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, and 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. (In Press)

Saleh, Alzayat, Sheaves, Marcus, Jerry, Dean, and Rahimi Azghadi, Mostafa (2024) Applications of deep learning in fish habitat monitoring: A tutorial and survey. Expert Systems with Applications, 238. 121841.

Saleh, Alzayat, Sheaves, Marcus, Jerry, Dean, and Rahimi Azghadi, Mostafa (2024) How to track and segment fish without human annotations: a self-supervised deep learning approach. Pattern Analysis and Applications, 27. 4.

Yang, Shuangming, Wang, Haowen, Pang, Yanwei, Rahimi Azghadi, Mostafa, and Linares-Barranco, Bernabe (2024) NADOL: Neuromorphic Architecture for Spike-driven Online Learning By Dendrites. IEEE Transactions on Biomedical Circuits and Systems, 18 (1). pp. 186-199.

Saleh, Alzayat, Hasan, Md Mehedi, Raadsma, Herman W., Khatkar, Mehar S., Jerry, Dean, and Rahimi Azghadi, Mostafa (2024) Prawn Morphometrics and Weight Estimation from Images using Deep Learning for Landmark Localization. Aquacultural Engineering, 106. 102391.

Walters, Ben, Lammie, Corey, Yang, Shuangming, Jacob, Mohan V., and Rahimi Azghadi, Mostafa (2024) Unsupervised character recognition with graphene memristive synapses. Neural Computing and Applications, 36. pp. 1569-1584.

Dong, Xuening, Amirsoleimani, Amirali, Rahimi Azghadi, Mostafa, and Genov, Roman (2024) WALLAX: A memristor-based Gaussian random number generator. Neurocomputing, 566. 126933.

Dong, Xuening, Primeau, Louis, Genov, Roman, Rahimi Azghadi, Mostafa, and Amirsoleimani, Amirali (2023) Efficient Memristive Stochastic Differential Equation Solver. Advanced Intelligent Systems, 5 (8). 2300008.

Vos, Gideon, Trinh, Kelly, Sarnyai, Zoltan, and 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. 104556.

Yang, Shuangming, Wang, Haowen, and Rahimi Azghadi, Mostafa (2023) Evolutionary Optimization of Neuromorphic Architecture for Low-power Cerebellum Prosthetic Instrumentation and Device in Biomedical Systems. In: Proceedings of the IEEE International Instrumentation and Measurement Technology Conference. From: I2MTC 2023: IEEE International Instrumentation and Measurement Technology Conference, 22-25 May 2023, Kuala Lumpur, Malaysia.

Vos, Gideon, Trinh, Kelly, Sarnyai, Zoltan, and Rahimi Azghadi, Mostafa (2023) Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review. International Journal of Medical Informatics, 173. 105026.

Jooq, Mohammad Khaleqi Qaleh, Rahimi Azghadi, Mostafa, Behbahani, Fereshteh, Al-Shidaifat, Alaaddin, and 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. pp. 133451-133459.

You, Hao, Xu, Jianxiong, Amirsoleimani, Amirali, Rahimi Azghadi, Mostafa, and Genov, Roman (2023) MEDSA: A Memristive-passive Delta-Sigma ADC Circuit for Detecting Neural Signals. In: Proceedings of the IEEE Biomedical Circuits and Systems Conference, Conference Proceedings. From: BioCAS 2023: IEEE Biomedical Circuits and Systems, 19-21 October 2023, Toronto, Canada.

Saleh, Alzayat, Jones, David, Jerry, Dean, and Azghadi, Mostafa Rahimi (2023) MFLD-net: a lightweight deep learning network for fish morphometry using landmark detection. Aquatic Ecology, 57. pp. 913-931.

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.

Walters, Ben, Jacob, Mohan V., Amirsoleimani, Amirali, and Rahimi Azghadi, Mostafa (2023) A Review of Graphene-Based Memristive Neuromorphic Devices and Circuits. Advanced Intelligent Systems, 5 (10). 2300136.

Zhang, Tim, Amirsoleimani, Amirali, Eshraghian, Jason K., Rahimi Azghadi, Mostafa, Genov, Roman, and Xia, Yu (2023) SSCAE: A Neuromorphic SNN Autoencoder for sc-RNA-seq Dimensionality Reduction. In: Proceedings of the IEEE International Symposium on Circuits and Systems. From: ISCAS 2023: IEEE International Symposium on Circuits and Systems, 21-25 May 2023, Monterey, CA, USA.

Cai, Zhengyu, Kalatehbali, Hamid Rahimian, Walters, Ben, Rahimi Azghadi, Mostafa, Amirsoleimani, Amirali, and Genov, Roman (2023) STDG: Fast and Lightweight SNN Training Technique Using Spike Temporal Locality. In: Proceedings of the 2023 IEEE Biomedical Circuits and Systems Conference. From: BioCAS 2023: IEEE Biomedical Circuits and Systems, 19-21 October 2023, Toronto, Canada.

Li, Jingjin, Chen, Chao, Rahimi Azghadi, Mostafa, Ghodosi, Hossein, Pan, Lei, and Zhang, Jun (2023) Security and privacy problems in voice assistant applications: A survey. Computers & Security, 134. 103448.

Jahanbakht, Mohammad, Rahimi Azghadi, Mostafa, and Waltham, Nathan J. (2023) Semi-supervised and weakly-supervised deep neural networks and dataset for fish detection in turbid underwater videos. Ecological Informatics, 78. 102303.

Li, Chenqi, Lammie, Corey, Amirsoleimani, Amirali, Rahimi Azghadi, Mostafa, and Genov, Roman (2023) Simulation of memristive crossbar arrays for seizure detection and prediction using parallel Convolutional Neural Networks [Formula presented]. Software Impacts, 15 (March). 100473.

Cai, Zhengyu, Kalatehbali, Hamid Rahimian, Walters, Ben, Rahimi Azghadi, Mostafa, Amirsoleimani, Amirali, and 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). pp. 1083-1093.

Zhang, Tim, Rahimi Azghadi, Mostafa, Lammie, Corey, Amirsoleimani, Amirali, and Genov, Roman (2023) Spike sorting algorithms and their efficient hardware implementation: A comprehensive survey. Journal of Neural Engineering, 20 (2). 021001.

You, Hao, Amirsoleimani, Amirali, Xu, Jianxiong, Rahimi Azghadi, Mostafa, and Genov, Roman (2023) A subranging nonuniform sampling memristive neural network-based analog-to-digital converter. Memories - Materials, Devices, Circuits and Systems, 4. 100038.

Yang, Shuangming, Wang, Jiang, Zhang, Nan, Deng, Bin, Pang, Yanwei, and 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). pp. 4398-4412.

Saleh, Alzayat, Sheaves, Marcus, and Rahimi Azghadi, Mostafa (2022) Computer vision and deep learning for fish classification in underwater habitats: A survey. Fish and Fisheries, 23 (4). pp. 977-999.

Lammie, Corey, Eshraghian, Jason K., Li, Chenqi, Amirsoleimani, Amirali, Genov, Roman, Lu, Wei D., and Azghadi, Mostafa Rahimi (2022) Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures. In: Proceedings of the IEEE International Symposium on Circuits and Systems. pp. 1107-1111. From: ISCAS 2022: IEEE International Symposium on Circuits and Systems, 27 May - 1 June 2022, Austin, TX, USA.

Krishnamenon, Madhumenon, Tuladhar, Rabin, Rahimi Azghadi, Mostafa, Loughran, Jeffrey G., and Pandey, Govinda (2022) Digital twins and their significance in engineering asset management. In: Proceedings of the International Conference on Maintenance and Intelligent Asset Management. From: ICMIAM 2021: International Conference on Maintenance and Intelligent Asset Management, 12-15 December 2021, Ballarat, VIC, Australia.

Jahanbakht, Mohammad, Xiang, Wei, Waltham, Nathan J., and 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. pp. 117796-117807.

Dong, Xuening, Amirsoleimani, Amirali, Azghadi, Mostafa Rahimi, and Genov, Roman (2022) In-Memory Memristive Transformation Stage of Gaussian Random Number Generator. In: Proceedings of the IEEE International Conference on Omni-Layer Intelligent Systems. From: COINS 2022: IEEE International Conference on Omni-layer Intelligent Systems, 1-3 August 2022, Barcelona, Spain.

Lammie, Corey, Xiang, Wei, Linares-Barranco, Bernabé, and Rahimi Azghadi, Mostafa (2022) MemTorch: an open-source simulation framework for memristive deep learning systems. Neurocomputing, 485. pp. 124-133.

Lammie, Corey, Xiang, Wei, and Rahimiazghadi, Mostafa (2022) Modeling and simulating in-memory memristive deep learning systems: an overview of current efforts. Array, 13. 100116.

Eshraghian, Jason K., Lammie, Corey, Azghadi, Mostafa Rahimi, and Lu, Wei D. (2022) Navigating Local Minima in Quantized Spiking Neural Networks. In: Proceedings of the IEEE International Conference on Artificial Intelligence Circuits and Systems. pp. 352-355. From: AICAS 2022: IEEE International Conference on Artificial Intelligence Circuits and Systems, 13-15 June 2022, Incheon, Republic of Korea.

Yang, Shuangming, Wang, Jiang, Deng, Bin, Rahimi Azghadi, Mostafa, and Linares-Barranco, Bernabe (2022) Neuromorphic context-dependent learning framework with fault-tolerant spike routing. IEEE Transactions on Neural Networks and Learning Systems, 33 (12). pp. 7126-7140.

Jahanbakht, Mohammad, Xiang, Wei, Robson, Barbara, and Rahimi Azghadi, Mostafa (2022) Nitrogen prediction in the Great Barrier Reef using finite element analysis with deep neural networks. Environmental Modelling & Software, 150. 105311.

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). pp. 24-30.

Yang, Shuangming, Gao, Tian, Wang, Jiang, Deng, Bin, Rahimiazghadi, Mostafa, Lei, Tao, and Linares-Barranco, Bernabe (2022) SAM: a unified self-adaptive multicompartmental spiking neuron model for learning with working memory. Frontiers in Neuroscience, 16. 850945.

Jahanbakht, Mohammad, Xiang, Wei, and Rahimi Azghadi, Mostafa (2022) Sea surface temperature forecasting with ensemble of stacked deep neural networks. IEEE Geoscience and Remote Sensing Letters, 19. 1502605.

Jahanbakht, Mohammad, Xiang, Wei, and Azghadi, Mostafa Rahimi (2022) Sediment Prediction in the Great Barrier Reef using Vision Transformer with finite element analysis. Neural Networks, 152. pp. 311-321.

Li, Chenqi, Lammie, Corey, Dong, Xuening, Amirsoleimani, Amirali, Azghadi, Mostafa Rahimi, and Genov, Roman (2022) Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks. IEEE Transactions on Biomedical Circuits and Systems, 16 (4). pp. 609-625.

Zhang, Tim, Lammie, Corey, Azghadi, Mostafa Rahimi, Amirsoleimani, Amirali, Ahmadi, Majid, and Genov, Roman (2022) Toward A Formalized Approach for Spike Sorting Algorithms and Hardware Evaluation. In: Proceedings of the IEEE 65th Midwest Symposium on Circuits and Systems. From: MWSCAS 2022: IEEE 65th International Midwest Symposium on Circuits and Systems, 7-10 August 2022, Fukuoka, Japan.

Mustafa, Akram, and Rahimi Azghadi, Mostafa (2021) Automated machine learning for healthcare and clinical notes analysis. Computers, 10 (2). 24.

Lammie, Corey, Rahimiazghadi, Mostafa, and Ielmini, Daniele (2021) Empirical metal-oxide RRAM device endurance and retention model for deep learning simulations. Semiconductor Science and Technology, 36 (6). 065003.

Jahanbakht, Mohammad, Xiang, Wei, Hanzo, Lajos, and Rahimi Azghadi, Mostafa (2021) Internet of underwater things and big marine data analytics — a comprehensive survey. IEEE Communications Surveys & Tutorials, 23 (2). pp. 904-956.

Lammie, Corey, Eshraghian, Jason K., Lu, Wei D., and Rahimi Azghadi, Mostafa (2021) Memristive stochastic computing for deep learning parameter optimization. IEEE Transactions on Circuits and Systems II: Express Briefs, 68 (5). pp. 1650-1654.

Calvert, Brendan, Olsen, Alex, Whinney, James, and Rahimi Azghadi, Mostafa (2021) Robotic spot spraying of Harrisia cactus (Harrisia martinii) in grazing pastures of the Australian rangelands. Plants, 10 (10). 2054.

Lammie, Corey, Xiang, Wei, and Rahimi Aghadi, Mostafa (2021) Towards memristive deep learning systems for real-time mobile epileptic seizure prediction. In: Proceedings of the IEEE International Symposium on Circuits and Systems. From: ISCAS 2021: IEEE International Symposium on Circuits and Systems, 22-28 May 2021, Daegu, Korea.

Laradji, Issam H., Saleh, Alzayat, Rodriguez, Pau, Nowrouzezahrai, Derek, Rahimi Azghadi, Mostafa, and Vazquez, David (2021) Weakly supervised underwater fish segmentation using affinity LCFCN. Scientific Reports, 11. p. 17379.

Saleh, Alzayat, Laradji, Issam H., Lammie, Corey, Vazquez, David, Flavell, Carol Ann, and 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. 10. pp. 3865-3873.

Eshraghain, Jason K., Lammie, Corey, and Rahimi Azghadi, Mostafa (2020) Biologically plausible contrast detection using a memristor array. In: Proceedings of the 2020 IEEE International Symposium on Circuits and Systems. From: ISCAS: 2020 IEEE International Symposium on Circuits and Systems, 10-21 October 2020, Seville, Spain.

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., and Chang, Yao-Feng (2020) Complementary metal‐oxide semiconductor and memristive hardware for neuromorphic computing. Advanced Intelligent Systems, 2 (5). 1900189.

Rahimi Azghadi, Mostafa, Lammie, Corey, Eshraghian, Jason K., Payvand, Melika, Donati, Elisa, Linares-Barranco, Bernabe, and Indiveri, Giacomo (2020) Hardware implementation of deep network accelerators towards healthcare and biomedical applications. IEEE Transactions on Biomedical Circuits and Systems, 14 (6). pp. 1138-1159.

Lammie, Corey, and Rahimi Azghadi, Mostafa (2020) Live demonstration: Low-Power and High-Speed Deep FPGA Inference Engines for weed classification at the edge. In: Proceedings of the 2020 IEEE International Symposium on Circuits and Systems. From: ISCAS: 2020 IEEE International Symposium on Circuits and Systems, 10-21 October 2020, Seville, Spain.

Asgari, Hajar, Mazloom-Nezhad Maybodi, Babak, Payvand, Melika, and 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). pp. 2697-2701.

Lammie, Corey, and Rahimi Azghadi, Mostafa (2020) MemTorch: a simulation framework for deep memristive cross-bar architectures. In: Proceedings of the 2020 IEEE International Symposium on Circuits and Systems. From: ISCAS: 2020 IEEE International Symposium on Circuits and Systems, 10-21 October 2020, Seville, Spain.

Almasi, Milad, Karimi, Gholamreza, Ranjbar, Mahnaz, and Rahimi Azghadi, Mostafa (2020) New analogue stop-learning control module using astrocyte for neuromorphic learning. IET Circuits, Devices & Systems, 14 (1). pp. 100-106.

Lammie, Corey, Xiang, Wei, and Rahimi Azghadi, Mostafa (2020) Training progressively Binarizing Deep Networks using FPGAs. In: Proceedings of the 2020 IEEE International Symposium on Circuits and Systems. From: ISCAS: 2020 IEEE International Symposium on Circuits and Systems, 10-21 October 2020, Seville, Spain.

Calvert, Brendan, Olsen, Alex, Philippa, Bronson, and Rahimi Azghadi, Mostafa (2019) Autoweed: detecting Harrisia cactus in the Goondiwindi region for selective spot-spraying. In: https://www.wsq.org.au/downloads/2019-pest-animal-and-weed-symposium-proceedings/. pp. 52-57. From: PAWS 2019: 1st Queensland Pest Animal and Weed Symposium, 20-23 May 2019, Gold Coast, QLD, Australia.

Lammie, Corey, Xiang, Wei, and Azghadi, Mostafa Rahimi (2019) Accelerating deterministic and stochastic binarized neural networks on FPGAS using OpenCL. In: Procedings of the International Midwest Symposium on Circuits and Systems. pp. 626-629. From: MWSCAS 2019: IEEE 62nd International Midwest Symposium on Circuits and Systems, 4-7 August 2019, Dallas, TX, USA.

Heidarpur, Moslem, Ahmadi, Arash, Ahmadi, Majid, and Rahimi Azghadi, Mostafa (2019) CORDIC-SNN: on-FPGA STDP learning with Izhikevich neurons. IEEE Transactions on Circuits and Systems I: Regular Papers, 66 (7). pp. 2651-2661.

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, and White, Ronald D. (2019) DeepWeeds: a multiclass weed species image dataset for deep learning. Scientific Reports, 9. 2058.

Hashemi, Sara, Rahimi Azghadi, Mostafa, and Navi, Keivan (2019) Design and analysis of efficient QCA reversible adders. The Journal of Supercomputing, 75. pp. 2106-2125.

Lammie, Corey, Hamilton, Tara Julia, van Schaik, André, and 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). pp. 1558-1570.

Lammie, Corey, Olsen, Alex, Carrick, Tony, and Rahimi Azghadi, Mostafa (2019) Low-power and high-speed deep FPGA inference engines for weed classification at the edge. IEEE Access, 7. pp. 51171-51184.

Lammie, Corey, and Azghadi, Mostafa Rahimi (2019) Stochastic computing for low-power and high-speed deep learning on FPGA. In: Proceedings of the IEEE International Symposium on Circuits and Systems. From: ISCAS 2019: IEEE International Symposium on Circuits and Systems, 26-29 May 2019, Sapporo, Japan.

Lammie, Corey, Krestinskaya, Olga, James, Alex, and Rahimi Azghadi, Mostafa (2019) Variation-aware binarized memristive networks. In: Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems. pp. 490-493. From: 2019 ICECS: 26th IEEE International Conference on Electronics, Circuits and Systems, 27-29 November 2019, Genoa, Italy.

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, and Waters, Allison (2019) A neuroethics framework for the Australian Brain Initiative. Neuron, 101 (3). pp. 365-369.

Lammie, Corey, Hamilton, Tara, and Azghadi, Mostafa Rahimi (2018) Unsupervised character recognition with a simplified FPGA neuromorphic system. In: Proceedings of the IEEE International Symposium on Circuits and Systems. From: 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 27-30 May 2018, Florence, Italy.

Lammie, Corey, Hamilton, Tara, and Azghadi, Mostafa Rahimi (2018) Live demonstration: Unsupervised character recognition with a FPGA neuromorphic system. In: Proceedings of the IEEE International Symposium on Circuits and Systems. From: ISCAS 2018: IEEE International Symposium on Circuits and Systems, 27-30 May 2018, Florence, Italy.

Lammie, Corey, and Rahimiazghadi, Mostafa (2017) Digital, analog, and memristive implementation of Spike-based Synaptic Plasticity. In: Abstracts from the Systems & Computational Neuroscience Down Under Meeting. p. 46. From: SCiNDU: Systems & Computational Neuroscience Down Under, 13-15 December 2017, Brisbane, QLD, Australia.

Aghnout, Soraya, Karimi, Gholamreza, and Rahimiazghadi, Mostafa (2017) Modeling triplet spike-timing-dependent plasticity using memristive devices. Journal of Computational Electronics, 16 (2). pp. 401-410.

Nguyen, Cong Dao, El Kass, Abdallah, Rahimi Azghadi, Mostafa, Jin, Craig T., Scott, Jonathan, and Leong, Philip H.W. (2017) An enhanced MOSFET threshold voltage model for the 6–300 K temperature range. Microelectronics Reliability, 69. pp. 36-39.

Rahimiazghadi, Mostafa, Linares-Barranco, Bernabe, Abbott, Derek, and Leong, Philip (2017) A hybrid CMOS-memristor neuromorphic synapse. IEEE Transactions on Biomedical Circuits and Systems, 11 (2). pp. 434-444.

Sayedsalehi, Samira, Rahimi Azghadi, Mostafa, Angizi, Shaahin, and Navi, Keivan (2015) Restoring and non-restoring array divider designs in quantum-dot cellular automata. Information Sciences, 311. pp. 86-101.

Rahimiazghadi, Mostafa, Moradi, Saber, Fasnacht, Daniel B., Ozdas, Mehmet Sirin, and Indiveri, Giacomo (2015) Programmable spike-timing-dependent plasticity learning circuits in neuromorphic VLSI architectures. ACM Journal on Emerging Technologies in Computing Systems, 12 (2). pp. 1-17.

Hashemi, Sara, Rahimi Azghadi, Mostafa, Zakerolhosseini, Ali, and Navi, Keivan (2015) A novel FPGA-programmable switch matrix interconnection element in quantum-dot cellular automata. International Journal of Electronics, 102 (4). pp. 703-724.

Rahimi, Mostafa, Giacomo, Indiveri, and Abbott, Derek (2014) Neuromorphic engineering: neuromimetic computation for understanding the brain. IEEE Life Sciences, June 2014.

Rahimi Azghadi, Mostafa, Iannella, Nicolangelo, Al-Sarawi, Said F., Indiveri, Giacomo, and Abbott, Derek (2014) Spike-based synaptic plasticity in silicon: design, implementation, application, and challenges. Proceedings of the IEEE, 102 (5). pp. 717-737.

Rahimi Azghadi, Mostafa, Iannella, Nicolangelo, Al-Sarawi, Said, and Abbott, Derek (2014) Tunable low energy, compact and high performance neuromorphic circuit for spike-based synaptic plasticity. PLoS ONE, 9 (2). e88326. pp. 1-14.

Rahimi Azghadi, S. Mostafa (2014) Neuromorphic VLSI designs for spike timing and rate-based synaptic plasticity with application in pattern classification. PhD thesis, The University of Adelaide.

Rahimiazghadi, Mostafa Rahimi, Al-Sarawi, Said, Abbott, Derek, and Iannella, Nicolangelo (2013) Pairing frequency experiments in visual cortex reproduced in a neuromorphic STDP circuit. In: Proceedings of the IEEE 20th International Conference on Electronics, Circuits, and Systems. pp. 229-232. From: ICECS 2013: IEEE 20th International Conference on Electronics, Circuits, and Systems, 8-11 December 2013, Abu Dhabi, United Arab Emirates.

Rahimi Azghadi, Mostafa, Moradi, Saber, and Indiveri, Giacomo (2013) Programmable neuromorphic circuits for spike-based neural dynamics. In: Proceedings of the 11th International New Circuits and Systems Conference. pp. 1-4. From: NEWCAS 2013: 11th International New Circuits and Systems Conference, 16-19 June 2013, Paris, France.

Rahimi Azghadi, Mostafa, Al-Sarawi, Said, Abbott, Derek, and Iannella, Nicolangelo (2013) A neuromorphic VLSI design for spike timing and rate based synaptic plasticity. Neural Networks, 45. pp. 70-82.

Rahimi Azghadi, Mostafa, Al-Sarawi, Said, Iannella, Nicolangelo, and Abbott, Derek (2013) A new compact analog vlsi model for spike timing dependent plasticity. In: Proceedings of the 21st International Conference on Very Large Scale Integration (VLSI-SoC). pp. 7-12. From: 2013 IFIP/IEEE: 21st International Conference on Very Large Scale Integration (VLSI-SoC), 7-9 October 2013, Istanbul, Turkey.

Rahimi Azghadi, Mostafa, Al-Sarawi, Said, Iannella, Nicolangelo, and Abbott, Derek (2012) Design and implementation of BCM rule based on spike-timing dependent plasticity. In: Proceedings of the 2012 International Joint Conference on Neural Networks. pp. 1-7. From: 2012 International Joint Conference on Neural Networks (IJCNN), 10-15 June 2012, Brisbane, QLD, Australia.

Rahimi Azghadi, Mostafa, Al-Sarawi, Said, Iannella, Nicolangelo, and Abbott, Derek (2012) Efficient design of triplet based spike-timing dependent plasticity. In: Proceedings of the 2012 International Joint Conference on Neural Networks. pp. 1-7. From: 2012 International Joint Conference on Neural Networks (IJCNN), 10-15 June 2012, Brisbane, QLD, Australia.

Rahimi Azghadi, Mostafa, Al-Sarawi, Said, Iannella, Nicolangelo, and Abbott, Derek (2011) Emergent BCM via neuromorphic VLSI synapses with STDP. In: Australian Workshop on Computational Neuroscience. p. 31. From: 5th Australian Workshop on Computational Neuroscience, 13-14 December 2011, University of Western Sydney, Campbelltown, NSW.

Rahimiazghadi, Mostafa, Kavehei, Omid, Al-Sarawi, Said, Iannella, Nicoangelo, and Abbott, Derek (2011) Novel VLSI implementation for triplet-based spike-timing dependent plasticity. In: Proceedings of the 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing. pp. 158-162. From: ISSNIP 2011: 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 6-9 December 2011, Adelaide, SA, Australia.

Rahimiazghadi, Mostafa, Al-sarawi, Said, Iannella, Nicolangelo, and Abbott, Derek (2011) Physical implementation of pair-based spike-timing-dependent plasticity. Australasian Physical & Engineering Sciences in Medicine, 34. 141. p. 572.

Rahimi Azghadi, Mostafa, Kavehei, Omid, Al-Sarawi, Said, Iannella, Nicolangelo, and Abbott, Derek (2011) Triplet-based spike-timing dependent plasticity in silicon. In: Proceedings of the 21st Annual Conference of the Japanese Neural Network Society. 35. From: JNNS 2011: 21st Annual Conference of the Japanese Neural Network Society, 15-17 December 2011, Okinawa, Japan.

Navi, Keivan, Sayedsalehi, Samira, Farazkish, Razieh, and Rahimi Azghadi, Mostafa (2010) Five-input majority gate, a new device for quantum-dot cellular automata. Journal of Computational and Theoretical Nanoscience, 7 (8). pp. 1546-1553.

Navi, Keivan, Farazkish, Razieh, Sayedsalehi, Samira, and Rahimi Azghadi, Mostafa (2010) A new quantum-dot cellular automata full-adder. Microelectronics Journal, 41 (12). pp. 820-826.

Adineh-Vand, Auob, Parandin, Fariborz, Rahimi Azghadi, Mostafa, and Khalilzadeh, Alireza (2009) Solving multi-processor task scheduling problem using a combinatorial evolutionary algorithm. In: Proceedings of the 9th Workshop on Models and Algorithms for Planning and Scheduling Problems. pp. 91-93. From: 9th Workshop on Models and Algorithms for Planning and Scheduling Problems, 29 June - 3 July 2009, Kerkrade, The Netherlands.

Navi, K., Foroutan, V., Rahimi Azghadi, M., Maeen, M., Ebrahimpour, M., Kaveh, M., and 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). pp. 1441-1448.

Kavehei, Omid, Rahimi Azghadi, Mostafa, Navi, Keivan, and Mirbaha, Amir-Pasha (2008) Design of robust and high-performance 1-bit CMOS Full Adder for nanometer design. In: Proceedings of the IEEE Computer Society Annual Symposium on VLSI. pp. 10-15. From: ISVLSI 08: IEEE Computer Society Annual Symposium on VLSI, 7-8 April 2008, Montpelier, France.

Adineh-Vand, A., Latif-Shabgahi, G., and Rahimi Azghadi, Mostafa (2008) Increasing testability in QCA circuits using a new test method. In: Proceedings of the 3rd International Design and Test Workshop. pp. 40-44. From: 2008 3rd International Design and Test Workshop, 20-22 December 2009, Monastir, Tunisia.

Farazkish, Razieh, Rahimi Azghadi, Mostafa, Navi, Keivan, and Haghparast, Majid (2008) New method for decreasing the number of quantum dot cells in QCA circuits. World Applied Sciences Journal, 4 (6). pp. 793-802.

Kazemi-Fard, Nazim, Ebrahimpour, Maryam, Rahimi, Mostafa, Tehrani, Mohammad, and Navi, Keivan (2008) Performance evaluation of in-circuit testing on QCA based circuits. In: Proceedings of the IEEE East-West Design & Test Symposium. pp. 375-378. From: EWDTS 08: IEEE East-West Design & Test Symposium, 9-12 October 2008, Lviv, Ukraine.

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.

Rahimi Azghadi, Mostafa, Bonyadi, Reza, Hashemi, Sara, and Moghadam, Mohsen Ebrahimi (2008) A hybrid multiprocessor task scheduling method based on immune genetic algorithm. In: Proceedings of the 5th International ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness. 56. From: QShine08: 5th International ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, 28-31 July 2008, Hong Kong.

Hashemi, Sara, Rahimi Azghadi, Mostafa, and Zakerolhosseini, Ali (2008) A novel QCA multiplexer design. In: Proceedings of the International Symposium on Telecommunications. pp. 692-696. From: IST 2008: International Symposium on Telecommunications, 27-28 August 2008, Tehran, Iran.

Rahimi Azghadi, S. Mostafa, Bonyadi, M. Reza, and Shah-Hosseini, Hamed (2007) Gender classification based on feedforward backpropagation neural network. In: Proceedings of the 4th IFIP International Conference on Artificial Intelligence Applications and Innovations. pp. 299-304. From: AIAI 2007: 4th IFIP International Conference on Artificial Intelligence Applications and Innovations, 19-21 September 2007, Athens, Greece.

Bonyadi, M.R., Azghadi, S.M.R., Rad, N.M., Navi, K., and Afjei, E. (2007) Logic optimization for majority gate-based nanoelectronic circuits based on genetic algorithm. In: Proceedings of the 2007 International Conference on Electrical Engineering. pp. 1-5. From: IEEE 07: International Conference on Electrical Engineering, 11-12 April 2007, Lahore, Pakistan.

Bonyadi, Mohammad Reza, Rahimi Azghadi, S. Mostafa, and Shah Hosseini, Hamed (2007) Solving Traveling Salesman Problem using combinational evolutionary algorithm. In: Proceedings of the 4th IFIP International Conference on Artificial Intelligence Applications and Innovations (247) pp. 37-44. From: AIAI 2007: 4th IFIP International Conference on Artificial Intelligence Applications and Innovations, 19-21 September 2007, Athens, Greece.

Rahimiazghadi, Mostafa, Kavehei, Omid, and Navi, Keivan (2007) A novel design for quantum-dot cellular automata cells and full adders. Journal of Applied Sciences, 7 (22). pp. 3460-3468.