Mostafa Rahimi Azghadi
Mostafa Rahimi Azghadi
Senior Lecturer, Electronic & Computer Engineering; Head, Neural Inspired Computing and Engineering
Verified email at - Homepage
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A new quantum-dot cellular automata full-adder
K Navi, R Farazkish, S Sayedsalehi, MR Azghadi
Microelectronics Journal 41 (12), 820-826, 2010
Five-input majority gate, a new device for quantum-dot cellular automata
K Navi, S Sayedsalehi, R Farazkish, MR Azghadi
Journal of Computational and Theoretical Nanoscience 7 (8), 1546-1553, 2010
A novel design for quantum-dot cellular automata cells and full adders
MR Azghadi, O Kavehei, K Navi
Journal of Applied Sciences 7 (22), 3460-3468, 2007
DeepWeeds: A multiclass weed species image dataset for deep learning
A Olsen, DA Konovalov, B Philippa, P Ridd, JC Wood, J Johns, W Banks, ...
Scientific reports 9 (1), 1-12, 2019
Spike-based synaptic plasticity in silicon: design, implementation, application, and challenges
MR Azghadi, N Iannella, SF Al-Sarawi, G Indiveri, D Abbott
Proceedings of the IEEE 102 (5), 717-737, 2014
Population-Based Optimization Algorithms for Solving the Travelling Salesman Problem
MR Bonyadi, MR Azghadi, H Shah-hosseini
Traveling Salesman Problem, 1-34, 2008
A hybrid cmos-memristor neuromorphic synapse
MR Azghadi, B Linares-Barranco, D Abbott, PHW Leong
IEEE transactions on biomedical circuits and systems 11 (2), 434-445, 2017
A novel low-power full-adder cell with new technique in designing logical gates based on static CMOS inverter
K Navi, V Foroutan, MR Azghadi, M Maeen, M Ebrahimpour, M Kaveh, ...
Microelectronics Journal 40 (10), 1441-1448, 2009
Restoring and non-restoring array divider designs in quantum-dot cellular automata
S Sayedsalehi, MR Azghadi, S Angizi, K Navi
Information sciences 311, 86-101, 2015
Complementary Metal‐Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing
M Rahimi Azghadi, YC Chen, JK Eshraghian, J Chen, CY Lin, ...
Advanced Intelligent Systems, 1900189, 2020
Internet of Underwater Things and Big Marine Data Analytics—A Comprehensive Survey
M Jahanbakht, W Xiang, L Hanzo, M Rahimi Azghadi
IEEE Communications Surveys & Tutorials, 2021
Logic optimization for majority gate-based nanoelectronic circuits based on genetic algorithm
MR Bonyadi, SMR Azghadi, NM Rad, K Navi, E Afjei
2007 International Conference on Electrical Engineering, 1-5, 2007
CerebelluMorphic: Large-Scale Neuromorphic Model and Architecture for Supervised Motor Learning
S Yang, J Wang, N Zhang, B Deng, Y Pang, MR Azghadi
IEEE transactions on neural networks and learning systems, 2021
A novel QCA multiplexer design
S Hashemi, MR Azghadi, A Zakerolhosseini
2008 International Symposium on Telecommunications, 692-696, 2008
Hardware implementation of deep network accelerators towards healthcare and biomedical applications
MR Azghadi, C Lammie, JK Eshraghian, M Payvand, E Donati, ...
IEEE Transactions on Biomedical Circuits and Systems 14 (6), 1138-1159, 2020
Design of robust and high-performance 1-bit CMOS Full Adder for nanometer design
O Kavehei, MR Azghadi, K Navi, AP Mirbaha
Symposium on VLSI, 2008. ISVLSI'08. IEEE Computer Society Annual, 10-15, 2008
Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge.
C Lammie, A Olsen, T Carrick, MR Azghadi
IEEE Access 7, 51171-51184, 2019
A neuromorphic VLSI design for spike timing and rate based synaptic plasticity
MR Azghadi, S Al-Sarawi, D Abbott, N Iannella
Neural Networks 45, 70-82, 2013
CORDIC-SNN: On-FPGA STDP learning with izhikevich neurons
M Heidarpur, A Ahmadi, M Ahmadi, MR Azghadi
IEEE Transactions on Circuits and Systems I: Regular Papers 66 (7), 2651-2661, 2019
New method for decreasing the number of quantum dot cells in QCA circuits
R Farazkish, MR Azghadi, K Navi, M Haghparast
World Applied Sciences Journal 6, 793-802, 2008
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