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
2019
Journal Article
Discovering biomarkers and pathways shared by alzheimer’s disease and ischemic stroke to identify novel therapeutic targets
Rahman, Md. Rezanur, Islam, Tania, Shahjaman, M. D., Zaman, Toyfiquz, Faruquee, Hossain Md., Mostofa Jamal, Mohammad Abu Hena, Huq, Fazlul, Quinn, Julian M. W. and Moni, Mohammad Ali (2019). Discovering biomarkers and pathways shared by alzheimer’s disease and ischemic stroke to identify novel therapeutic targets. Medicina, 55 (5) 191, 1-10. doi: 10.3390/medicina55050191
2019
Journal Article
Genetic effects of welding fumes on the development of respiratory system diseases
Rana, Humayan Kabir, Akhtar, Mst. Rashida, Islam, M. Babul, Ahmed, Mohammad Boshir, Liò, Pietro, Quinn, Julian M.W., Huq, Fazlul and Moni, Mohammad Ali (2019). Genetic effects of welding fumes on the development of respiratory system diseases. Computers in Biology and Medicine, 108, 142-149. doi: 10.1016/j.compbiomed.2019.04.004
2019
Journal Article
Genetic effects of welding fumes on the progression of neurodegenerative diseases
Rana, Humayan Kabir, Akhtar, Mst. Rashida, Ahmed, Mohammad Boshir, Liò, Pietro, Quinn, Julian M.W., Huq, Fazlul and Moni, Mohammad Ali (2019). Genetic effects of welding fumes on the progression of neurodegenerative diseases. NeuroToxicology, 71, 93-101. doi: 10.1016/j.neuro.2018.12.002
2019
Conference Publication
Early detection of autism by extracting features: a case study in Bangladesh
Satu, Md. Shahriare, Farida Sathi, Farha, Arifen, Md. Sadrul, Hanif Ali, Md. and Moni, Mohammad Ali (2019). Early detection of autism by extracting features: a case study in Bangladesh. 2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST), Dhaka, Bangladesh, 10 - 12 January 2019. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICREST.2019.8644357
2019
Journal Article
Network-based approach to identify molecular signatures and therapeutic agents in Alzheimer's disease
Rahman, Md. Rezanur, Islam, Tania, Turanli, Beste, Zaman, Toyfiquz, Faruquee, Hossain Md., Rahman, Md. Mafizur, Mollah, Md. Nurul Haque, Nanda, Ranjan Kumar, Arga, Kazim Yalcin, Gov, Esra and Moni, Mohammad Ali (2019). Network-based approach to identify molecular signatures and therapeutic agents in Alzheimer's disease. Computational Biology and Chemistry, 78, 431-439. doi: 10.1016/j.compbiolchem.2018.12.011
2019
Journal Article
Identification of prognostic biomarker signatures and candidate drugs in colorectal cancer: Insights from systems biology analysis
Rahman, Md. Rezanur, Islam, Tania, Gov, Esra, Turanli, Beste, Gulfidan, Gizem, Shahjaman, Md., Banu, Nilufa Akhter, Mollah, Md. Nurul Haque, Arga, Kazim Yalcin and Moni, Mohammad Ali (2019). Identification of prognostic biomarker signatures and candidate drugs in colorectal cancer: Insights from systems biology analysis. Medicina, 55 (1) 20, 1-18. doi: 10.3390/medicina55010020
2019
Journal Article
Identification of molecular signatures and pathways common to blood cells and brain tissue of amyotrophic lateral sclerosis patients
Rahman, Md. Rezanur, Islam, Tania, Huq, Fazlul, Quinn, Julian M.W. and Moni, Mohammad Ali (2019). Identification of molecular signatures and pathways common to blood cells and brain tissue of amyotrophic lateral sclerosis patients. Informatics in Medicine Unlocked, 16 100193, 1-6. doi: 10.1016/j.imu.2019.100193
2019
Journal Article
Network-based approach to identify key candidate genes and pathways shared by thyroid cancer and chronic kidney disease
Hossain, Md Ali, Asa, Tania Akter, Rahman, Md Rezanur and Moni, Mohammad Ali (2019). Network-based approach to identify key candidate genes and pathways shared by thyroid cancer and chronic kidney disease. Informatics in Medicine Unlocked, 16 100240. doi: 10.1016/j.imu.2019.100240
2019
Journal Article
A bioinformatics approach to decode core genes and molecular pathways shared by breast cancer and endometrial cancer: Core genes and molecular pathways shared by breast cancer and endometrial cancer
Rahman, Md Foyzur, Rahman, Md Rezanur, Islam, Tania, Zaman, Toyfiquz, Shuvo, Md Abu Hena, Hossain, Md Tofazzal, Islam, Md Rafiqul, Karim, Md Rezaul and Moni, Mohammad Ali (2019). A bioinformatics approach to decode core genes and molecular pathways shared by breast cancer and endometrial cancer: Core genes and molecular pathways shared by breast cancer and endometrial cancer. Informatics in Medicine Unlocked, 17 100274, 1-6. doi: 10.1016/j.imu.2019.100274
2019
Journal Article
A novel blended state estimated adaptive controller for voltage and current control of microgrid against unknown noise
Munsi, Md. Shahin, Siddique, Abu Bakar, Das, Sajal K., Paul, Sanjoy Kumar, Islam, Md. Rabiul and Moni, Mohammad Ali (2019). A novel blended state estimated adaptive controller for voltage and current control of microgrid against unknown noise. IEEE Access, 7 8890801, 161975-161995. doi: 10.1109/ACCESS.2019.2951429
2019
Journal Article
A fast iris recognition system through optimum feature extraction
Rana, Humayan Kabir, Azam, Md. Shafiul, Akhtar, Mst. Rashida, Quinn, Julian M.W. and Moni, Mohammad Ali (2019). A fast iris recognition system through optimum feature extraction. PeerJ Computer Science, 2019 (4) e184, 1-13. doi: 10.7717/peerj-cs.184
2019
Journal Article
Detection of multiple sclerosis using blood and brain cells transcript profiles: Insights from comprehensive bioinformatics approach
Islam, Tania, Rahman, Md. Rezanur, Karim, Md. Rezaul, Huq, Fazlul, Quinn, Julian M.W. and Moni, Mohammad Ali (2019). Detection of multiple sclerosis using blood and brain cells transcript profiles: Insights from comprehensive bioinformatics approach. Informatics in Medicine Unlocked, 16 100201. doi: 10.1016/j.imu.2019.100201
2018
Journal Article
Sorptive removal of dissolved organic matter in biologically-treated effluent by functionalized biochar and carbon nanotubes: Importance of sorbent functionality
Ahmed, Mohammad Boshir, Johir, Md. Abu Hasan, Khourshed, Chinu, Zhou, John L., Ngo, Huu Hao, Nghiem, Duc Long, Moni, Mohammad and Sun, Lying (2018). Sorptive removal of dissolved organic matter in biologically-treated effluent by functionalized biochar and carbon nanotubes: Importance of sorbent functionality. Bioresource Technology, 269, 9-17. doi: 10.1016/j.biortech.2018.08.046
2018
Conference Publication
Detecting depression using K-nearest neighbors (KNN) classification technique
Islam, Md Rafiqul, Kamal, Abu Raihan M., Sultana, Naznin, Islam, Robiul, Moni, Mohammad Ali and Ulhaq, Anwaar (2018). Detecting depression using K-nearest neighbors (KNN) classification technique. 2018 International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2), Rajshahi, Bangladesh, 8 - 9 February 2018. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IC4ME2.2018.8465641
2017
Journal Article
Genetic profiling and comorbidities of Zika infection
Moni, Mohammad Ali and Lio, Pietro (2017). Genetic profiling and comorbidities of Zika infection. Journal of Infectious Diseases, 216 (6), 703-712. doi: 10.1093/infdis/jix327
2016
Journal Article
Quitting attempts in Bangladeshi male rural smokers and social correlates
Flora, M. S., Kabir, I. and Moni, M. A. (2016). Quitting attempts in Bangladeshi male rural smokers and social correlates. Bangladesh Medical Research Council Bulletin, 42 (2), 53-60. doi: 10.3329/bmrcb.v42i2.31998
2015
Journal Article
Network regularised Cox regression and multiplex network models to predict disease comorbidities and survival of cancer
Xu, Haoming, Moni, Mohammad Ali and Liò, Pietro (2015). Network regularised Cox regression and multiplex network models to predict disease comorbidities and survival of cancer. Computational Biology and Chemistry, 59, 15-31. doi: 10.1016/j.compbiolchem.2015.08.010
2015
Journal Article
How to build personalized multi-omics comorbidity profiles
Moni, Mohammad Ali and Liò, Pietro (2015). How to build personalized multi-omics comorbidity profiles. Frontiers in Cell and Developmental Biology, 3 (June) 28. doi: 10.3389/fcell.2015.00028
2015
Journal Article
CytoCom: A Cytoscape app to visualize, query and analyse disease comorbidity networks
Moni, Mohammad Ali, Xu, Haoming and Liò, Pietro (2015). CytoCom: A Cytoscape app to visualize, query and analyse disease comorbidity networks. Bioinformatics, 31 (6), 969-971. doi: 10.1093/bioinformatics/btu731
2014
Journal Article
Network-based analysis of comorbidities risk during an infection: SARS and HIV case studies
Moni, Mohammad Ali and Liò, Pietro (2014). Network-based analysis of comorbidities risk during an infection: SARS and HIV case studies. BMC Bioinformatics, 15 (1) 333. doi: 10.1186/1471-2105-15-333
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
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
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
Service extension and cost minimization in healthcare management of peripheral healthcare organizations in Bangladesh: analysis for service improvement
Associate Advisor
Other advisors: Associate Professor Asaduzzaman Khan
Media
Enquiries
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