Mostafa (2021) 'Robotic spot spraying of Harrisia cactus (Harrisia martinii) in grazing pastures of the Australian rangelands'. Plants, 10 (10). [DOI]
Mustafa, Akram; Rahimi Azghadi, Mostafa (2021) 'Automated machine learning for healthcare and clinical notes analysis'. Computers, 10 (2). [DOI]
Lammie, Corey; Eshraghian, Jason K.; Lu, Wei D.; Rahimi Azghadi, Mostafa (2021) 'Memristive stochastic computing for deep learning parameter optimization'. IEEE Transactions on Circuits and Systems II: Express Briefs, 68 (5):1650-1654. [DOI]
A deep learning localization method for measuring abdominal muscle dimensions in ultrasound images
2021
Saleh, Alzayat; Laradji, Issam H.; Lammie, Corey; Vazquez, David; Flavell, Carol Ann; Rahimi Azghadi, Mostafa (2021) 'A deep learning localization method for measuring abdominal muscle dimensions in ultrasound images'. IEEE Journal of Biomedical and Health Informatics, 25 :3865-3873. [DOI]
Lammie, Corey; Rahimiazghadi, Mostafa; Ielmini, Daniele (2021) 'Empirical metal-oxide RRAM device endurance and retention model for deep learning simulations'. Semiconductor Science and Technology, 36 (6). [DOI]
Jahanbakht, Mohammad; Xiang, Wei; Hanzo, Lajos; Rahimi Azghadi, Mostafa (2021) 'Internet of underwater things and big marine data analytics — a comprehensive survey'. IEEE Communications Surveys & Tutorials, 23 (2):904-956. [DOI]
Hardware implementation of deep network accelerators towards healthcare and biomedical applications
2020
Rahimi Azghadi, Mostafa; Lammie, Corey; Eshraghian, Jason K.; Payvand, Melika; Donati, Elisa; Linares-Barranco, Bernabe; Indiveri, Giacomo (2020) 'Hardware implementation of deep network accelerators towards healthcare and biomedical applications'. IEEE Transactions on Biomedical Circuits and Systems, 14 (6):1138-1159. [DOI]
Asgari, Hajar; Mazloom-Nezhad Maybodi, Babak; Payvand, Melika; Rahimi Azghadi, Mostafa (2020) 'Low-energy and fast spiking neural network for context-dependent learning on FPGA'. IEEE Transactions on Circuits and Systems Part 2: express briefs, 67 (11):2697-2701. [DOI]
Almasi, Milad; Karimi, Gholamreza; Ranjbar, Mahnaz; Rahimi Azghadi, Mostafa (2020) 'New analogue stop-learning control module using astrocyte for neuromorphic learning'. IET Circuits, Devices & Systems, 14 (1):100-106. [DOI]
Journal Publication
ResearchOnline@JCU
Rahimi Azghadi, Mostafa; Chen, Ying-Chen; Eshraghian, Jason K.; Chen, Jia; Lin, Chih-Yang; Amirsoleimani, Amirali; Mehonic, Adnan; Kenyon, Anthony J.; Fowler, Burt; Lee, Jack C.; Chang, Yao-Feng (2020) 'Complementary metal‐oxide semiconductor and memristive hardware for neuromorphic computing'. Advanced Intelligent Systems, 2 (5). [DOI]
Lammie, Corey; Olsen, Alex; Carrick, Tony; Rahimi Azghadi, Mostafa (2019) 'Low-power and high-speed deep FPGA inference engines for weed classification at the edge'. IEEE Access, 7 :51171-51184. [DOI]
Olsen, Alex; Konovalov, Dmitry A.; Philippa, Bronson; Ridd, Peter; Wood, Jake; Johns, Jamie; Banks, Wesley; Girgenti, Benjamin; Kenny, Owen; Whinney, James; Calvert, Brendan; Rahimi Azghadi, Mostafa; White, Ronald D. (2019) 'DeepWeeds: a multiclass weed species image dataset for deep learning'. Scientific Reports, 9 . [DOI]
Hashemi, Sara; Rahimi Azghadi, Mostafa; Navi, Keivan (2019) 'Design and analysis of efficient QCA reversible adders'. The Journal of Supercomputing, 75 :2106-2125. [DOI]
Lammie, Corey; Hamilton, Tara Julia; van Schaik, André; Rahimi Azghadi, Mostafa (2019) 'Efficient FPGA implementations of pair and triplet-based STDP for neuromorphic architectures'. IEEE Transactions on Circuits and Systems I: Regular Papers, 66 (4):1558-1570. [DOI]
Heidarpur, Moslem; Ahmadi, Arash; Ahmadi, Majid; Rahimi Azghadi, Mostafa (2019) 'CORDIC-SNN: on-FPGA STDP learning with Izhikevich neurons'. IEEE Transactions on Circuits and Systems I: Regular Papers, 66 (7):2651-2661. [DOI]
Rahimiazghadi, Mostafa; Linares-Barranco, Bernabe; Abbott, Derek; Leong, Philip (2017) 'A hybrid CMOS-memristor neuromorphic synapse'. IEEE Transactions on Biomedical Circuits and Systems, 11 (2):434-444. [DOI]
Nguyen, Cong Dao; El Kass, Abdallah; Rahimi Azghadi, Mostafa; Jin, Craig T.; Scott, Jonathan; Leong, Philip H.W. (2017) 'An enhanced MOSFET threshold voltage model for the 6–300 K temperature range'. Microelectronics Reliability, 69 :36-39. [DOI]
Aghnout, Soraya; Karimi, Gholamreza; Rahimiazghadi, Mostafa (2017) 'Modeling triplet spike-timing-dependent plasticity using
memristive devices'. Journal of Computational Electronics, 16 (2):401-410. [DOI]
A novel FPGA-programmable switch matrix interconnection element in quantum-dot cellular automata
2015
Hashemi, Sara; Rahimi Azghadi, Mostafa; Zakerolhosseini, Ali; Navi, Keivan (2015) 'A novel FPGA-programmable switch matrix interconnection element in quantum-dot cellular automata'. International Journal of Electronics, 102 (4):703-724. [DOI]
Journal Publication
ResearchOnline@JCU
Programmable spike-timing-dependent plasticity learning circuits in neuromorphic VLSI architectures
2015
Rahimiazghadi, Mostafa; Moradi, Saber; Fasnacht, Daniel B.; Ozdas, Mehmet Sirin; Indiveri, Giacomo (2015) 'Programmable spike-timing-dependent plasticity learning circuits in neuromorphic VLSI architectures'. ACM Journal on Emerging Technologies in Computing Systems, 12 (2):1-17. [DOI]
Journal Publication
ResearchOnline@JCU
Sayedsalehi, Samira; Rahimi Azghadi, Mostafa; Angizi, Shaahin; Navi, Keivan (2015) 'Restoring and non-restoring array divider designs in quantum-dot cellular automata'. Information Sciences, 311 :86-101. [DOI]
Journal Publication
ResearchOnline@JCU
Rahimi Azghadi, Mostafa; Iannella, Nicolangelo; Al-Sarawi, Said; Abbott, Derek (2014) 'Tunable low energy, compact and high performance neuromorphic circuit for spike-based synaptic plasticity'. PLoS ONE, 9 (2):1-14. [DOI]
Spike-based synaptic plasticity in silicon: design, implementation, application, and challenges
2014
Rahimi Azghadi, Mostafa; Iannella, Nicolangelo; Al-Sarawi, Said F.; Indiveri, Giacomo; Abbott, Derek (2014) 'Spike-based synaptic plasticity in silicon: design, implementation, application, and challenges'. Proceedings of the IEEE, 102 (5):717-737. [DOI]
Journal Publication
ResearchOnline@JCU
Rahimi Azghadi, Mostafa; Al-Sarawi, Said; Abbott, Derek; Iannella, Nicolangelo (2013) 'A neuromorphic VLSI design for spike timing and rate based synaptic plasticity'. Neural Networks, 45 :70-82. [DOI]
Journal Publication
ResearchOnline@JCU
Navi, Keivan; Farazkish, Razieh; Sayedsalehi, Samira; Rahimi Azghadi, Mostafa (2010) 'A new quantum-dot cellular automata full-adder'. Microelectronics Journal, 41 (12):820-826. [DOI]
Journal Publication
ResearchOnline@JCU
Navi, Keivan; Sayedsalehi, Samira; Farazkish, Razieh; Rahimi Azghadi, Mostafa (2010) 'Five-input majority gate, a new device for quantum-dot cellular automata'. Journal of Computational and Theoretical Nanoscience, 7 (8):1546-1553. [DOI]
Journal Publication
ResearchOnline@JCU
Navi, K.; Foroutan, V.; Rahimi Azghadi, M.; Maeen, M.; Ebrahimpour, M.; Kaveh, M.; Kavehei, O. (2009) 'A novel low-power full-adder cell with new technique in designing logical gates based on static CMOS inverter'. Microelectronics Journal, 40 (10):1441-1448. [DOI]
Journal Publication
ResearchOnline@JCU
Farazkish, Razieh; Rahimi Azghadi, Mostafa; Navi, Keivan; Haghparast, Majid (2008) 'New method for decreasing the number of quantum dot cells in QCA circuits'. World Applied Sciences Journal, 4 (6):793-802.
Journal Publication
ResearchOnline@JCU
Rahimiazghadi, Mostafa; Kavehei, Omid; Navi, Keivan (2007) 'A novel design for quantum-dot cellular automata cells and full adders'. Journal of Applied Sciences, 7 (22):3460-3468.
Journal Publication
ResearchOnline@JCU
EMCR Brain Sciences Network Working Group (2022) 'Riding on the Brain's back: Building a strong brain science research community' AQ-Australian Quarterly, 93 (2) :24-30.
Journal Contribution
ResearchOnline@JCU
Carter, Adrian; Richards, Linda J.; Apthorp, Deborah; Rahimiazghadi, Mostafa; Badcock, David R.; Balleine, Bernard; Bekkers, John M.; Berk, Michael; Bourne, James A.; Bradley, Andrew P.; Breakspear, Michael; Brichta, Alan; Carter, Olivia; Castles, Anne; Chakli, Khaled; Cohen-Woods, Sarah; Conn, Simon J.; Cornish, Jennifer; Cornish, Kim; de Zubicaray, Greg; Egan, Gary F.; Enticott, Peter G.; Fitzgibbon, Bernadette M.; Forlini, Cynthia; Fornito, Alex; Griffiths, Lyn; Gullifer, Judith; Hall, Wayne; Halliday, Glenda; Hannan, Anthony J.; Harrer, Stefan; Harvey, Alan; Hatherly, Chris; Hickie, Ian B.; Kennett, Jeanette; Kiernan, Matthew; Kilpatrick, Trevor; Kiral-Kornek, Isabell; Korgaonkar, Mayuresh S.; Lawrence, Andrew J.; Leventer, Rick; Levy, Neil; Licinio, Julio; Lovell, Nigel; Mackellar, Geoff; Malcolm, Lynne; Mason, Alice; Mattingley, Jason B.; Medland, Sarah E.; Michie, Patricia T.; Nithianantharajah, Jess; Parker, John; Payne, Jonathan M.; Poole-Warren, Laura; Sah, Pankaj; Sarnyai, Zoltan; Schofield, Peter R.; Shimoni, Olga; Shum, David H.K.; Silk, Tim; Slee, Mark; Smith, Ashleigh E.; Soulis, Tina; Sriram, Sharath; Stuart, Greg J.; Tapson, Jonathan; Thompson, Matthew B.; van Schaik, André; Vincent, Nicole A.; Vissel, Bryce; Waters, Allison (2019) 'A neuroethics framework for the Australian Brain Initiative' Neuron, 101 (3) :365-369. [DOI]
Journal Contribution
ResearchOnline@JCU
Rahimi, Mostafa; Giacomo, Indiveri; Abbott, Derek (2014) 'Neuromorphic engineering: neuromimetic computation for understanding the brain' IEEE Life Sciences, June 2014 .
Journal Contribution
ResearchOnline@JCU
Rahimiazghadi, Mostafa; Al-sarawi, Said; Iannella, Nicolangelo; Abbott, Derek (2011) 'Physical implementation of pair-based spike-timing-dependent plasticity' Australasian Physical & Engineering Sciences in Medicine, 34 :572-572. [DOI]
Zhang, Tim; Amirsoleimani, Amirali; Eshraghian, Jason K.; Rahimi Azghadi, Mostafa; Genov, Roman; Xia, Yu (2023) Proceedings - IEEE International Symposium on Circuits and Systems SSCAE: A Neuromorphic SNN Autoencoder for sc-RNA-seq Dimensionality Reduction Monterey, CA, USA, [DOI]
Conference Publication
ResearchOnline@JCU
You, Hao; Xu, Jianxiong; Amirsoleimani, Amirali; Rahimi Azghadi, Mostafa; Genov, Roman (2023) BioCAS 2023 - 2023 IEEE Biomedical Circuits and Systems Conference, Conference Proceedings MEDSA: A Memristive-passive Delta-Sigma ADC Circuit for Detecting Neural Signals Toronto, Canada, [DOI]
Conference Publication
ResearchOnline@JCU
Cai, Zhengyu; Kalatehbali, Hamid Rahimian; Walters, Ben; Rahimi Azghadi, Mostafa; Amirsoleimani, Amirali; Genov, Roman (2023) BioCAS 2023 - 2023 IEEE Biomedical Circuits and Systems Conference, Conference Proceedings STDG: Fast and Lightweight SNN Training Technique Using Spike Temporal Locality Toronto, Canada, [DOI]
Conference Publication
ResearchOnline@JCU
Yang, Shuangming; Wang, Haowen; Rahimi Azghadi, Mostafa (2023) Conference Record - IEEE Instrumentation and Measurement Technology Conference Evolutionary Optimization of Neuromorphic Architecture for Low-power Cerebellum Prosthetic Instrumentation and Device in Biomedical Systems Kuala Lumpur, Malaysia, [DOI]
Conference Publication
ResearchOnline@JCU
Krishnamenon, Madhumenon; Tuladhar, Rabin; Rahimi Azghadi, Mostafa; Loughran, Jeffrey G.; Pandey, Govinda (2022) 2021 International Conference on Maintenance and Intelligent Asset Management (ICMIAM) Digital twins and their significance in engineering asset management Ballarat, VIC, Australia, [DOI]
Conference Publication
ResearchOnline@JCU
Zhang, Tim; Lammie, Corey; Azghadi, Mostafa Rahimi; Amirsoleimani, Amirali; Ahmadi, Majid; Genov, Roman (2022) Midwest Symposium on Circuits and Systems Toward A Formalized Approach for Spike Sorting Algorithms and Hardware Evaluation Fukuoka, Japan, [DOI]
Conference Publication
ResearchOnline@JCU
Dong, Xuening; Amirsoleimani, Amirali; Azghadi, Mostafa Rahimi; Genov, Roman (2022) 2022 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2022 In-Memory Memristive Transformation Stage of Gaussian Random Number Generator Barcelona, Spain, [DOI]
Conference Publication
ResearchOnline@JCU
Eshraghian, Jason K.; Lammie, Corey; Azghadi, Mostafa Rahimi; Lu, Wei D. (2022) Proceeding - IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2022 Navigating Local Minima in Quantized Spiking Neural Networks Incheon, Republic of Korea, [DOI]
Conference Publication
ResearchOnline@JCU
Lammie, Corey; Eshraghian, Jason K.; Li, Chenqi; Amirsoleimani, Amirali; Genov, Roman; Lu, Wei D.; Azghadi, Mostafa Rahimi (2022) Proceedings - IEEE International Symposium on Circuits and Systems Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures Austin, TX, USA, [DOI]
Conference Publication
ResearchOnline@JCU
Lammie, Corey; Xiang, Wei; Rahimi Aghadi, Mostafa (2021) 2021 IEEE International Symposium on Circuits and Systems (ISCAS) Towards memristive deep learning systems for real-time mobile epileptic seizure prediction Daegu, Korea, [DOI]
Conference Publication
ResearchOnline@JCU
Lammie, Corey; Rahimi Azghadi, Mostafa (2020) 2020 IEEE International Symposium on Circuits and Systems (ISCAS) MemTorch: a simulation framework for deep memristive cross-bar architectures Seville, Spain, [DOI]
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Lammie, Corey; Xiang, Wei; Rahimi Azghadi, Mostafa (2020) 2020 IEEE International Symposium on Circuits and Systems (ISCAS) Training progressively Binarizing Deep Networks using FPGAs Seville, Spain, [DOI]
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Eshraghain, Jason K.; Lammie, Corey; Rahimi Azghadi, Mostafa (2020) 2020 IEEE International Symposium on Circuits and Systems (ISCAS) Biologically plausible contrast detection using a memristor array Seville, Spain, [DOI]
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Calvert, Brendan; Olsen, Alex; Philippa, Bronson; Rahimi Azghadi, Mostafa (2019) PAWS 2019: 1st Queensland Pest Animal and Weed Symposium Autoweed: detecting Harrisia cactus in the Goondiwindi region for selective spot-spraying Gold Coast, QLD, Australia,
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Lammie, Corey; Azghadi, Mostafa Rahimi (2019) Proceedings - IEEE International Symposium on Circuits and Systems Stochastic computing for low-power and high-speed deep learning on FPGA Sapporo, Japan, [DOI]
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Lammie, Corey; Xiang, Wei; Azghadi, Mostafa Rahimi (2019) Midwest Symposium on Circuits and Systems Accelerating deterministic and stochastic binarized neural networks on FPGAS using OpenCL Dallas, TX, USA, [DOI]
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Lammie, Corey; Krestinskaya, Olga; James, Alex; Rahimi Azghadi, Mostafa (2019) 2019 ICECS: 26th IEEE International Conference on Electronics, Circuits and Systems Variation-aware binarized memristive networks Genoa, Italy, [DOI]
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Lammie, Corey; Hamilton, Tara; Azghadi, Mostafa Rahimi (2018) 2018 IEEE International Symposium on Circuits and Systems (ISCAS) Unsupervised character recognition with a simplified FPGA neuromorphic system Florence, Italy, [DOI]
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Rahimi Azghadi, Mostafa; Moradi, Saber; Indiveri, Giacomo (2013) NEWCAS 2013: 11th International New Circuits and Systems Conference Programmable neuromorphic circuits for spike-based neural dynamics Paris, France, [DOI]
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Rahimiazghadi, Mostafa Rahimi; Al-Sarawi, Said; Abbott, Derek; Iannella, Nicolangelo (2013) ICECS 2013: IEEE 20th International Conference on Electronics, Circuits, and Systems Pairing frequency experiments in visual cortex reproduced in a neuromorphic STDP circuit Abu Dhabi, United Arab Emirates, [DOI]
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Rahimi Azghadi, Mostafa; Al-Sarawi, Said; Iannella, Nicolangelo; Abbott, Derek (2013) 2013 IFIP/IEEE: 21st International Conference on Very Large Scale Integration (VLSI-SoC) A new compact analog vlsi model for spike timing dependent plasticity Istanbul, Turkey, [DOI]
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Rahimi Azghadi, Mostafa; Al-Sarawi, Said; Iannella, Nicolangelo; Abbott, Derek (2012) 2012 International Joint Conference on Neural Networks (IJCNN) Design and implementation of BCM rule based on spike-timing dependent plasticity Brisbane, QLD, Australia, [DOI]
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Rahimi Azghadi, Mostafa; Al-Sarawi, Said; Iannella, Nicolangelo; Abbott, Derek (2012) 2012 International Joint Conference on Neural Networks (IJCNN) Efficient design of triplet based spike-timing dependent plasticity Brisbane, QLD, Australia, [DOI]
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Rahimi Azghadi, Mostafa; Kavehei, Omid; Al-Sarawi, Said; Iannella, Nicolangelo; Abbott, Derek (2011) JNNS 2011: 21st Annual Conference of the Japanese Neural Network Society Triplet-based spike-timing dependent plasticity in silicon Okinawa, Japan,
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Rahimiazghadi, Mostafa; Kavehei, Omid; Al-Sarawi, Said; Iannella, Nicoangelo; Abbott, Derek (2011) ISSNIP 2011: 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing Novel VLSI implementation for triplet-based spike-timing dependent plasticity Adelaide, SA, Australia, [DOI]
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Kavehei, Omid; Rahimi Azghadi, Mostafa; Navi, Keivan; Mirbaha, Amir-Pasha (2008) ISVLSI 08: IEEE Computer Society Annual Symposium on VLSI . In: Torres, Lionel;O'Connor, Ian;Benoit, Pascal;Mukherjee, Amar;Smailagic, Asim eds. Design of robust and high-performance 1-bit CMOS Full Adder for nanometer design Montpelier, France, [DOI]
Conference Publication
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Kazemi-Fard, Nazim; Ebrahimpour, Maryam; Rahimi, Mostafa; Tehrani, Mohammad; Navi, Keivan (2008) EWDTS 08: IEEE East-West Design & Test Symposium Performance evaluation of in-circuit testing on QCA based circuits Lviv, Ukraine, [DOI]
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Adineh-Vand, A.; Latif-Shabgahi, G.; Rahimi Azghadi, Mostafa (2008) 2008 3rd International Design and Test Workshop . In: Abid, Mohamed;Zorian, Yervant;Loulou, Mourad;Salem, Ashraf;Ivanov, Andre eds. Increasing testability in QCA circuits using a new test method Monastir, Tunisia, [DOI]
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Hashemi, Sara; Rahimi Azghadi, Mostafa; Zakerolhosseini, Ali (2008) IST 2008: International Symposium on Telecommunications A novel QCA multiplexer design Tehran, Iran, [DOI]
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Rahimi Azghadi, Mostafa; Bonyadi, Reza; Hashemi, Sara; Moghadam, Mohsen Ebrahimi (2008) QShine08: 5th International ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness A hybrid multiprocessor task scheduling method based on immune genetic algorithm Hong Kong,
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Bonyadi, M.R.; Azghadi, S.M.R.; Rad, N.M.; Navi, K.; Afjei, E. (2007) IEEE 07: International Conference on Electrical Engineering Logic optimization for majority gate-based nanoelectronic circuits based on genetic algorithm Lahore, Pakistan, [DOI]
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Bonyadi, Mohammad Reza; Rahimi Azghadi, S. Mostafa; Shah Hosseini, Hamed (2007) AIAI 2007: 4th IFIP International Conference on Artificial Intelligence Applications and Innovations Solving Traveling Salesman Problem using combinational evolutionary algorithm Athens, Greece, [DOI]
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Rahimi Azghadi, S. Mostafa; Bonyadi, M. Reza; Shah-Hosseini, Hamed (2007) AIAI 2007: 4th IFIP International Conference on Artificial Intelligence Applications and Innovations Gender classification based on feedforward backpropagation neural network Athens, Greece, [DOI]
Lammie, Corey; Rahimi Azghadi, Mostafa (2020) 2020 IEEE International Symposium on Circuits and Systems (ISCAS) Live demonstration: Low-Power and High-Speed Deep FPGA Inference Engines for weed classification at the edge Seville, Spain, . [DOI]
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Lammie, Corey; Hamilton, Tara; Azghadi, Mostafa Rahimi (2018) ISCAS 2018: IEEE International Symposium on Circuits and Systems Live demonstration: Unsupervised character recognition with a FPGA neuromorphic system Florence, Italy, . [DOI]
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Lammie, Corey; Rahimiazghadi, Mostafa (2017) SCiNDU: Systems & Computational Neuroscience Down Under Digital, analog, and memristive implementation of Spike-based Synaptic Plasticity Brisbane, QLD, Australia, .
Rahimi Azghadi, Mostafa; Al-Sarawi, Said; Iannella, Nicolangelo; Abbott, Derek (2011) 5th Australian Workshop on Computational Neuroscience Emergent BCM via neuromorphic VLSI synapses with STDP University of Western Sydney, Campbelltown, NSW, .
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Adineh-Vand, Auob; Parandin, Fariborz; Rahimi Azghadi, Mostafa; Khalilzadeh, Alireza (2009) 9th Workshop on Models and Algorithms for Planning and Scheduling Problems Solving multi-processor task scheduling problem using a combinatorial evolutionary algorithm Kerkrade, The Netherlands, .
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Walters, B.; Lammie, C.; Eshraghian, J.; Yakopcic, C.; Taha, T.; Genov, R.; Jacob, M.V.; Amirsoleimani, A.; Rahimi Azghadi, M. (2023) 'Memristive Devices for Neuromorphic and Deep Learning Applications' In: Walters, B., Lammie, C., Eshraghian, J., Yakopcic, C., Taha, T., Genov, R., Jacob, M.V., Amirsoleimani, A., and Rahimi Azghadi, M. (2023) Memristive Devices for Neuromorphic and Deep Learning Applications. In: Zho, Ye, (ed.) Advanced Memory Technology: Functional Materials and Devices. Optical, Electronic and Magnetic Materials . Royal Society of Chemistry, London, United Kingdom, pp. 680-704(Eds.). Advanced Memory Technology: Functional Materials and Devices. London, United Kingdom : Royal Society of Chemistry. [DOI]
Book Chapter
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Bonyadi, Reza Mohammad; Rahimi Azghadi, Mostafa; Shah-Hosseini, Hamed (2008) 'Population-based optimization algorithms for solving the travelling salesman problem' In: Bonyadi, Reza Mohammad, Rahimi Azghadi, Mostafa, and Shah-Hosseini, Hamed (2008) Population-based optimization algorithms for solving the travelling salesman problem. In: Greco, Federico, (ed.) Traveling Salesman Problem. InTechOpen, pp. 1-34(Eds.). Traveling Salesman Problem. : InTechOpen. [DOI]