A

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.

B

Bazaka, Kateryna, and Jacob, Mohan V. (2017) Effects of iodine doping on optoelectronic and chemical properties of polyterpenol thin films. Nanomaterials, 7 (1). pp. 1-16.

D

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

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.

H

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.

K

Kerrison, Steve, May, David, and Eder, Kerstin (2016) A Benes based NoC switching architecture for mixed criticality embedded systems. In: IEEE International Symposium on Embedded Multicore Socs (MCSoC). pp. 125-132. From: 2016 IEEE 10th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSOC), 21-23 September 2016, Lyon, France.

L

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.

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.

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.

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.

N

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.

R

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.

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.

S

Suhir, E. (2022) Predictive modeling sheds useful light on burn-in testing (BIT): Brief review and recent extension. Microelectronics Reliability, 128. 114371.

W

Wang, E., Attard, S., McGlinchey, M., Xiang, W., Philippa, B., Linton, A.L., and Everingham, Y. (2019) Smarter irrigation scheduling in the sugarcane farming system using the Internet of Things. In: Proceedings of the 41st Annual Conference of the Australian Society of Sugar Cane Technologists (41) pp. 164-170. From: ASSCT 2019: 41st Annual Conference of the Australian Society of Sugar Cane Technologists, 30 April - 3 May 2019, Toowoomba, QLD, Australia.

Wang, E., Attard, S., Everingham, Y., Philippa, B., and Xiang, W. (2018) Smarter irrigation management in the sugarcane farming system using internet of things. In: Proceedings of the 40th Annual Conference of the Australian Society of Sugar Cane Technologists (40) pp. 117-122. From: ASSCT 2018: 40th Annual Conference of the Australian Society of Sugar Cane Technologists, 17-20 April 2018, Mackay, QLD, Australia.

Z

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.

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.