Dr Mohammad Ali Moni
Dr

Mohammad Ali Moni

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Background

Dr Moni holds a PhD in Artificial Intelligence & Data Science in 2014 from the University of Cambridge, UK followed by postdoctoral training at the University of New South Wales, University of Sydney Vice-chancellor fellowship, and Senior Data Scientist at the University of Oxford. Dr Moni then joined UQ in 2021. He also worked as an assistant professor and lecturer in two universities (PUST and JKKNIU) from 2007 to 2011. He is an Artificial Intelligence, Computer Vision & Machine learning, Digital Health Data Science, Health Informatics and Bioinformatics researcher developing interpretable and clinical applicable machine learning and deep learning models to increase the performance and transparency of AI-based automated decision-making systems.

His research interests include quantifying and extracting actionable knowledge from data to solve real-world problems and giving humans explainable AI models through feature visualisation and attribution methods. He has applied these techniques to various multi-disciplinary applications such as medical imaging including stroke MRI/fMRI imaging, real-time cancer imaging. He led and managed significant research programs in developing machine-learning, deep-learning and translational data science models, and software tools to aid the diagnosis and prediction of disease outcomes, particularly for hard-to-manage complex and chronic diseases. His research interest also includes developing Data Science, machine learning and deep learning algorithms, models and software tools utilising different types of data, especially medical images, neuroimaging (MRI, fMRI, Ultrasound, X-Ray), EEG, ECG, Bioinformatics, and secondary usage of routinely collected data.

  • I am currently recruiting graduate students. Check out Available Projects for details. Open to both Domestic and International students.

Availability

Dr Mohammad Ali Moni is:
Available for supervision

Fields of research

Applications in life sciences Applied computing Artificial intelligence Biological Sciences Biomedical and Clinical Sciences Biomedical engineering Cardiovascular medicine and haematology Clinical sciences Cognitive and computational psychology Computer vision and multimedia computation Cybersecurity and privacy Data management and data science Distributed computing and systems software Engineering Health Sciences Human-centred computing Information and Computing Sciences Informetrics Library and information studies Machine learning Medical biotechnology Mobile computing Nanotechnology Neurosciences Other engineering Psychology Sports science and exercise

Qualifications

  • Doctor of Philosophy, University of Cambridge

Research interests

  • Artificial Intelligence, Computer Vision, Machine Learning, Deep-Learning

  • Medical Imaging, Medical Image Analysis, Neuro Imaging

  • Digital Health, Data Science, Health Informatics, Clinical Informatics

  • Data Mining, Text Mining, Natural Language Processing

  • Bioinformatics, Systems Biology, Computational Biology

Research impacts

During the last 5 years he has puvblished over 200 journal articles in many top tier journals including The Lancet, Jama Oncology. The impact of his research is evidenced by the high number of citations to his work (>12000 citations, i10-index 157 and an h-index of 50 according to Google Scholar), received $1.89 M as CI-A (8.9 M total) and awards including :

  • Best Impact Award in International Conference on Applied Intelligence and Informatics, UK July 30-31, 2021
  • University of Wollongong Engineering & information science Distinguished Early Career Fellowship.2019-2020
  • Certara-Monash Fellowship Awarded ($2,00,000), Certara Australia Pty. Ltd, 2019
  • Seed funding from two companies Karte Ltd (Japan) and iHealthOmics Ltd (Hong Kong) to develop AI-based health-care related software products. Received seed funding ($40,000) from Karte Ltd. 2018-2020
  • USyd DVC Research Fellowship ($50,000), University of Sydney2017-2020
  • The Ridley Ken Davies Award ($50,000)-- utilising the research data obtained through Dubbo Osteoporosis Epidemiological Study, Ridley Corporation, Australia 2016
  • Travel award to attend ANZBMS Conference, Australia, 2016
  • Best student paper award in international conference- IDBSS2014, UK2014
  • Travel award to attend NIMBioS Modeling, University of Tennessee, USA. 2013
  • The Cambridge Commonwealth, European & International Trust award, The Commonwealth Trust, UK 2011

Search Professor Mohammad Ali Moni’s works on UQ eSpace

387 works between 2012 and 2025
All (387) Journal Article (331) Book Chapter (4) Conference Publication (51) Book (1)

1 - 20 of 387 works

2025

Journal Article

ADeepWeeD: An adaptive deep learning framework for weed species classification

Rahman, Md Geaur, Rahman, Md Anisur, Parvez, Mohammad Zavid, Patwary, Md Anwarul Kaium, Ahamed, Tofael, Fleming-Muñoz, David A., Aloteibi, Saad and Moni, Mohammad Ali (2025). ADeepWeeD: An adaptive deep learning framework for weed species classification. Artificial Intelligence in Agriculture, 15 (4), 590-609. doi: 10.1016/j.aiia.2025.04.009

ADeepWeeD: An adaptive deep learning framework for weed species classification

2025

Journal Article

Characterising acute and chronic care needs: insights from the Global Burden of Disease Study 2019

Zuniga, Yves Miel H., Zumla, Alimuddin, Zuhlke, Liesl J., Zoladl, Mohammad, Ziaeian, Boback, Zhong, Chenwen, Zhao, Xiu-Ju George, Zhang, Zhi-Jiang, Zhang, Jianrong, Zepro, Nejimu Biza, Zenebe, Getachew Assefa, Zeitoun, Jean-David, Zegeye, Zelalem Banjaw, Zastrozhin, Mikhail Sergeevich, Zareshahrabadi, Zahra, Zarea, Kourosh, Dehnavi, Ali Zare, Zare, Iman, Zangiabadian, Moein, Zangeneh, Alireza, Zamora, Nelson, Zaman, Sojib Bin, Zaki, Nazar, Zakaryaei, Farima, Zahir, Mazyar, Tajrishi, Farbod Zahedi, Zadnik, Vesna, Zadey, Siddhesh, Yusefi, Hossein ... Anza-Ramirez, Cecilia (2025). Characterising acute and chronic care needs: insights from the Global Burden of Disease Study 2019. Nature Communications, 16 (1) 4235. doi: 10.1038/s41467-025-56910-x

Characterising acute and chronic care needs: insights from the Global Burden of Disease Study 2019

2025

Journal Article

BitterEN: A novel ensemble model for the identification of bitter peptide

Sultan, Md Fahim, Karim, Tasmin, Hossain Shaon, Md Shazzad, Ali, Md Mamun, Ibrahim, Sobhy M., Akter, Mst Shapna, Ahmed, Kawsar, Bui, Francis M. and Moni, Mohammad Ali (2025). BitterEN: A novel ensemble model for the identification of bitter peptide. Computers in Biology and Medicine, 195 110528, 110528. doi: 10.1016/j.compbiomed.2025.110528

BitterEN: A novel ensemble model for the identification of bitter peptide

2025

Journal Article

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

Noman, MD Zuleyenine Ibne, Sati, Kazi, Yousuf, Mohammad Abu, Aloteibi, Saad and Moni, Mohammad Ali (2025). LungCT-NET: An explainable transfer learning-based robust ensemble model for lung cancer diagnosis. Knowledge-Based Systems, 324 113854, 113854. doi: 10.1016/j.knosys.2025.113854

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

2025

Journal Article

Diabetic kidney disease in rural Australia: prevention, management, treatment and way forward

Ross, Allen G., Mondal, Utpal K., Anyasodor, Anayochukwu E., Mahmood, Shakeel, Astawesegn, Feleke H., Huda, M. Mamun, Thapa, Subash, Aychiluhm, Setognal B., Giri, Santosh, Rahman, Md. Ferdous, Shiddiky, Muhammad J. A., Moni, Mohammad A. and Ahmed, Kedir Y. (2025). Diabetic kidney disease in rural Australia: prevention, management, treatment and way forward. Frontiers in Medicine, 12 1561566, 12. doi: 10.3389/fmed.2025.1561566

Diabetic kidney disease in rural Australia: prevention, management, treatment and way forward

2025

Journal Article

A region-of-interest embedded graph neural architecture for gallbladder cancer detection

Islam, Saiful, Haque, Md. Injamul, Jahan, Mushrat, Hasan, Md. Zahid, Rony, Md. Awlad Hossen, Fatema, Kaniz, Shuva, Taslima Ferdaus, Almoyad, Muhammad Ali Abdullah, Bulbul, Abdullah Al-Mamun, Rahman, Md. Tanvir, Whaiduzzaman, Md, Bhuiyan, Touhid and Moni, Mohammad Ali (2025). A region-of-interest embedded graph neural architecture for gallbladder cancer detection. Results in Engineering, 26 104624, 104624. doi: 10.1016/j.rineng.2025.104624

A region-of-interest embedded graph neural architecture for gallbladder cancer detection

2025

Journal Article

Federated learning model with dynamic scoring-based client selection for diabetes diagnosis

Ahmed, Shamim, Kaiser, M. Shamim, Chaki, Sudipto, Aloteibi, Saad and Moni, Mohammad Ali (2025). Federated learning model with dynamic scoring-based client selection for diabetes diagnosis. Knowledge-Based Systems, 320 113662, 113662-320. doi: 10.1016/j.knosys.2025.113662

Federated learning model with dynamic scoring-based client selection for diabetes diagnosis

2025

Journal Article

OBoctNet: Enhancing Ophthalmic Biomarker Detection Through Active Learning and Explainable AI in Radiological Analysis

Acharja, Samya, Hasan, Md. Zahid, Chamok, Farjana Haque, Fahim, Kayes Uddin, Shuva, Taslima Ferdaus, Bulbul, Abdullah Al-Mamun, Khan, Risala Tasin, Rahman, Md. Tanvir, Kaiser, M. Shamim, Mahmud, Mufti and Moni, Mohammad Ali (2025). OBoctNet: Enhancing Ophthalmic Biomarker Detection Through Active Learning and Explainable AI in Radiological Analysis. Cognitive Computation, 17 (3) 101. doi: 10.1007/s12559-025-10451-z

OBoctNet: Enhancing Ophthalmic Biomarker Detection Through Active Learning and Explainable AI in Radiological Analysis

2025

Conference Publication

Dimension-Wise Gated Cross-Attention for Multimodal Sentiment Analysis

Hossain, Md. Shakil, Hossain, Md.Mithun, Chaki, Sudipto, Mridha, M. F., Rahman, Md. Saifur and Moni, Mohammad Ali (2025). Dimension-Wise Gated Cross-Attention for Multimodal Sentiment Analysis. New York, NY, USA: ACM. doi: 10.1145/3701716.3718381

Dimension-Wise Gated Cross-Attention for Multimodal Sentiment Analysis

2025

Conference Publication

Entity-Aware Optimal Transport and Residual Attention for Multimodal Content Moderation

Shah, Siddhant Bikram, Shiwakoti, Shuvam, Bhuiyan, Touhid, Moni, Mohammad Ali, Thapa, Surendrabikram and Naseem, Usman (2025). Entity-Aware Optimal Transport and Residual Attention for Multimodal Content Moderation. New York, NY, USA: ACM. doi: 10.1145/3701716.3717551

Entity-Aware Optimal Transport and Residual Attention for Multimodal Content Moderation

2025

Journal Article

Global, regional, and national age-sex-specific burden of diarrhoeal diseases, their risk factors, and aetiologies, 1990–2021, for 204 countries and territories: a systematic analysis for the Global Burden of Disease Study 2021

Kyu, Hmwe Hmwe, Vongpradith, Avina, Dominguez, Regina-Mae Villanueva, Ma, Jianing, Albertson, Samuel B., Novotney, Amanda, Khalil, Ibrahim A., Troeger, Christopher E., Doxey, Matthew C., Ledesma, Jorge R., Sirota, Sarah Brooke, Bender, Rose Grace, Swetschinski, Lucien R., Cunningham, Matthew, Spearman, Sandra, Abate, Yohannes Habtegiorgis, Abd Al Magied, Abdallah H. A., Abd ElHafeez, Samar, Abdoun, Meriem, Abera, Bayeh, Abidi, Hassan, Aboagye, Richard Gyan, Abtew, Yonas Derso, Abualruz, Hasan, Abu-Gharbieh, Eman, Abukhadijah, Hana J., Aburuz, Salahdein, Addo, Isaac Yeboah, Adekanmbi, Victor ... Murray, Christopher J. L. (2025). Global, regional, and national age-sex-specific burden of diarrhoeal diseases, their risk factors, and aetiologies, 1990–2021, for 204 countries and territories: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet Infectious Diseases, 25 (5), 519-536. doi: 10.1016/s1473-3099(24)00691-1

Global, regional, and national age-sex-specific burden of diarrhoeal diseases, their risk factors, and aetiologies, 1990–2021, for 204 countries and territories: a systematic analysis for the Global Burden of Disease Study 2021

2025

Journal Article

<scp>STSA</scp>‐Based Early‐Stage Detection of Small Brain Tumors Using Neural Network

Hasan, Nafiul, Rana, Md. Masud, Hasan, Md Mahmudul, Azad, AKM, Afroz, Dil, Komol, Md Mostafizur Rahman, Aktar, Mousumi and Moni, Mohammad Ali (2025). STSA‐Based Early‐Stage Detection of Small Brain Tumors Using Neural Network. Engineering Reports, 7 (5) e70135. doi: 10.1002/eng2.70135

<scp>STSA</scp>‐Based Early‐Stage Detection of Small Brain Tumors Using Neural Network

2025

Journal Article

Real-Time Vehicle Type Detection and Counting for Emission Pollution Monitoring and Traffic Violation Identification

Rahman, Md Mizanur, Rahim, Mohammad Asifur, Ayman, Umme, Sohel, Amir, Hossain, Md Ali, Moni, Mohammad Ali and Moustafa, Ahmed (2025). Real-Time Vehicle Type Detection and Counting for Emission Pollution Monitoring and Traffic Violation Identification. Emerging Science Journal, 9 (2), 959-976. doi: 10.28991/esj-2025-09-02-023

Real-Time Vehicle Type Detection and Counting for Emission Pollution Monitoring and Traffic Violation Identification

2025

Journal Article

Genetic Links Between Common Lung Diseases and Lung Cancer Progression: Bioinformatics and Machine Learning Insights

Hossain, Md Ali, Asa, Tania Akter, Mahmud, Md. Zulfiker, Azad, AKM, Rahman, Mohammad Zahidur, Moni, Mohammad Ali and Moustafa, Ahmed (2025). Genetic Links Between Common Lung Diseases and Lung Cancer Progression: Bioinformatics and Machine Learning Insights. Emerging Science Journal, 9 (2), 916-937. doi: 10.28991/esj-2025-09-02-021

Genetic Links Between Common Lung Diseases and Lung Cancer Progression: Bioinformatics and Machine Learning Insights

2025

Journal Article

Changing life expectancy in European countries 1990–2021: a subanalysis of causes and risk factors from the Global Burden of Disease Study 2021

Steel, Nicholas, Bauer-Staeb, Clarissa Maria Mercedes, Ford, John A, Abbafati, Cristiana, Abdalla, Mohammed Altigani, Abdelkader, Atef, Abdi, Parsa, Abeldaño Zuñiga, Roberto Ariel, Abiodun, Olugbenga Olusola, Abolhassani, Hassan, Abu-Gharbieh, Eman, Abukhadijah, Hana J, Abu-Zaid, Ahmed, Addo, Isaac Yeboah, Addolorato, Giovanni, Adekanmbi, Victor, Adetunji, Juliana Bunmi, Adeyeoluwa, Temitayo Esther, Agardh, Emilie E, Agyemang-Duah, Williams, Ahmad, Danish, Ahmed, Anisuddin, Ahmed, Ayman, Ahmed, Syed Anees, Akinosoglou, Karolina, Akkaif, Mohammed Ahmed, Al Awaidy, Salah, Al Hasan, Syed Mahfuz, Al Zaabi, Omar Ali Mohammed ... Newton, John N (2025). Changing life expectancy in European countries 1990–2021: a subanalysis of causes and risk factors from the Global Burden of Disease Study 2021. The Lancet Public Health, 10 (3), e172-e188. doi: 10.1016/S2468-2667(25)00009-X

Changing life expectancy in European countries 1990–2021: a subanalysis of causes and risk factors from the Global Burden of Disease Study 2021

2025

Journal Article

A privacy-preserving dependable deep federated learning model for identifying new infections from genome sequences

Mehedi, Sk. Tanzir, Abdulrazak, Lway Faisal, Ahmed, Kawsar, Uddin, Muhammad Shahin, Bui, Francis M., Chen, Li, Moni, Mohammad Ali and Al-Zahrani, Fahad Ahmed (2025). A privacy-preserving dependable deep federated learning model for identifying new infections from genome sequences. Scientific Reports, 15 (1) 7291, 1. doi: 10.1038/s41598-025-89612-x

A privacy-preserving dependable deep federated learning model for identifying new infections from genome sequences

2025

Journal Article

A Multi-Agent and Attention-Aware Enhanced CNN-BiLSTM Model for Human Activity Recognition for Enhanced Disability Assistance

Khatun, Mst Alema, Yousuf, Mohammad Abu, Turna, Taskin Noor, Azad, AKM, Alyami, Salem A. and Moni, Mohammad Ali (2025). A Multi-Agent and Attention-Aware Enhanced CNN-BiLSTM Model for Human Activity Recognition for Enhanced Disability Assistance. Diagnostics, 15 (5) 537, 537. doi: 10.3390/diagnostics15050537

A Multi-Agent and Attention-Aware Enhanced CNN-BiLSTM Model for Human Activity Recognition for Enhanced Disability Assistance

2025

Journal Article

Quantum deep learning in neuroinformatics: a systematic review

Orka, Nabil Anan, Awal, Md. Abdul, Liò, Pietro, Pogrebna, Ganna, Ross, Allen G. and Moni, Mohammad Ali (2025). Quantum deep learning in neuroinformatics: a systematic review. Artificial Intelligence Review, 58 (5) 134. doi: 10.1007/s10462-025-11136-7

Quantum deep learning in neuroinformatics: a systematic review

2025

Journal Article

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

Tonni, Sadia Islam, Sheakh, Md. Alif, Tahosin, Mst. Sazia, Hasan, Md. Zahid, Shuva, Taslima Ferdaus, Bhuiyan, Touhid, Almoyad, Muhammad Ali Abdullah, Orka, Nabil Anan, Rahman, Md. Tanvir, Khan, Risala Tasin, Kaiser, M. Shamim and Moni, Mohammad Ali (2025). A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis. Advanced Intelligent Systems, 7 (3) 2400495. doi: 10.1002/aisy.202400495

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

2025

Journal Article

WFFS—An ensemble feature selection algorithm for heterogeneous traffic accident data analysis

Rajee, Alimul, Satu, Md. Shahriare, Abedin, Mohammad Zoynul, Ali, K.M. Akkas, Aloteibi, Saad and Moni, Mohammad Ali (2025). WFFS—An ensemble feature selection algorithm for heterogeneous traffic accident data analysis. Knowledge-Based Systems, 311 113089, 113089-311. doi: 10.1016/j.knosys.2025.113089

WFFS—An ensemble feature selection algorithm for heterogeneous traffic accident data analysis

Availability

Dr Mohammad Ali Moni is:
Available for supervision

Before you email them, read our advice on how to contact a supervisor.

Available projects

  • Deep learning models development and application to the Neuro Imaging (MRI and fMRI)

    Magnetic resonance (MR) imaging has become an important non-invasive radiological modality for various clinical applications, such as stoke and cancer. Extracting meaningful clinical information without human interaction is a challenging task. Developing such automatic methods are important in order to reduce human errors and the time taken by clinicians.

    In this project, the student will develop novel deep learning algorithms to solve segmentation and detection problems from imaging that could possibly be deployed to MRI & fMRI scanners and may eventually used for diagnostic purposes. The project will involve applying computer vision and deep learning techniques to MR image processing and analysis.

  • Deep Leaning Model to identify Neuroimaging biomarkers

  • Deep Learning models to solve inverse problems utiling MRI/fMRI image

  • AI-based based model development for Magnetic Resonance Imaging

  • AI-based Model development for ECG/EEG study

Supervision history

Current supervision

  • Doctor Philosophy

    Coloured noise estimation using electroencephalogram data and deep-learning method for improvement of cognitive function

    Principal Advisor

    Other advisors: Associate Professor Asaduzzaman Khan

  • Doctor Philosophy

    Understanding the pathophysiology of stroke using bioinformatics and statistical genetics

    Principal Advisor

    Other advisors: Associate Professor Asaduzzaman Khan, Dr Jian Zeng

  • Doctor Philosophy

    Developing AI-based Discission Support System utilising multimodal data

    Principal Advisor

    Other advisors: Associate Professor Asaduzzaman Khan

  • Master Philosophy

    Advancing Maternal-Fetal Health in Underserved Communities: A Computer Vision Approach

    Principal Advisor

  • Doctor Philosophy

    Robust and Explainable AI to Solve Clinical Problems

    Principal Advisor

    Other advisors: Associate Professor Asaduzzaman Khan

  • Doctor Philosophy

    Wearable devices and AI Models for Monitoring, Predicting and Assessment Post-stroke Recovery

    Principal Advisor

  • Doctor Philosophy

    Managing non-communicable diseases (NCDs) to achieve Universal Health Coverage (UHC) in South Asia: A case study from Bangladesh

    Associate Advisor

    Other advisors: Associate Professor Asaduzzaman Khan

Enquiries

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