Mostafa Rahimi Azghadi

发表

Emergent BCM via neuromorphic VLSI synapses with STDP

Mostafa Rahimi Azghadi, Said F. Al-Sarawi, Nicolangelo Iannella, 2011 .

Solving multi-processor task scheduling problem using a combinatorial evolutionary algorithm

Mostafa Rahimi Azghadi, Fariborz Parandin, Auob Adineh-Vand, 2009 .

Spike-Based Synaptic Plasticity in Silicon: Design, Implementation, Application, and Challenges

Mostafa Rahimi Azghadi, Derek Abbott, Giacomo Indiveri, 2014, Proceedings of the IEEE.

Novel VLSI implementation for triplet-based spike-timing dependent plasticity

Mostafa Rahimi Azghadi, Nicolangelo Iannella, Derek Abbott, 2011, 2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

Training Progressively Binarizing Deep Networks Using FPGAs pdf

Mostafa Rahimi Azghadi, Wei Xiang, Corey Lammie, 2020, ISCAS.

Programmable Spike-Timing-Dependent Plasticity Learning Circuits in Neuromorphic VLSI Architectures

Mostafa Rahimi Azghadi, Giacomo Indiveri, Daniel Bernhard Fasnacht, 2015, ACM J. Emerg. Technol. Comput. Syst..

Solving Traveling Salesman Problem Using Combinational Evolutionary Algorithm

Mostafa Rahimi Azghadi, Mohammad Reza Bonyadi, Hamed Shah-Hosseini, 2007, AIAI.

Accelerating Deterministic and Stochastic Binarized Neural Networks on FPGAs Using OpenCL

Mostafa Rahimi Azghadi, Wei Xiang, Corey Lammie, 2019, 2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS).

Design of Robust and High-Performance 1-Bit CMOS Full Adder for Nanometer Design

Mostafa Rahimi Azghadi, Omid Kavehei, Keivan Navi, 2008, 2008 IEEE Computer Society Annual Symposium on VLSI.

Gender Classification Based on FeedForward Backpropagation Neural Network

Mostafa Rahimi Azghadi, Mohammad Reza Bonyadi, Hamed Shah-Hosseini, 2007, AIAI.

DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning

Mostafa Rahimi Azghadi, Dmitry A. Konovalov, Bronson Philippa, 2018, Scientific Reports.

Live Demonstration: Unsupervised Character Recognition with a FPGA Neuromorphic System

Mostafa Rahimi Azghadi, Tara Julia Hamilton, Corey Lammie, 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).

A new compact analog VLSI model for Spike Timing Dependent Plasticity

Mostafa Rahimi Azghadi, Said F. Al-Sarawi, Nicolangelo Iannella, 2013, 2013 IFIP/IEEE 21st International Conference on Very Large Scale Integration (VLSI-SoC).

A new quantum-dot cellular automata full-adder

Mostafa Rahimi Azghadi, Keivan Navi, Samira Sayedsalehi, 2016, 2016 5th International Conference on Computer Science and Network Technology (ICCSNT).

A Novel Design for Quantum-dot Cellular Automata Cells and Full Adders pdf

Mostafa Rahimi Azghadi, Omid Kavehei, Keivan Navi, 2007, ArXiv.

Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications

Bernabe Linares-Barranco, Mostafa Rahimi Azghadi, Giacomo Indiveri, 2020, IEEE Transactions on Biomedical Circuits and Systems.

Programmable neuromorphic circuits for spike-based neural dynamics

Mostafa Rahimi Azghadi, Giacomo Indiveri, Saber Moradi, 2013, 2013 IEEE 11th International New Circuits and Systems Conference (NEWCAS).

An enhanced MOSFET threshold voltage model for the 6-300 K temperature range

Mostafa Rahimi Azghadi, Craig T. Jin, Philip Heng Wai Leong, 2017, Microelectron. Reliab..

Variation-aware Binarized Memristive Networks

Mostafa Rahimi Azghadi, Olga Krestinskaya, Corey Lammie, 2019, 2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS).

Restoring and non-restoring array divider designs in Quantum-dot Cellular Automata

Mostafa Rahimi Azghadi, Keivan Navi, Shaahin Angizi, 2015, Inf. Sci..

Accelerating Deterministic and Stochastic Binarized Neural Networks on FPGAs Using OpenCL pdf

Mostafa Rahimi Azghadi, Wei Xiang, Corey Lammie, 2019, ArXiv.

A hybrid multiprocessor task scheduling method based on immune genetic algorithm

Mostafa Rahimi Azghadi, Mohammad Reza Bonyadi, Mohsen Ebrahimi Moghaddam, 2008, QShine '08.

A novel low-power full-adder cell with new technique in designing logical gates based on static CMOS inverter

Mostafa Rahimi Azghadi, Omid Kavehei, Keivan Navi, 2009, Microelectron. J..

Unsupervised Character Recognition with a Simplified FPGA Neuromorphic System

Mostafa Rahimi Azghadi, Tara Julia Hamilton, Corey Lammie, 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).

Pairing frequency experiments in visual cortex reproduced in a neuromorphic STDP circuit

Mostafa Rahimi Azghadi, Said F. Al-Sarawi, Nicolangelo Iannella, 2013, 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems (ICECS).

Design and analysis of efficient QCA reversible adders

Mostafa Rahimi Azghadi, Keivan Navi, Sara Hashemi, 2018, The Journal of Supercomputing.

Design and implementation of BCM rule based on spike-timing dependent plasticity

Mostafa Rahimi Azghadi, Said F. Al-Sarawi, Nicolangelo Iannella, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Biologically Plausible Contrast Detection using a Memristor Array

Mostafa Rahimi Azghadi, Jason K. Eshraghian, Corey Lammie, 2020, International Symposium on Circuits and Systems.

Performance evaluation of In-Circuit Testing on QCA based circuits

Mostafa Rahimi Azghadi, Keivan Navi, Mohammad A. Tehrani, 2008, Proceedings of IEEE East-West Design & Test Symposium (EWDTS'08).

Modeling triplet spike-timing-dependent plasticity using memristive devices

Mostafa Rahimi Azghadi, Gholamreza Karimi, Soraya Aghnout, 2017 .

Low-Energy and Fast Spiking Neural Network For Context-Dependent Learning on FPGA

Mostafa Rahimi Azghadi, Melika Payvand, Hajar Asgari, 2020, IEEE Transactions on Circuits and Systems II: Express Briefs.

Affinity LCFCN: Learning to Segment Fish with Weak Supervision pdf

Mostafa Rahimi Azghadi, Alzayat Saleh, Issam Laradji, 2020, ArXiv.

Efficient design of triplet based Spike-Timing Dependent Plasticity

Mostafa Rahimi Azghadi, Said F. Al-Sarawi, Nicolangelo Iannella, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

MemTorch: A Simulation Framework for Deep Memristive Cross-Bar Architectures

Mostafa Rahimi Azghadi, Corey Lammie, M. Azghadi, 2020, 2020 IEEE International Symposium on Circuits and Systems (ISCAS).

CORDIC-SNN: On-FPGA STDP Learning with Izhikevich Neurons

Mostafa Rahimi Azghadi, Arash Ahmadi, Majid Ahmadi, 2020, 2020 IEEE International Symposium on Circuits and Systems (ISCAS).

Population-Based Optimization Algorithms for Solving the Travelling Salesman Problem

Mostafa Rahimi Azghadi, Mohammad Reza Bonyadi, Hamed Shah-Hosseini, 2008 .

MemTorch: An Open-source Simulation Framework for Memristive Deep Learning Systems pdf

Mostafa Rahimi Azghadi, Wei Xiang, Corey Lammie, 2020, ArXiv.

Five-Input Majority Gate, a New Device for Quantum-Dot Cellular Automata

Mostafa Rahimi Azghadi, Keivan Navi, Samira Sayedsalehi, 2010 .

Stochastic Computing for Low-Power and High-Speed Deep Learning on FPGA

Mostafa Rahimi Azghadi, Corey Lammie, 2019, 2019 IEEE International Symposium on Circuits and Systems (ISCAS).

Triplet-based spike-timing dependent plasticity in silicon

Mostafa Rahimi Azghadi, Said F. Al-Sarawi, Nicolangelo Iannella, 2011 .

A Hybrid CMOS-Memristor Neuromorphic Synapse

Bernabe Linares-Barranco, Mostafa Rahimi Azghadi, Derek Abbott, 2017, IEEE Transactions on Biomedical Circuits and Systems.

A neuromorphic VLSI design for spike timing and rate based synaptic plasticity

Mostafa Rahimi Azghadi, Nicolangelo Iannella, Derek Abbott, 2013, Neural Networks.

New analogue stop-learning control module using astrocyte for neuromorphic learning

Mostafa Rahimi Azghadi, Mahnaz Ranjbar, Gholamreza Karimi, 2020, IET Circuits Devices Syst..

Live Demonstration: Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge

Mostafa Rahimi Azghadi, Corey Lammie, 2020, ISCAS.

Internet of Underwater Things and Big Marine Data Analytics—A Comprehensive Survey pdf

Mostafa Rahimi Azghadi, Lajos Hanzo, Wei Xiang, 2020, IEEE Communications Surveys & Tutorials.

Memristive Stochastic Computing for Deep Learning Parameter Optimization

Mostafa Rahimi Azghadi, Wei D. Lu, Corey Lammie, 2021, IEEE Transactions on Circuits and Systems II: Express Briefs.

Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures pdf

Mostafa Rahimi Azghadi, Roman Genov, Amirali Amirsoleimani, 2022, 2022 IEEE International Symposium on Circuits and Systems (ISCAS).

Automated Machine Learning for Healthcare and Clinical Notes Analysis

Mostafa Rahimi Azghadi, Akram Mustafa, M. Azghadi, 2021, Comput..

Towards Memristive Deep Learning Systems for Real-Time Mobile Epileptic Seizure Prediction

Mostafa Rahimi Azghadi, Corey Lammie, Wei Xiang, 2021, 2021 IEEE International Symposium on Circuits and Systems (ISCAS).

A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images

Mostafa Rahimi Azghadi, Issam H. Laradji, Alzayat Saleh, 2021, IEEE Journal of Biomedical and Health Informatics.

New Method for Decreasing the Number of Quantum Dot Cells in QCA Circuits

Mostafa Rahimi Azghadi, Keivan Navi, Majid Haghparast, 2008 .