Overview
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
Qualifications
- Doctor of Philosophy, University of Cambridge
Research interests
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Artificial Intelligence, Computer Vision, Machine Learning, Deep-Learning
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Medical Imaging, Medical Image Analysis, Neuro Imaging
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Digital Health, Data Science, Health Informatics, Clinical Informatics
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Data Mining, Text Mining, Natural Language Processing
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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
Works
Search Professor Mohammad Ali Moni’s works on UQ eSpace
2024
Journal Article
Correction to: Global estimates on the number of people blind or visually impaired by cataract_ a meta-analysis from 2000 to 2020 (Eye, (2024), 10.1038/s41433-024-02961-1)
Pesudovs, Konrad, Lansingh, Van Charles, Kempen, John H., Tapply, Ian, Fernandes, Arthur G., Cicinelli, Maria Vittoria, Arrigo, Alessandro, Leveziel, Nicolas, Resnikoff, Serge, Taylor, Hugh R., Sedighi, Tabassom, Flaxman, Seth, Bikbov, Mukkharram M., Braithwaite, Tasanee, Bron, Alain, Cheng, Ching-Yu, Del Monte, Monte A., Ehrlich, Joshua R., Ellwein, Leon B., Friedman, David, Furtado, João M., Gazzard, Gus, George, Ronnie, Hartnett, M. Elizabeth, Jonas, Jost B., Kahloun, Rim, Khairallah, Moncef, Khanna, Rohit C., Leasher, Janet ... Steinmetz, Jaimie D. (2024). Correction to: Global estimates on the number of people blind or visually impaired by cataract_ a meta-analysis from 2000 to 2020 (Eye, (2024), 10.1038/s41433-024-02961-1). Eye (Basingstoke), 38 (11), 2229-2231. doi: 10.1038/s41433-024-03161-7
2024
Journal Article
Global, regional, and national burden of pulmonary arterial hypertension, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
Leary, Peter J., Lindstrom, Megan, Johnson, Catherine O., Emmons-Bell, Sophia, Rich, Stuart, Corris, Paul A., DuBrock, Hilary M., Ventetuolo, Corey E., Abate, Yohannes Habtegiorgis, Abdelmasseh, Michael, Aboagye, Richard Gyan, Abualruz, Hasan, Abu-Gharbieh, Eman, Aburuz, Salahdein, Adamu, Lawan Hassan, Adão, Rui, Addo, Isaac Yeboah, Adedoyin, Rufus Adesoji, Adetunji, Juliana Bunmi, Adzigbli, Leticia Akua, Ahinkorah, Bright Opoku, Ahmad, Firdos, Ahmadzade, Amir Mahmoud, Ahmed, Ayman, Ahmed, Haroon, Ahmed, Syed Anees, Akhlaghi, Shiva, Akkaif, Mohammed Ahmed, Al Awaidy, Salah ... GBD 2021 Pulmonary Arterial Hypertension Collaborators (2024). Global, regional, and national burden of pulmonary arterial hypertension, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet Respiratory Medicine, 13 (1), 69-79. doi: 10.1016/S2213-2600(24)00295-9
2024
Conference Publication
Bengali cyberbullying: detection, categorization, and gender bias analysis
Hossain, Md. Mithun, Hossain, Md. Shakil, Chaki, Sudipto, Rahman, Md. Saifur and Moni, Mohammad Ali (2024). Bengali cyberbullying: detection, categorization, and gender bias analysis. 2024 IEEE International Conference on Data Mining Workshops (ICDMW), Abu Dhabi, United Arab Emirates, 9 December 2024. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/ICDMW65004.2024.00027
2023
Journal Article
BOO-ST and CBCEC: two novel hybrid machine learning methods aim to reduce the mortality of heart failure patients
Sutradhar, Ananda, Al Rafi, Mustahsin, Shamrat, F M Javed Mehedi, Ghosh, Pronab, Das, Subrata, Islam, Md Anaytul, Ahmed, Kawsar, Zhou, Xujuan, Azad, A. K.M., Alyami, Salem A. and Moni, Mohammad Ali (2023). BOO-ST and CBCEC: two novel hybrid machine learning methods aim to reduce the mortality of heart failure patients. Scientific Reports, 13 (1) 22874, 1-16. doi: 10.1038/s41598-023-48486-7
2023
Journal Article
Network based approach to identify interactions between Type 2 diabetes and cancer comorbidities
Nayan, Saidul Islam, Rahman, Md Habibur, Hasan, Md. Mehedi, Raj, Sheikh Md. Razibul Hasan, Almoyad, Mohammad Ali Abdullah, Liò, Pietro and Moni, Mohammad Ali (2023). Network based approach to identify interactions between Type 2 diabetes and cancer comorbidities. Life Sciences, 335 122244, 1-16. doi: 10.1016/j.lfs.2023.122244
2023
Conference Publication
Observation of heart attack patients utilizing machine learning with monarch butterfly optimization and IoT
Rahman, Wahidur, Abul Ala Walid, Md., Saklain Galib, S. M., Rokhsana, Kaniz, Abdul Hai, Talha Bin, Mohammad Azad, Mir and Ali Moni, Mohammad (2023). Observation of heart attack patients utilizing machine learning with monarch butterfly optimization and IoT. 2023 26th International Conference on Computer and Information Technology, ICCIT 2023, Cox's Bazar, Bangladesh, 13-15 December 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iccit60459.2023.10441444
2023
Journal Article
Determination of optimum intensity and duration of exercise based on the immune system response using a machine-learning model
Asadi, Shirin, Tartibian, Bakhtyar and Moni, Mohammad Ali (2023). Determination of optimum intensity and duration of exercise based on the immune system response using a machine-learning model. Scientific Reports, 13 (1) 8207, 1-10. doi: 10.1038/s41598-023-34974-3
2023
Journal Article
The burden of diseases and risk factors in Bangladesh, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
Islam, Sheikh Mohammed Shariful, Uddin, Riaz, Das, Subasish, Ahmed, Syed Imran, Zaman, Sojib Bin, Alif, Sheikh Mohammad, Hossen, Md Tanvir, Sarker, Malabika, Siopis, George, Livingstone, Katherine M., Mehlman, Max L., Rahman, Md. Marufur, Chowdhury, Rahat I., Alim, Md. Abdul, Choudhury, Sohel Reza, Ahmed, Syed Masud, Adhikary, Ripon Kumar, Anjum, Afifa, Banik, Palash Chandra, Chowdhury, Fazle Rabbi, Faruk, Md Omar, Gupta, Rajat Das, Hannan, Md Abdul, Haque, Md Nuruzzaman, Haque, Syed Emdadul, Hasan, M. Tasdik, Hossain, Md Belal, Hossain, Md Mahbub, Hossain, Muttaquina ... Naghavi, Mohsen (2023). The burden of diseases and risk factors in Bangladesh, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet Global Health, 11 (12), e1931-e1942. doi: 10.1016/S2214-109X(23)00432-1
2023
Journal Article
A computational approach to design a polyvalent vaccine against human respiratory syncytial virus
Moin, Abu Tayab, Ullah, Md. Asad, Patil, Rajesh B., Faruqui, Nairita Ahsan, Araf, Yusha, Das, Sowmen, Uddin, Khaza Md. Kapil, Hossain, Md. Shakhawat, Miah, Md. Faruque, Moni, Mohammad Ali, Chowdhury, Dil Umme Salma and Islam, Saiful (2023). A computational approach to design a polyvalent vaccine against human respiratory syncytial virus. Scientific Reports, 13 (1) 9702, 9702. doi: 10.1038/s41598-023-35309-y
2023
Conference Publication
CervixMed: Detecting cervical cancer based on combinational data using hybrid architecture
Gupta, Debashis, Golder, Aditi, Haque, Md. Mahfuzul and Moni, Mohammad Ali (2023). CervixMed: Detecting cervical cancer based on combinational data using hybrid architecture. 2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Port Macquarie, NSW Australia, 28 November - 1 December 2023. Piscataway, NJ United States: IEEE. doi: 10.1109/dicta60407.2023.00085
2023
Journal Article
An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning
Talukder, Md. Alamin, Islam, Md. Manowarul, Uddin, Md. Ashraf, Akhter, Arnisha, Pramanik, Md. Alamgir Jalil, Aryal, Sunil, Almoyad, Muhammad Ali Abdulllah, Hasan, Khondokar Fida and Moni, Mohammad Ali (2023). An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning. Expert Systems with Applications, 230 120534, 120534. doi: 10.1016/j.eswa.2023.120534
2023
Journal Article
Identification of genetic biomarkers, drug targets and agents for respiratory diseases utilising integrated bioinformatics approaches
Ahmed, Fee Faysal, Das, Arnob Dip, Sumi, Mst. Joynab, Islam, Md. Zohurul, Rahman, Md. Shahedur, Rashid, Md. Harun, Alyami, Salem A., Alotaibi, Naif, Azad, A. K.M. and Moni, Mohammad Ali (2023). Identification of genetic biomarkers, drug targets and agents for respiratory diseases utilising integrated bioinformatics approaches. Scientific Reports, 13 (1) 19072, 1-14. doi: 10.1038/s41598-023-46455-8
2023
Journal Article
Global, regional, and national burden of spinal cord injury, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
Safdarian, Mahdi, Trinka, Eugen, Rahimi-Movaghar, Vafa, Thomschewski, Aljoscha, Aali, Amirali, Abady, Gdiom Gebreheat, Abate, Semagn Mekonnen, Abd-Allah, Foad, Abedi, Aidin, Adane, Denberu Eshetie, Afzal, Saira, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmed, Haroon, Amanat, Nasir, Angappan, Dhanalakshmi, Arabloo, Jalal, Aryannejad, Armin, Athari, Seyyed Shamsadin, Atreya, Alok, Azadnajafabad, Sina, Azzam, Ahmed Y, Babamohamadi, Hassan, Banik, Palash Chandra, Bardhan, Mainak, Bashiri, Azadeh, Berhie, Alemshet Yirga, Bhat, Ajay Nagesh, Brown, Julie ... GBD Spinal Cord Injuries Collaborators (2023). Global, regional, and national burden of spinal cord injury, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet Neurology, 22 (11), 1026-1047. doi: 10.1016/S1474-4422(23)00287-9
2023
Journal Article
A machine learning approach for risk factors analysis and survival prediction of Heart Failure patients
Ali, Md. Mamun, Al-Doori, Vian S., Mirzah, Nubogh, Hemu, Asifa Afsari, Mahmud, Imran, Azam, Sami, Al-tabatabaie, Kusay Faisal, Ahmed, Kawsar, Bui, Francis M. and Moni, Mohammad Ali (2023). A machine learning approach for risk factors analysis and survival prediction of Heart Failure patients. Healthcare Analytics, 3 100182, 1-12. doi: 10.1016/j.health.2023.100182
2023
Journal Article
Global, regional, and national burden of other musculoskeletal disorders, 1990–2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021
Gill, Tiffany K, Mittinty, Manasi Murthy, March, Lyn M, Steinmetz, Jaimie D, Culbreth, Garland T, Cross, Marita, Kopec, Jacek A, Woolf, Anthony D, Haile, Lydia M, Hagins, Hailey, Ong, Kanyin Liane, Kopansky-Giles, Deborah R, Dreinhoefer, Karsten E, Betteridge, Neil, Abbasian, Mohammadreza, Abbasifard, Mitra, Abedi, krishna, Adesina, Miracle Ayomikun, Aithala, Janardhana P, Akbarzadeh-Khiavi, Mostafa, Al Thaher, Yazan, Alalwan, Tariq A, Alzahrani, Hosam, Amiri, Sohrab, Antony, Benny, Arabloo, Jalal, Aravkin, Aleksandr Y, Arumugam, Ashokan, Aryal, Krishna K ... GBD 2021 Other Musculoskeletal Disorders Collaborators (2023). Global, regional, and national burden of other musculoskeletal disorders, 1990–2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021. The Lancet Rheumatology, 5 (11), e670-e682. doi: 10.1016/S2665-9913(23)00232-1
2023
Journal Article
Global, regional, and national mortality due to unintentional carbon monoxide poisoning, 2000–2021: results from the Global Burden of Disease Study 2021
Moberg, Madeline E, Hamilton, Erin B, Zeng, Scott M, Bryazka, Dana, Zhao, Jeff T, Feldman, Rachel, Abate, Yohannes Habtegiorgis, Abbasi-Kangevari, Mohsen, Abdurehman, Ame Mehadi, Abedi, Aidin, Abu-Gharbieh, Eman, Addo, Isaac Yeboah, Adepoju, Abiola Victor, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Saira, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmed, Danial, Ahmed, Haroon, Alem, Dejene Tsegaye, Al-Gheethi, Adel Ali Saeed, Alimohamadi, Yousef, Ameyaw, Edward Kwabena, Amrollahi-Sharifabadi, Mohammad, Anagaw, Tadele Fentabil, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Aravkin, Aleksandr Y, Athari, Seyyed Shamsadin ... Ong, Kanyin Liane (2023). Global, regional, and national mortality due to unintentional carbon monoxide poisoning, 2000–2021: results from the Global Burden of Disease Study 2021. The Lancet Public Health, 8 (11), e839-e849. doi: 10.1016/S2468-2667(23)00185-8
2023
Journal Article
Development and performance analysis of machine learning methods for predicting depression among menopausal women
Ali, Md. Mamun, Algashamy, Hussein Ali A., Alzidi, Enas, Ahmed, Kawsar, Bui, Francis M., Patel, Shobhit K., Azam, Sami, Abdulrazak, Lway Faisal and Moni, Mohammad Ali (2023). Development and performance analysis of machine learning methods for predicting depression among menopausal women. Healthcare Analytics, 3 100202, 100202. doi: 10.1016/j.health.2023.100202
2023
Journal Article
An intelligent thyroid diagnosis system utilising multiple ensemble and explainable algorithms with medical supported attributes
Sutradhar, Ananda, Al Rafi, Mustahsin, Ghosh, Pronab, Shamrat, F M Javed Mehedi, Moniruzzaman, Md., Ahmed, Kawsar, Azad, AKM, Bui, Francis M., Chen, Li and Moni, Mohammad Ali (2023). An intelligent thyroid diagnosis system utilising multiple ensemble and explainable algorithms with medical supported attributes. IEEE Transactions on Artificial Intelligence, 5 (6), 2840-2855. doi: 10.1109/tai.2023.3327981
2023
Journal Article
Monitoring water quality metrics of ponds with IoT sensors and machine learning to predict fish species survival
Islam, Md. Monirul, Kashem, Mohammod Abul, Alyami, Salem A. and Moni, Mohammad Ali (2023). Monitoring water quality metrics of ponds with IoT sensors and machine learning to predict fish species survival. Microprocessors and Microsystems, 102 104930, 1-12. doi: 10.1016/j.micpro.2023.104930
2023
Journal Article
FP-CNN: Fuzzy pooling-based convolutional neural network for lung ultrasound image classification with explainable AI
Hasan, Md Mahmodul, Hossain, Muhammad Minoar, Rahman, Mohammad Motiur, Azad, AKM, Alyami, Salem A. and Moni, Mohammad Ali (2023). FP-CNN: Fuzzy pooling-based convolutional neural network for lung ultrasound image classification with explainable AI. Computers in Biology and Medicine, 165 107407, 107407. doi: 10.1016/j.compbiomed.2023.107407
Supervision
Availability
- Dr Mohammad Ali Moni is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Available projects
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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.
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Deep Leaning Model to identify Neuroimaging biomarkers
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Deep Learning models to solve inverse problems utiling MRI/fMRI image
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AI-based based model development for Magnetic Resonance Imaging
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AI-based Model development for ECG/EEG study
Supervision history
Current supervision
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Doctor Philosophy
Robust and Explainable AI to Solve Clinical Problems
Principal Advisor
Other advisors: Associate Professor Asaduzzaman Khan
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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
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Doctor Philosophy
Wearable devices and AI Models for Monitoring, Predicting and Assessment Post-stroke Recovery
Principal Advisor
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Master Philosophy
Quantum Deep Learning for Brain Informatics
Principal Advisor
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Doctor Philosophy
Developing AI-based Discission Support System utilising multimodal data
Principal Advisor
Other advisors: Associate Professor Asaduzzaman Khan
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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
Completed supervision
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2025
Doctor Philosophy
Understanding the pathophysiology of stroke using bioinformatics and statistical genetics
Principal Advisor
Other advisors: Associate Professor Asaduzzaman Khan, Dr Jian Zeng
Media
Enquiries
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