Mostafa Rahimi Azghadi

According to our database, Mostafa Rahimi Azghadi authored at least 87 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

How to track and segment fish without human annotations: a self-supervised deep learning approach.

Alzayat Saleh, Marcus Sheaves, Dean R. Jerry, Mostafa Rahimi Azghadi

Pattern Anal. Appl., March, 2024

Applications of deep learning in fish habitat monitoring: A tutorial and survey.

Alzayat Saleh, Marcus Sheaves, Dean R. Jerry, Mostafa Rahimi Azghadi

Expert Syst. Appl., March, 2024

NADOL: Neuromorphic Architecture for Spike-Driven Online Learning by Dendrites.

Shuangming Yang, Haowen Wang, Yanwei Pang, Mostafa Rahimi Azghadi, Bernabé Linares-Barranco

IEEE Trans. Biomed. Circuits Syst., February, 2024

Unsupervised character recognition with graphene memristive synapses.

Ben Walters, Corey Lammie, Shuangming Yang, Mohan V. Jacob, Mostafa Rahimi Azghadi

Neural Comput. Appl., February, 2024

WALLAX: A memristor-based Gaussian random number generator.

Xuening Dong, Amirali Amirsoleimani, Mostafa Rahimi Azghadi, Roman Genov

Neurocomputing, January, 2024

ShadowRemovalNet: Efficient Real-Time Shadow Removal.

Alzayat Saleh, Alex Olsen, Jake C. Wood, Bronson Philippa, Mostafa Rahimi Azghadi

CoRR, 2024

Stress Monitoring Using Low-Cost Electroencephalogram Devices: A Systematic Literature Review.

Gideon Vos, Maryam Ebrahimpour, Liza van Eijk, Zoltan Sarnyai, Mostafa Rahimi Azghadi

CoRR, 2024

Precise Robotic Weed Spot-Spraying for Reduced Herbicide Usage and Improved Environmental Outcomes - A Real-World Case Study.

Mostafa Rahimi Azghadi, Alex Olsen, Jake C. Wood, Alzayat Saleh, Brendan Calvert, Terry Granshaw, Emilie Fillols, Bronson Philippa

CoRR, 2024

2023

Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices.

Gideon Vos, Kelly Trinh, Zoltan Sarnyai, Mostafa Rahimi Azghadi

J. Biomed. Informatics, December, 2023

Spike Timing Dependent Gradient for Direct Training of Fast and Efficient Binarized Spiking Neural Networks.

Zhengyu Cai, Hamid Rahimian Kalatehbali, Ben Walters, Mostafa Rahimi Azghadi, Amirali Amirsoleimani, Roman Genov

IEEE J. Emerg. Sel. Topics Circuits Syst., December, 2023

Semi-supervised and weakly-supervised deep neural networks and dataset for fish detection in turbid underwater videos.

Mohammad Jahanbakht, Mostafa Rahimi Azghadi, Nathan J. Waltham

Ecol. Informatics, December, 2023

Security and privacy problems in voice assistant applications: A survey.

Jingjin Li, Chao Chen, Mostafa Rahimi Azghadi, Hossein Ghodosi, Lei Pan, Jun Zhang

Comput. Secur., November, 2023

A Review of Graphene-Based Memristive Neuromorphic Devices and Circuits.

Ben Walters, Mohan V. Jacob, Amirali Amirsoleimani, Mostafa Rahimi Azghadi

Adv. Intell. Syst., October, 2023

Efficient Memristive Stochastic Differential Equation Solver.

Xuening Dong, Louis Primeau, Roman Genov, Mostafa Rahimi Azghadi, Amirali Amirsoleimani

Adv. Intell. Syst., August, 2023

Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review.

Gideon Vos, Kelly Trinh, Zoltan Sarnyai, Mostafa Rahimi Azghadi

Int. J. Medical Informatics, May, 2023

Simulation of memristive crossbar arrays for seizure detection and prediction using parallel Convolutional Neural Networks.

Chenqi Li, Corey Lammie, Amirali Amirsoleimani, Mostafa Rahimi Azghadi, Roman Genov

Softw. Impacts, March, 2023

WeedCLR: Weed Contrastive Learning through Visual Representations with Class-Optimized Loss in Long-Tailed Datasets.

Alzayat Saleh, Alex Olsen, Jake C. Wood, Bronson Philippa, Mostafa Rahimi Azghadi

CoRR, 2023

V2X Cooperative Perception for Autonomous Driving: Recent Advances and Challenges.

Tao Huang, Jianan Liu, Xi Zhou, Dinh C. Nguyen, Mostafa Rahimi Azghadi, Yuxuan Xia, Qing-Long Han, Sumei Sun

CoRR, 2023

Prawn Morphometrics and Weight Estimation from Images using Deep Learning for Landmark Localization.

Alzayat Saleh, Md Mehedi Hasan, Herman W. Raadsma, Mehar S. Khatkar, Dean R. Jerry, Mostafa Rahimi Azghadi

CoRR, 2023

Security and Privacy Problems in Voice Assistant Applications: A Survey.

Jingjin Li, Chao Chen, Lei Pan, Mostafa Rahimi Azghadi, Hossein Ghodosi, Jun Zhang

CoRR, 2023

High-Performance and Energy-Efficient Leaky Integrate-and-Fire Neuron and Spike Timing-Dependent Plasticity Circuits in 7nm FinFET Technology.

Mohammad Khaleqi Qaleh Jooq, Mostafa Rahimi Azghadi, Fereshteh Behbahani, Alaaddin Al-Shidaifat, Hanjung Song

IEEE Access, 2023

SSCAE: A Neuromorphic SNN Autoencoder for sc-RNA-seq Dimensionality Reduction.

Tim Zhang, Amirali Amirsoleimani, Jason K. Eshraghian, Mostafa Rahimi Azghadi, Roman Genov, Yu Xia

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Evolutionary Optimization of Neuromorphic Architecture for Low-power Cerebellum Prosthetic Instrumentation and Device in Biomedical Systems.

Shuangming Yang, Haowen Wang, Mostafa Rahimi Azghadi

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

MEDSA: A Memristive-passive Delta-Sigma ADC Circuit for Detecting Neural Signals.

Hao You, Jianxiong Xu, Amirali Amirsoleimani, Mostafa Rahimi Azghadi, Roman Genov

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

STDG: Fast and Lightweight SNN Training Technique Using Spike Temporal Locality.

Zhengyu Cai, Hamid Rahimian Kalatehbali, Ben Walters, Mostafa Rahimi Azghadi, Amirali Amirsoleimani, Roman Genov

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

2022

CerebelluMorphic: Large-Scale Neuromorphic Model and Architecture for Supervised Motor Learning.

Shuangming Yang, Jiang Wang, Nan Zhang, Bin Deng, Yanwei Pang, Mostafa Rahimi Azghadi

IEEE Trans. Neural Networks Learn. Syst., 2022

Neuromorphic Context-Dependent Learning Framework With Fault-Tolerant Spike Routing.

Shuangming Yang, Jiang Wang, Bin Deng, Mostafa Rahimi Azghadi, Bernabé Linares-Barranco

IEEE Trans. Neural Networks Learn. Syst., 2022

Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks.

Chenqi Li, Corey Lammie, Xuening Dong, Amirali Amirsoleimani, Mostafa Rahimi Azghadi, Roman Genov

IEEE Trans. Biomed. Circuits Syst., 2022

Sediment Prediction in the Great Barrier Reef using Vision Transformer with finite element analysis.

Mohammad Jahanbakht, Wei Xiang, Mostafa Rahimi Azghadi

Neural Networks, 2022

Sea Surface Temperature Forecasting With Ensemble of Stacked Deep Neural Networks.

Mohammad Jahanbakht, Wei Xiang, Mostafa Rahimi Azghadi

IEEE Geosci. Remote. Sens. Lett., 2022

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

Corey Lammie, Wei Xiang, Bernabé Linares-Barranco, Mostafa Rahimi Azghadi

Neurocomputing, 2022

Nitrogen prediction in the Great Barrier Reef using finite element analysis with deep neural networks.

Mohammad Jahanbakht, Wei Xiang, Barbara J. Robson, Mostafa Rahimi Azghadi

Environ. Model. Softw., 2022

Adaptive Uncertainty Distribution in Deep Learning for Unsupervised Underwater Image Enhancement.

Alzayat Saleh, Marcus Sheaves, Dean R. Jerry, Mostafa Rahimi Azghadi

CoRR, 2022

Machine Learning for Stress Monitoring from Wearable Devices: A Systematic Literature Review.

Gideon Vos, Kelly Trinh, Zoltan Sarnyai, Mostafa Rahimi Azghadi

CoRR, 2022

A lightweight Transformer-based model for fish landmark detection.

Alzayat Saleh, David Jones, Dean R. Jerry, Mostafa Rahimi Azghadi

CoRR, 2022

Unsupervised Fish Trajectory Tracking and Segmentation.

Alzayat Saleh, Marcus Sheaves, Dean R. Jerry, Mostafa Rahimi Azghadi

CoRR, 2022

Transformer-based Self-Supervised Fish Segmentation in Underwater Videos.

Alzayat Saleh, Marcus Sheaves, Dean R. Jerry, Mostafa Rahimi Azghadi

CoRR, 2022

Computer Vision and Deep Learning for Fish Classification in Underwater Habitats: A Survey.

Alzayat Saleh, Marcus Sheaves, Mostafa Rahimi Azghadi

CoRR, 2022

Modeling and simulating in-memory memristive deep learning systems: An overview of current efforts.

Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi

Array, 2022

Distributed Deep Learning and Energy-Efficient Real-Time Image Processing at the Edge for Fish Segmentation in Underwater Videos.

Mohammad Jahanbakht, Wei Xiang, Nathan J. Waltham, Mostafa Rahimi Azghadi

IEEE Access, 2022

Toward A Formalized Approach for Spike Sorting Algorithms and Hardware Evaluation.

Tim Zhang, Corey Lammie, Mostafa Rahimi Azghadi, Amirali Amirsoleimani, Majid Ahmadi, Roman Genov

Proceedings of the 65th IEEE International Midwest Symposium on Circuits and Systems, 2022

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

Corey Lammie, Jason Kamran Eshraghian, Chenqi Li, Amirali Amirsoleimani, Roman Genov, Wei D. Lu, Mostafa Rahimi Azghadi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

In-Memory Memristive Transformation Stage of Gaussian Random Number Generator.

Xuening Dong, Amirali Amirsoleimani, Mostafa Rahimi Azghadi, Roman Genov

Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022

Navigating Local Minima in Quantized Spiking Neural Networks.

Jason Kamran Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi, Wei D. Lu

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021

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

Alzayat Saleh, Issam H. Laradji, Corey Lammie, David Vázquez, Carol A. Flavell, Mostafa Rahimi Azghadi

IEEE J. Biomed. Health Informatics, 2021

Memristive Stochastic Computing for Deep Learning Parameter Optimization.

Corey Lammie, Jason Kamran Eshraghian, Wei D. Lu, Mostafa Rahimi Azghadi

IEEE Trans. Circuits Syst. II Express Briefs, 2021

Internet of Underwater Things and Big Marine Data Analytics - A Comprehensive Survey.

Mohammad Jahanbakht, Wei Xiang, Lajos Hanzo, Mostafa Rahimi Azghadi

IEEE Commun. Surv. Tutorials, 2021

Automated Machine Learning for Healthcare and Clinical Notes Analysis.

Akram Mustafa, Mostafa Rahimi Azghadi

Comput., 2021

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

Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

2020

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

Hajar Asgari, Babak Mazloom-Nezhad Maybodi, Melika Payvand, Mostafa Rahimi Azghadi

IEEE Trans. Circuits Syst., 2020

Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications.

Mostafa Rahimi Azghadi, Corey Lammie, Jason Kamran Eshraghian, Melika Payvand, Elisa Donati, Bernabé Linares-Barranco, Giacomo Indiveri

IEEE Trans. Biomed. Circuits Syst., 2020

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

Milad Almasi, Gholamreza Karimi, Mahnaz Ranjbar, Mostafa Rahimi Azghadi

IET Circuits Devices Syst., 2020

Affinity LCFCN: Learning to Segment Fish with Weak Supervision.

Issam H. Laradji, Alzayat Saleh, Pau Rodríguez, Derek Nowrouzezahrai, Mostafa Rahimi Azghadi, David Vázquez

CoRR, 2020

Complementary Metal-Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing.

Mostafa Rahimi Azghadi, Ying-Chen Chen, Jason Kamran Eshraghian, Jia Chen, Chih-Yang Lin, Amirali Amirsoleimani, Adnan Mehonic, Anthony J. Kenyon, Burt Fowler, Jack C. Lee, Yao-Feng Chang

Adv. Intell. Syst., 2020

Training Progressively Binarizing Deep Networks using FPGAs.

Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

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

Corey Lammie, Mostafa Rahimi Azghadi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

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

Corey Lammie, Mostafa Rahimi Azghadi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Biologically Plausible Contrast Detection using a Memristor Array.

Jason Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019

Design and analysis of efficient QCA reversible adders.

Sara Hashemi, Mostafa Rahimi Azghadi, Keivan Navi

J. Supercomput., 2019

Efficient FPGA Implementations of Pair and Triplet-Based STDP for Neuromorphic Architectures.

Corey Lammie, Tara Julia Hamilton, André van Schaik, Mostafa Rahimi Azghadi

IEEE Trans. Circuits Syst. I Regul. Pap., 2019

CORDIC-SNN: On-FPGA STDP Learning With Izhikevich Neurons.

Moslem Heidarpur, Arash Ahmadi, Majid Ahmadi, Mostafa Rahimi Azghadi

IEEE Trans. Circuits Syst. I Regul. Pap., 2019

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

Corey Lammie, Alex Olsen, Tony Carrick, Mostafa Rahimi Azghadi

IEEE Access, 2019

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

Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi

Proceedings of the 62nd IEEE International Midwest Symposium on Circuits and Systems, 2019

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

Corey Lammie, Mostafa Rahimi Azghadi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Variation-aware Binarized Memristive Networks.

Corey Lammie, Olga Krestinskaya, Alex Pappachen James, Mostafa Rahimi Azghadi

Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019

2018

DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning.

Alex Olsen, Dmitry A. Konovalov, Bronson Philippa, Peter Ridd, Jake C. Wood, Jamie Johns, Wesley Banks, Benjamin Girgenti, Owen Kenny, James Whinney, Brendan Calvert, Mostafa Rahimi Azghadi, Ronald D. White

CoRR, 2018

Unsupervised Character Recognition with a Simplified FPGA Neuromorphic System.

Corey Lammie, Tara Julia Hamilton, Mostafa Rahimi Azghadi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Live Demonstration: Unsupervised Character Recognition with a FPGA Neuromorphic System.

Corey Lammie, Tara Julia Hamilton, Mostafa Rahimi Azghadi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

2017

A Hybrid CMOS-Memristor Neuromorphic Synapse.

Mostafa Rahimi Azghadi, Bernabé Linares-Barranco, Derek Abbott, Philip Heng Wai Leong

IEEE Trans. Biomed. Circuits Syst., 2017

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

Cong Nguyen Dao, Abdallah El Kass, Mostafa Rahimi Azghadi, Craig T. Jin, Jonathan Scott, Philip Heng Wai Leong

Microelectron. Reliab., 2017

2015

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

Mostafa Rahimi Azghadi, Saber Moradi, Daniel Bernhard Fasnacht, Mehmet Sirin Ozdas, Giacomo Indiveri

ACM J. Emerg. Technol. Comput. Syst., 2015

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

Samira Sayedsalehi, Mostafa Rahimi Azghadi, Shaahin Angizi, Keivan Navi

Inf. Sci., 2015

2014

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

Mostafa Rahimi Azghadi, Nicolangelo Iannella, Said F. Al-Sarawi, Giacomo Indiveri, Derek Abbott

Proc. IEEE, 2014

2013

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

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

Neural Networks, 2013

A new compact analog VLSI model for Spike Timing Dependent Plasticity.

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

Proceedings of the 21st IEEE/IFIP International Conference on VLSI and System-on-Chip, 2013

Programmable neuromorphic circuits for spike-based neural dynamics.

Mostafa Rahimi Azghadi, Saber Moradi, Giacomo Indiveri

Proceedings of the IEEE 11th International New Circuits and Systems Conference, 2013

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

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

Proceedings of the 20th IEEE International Conference on Electronics, 2013

2012

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

Mostafa Rahimi Azghadi, Omid Kavehei, Keivan Navi

CoRR, 2012

Efficient design of triplet based Spike-Timing Dependent Plasticity.

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

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

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

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

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2010

A new quantum-dot cellular automata full-adder.

Keivan Navi, Razieh Farazkish, Samira Sayedsalehi, Mostafa Rahimi Azghadi

Microelectron. J., 2010

2009

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

Keivan Navi, Vahid Foroutan, Mostafa Rahimi Azghadi, Mehrdad Maeen, Maryam Ebrahimpour, M. Kaveh, Omid Kavehei

Microelectron. J., 2009

2008

A hybrid multiprocessor task scheduling method based on immune genetic algorithm.

Mostafa Rahimi Azghadi, Mohammad Reza Bonyadi, Sara Hashemi, Mohsen Ebrahimi Moghaddam

Proceedings of the 5th International ICST Conference on Heterogeneous Networking for Quality, 2008

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

Omid Kavehei, Mostafa Rahimi Azghadi, Keivan Navi, Amir-Pasha Mirbaha

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2008

Performance evaluation of In-Circuit Testing on QCA based circuits.

Nasim Kazemifard, Maryam Ebrahimpour, Mostafa Rahimi Azghadi, Mohammad A. Tehrani, Keivan Navi

Proceedings of the 2008 East-West Design & Test Symposium, 2008

2007

Solving Traveling Salesman Problem Using Combinational Evolutionary Algorithm.

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

Proceedings of the Artificial Intelligence and Innovations 2007: from Theory to Applications, 2007

Gender Classification Based on FeedForward Backpropagation Neural Network.

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

Proceedings of the Artificial Intelligence and Innovations 2007: from Theory to Applications, 2007