Mohammad Ali Moni

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Senior Lecturer/UQ Senior RSP fellow

University of Queensland

Australia

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About

Mohammad Ali Moni is a Senior Lecturer and UQ Senior RSP Fellow at The University of Queensland, Australia. His research focuses on deep learning applications in healthcare, including the classification of Alzheimer's disease, automated handwritten character recognition, and lung cancer diagnosis. He has published extensively on topics related to both acute and chronic care needs, vaccination coverage trends, and the burden of nontraumatic subarachnoid hemorrhage.

Recent Grants

Grant: Close

Statistical Bioinformatics and Machine-Learning Methods for Diagnosis and Prognosis of ovarian cancer empowered by integrated Next Generation Sequencing (NGS)

Open Date: 2017-12-01

Close Date: 2020-11-01

Grant: Close

The Garvan Research Foundation & Ridley Corporation award

Open Date: 2016-01-01

Close Date: 2017-01-01

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Collaborators (49)

Francis M. Bui

University of Saskatchewan

CANADA

Mohammad Ali Moni

Research Interests

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Contact this professor

About

Recent Grants

Articles (30)

Global, Regional, and National Burden of Nontraumatic Subarachnoid Hemorrhage

Characterising acute and chronic care needs

ADeepWeeD

Global, regional, and national trends in routine childhood vaccination coverage from 1980 to 2023 with forecasts to 2030

Diabetic kidney disease in rural Australia

K-SNOpred

A Vision Transformer-Based Hybrid Neural Architecture for Automated Handwritten Bangla Character Recognition and Braille Conversion

BitterEN

Novel deep learning for multi-class classification of Alzheimer’s in disability using MRI datasets

LungCT-NET: An explainable transfer learning-based robust ensemble model for lung cancer diagnosis

The relationship between hair cortisol concentration and autism diagnosis

Automated Detection of Harmful Insects in Agriculture: A Smart Framework Leveraging IoT, Machine Learning, and Blockchain

Global, regional, and national burden of gout, 1990–2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021

Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction

Prediction of white blood cell count during exercise

Road networks and socio-demographic factors to explore COVID-19 infection during its different waves

Advancing thyroid care

Trends and levels of the global, regional, and national burden of appendicitis between 1990 and 2021

ASDNet: A robust involution‐based architecture for diagnosis of autism spectrum disorder utilising eye‐tracking technology

An effective screening of COVID‐19 pneumonia by employing chest X‐ray segmentation and attention‐based ensembled classification

An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning

Cancer Classification Utilizing Voting Classifier with Ensemble Feature Selection Method and Transcriptomic Data

A machine learning approach for risk factors analysis and survival prediction of Heart Failure patients

Development and performance analysis of machine learning methods for predicting depression among menopausal women

FP-CNN: Fuzzy pooling-based convolutional neural network for lung ultrasound image classification with explainable AI

A robust and clinically applicable deep learning model for early detection of Alzheimer's

An integrated complete-genome sequencing and systems biology approach to predict antimicrobial resistance genes in the virulent bacterial strains of Moraxella catarrhalis

A Comparison of Machine Learning Techniques for the Detection of Type-2 Diabetes Mellitus: Experiences from Bangladesh

Ensemble Learning for Disease Prediction: A Review

A Novel Hybrid Approach for Classifying Osteosarcoma Using Deep Feature Extraction and Multilayer Perceptron

Collaborators (49)

Francis M. Bui

Tomasz Miazgowski

Daniel Munblit

Markus Schlaich

Sami Azam

Giuseppe Gorini

Kedir Yimam Ahmed

Muhammad Ashad Kabir

Valsamma Eapen

Theophilus Emeto

AKM Azad

Avirup Guha

Khondokar Fida Hasan

Atte Meretoja

Alexander G Mathioudakis

Anne Masi

Muhammad J. A. Shiddiky

Dr Danish Ahmad

Norma Bulamu

Md Anwarul Kaium Patwary

Kwanghyun Kim

Md. Obaidur Rahman

Bibha Dhungel

Tuomo Meretoja

Paul Ward

Rahman Shiri

Estie Kruger

Jing Sun

Shakeel Mahmood

Miikka Korja

Garland Culbreth

Husam Qanash

Shahadat Uddin

Muhammad Chutiyami

Oyelola ADEGBOYE

Haohui Lu

Sunil Aryal

Kawsar Ahmed

ALI AHMED

Meg Morris

Dr Gea Rahman

Christopher R. Cederroth