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
2020
Journal Article
Machine learning and bioinformatics models to identify pathways that mediate influences of welding fumes on cancer progression
Rana, Humayan Kabir, Akhtar, Mst. Rashida, Islam, M. Babul, Ahmed, Mohammad Boshir, Lió, Pietro, Huq, Fazlul, Quinn, Julian M. W. and Moni, Mohammad Ali (2020). Machine learning and bioinformatics models to identify pathways that mediate influences of welding fumes on cancer progression. Scientific Reports, 10 (1) 2795, 2795. doi: 10.1038/s41598-020-57916-9
2020
Journal Article
Design of novel viral attachment inhibitors of the spike glycoprotein (S) of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) through virtual screening and dynamics
Oany, Arafat Rahman, Mia, Mamun, Pervin, Tahmina, Junaid, Md., Hosen, S. M. Zahid and Moni, Mohammad Ali (2020). Design of novel viral attachment inhibitors of the spike glycoprotein (S) of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) through virtual screening and dynamics. International Journal of Antimicrobial Agents, 56 (6) 106177, 106177. doi: 10.1016/j.ijantimicag.2020.106177
2020
Journal Article
A system biological approach to investigate the genetic profiling and comorbidities of type 2 diabetes
Podder, Nitun Kumar, Rana, Humayan Kabir, Azam, Md. Shafiul, Rana, Md. Shohel, Akhtar, Mst. Rashida, Rahman, Md Rezanur, Rahman, Md Habibur and Moni, Mohammad Ali (2020). A system biological approach to investigate the genetic profiling and comorbidities of type 2 diabetes. Gene Reports, 21 100830, 1-13. doi: 10.1016/j.genrep.2020.100830
2020
Journal Article
Zeolite synthesis from low-cost materials and environmental applications: a review
Khaleque, Abdul, Alam, Md Masruck, Hoque, Mozammel, Mondal, Shuvodip, Haider, Jahid Bin, Xu, Bentuo, Johir, M. A.H., Karmakar, Aneek Krishna, Zhou, J. L., Ahmed, Mohammad Boshir and Moni, Mohammad Ali (2020). Zeolite synthesis from low-cost materials and environmental applications: a review. Environmental Advances, 2 100019. doi: 10.1016/j.envadv.2020.100019
2020
Journal Article
Analysis of topological properties and drug discovery for bipolar disorder and associated diseases: a bioinformatics approach
Shadhin, Khairul Alam, Hasan, Md. Rakibul, Paul, Bikash Kumar, Ahmed, Kawsar, Moni, Mohammad Ali, Kahrizi, Danial, Bhuyian, Touhid and Ibrahim, Sobhy M. (2020). Analysis of topological properties and drug discovery for bipolar disorder and associated diseases: a bioinformatics approach. Cellular and Molecular Biology, 66 (7), 152-160. doi: 10.14715/cmb/2020.66.7.23
2020
Journal Article
Detection of molecular signatures and pathways shared in inflammatory bowel disease and colorectal cancer: A bioinformatics and systems biology approach
Al-Mustanjid, Md., Mahmud, S.M. Hasan, Royel, Md. Rejaul Islam, Rahman, Md. Habibur, Islam, Tania, Rahman, Md. Rezanur and Moni, Mohammad Ali (2020). Detection of molecular signatures and pathways shared in inflammatory bowel disease and colorectal cancer: A bioinformatics and systems biology approach. Genomics, 112 (5), 3416-3426. doi: 10.1016/j.ygeno.2020.06.001
2020
Journal Article
Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000-17
Deshpande, Aniruddha, Miller-Petrie, Molly K., Lindstedt, Paulina A., Baumann, Mathew M., Johnson, Kimberly B., Blacker, Brigette F., Abbastabar, Hedayat, Abd-Allah, Foad, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abegaz, Kedir Hussein, Abejie, Ayenew Negesse, Abreu, Lucas Guimaraes, Abrigo, Michael R. M., Abualhasan, Ahmed, Accrombessi, Manfred Mario Kokou, Adamu, Abdu A., Adebayo, Oladimeji M., Adedeji, Isaac Akinkunmi, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O., Adhikari, Tara Ballav, Afarideh, Mohsen, Agudelo-Botero, Marcela, Ahmadi, Mehdi, Ahmadi, Keivan, Ahmed, Muktar Beshir, Ahmed, Anwar E. ... Reiner, Robert C. (2020). Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000-17. Lancet Global Health, 8 (9), E1162-E1185.
2020
Journal Article
Pathogenetic profiling of COVID-19 and SARS-like viruses
Nain, Zulkar, Rana, Humayan Kabir, Liò, Pietro, Islam, Sheikh Mohammed Shariful, Summers, Matthew A and Moni, Mohammad Ali (2020). Pathogenetic profiling of COVID-19 and SARS-like viruses. Briefings in Bioinformatics, 22 (2), 1175-1196. doi: 10.1093/bib/bbaa173
2020
Journal Article
Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000-17: analysis for the Global Burden of Disease Study 2017
Reiner, Robert C., Wiens, Kirsten E., Deshpande, Aniruddha, Baumann, Mathew M., Lindstedt, Paulina A., Blacker, Brigette F., Troeger, Christopher E., Earl, Lucas, Munro, Sandra B., Abate, Degu, Abbastabar, Hedayat, Abd-Allah, Foad, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Getaneh, Abegaz, Kedir Hussein, Abreu, Lucas Guimaraes, Abrigo, Michael R. M., Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Adabi, Maryam, Adebayo, Oladimeji M., Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O., Adham, Davoud, Adhena, Beyene Meressa, Afarideh, Mohsen ... Hay, Simon I. (2020). Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000-17: analysis for the Global Burden of Disease Study 2017. Lancet, 395 (10239), 1779-1801. doi: 10.1016/S0140-6736(20)30114-8
2020
Journal Article
A systematic review of network studies based on administrative health data
Karim, Shakir, Uddin, Shahadat, Imam, Tasadduq and Moni, Mohammad Ali (2020). A systematic review of network studies based on administrative health data. International Journal of Environmental Research and Public Health, 17 (7) 2568, 2568. doi: 10.3390/ijerph17072568
2020
Journal Article
Computational prediction of protein ubiquitination sites mapping on Arabidopsis thaliana
Mosharaf, Md. Parvez, Hassan, Md. Mehedi, Ahmed, Fee Faysal, Khatun, Mst. Shamima, Moni, Mohammad Ali and Mollah, Md. Nurul Haque (2020). Computational prediction of protein ubiquitination sites mapping on Arabidopsis thaliana. Computational Biology and Chemistry, 85 107238. doi: 10.1016/j.compbiolchem.2020.107238
2020
Journal Article
Network-based computational approach to identify genetic links between cardiomyopathy and its risk factors
Haidar, M. Nasim, Islam, M. Babul, Chowdhury, Utpala Nanda, Rahman, M. Rezanur, Huq, Fazlul, Quinn, Julian M.W. and Moni, Mohammad Ali (2020). Network-based computational approach to identify genetic links between cardiomyopathy and its risk factors. IET Systems Biology, 14 (2), 75-84. doi: 10.1049/iet-syb.2019.0074
2020
Journal Article
Advanced treatment technologies efficacies and mechanism of per- and poly-fluoroalkyl substances removal from water
Ahmed, Mohammad Boshir, Alam, Md. Masruck, Zhou, John L., Xu, Bentuo, Johir, Md Abu Hasan, Karmakar, Aneek Krishna, Rahman, Md. Saifur, Hossen, Jewel, Hasan, A.T.M. Kamrul and Moni, Mohammad Ali (2020). Advanced treatment technologies efficacies and mechanism of per- and poly-fluoroalkyl substances removal from water. Process Safety and Environmental Protection, 136, 1-14. doi: 10.1016/j.psep.2020.01.005
2020
Journal Article
Identification of molecular signatures and pathways to identify novel therapeutic targets in Alzheimer's disease: Insights from a systems biomedicine perspective
Rahman, Md. Rezanur, Islam, Tania, Zaman, Toyfiquz, Shahjaman, Md., Karim, Md. Rezaul, Huq, Fazlul, Quinn, Julian M.W., Holsinger, R.M. Damian, Gov, Esra and Moni, Mohammad Ali (2020). Identification of molecular signatures and pathways to identify novel therapeutic targets in Alzheimer's disease: Insights from a systems biomedicine perspective. Genomics, 112 (2), 1290-1299. doi: 10.1016/j.ygeno.2019.07.018
2020
Journal Article
Network-based genetic profiling reveals cellular pathway differences between follicular thyroid carcinoma and follicular thyroid adenoma
Hossain, Md. Ali, Asa, Tania Akter, Rahman, Md. Mijanur, Uddin, Shahadat, Moustafa, Ahmed A., Quinn, Julian M. W. and Moni, Mohammad Ali (2020). Network-based genetic profiling reveals cellular pathway differences between follicular thyroid carcinoma and follicular thyroid adenoma. International Journal of Environmental Research and Public Health, 17 (4) 1373, 1373. doi: 10.3390/ijerph17041373
2020
Journal Article
A network-based bioinformatics approach to identify molecular biomarkers for type 2 diabetes that are linked to the progression of neurological diseases
Rahman, Md Habibur, Peng, Silong, Hu, Xiyuan, Chen, Chen, Rahman, Md Rezanur, Uddin, Shahadat, Quinn, Julian M. W. and Moni, Mohammad Ali (2020). A network-based bioinformatics approach to identify molecular biomarkers for type 2 diabetes that are linked to the progression of neurological diseases. International Journal of Environmental Research and Public Health, 17 (3) 1035, 1-25. doi: 10.3390/ijerph17031035
2020
Journal Article
A framework to understand the progression of cardiovascular disease for type 2 diabetes mellitus patients using a network approach
Hossain, Md Ekramul, Uddin, Shahadat, Khan, Arif and Moni, Mohammad Ali (2020). A framework to understand the progression of cardiovascular disease for type 2 diabetes mellitus patients using a network approach. International Journal of Environmental Research and Public Health, 17 (2) 596, 596. doi: 10.3390/ijerph17020596
2020
Journal Article
Systems biology and bioinformatics approach to identify gene signatures, pathways and therapeutic targets of Alzheimer's disease
Chowdhury, Utpala Nanda, Islam, M. Babul, Ahmad, Shamim and Moni, Mohammad Ali (2020). Systems biology and bioinformatics approach to identify gene signatures, pathways and therapeutic targets of Alzheimer's disease. Informatics in Medicine Unlocked, 21 100439. doi: 10.1016/j.imu.2020.100439
2020
Journal Article
Identification of the core ontologies and signature genes of polycystic ovary syndrome (PCOS): a bioinformatics analysis
Islam, Md Rakibul, Ahmed, Md Liton, Kumar Paul, Bikash, Bhuiyan, Touhid, Ahmed, Kawsar and Moni, Mohammad Ali (2020). Identification of the core ontologies and signature genes of polycystic ovary syndrome (PCOS): a bioinformatics analysis. Informatics in Medicine Unlocked, 18 100304. doi: 10.1016/j.imu.2020.100304
2020
Journal Article
A systems biology approach to identifying genetic factors affected by aging, lifestyle factors, and type 2 diabetes that influences Parkinson's disease progression
Sakib, Najmus, Chowdhury, Utpala Nanda, Islam, M. Babul, Ahmad, Shamim and Moni, Mohammad Ali (2020). A systems biology approach to identifying genetic factors affected by aging, lifestyle factors, and type 2 diabetes that influences Parkinson's disease progression. Informatics in Medicine Unlocked, 21 100448. doi: 10.1016/j.imu.2020.100448
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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