Laith Alzubaidi (0000-0002-7296-5413)

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LAITH ALZUBAIDI holds a Ph.D. degree in Computer Science\AI at Queensland University of Technology / Faculty of Science and Engineering, Brisbane, Australia. He received his Master’s degree in computer science from the University of Missouri/USA in 2016. He has been awarded two scholarships. He has published more than 40 refereed research papers. He is collaborating with other researchers around the world including the USA, UK, Spain, Australia, Malaysia. His research interests include Machine learning / Deep Learning for medical applications and IoT.

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Queensland University of Technology: Brisbane, QLD, AU

2018-07-16 to 2021-06-30 | PhD (Faculty of Science & Engineering)

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Laith Alzubaidi

https://orcid.org/0000-0002-7296-5413

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Education and qualifications (2)

Queensland University of Technology: Brisbane, QLD, AU

University of Missouri Columbia: Columbia, MO, US

Works (50 of 77)

ATD Learning: A secure, smart, and decentralised learning method for big data environments

Artificial intelligence based-improving reservoir management: An Attention-Guided Fusion Model for predicting injector–producer connectivity

FracNet: An end-to-end deep learning framework for bone fracture detection

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

Investigating imperceptibility of adversarial attacks on tabular data: An empirical analysis

A Scalable and Generalised Deep Learning Framework for Anomaly Detection in Surveillance Videos

Evolving cybersecurity frontiers: A comprehensive survey on concept drift and feature dynamics aware machine and deep learning in intrusion detection systems

Prioritizing complex health levels beyond autism triage using fuzzy multi-criteria decision-making

Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion

Generalisable deep Learning framework to overcome catastrophic forgetting

Unmasking large language models by means of OpenAI GPT-4 and Google AI: A deep instruction-based analysis

Comprehensive systematic review of information fusion methods in smart cities and urban environments

MEFF – A model ensemble feature fusion approach for tackling adversarial attacks in medical imaging

A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations

Enhancing Sensor Data Imputation: OWA-Based Model Aggregation for Missing Values

Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review

Reliable deep learning framework for the ground penetrating radar data to locate the horizontal variation in levee soil compaction

A Trustworthy and Explainable Framework for Benchmarking Hybrid Deep Learning Models Based on Chest X-Ray Analysis in CAD Systems

Real-time diabetic foot ulcer classification based on deep learning & parallel hardware computational tools

A physics-informed neural network technique based on a modified loss function for computational 2D and 3D solid mechanics

A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications

A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion

An Introduction to Programming Physics-Informed Neural Network-Based Computational Solid Mechanics

Physics-informed radial basis network (PIRBN): A local approximating neural network for solving nonlinear partial differential equations

Physics-informed radial basis network (PIRBN): A local approximating neural network for solving nonlinear PDEs

Enhanced MIMO CSI Estimation Using ACCPM with Limited Feedback

Novel Deep Feature Fusion Framework for Multi-Scenario Violence Detection

Deep Transfer Learning with Enhanced Feature Fusion for Detection of Abnormalities in X-ray Images

Parallel processing of E-Atheer algorithm using pthread paradigm

A Deep Feature Fusion of Improved Suspected Keratoconus Detection with Deep Learning

A Systematic Review of Using Deep Learning Technology in the Steady-State Visually Evoked Potential-Based Brain-Computer Interface Applications: Current Trends and Future Trust Methodology

Automatic Clustering and Classification of Coffee Leaf Diseases Based on an Extended Kernel Density Estimation Approach

Enhanced Intrusion Detection with Data Stream Classification and Concept Drift Guided by the Incremental Learning Genetic Programming Combiner

Robust Classification and Detection of Big Medical Data Using Advanced Parallel K-Means Clustering, YOLOv4, and Logistic Regression

Intelligent Emotion and Sensory Remote Prioritisation for Patients with Multiple Chronic Diseases

Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements

A Concise Review on Deep Learning for Musculoskeletal X-ray Images

An introduction to programming Physics-Informed Neural Network-based computational solid mechanics

Automated masks generation for coffee and apple leaf infected with single or multiple diseases-based color analysis approaches

Utilising physics-guided deep learning to overcome data scarcity

Review on Deep Learning Approaches for Anomaly Event Detection in Video Surveillance

Robust application of new deep learning tools: an experimental study in medical imaging

Face Recognition Based on Deep Learning and FPGA for Ethnicity Identification

A deep convolutional neural network model for multi-class fruits classification

Comparison of hybrid convolutional neural networks models for diabetic foot ulcer classification

Deepening into the suitability of using pre-trained models of ImageNet against a lightweight convolutional neural network in medical imaging: an experimental study

Efficient data transmission and remote monitoring system for IoT applications

Hardware accelerator for real-time holographic projector

MedNet: Pre-trained convolutional neural network model for the medical imaging tasks

Solving lorenz ODE system based hardware booster

Peer review (118 reviews for 44 publications/grants)