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
2021
Journal Article
Diseasome and comorbidities complexities of SARS-CoV-2 infection with common malignant diseases
Satu, Shahriare, Khan, Imran, Rahman, Rezanur, Howlader, Koushik Chandra, Roy, Shatabdi, Roy, Shuvo Saha, Quinn, Julian M. W and Moni, Mohammad Ali (2021). Diseasome and comorbidities complexities of SARS-CoV-2 infection with common malignant diseases. Briefings in Bioinformatics, 22 (2), 1415-1429. doi: 10.1093/bib/bbab003
2021
Journal Article
Bioinformatics and system biology approach to identify the influences of COVID-19 on cardiovascular and hypertensive comorbidities
Nashiry, Asif, Sarmin Sumi, Shauli, Islam, Salequl, Quinn, Julian M. W and Moni, Mohammad Ali (2021). Bioinformatics and system biology approach to identify the influences of COVID-19 on cardiovascular and hypertensive comorbidities. Briefings in Bioinformatics, 22 (2), 1387-1401. doi: 10.1093/bib/bbaa426
2021
Journal Article
Network-based identification genetic effect of SARS-CoV-2 infections to Idiopathic pulmonary fibrosis (IPF) patients
Taz, Tasnimul Alam, Ahmed, Kawsar, Paul, Bikash Kumar, Kawsar, Md, Aktar, Nargis, Mahmud, S. M. Hasan and Moni, Mohammad Ali (2021). Network-based identification genetic effect of SARS-CoV-2 infections to Idiopathic pulmonary fibrosis (IPF) patients. Briefings in Bioinformatics, 22 (2), 1254-1266. doi: 10.1093/bib/bbaa235
2021
Conference Publication
Movie genre classification with deep neural network using poster images
Hossain, Nayeem, Ahamad, Md. Martuza, Aktar, Sakifa and Moni, Mohammad Ali (2021). Movie genre classification with deep neural network using poster images. 2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), Dhaka, Bangladesh, 27-28 February 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/ICICT4SD50815.2021.9396778
2021
Journal Article
Identification of biomarkers and pathways for the SARS-CoV-2 infections that make complexities in pulmonary arterial hypertension patients
Taz, Tasnimul Alam, Ahmed, Kawsar, Paul, Bikash Kumar, Al-Zahrani, Fahad Ahmed, Mahmud, S M Hasan and Moni, Mohammad Ali (2021). Identification of biomarkers and pathways for the SARS-CoV-2 infections that make complexities in pulmonary arterial hypertension patients. Briefings in Bioinformatics, 22 (2), 1451-1465. doi: 10.1093/bib/bbab026
2021
Journal Article
Deep convolutional neural networks based ECG beats classification to diagnose cardiovascular conditions
Rashed-Al-Mahfuz, Md., Moni, Mohammad Ali, Lio’, Pietro, Islam, Sheikh Mohammed Shariful, Berkovsky, Shlomo, Khushi, Matloob and Quinn, Julian M. W. (2021). Deep convolutional neural networks based ECG beats classification to diagnose cardiovascular conditions. Biomedical Engineering Letters, 11 (2), 147-162. doi: 10.1007/s13534-021-00185-w
2021
Journal Article
Identification of common pathogenetic processes between schizophrenia and diabetes mellitus by systems biology analysis
Rahman, Md Rezanur, Islam, Tania, Nicoletti, Ferdinando, Petralia, Maria Cristina, Ciurleo, Rosella, Fisicaro, Francesco, Pennisi, Manuela, Bramanti, Alessia, Demirtas, Talip Yasir, Gov, Esra, Islam, Md Rafiqul, Mussa, Bashair M., Moni, Mohammad Ali and Fagone, Paolo (2021). Identification of common pathogenetic processes between schizophrenia and diabetes mellitus by systems biology analysis. Genes, 12 (2) 237, 1-14. doi: 10.3390/genes12020237
2021
Journal Article
Onslaught of COVID-19: How did governments react and at what point of the crisis?
Uddin, Shahadat, Imam, Tasadduq, Moni, Mohammad Ali and Thow, Anne-Marie (2021). Onslaught of COVID-19: How did governments react and at what point of the crisis?. Population Health Management, 24 (1), 13-19. doi: 10.1089/pop.2020.0138
2021
Journal Article
Whole proteome screening and identification of potential epitopes of SARS-CoV-2 for vaccine design-an immunoinformatic, molecular docking and molecular dynamics simulation accelerated robust strategy
Ezaj, Md. Muzahid Ahmed, Junaid, Md., Akter, Yeasmin, Nahrin, Afsana, Siddika, Aysha, Afrose, Syeda Samira, Nayeem, S. M. Abdul, Haque, Md. Sajedul, Moni, Mohammad Ali and Hosen, S. M. Zahid (2021). Whole proteome screening and identification of potential epitopes of SARS-CoV-2 for vaccine design-an immunoinformatic, molecular docking and molecular dynamics simulation accelerated robust strategy. Journal of Biomolecular Structure and Dynamics, 40 (14), 1-26. doi: 10.1080/07391102.2021.1886171
2021
Journal Article
Identifying the function of methylated genes in Alzheimer’s disease to determine epigenetic signatures: a comprehensive bioinformatics analysis
Rahman, Md Rezanur, Islam, Tania, Gov, Esra, Quinn, Julian M.W. and Moni, Mohammad Ali (2021). Identifying the function of methylated genes in Alzheimer’s disease to determine epigenetic signatures: a comprehensive bioinformatics analysis. Experimental Results, 2 e9, 1-13. doi: 10.1017/exp.2020.65
2021
Journal Article
Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: The Right to Sight: an analysis for the Global Burden of Disease Study
Bourne, Rupert R.A., Steinmetz, Jaimie D., Saylan, Mete, Mersha, Abera M., Weldemariam, Abrha Hailay, Wondmeneh, Temesgen Gebeyehu, Sreeramareddy, Chandrashekhar T., Pinheiro, Marina, Yaseri, Mehdi, Yu, Chuanhua, Zastrozhin, Mikhail Sergeevich, Zastrozhina, Anasthasia, Zhang, Zhi-Jiang, Zimsen, Stephanie R.M., Yonemoto, Naohiro, Tsegaye, Gebiyaw Wudie, Vu, Giang Thu, Vongpradith, Avina, Renzaho, Andre M.N., Sorrie, Muluken Bekele, Shaheen, Amira A., Shiferaw, Wondimeneh Shibabaw, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Saya, Ganesh Kumar, Rahimi-Movaghar, Vafa, Shigematsu, Mika, Sahraian, Mohammad Ali, Naderifar, Homa ... GBD 2019 Blindness and Vision Impairment Collaborators on behalf of the Vision Loss Expert Group of the Global Burden of Disease Study (2021). Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: The Right to Sight: an analysis for the Global Burden of Disease Study. The Lancet Global Health, 9 (2), e144-e160. doi: 10.1016/S2214-109X(20)30489-7
2021
Journal Article
Computational formulation and immune dynamics of a multi-peptide vaccine candidate against Crimean-Congo hemorrhagic fever virus
Khan, Md. Shakil Ahmed, Nain, Zulkar, Syed, Shifath Bin, Abdulla, Faruq, Moni, Mohammad Ali, Sheam, Md. Moinuddin, Karim, Mohammad Minnatul and Adhikari, Utpal Kumar (2021). Computational formulation and immune dynamics of a multi-peptide vaccine candidate against Crimean-Congo hemorrhagic fever virus. Molecular and Cellular Probes, 55 101693, 101693. doi: 10.1016/j.mcp.2020.101693
2021
Conference Publication
Machine learning model to predict autism investigating eye-tracking dataset
Akter, Tania, Ali, Mohammad Hanif, Khan, Md. Imran, Satu, Md. Shahriare and Moni, Mohammad Ali (2021). Machine learning model to predict autism investigating eye-tracking dataset. 2nd International Conference on Robotics, Electrical and Signal Processing Techniques, ICREST 2021, Dhaka, Bangladesh, 5-7 January 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICREST51555.2021.9331152
2021
Conference Publication
The implementation of public health and economic measures during the first wave of COVID-19 by different countries with respect to time, infection rate and death rate
Uddin, Shahadat, Imam, Tasadduq and Ali Moni, Mohammad (2021). The implementation of public health and economic measures during the first wave of COVID-19 by different countries with respect to time, infection rate and death rate. 2021 Australasian Computer Science Week Multiconference, Dunedin, New Zealand, 1-5 February 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3437378.3437384
2021
Conference Publication
Improved machine learning based classification model for early autism detection
Akter, Tania, Khan, Md. Imran, Ali, Mohammad Hanif, Satu, Md. Shahriare, Uddin, Md. Jamal and Moni, Mohammad Ali (2021). Improved machine learning based classification model for early autism detection. 2nd International Conference on Robotics, Electrical and Signal Processing Techniques, ICREST 2021, Dhaka, Bangladesh, 5-7 January 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICREST51555.2021.9331013
2021
Journal Article
Attribute driven temporal active online community search
Das, Badhan Chandra, Anwar, Md. Musfique, Bhuiyan, Md. Al-Amin, Sarker, Iqbal H., Alyami, Salem A. and Moni, Mohammad Ali (2021). Attribute driven temporal active online community search. IEEE Access, 9, 93976-93989. doi: 10.1109/access.2021.3093368
2021
Journal Article
Genome-wide integrative analysis reveals common molecular signatures in blood and brain of alzheimer’s disease
Rahman, Md Rezanur, Islam, Tania, Shahjaman, Md, Rana, Md Humayun Kabir, Holsinger, R. M. Damian, Quinn, Julian M. W., Gov, Esra and Moni, Mohammad Ali (2021). Genome-wide integrative analysis reveals common molecular signatures in blood and brain of alzheimer’s disease. Biointerface Research in Applied Chemistry, 11 (2), 8686-8701. doi: 10.33263/BRIAC112.86868701
2021
Journal Article
A deep convolutional neural network method to detect seizures and characteristic frequencies using Epileptic Electroencephalogram (EEG) data
Rashed-Al-Mahfuz, Md., Moni, Mohammad Ali, Uddin, Shahadat, Alyami, Salem A., Summers, Matthew A. and Eapen, Valsamma (2021). A deep convolutional neural network method to detect seizures and characteristic frequencies using Epileptic Electroencephalogram (EEG) data. IEEE Journal of Translational Engineering in Health and Medicine, 9 9319690, 1-12. doi: 10.1109/jtehm.2021.3050925
2021
Journal Article
A computational approach to design potential siRNA molecules as a prospective tool for silencing nucleocapsid phosphoprotein and surface glycoprotein gene of SARS-CoV-2
Chowdhury, Umar Faruq, Sharif Shohan, Mohammad Umer, Hoque, Kazi Injamamul, Beg, Mirza Ashikul, Sharif Siam, Mohammad Kawsar and Moni, Mohammad Ali (2021). A computational approach to design potential siRNA molecules as a prospective tool for silencing nucleocapsid phosphoprotein and surface glycoprotein gene of SARS-CoV-2. Genomics, 113 (1 Part 1), 331-343. doi: 10.1016/j.ygeno.2020.12.021
2021
Conference Publication
Survival prediction for prostate cancer using machine learning and bioinformatics models
Chowdhury, Utpala Nanda, Ahmad, Shamim, Islam, M. Babul and Moni, Mohammad Ali (2021). Survival prediction for prostate cancer using machine learning and bioinformatics models. 2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), Rajshahi, Bangladesh, 26-27 December 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/IC4ME253898.2021.9768443
Supervision
Availability
- Dr Mohammad Ali Moni is:
- Available for supervision
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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
Wearable devices and AI Models for Monitoring, Predicting and Assessment Post-stroke Recovery
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
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
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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