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
System biology and bioinformatics pipeline to identify comorbidities risk association: neurodegenerative disorder case study
Chowdhury, Utpala Nanda, Ahmad, Shamim, Islam, M. Babul, Alyami, Salem A., Quinn, Julian M. W., Eapen, Valsamma and Moni, Mohammad Ali (2021). System biology and bioinformatics pipeline to identify comorbidities risk association: neurodegenerative disorder case study. PLoS One, 16 (5) e0250660, e0250660. doi: 10.1371/journal.pone.0250660
2021
Journal Article
Vulnerability in deep transfer learning models to adversarial fast gradient sign attack for covid-19 prediction from chest radiography images
Pal, Biprodip, Gupta, Debashis, Rashed-Al-mahfuz, Md., Alyami, Salem A. and Moni, Mohammad Ali (2021). Vulnerability in deep transfer learning models to adversarial fast gradient sign attack for covid-19 prediction from chest radiography images. Applied Sciences, 11 (9) 4233, 4233. doi: 10.3390/app11094233
2021
Journal Article
Development and analysis of surface plasmon resonance based refractive index sensor for pregnancy testing
Mitu, Sumaiya Akhtar, Ahmed, Kawsar, Zahrani, Fahad Ahmed Al, Grover, Amit, Mani Rajan, Murugan Senthil and Moni, Mohammad Ali (2021). Development and analysis of surface plasmon resonance based refractive index sensor for pregnancy testing. Optics and Lasers in Engineering, 140 106551, 1-10. doi: 10.1016/j.optlaseng.2021.106551
2021
Journal Article
Integrative systems biology approaches to identify potential biomarkers and pathways of cervical cancer
Oany, Arafat Rahman, Mia, Mamun, Pervin, Tahmina, Alyami, Salem Ali and Moni, Mohammad Ali (2021). Integrative systems biology approaches to identify potential biomarkers and pathways of cervical cancer. Journal of Personalized Medicine, 11 (5) 363, 363. doi: 10.3390/jpm11050363
2021
Journal Article
Role of inflammatory cytokines in COVID-19 patients: a review on molecular mechanisms, immune functions, immunopathology and immunomodulatory drugs to counter cytokine storm
Rabaan, Ali A., Al-Ahmed, Shamsah H., Muhammad, Javed, Khan, Amjad, Sule, Anupam A, Tirupathi, Raghavendra, Mutair, Abbas Al, Alhumaid, Saad, Al-Omari, Awad, Dhawan, Manish, Tiwari, Ruchi, Sharun, Khan, Mohapatra, Ranjan K., Mitra, Saikat, Bilal, Muhammad, Alyami, Salem A., Emran, Talha Bin, Moni, Mohammad Ali and Dhama, Kuldeep (2021). Role of inflammatory cytokines in COVID-19 patients: a review on molecular mechanisms, immune functions, immunopathology and immunomodulatory drugs to counter cytokine storm. Vaccines, 9 (5) 436, 436. doi: 10.3390/vaccines9050436
2021
Journal Article
Machine learning approach to predicting COVID-19 disease severity based on clinical blood test data: Statistical analysis and model development
Aktar, Sakifa, Ahamad, Md Martuza, Rashed-Al-Mahfuz, Md, Azad, A. K.M., Uddin, Shahadat, Kamal, A. H.M., Alyami, Salem A., Lin, Ping-I., Islam, Sheikh Mohammed Shariful, Quinn, Julian M.W., Eapen, Valsamma and Moni, Mohammad Ali (2021). Machine learning approach to predicting COVID-19 disease severity based on clinical blood test data: Statistical analysis and model development. JMIR Medical Informatics, 9 (4) e25884, e25884. doi: 10.2196/25884
2021
Journal Article
A comparative analysis of active learning for biomedical text mining
Naseem, Usman, Khushi, Matloob, Khan, Shah Khalid, Shaukat, Kamran and Moni, Mohammad Ali (2021). A comparative analysis of active learning for biomedical text mining. Applied System Innovation, 4 (1) 23, 23. doi: 10.3390/asi4010023
2021
Journal Article
Hearing loss prevalence and years lived with disability, 1990-2019: findings from the Global Burden of Disease Study 2019
Haile, Lydia M., Kamenov, Kaloyan, Briant, Paul Svitil, Orji, Aislyn U., Steinmetz, Jaimie D., Abdoli, Amir, Abdollahi, Mohammad, Abu-Gharbieh, Eman, Afshin, Ashkan, Ahmed, Haroon, Rashid, Tarik Ahmed, Akalu, Yonas, Alahdab, Fares, Alanezi, Fahad Mashhour, Alanzi, Turki M., Al Hamad, Hanadi, Ali, Liaqat, Alipour, Vahid, Al-Raddadi, Rajaa M., Amu, Hubert, Arabloo, Jalal, Arab-Zozani, Morteza, Arulappan, Judie, Ashbaugh, Charlie, Atnafu, Desta Debalkie, Babar, Zaheer-Ud-Din, Baig, Atif Amin, Banik, Palash Chandra, Bärnighausen, Till Winfried ... Chadha, Shelly (2021). Hearing loss prevalence and years lived with disability, 1990-2019: findings from the Global Burden of Disease Study 2019. The Lancet, 397 (10278), 996-1009. doi: 10.1016/S0140-6736(21)00516-X
2021
Journal Article
PredNTS: improved and robust prediction of nitrotyrosine sites by integrating multiple sequence features
Nilamyani, Andi Nur, Auliah, Firda Nurul, Moni, Mohammad Ali, Shoombuatong, Watshara, Hasan, Md Mehedi and Kurata, Hiroyuki (2021). PredNTS: improved and robust prediction of nitrotyrosine sites by integrating multiple sequence features. International Journal of Molecular Sciences, 22 (5) 2704, 1-11. doi: 10.3390/ijms22052704
2021
Journal Article
Pharmacoinformatics based elucidation and designing of potential inhibitors against Plasmodium falciparum to target importin α/β mediated nuclear importation
Oany, Arafat Rahman, Pervin, Tahmina and Moni, Mohammad Ali (2021). Pharmacoinformatics based elucidation and designing of potential inhibitors against Plasmodium falciparum to target importin α/β mediated nuclear importation. Infection, Genetics and Evolution, 88 104699, 104699. doi: 10.1016/j.meegid.2020.104699
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
Journal Article
Use of electronic health data for disease prediction: a comprehensive literature review
Hossain, Md. Ekramul, Khan, Arif, Moni, Mohammad Ali and Uddin, Shahadat (2021). Use of electronic health data for disease prediction: a comprehensive literature review. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 18 (2) 8815739, 745-758. doi: 10.1109/tcbb.2019.2937862
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
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
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
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
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
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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