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
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
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
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
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
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. doi: 10.1016/j.mcp.2020.101693
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
2021
Conference Publication
COVID-Hero: machine learning based COVID-19 awareness enhancement mobile game for children
Satu, Md. Shahriare, Mizan, K. Shayekh Ebne, Jerin, Syeda Anika, Whaiduzzaman, Md, Barros, Alistair, Ahmed, Kawsar and Moni, Mohammad Ali (2021). COVID-Hero: machine learning based COVID-19 awareness enhancement mobile game for children. First International Conference on Applied Intelligence and Informatics, AII 2021, Online, 30-31 July 2021. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-82269-9_25
2021
Journal Article
Ensemble of Convolutional Neural Networks to diagnose Acute Lymphoblastic Leukemia from microscopic images
Mondal, Chayan, Hasan, Md. Kamrul, Ahmad, Mohiuddin, Awal, Md. Abdul, Jawad, Md. Tasnim, Dutta, Aishwariya, Islam, Md. Rabiul and Moni, Mohammad Ali (2021). Ensemble of Convolutional Neural Networks to diagnose Acute Lymphoblastic Leukemia from microscopic images. Informatics in Medicine Unlocked, 27 100794, 100794. doi: 10.1016/j.imu.2021.100794
2021
Journal Article
Clinically applicable machine learning approaches to identify attributes of Chronic Kidney Disease (CKD) for use in low-cost diagnostic screening
Rashed-Al-Mahfuz, Md., Haque, Abedul, Azad, Akm, Alyami, Salem A., Quinn, Julian M. W. and Moni, Mohammad Ali (2021). Clinically applicable machine learning approaches to identify attributes of Chronic Kidney Disease (CKD) for use in low-cost diagnostic screening. IEEE Journal of Translational Engineering in Health and Medicine, 9 4900511, 1-11. doi: 10.1109/jtehm.2021.3073629
2021
Conference Publication
Machine learning and bioinformatics models to identify gene expression patterns of glioblastoma associated with disease progression and mortality
Choudhury, Zakia Zinat, Chowdhury, Utpala Nanda, Ahmad, Shamim, Islam, M. Babul, Quinn, Julian M.W. and Moni, Mohammad Ali (2021). Machine learning and bioinformatics models to identify gene expression patterns of glioblastoma associated with disease progression and mortality. International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering, Rajshahi, Bangladesh, 26-27 December 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IC4ME253898.2021.9768525
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
2020
Conference Publication
Drug compound prediction-based analysis of cigarette smoking to Pancreatic Cancer patients: a bioinformatics study
Taz, Tasnimul Alam, Kawsar, Md, Siddique, Sinthia, Ahmed, Kawsar, Moni, Mohammad Ali and Paul, Bikash Kumar (2020). Drug compound prediction-based analysis of cigarette smoking to Pancreatic Cancer patients: a bioinformatics study. IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), Bhubaneswar, India, 26-27 December 2020. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/WIECON-ECE52138.2020.9397979
2020
Conference Publication
Bioinformatics approach to analyze gene expression profile and comorbidities of gastric cancer
Datta, Ratri, Podder, Nitun Kumar, Rana, Humayan Kabir, Islam, Md Khaled Ben and Moni, Mohammad Ali (2020). Bioinformatics approach to analyze gene expression profile and comorbidities of gastric cancer. 2020 23rd International Conference on Computer and Information Technology (ICCIT), Dhaka, Bangladesh, 19-21 December 2020. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICCIT51783.2020.9392587
2020
Journal Article
Gene expression profiling of SARS-CoV-2 infections reveal distinct primary lung cell and systemic immune infection responses that identify pathways relevant in COVID-19 disease
Moni, Mohammad Ali, Quinn, Julian M. W., Sinmaz, Nese and Summers, Matthew A. (2020). Gene expression profiling of SARS-CoV-2 infections reveal distinct primary lung cell and systemic immune infection responses that identify pathways relevant in COVID-19 disease. Briefings in Bioinformatics, 22 (2), 1324-1337. doi: 10.1093/bib/bbaa376
2020
Conference Publication
Identifying the stability of couple relationship applying different machine learning techniques
Satu, Md. Shahriare, Howlader, K. C., Hosen, Md Parvej, Chowdhury, Noton and Moni, Mohammad Ali (2020). Identifying the stability of couple relationship applying different machine learning techniques. 2020 11th International Conference on Electrical and Computer Engineering (ICECE), Dhaka, Bangladesh, 17-19 December 2020. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICECE51571.2020.9393131
2020
Journal Article
A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients
Ahamad, Md. Martuza, Aktar, Sakifa, Rashed-Al-Mahfuz, Md., Uddin, Shahadat, Liò, Pietro, Xu, Haoming, Summers, Matthew A., Quinn, Julian M.W. and Moni, Mohammad Ali (2020). A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients. Expert Systems with Applications, 160 113661. doi: 10.1016/j.eswa.2020.113661
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
Robust and Explainable AI to Solve Clinical Problems
Principal Advisor
Other advisors: Associate Professor Asaduzzaman Khan
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Master Philosophy
Advancing Maternal-Fetal Health in Underserved Communities: A Computer Vision Approach
Principal Advisor
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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
Understanding the pathophysiology of stroke using bioinformatics and statistical genetics
Principal Advisor
Other advisors: Associate Professor Asaduzzaman Khan, Dr Jian Zeng
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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
Understanding the pathophysiology of stroke using bioinformatics and statistical genetics approaches
Principal Advisor
Other advisors: Associate Professor Asaduzzaman Khan, Dr Jian Zeng
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Doctor Philosophy
Understanding the pathophysiology of stroke using bioinformatics and statistical genetics
Principal Advisor
Other advisors: Associate Professor Asaduzzaman Khan, Dr Jian Zeng
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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
Media
Enquiries
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