Dr Mohsen Dorraki
Lecturer
School of Computer and Mathematical Sciences
Faculty of Sciences, Engineering and Technology
Eligible to supervise Masters and PhD - email supervisor to discuss availability.
Dr Mohsen Dorraki is a Lecturer in the School of Computer and Mathematical Sciences at the University of Adelaide. Prior to this role, he held a joint Research Fellowship at the Australian Institute for Machine Learning (AIML) and the South Australian Health and Medical Research Institute (SAHMRI), where he contributed to translational AI research in health. He received his PhD in Computer Science from the University of Adelaide in 2020, earning the Dean’s Commendation for Doctoral Thesis Excellence.
His research lies at the intersection of medical machine learning and signal processing, with a focus on developing data-driven solutions for complex biological challenges. His work is published in leading journals such as Royal Society Open Science, IEEE, JACC, and Nature Publishing Group, and he has cultivated collaborations with major industry and government partners.
Dr Dorraki is an Associate Editor for IEEE Access, serves as a member of University of Adelaide’s SET Lower Risk Human Research Ethics Committee, is member of the IEEE, the IEEE Engineering in Medicine and Biology Society (EMBS), and the Alliance of Centers of Artificial Intelligence in Medicine (ACAIM).
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Journals
Year Citation 2025 Heydarlou, H., Hodson, L. J., Dorraki, M., Hickey, T. E., Tilley, W. D., Smith, E., . . . Farajpour, A. (2025). A Deep Learning Approach for the Classification of Fibroglandular Breast Density in Histology Images of Human Breast Tissue. Cancers, 17(3), 449-1-449-26.
Europe PMC12025 Ahammad, K., Fouladzadeh, A., Wardill, H. R., Abbott, D., & Dorraki, M. (2025). Genetic and Epigenetic Predispositions, Shared Mechanisms, and Common Biomarkers Between Cancer and CVD—Machine Learning-Based Insights. IEEE Access, 13, 159530-159547.
2025 Wardill, H. R., van Groningen, L. F. J., Dorraki, M., Molendijk, E. B. D., Kalter, D., Da Silva Ferreira, A. R., . . . Blijlevens, N. M. A. (2025). Enteral versus parenteral nutrition in auto-HCT: a randomized controlled trial on clinical outcomes and gut microbiome dynamics.. Support Care Cancer, 33(10), 865.
2024 Dorraki, M., Liao, Z., Abbott, D., Psaltis, P. J., Baker, E., Bidargaddi, N., . . . Verjans, J. W. (2024). Improving Cardiovascular Disease Prediction With Machine Learning Using Mental Health Data: A Prospective UK Biobank Study. JACC: Advances, 3(9.2), 101180-1-101180-9.
Scopus11 WoS6 Europe PMC32023 Al-Qadami, G., Bowen, J., Van Sebille, Y., Secombe, K., Dorraki, M., Verjans, J., . . . Le, H. (2023). Baseline gut microbiota composition is associated with oral mucositis and tumour recurrence in patients with head and neck cancer: a pilot study. Supportive Care in Cancer, 31(1), 98-1-98-14.
Scopus24 WoS24 Europe PMC212022 Dorraki, M., Muratovic, D., Fouladzadeh, A., Verjans, J., Allison, A., Findlay, D., & Abbott, D. (2022). Hip osteoarthritis: A novel network analysis of subchondral trabecular bone structures.
2022 Dorraki, M., Muratovic, D., Fouladzadeh, A., Verjans, J. W., Allison, A., Findlay, D. M., & Abbott, D. (2022). Hip osteoarthritis: A novel network analysis of subchondral trabecular bone structures. PNAS Nexus, 1(5), pgac258-1-pgac258-11.
Scopus2 WoS2 Europe PMC12022 Dorraki, M., Liao, Z., Abbott, D., Psaltis, P., Baker, E., Bidargaddi, N., . . . Verjans, J. (2022). IMPROVING CARDIOVASCULAR DISEASE RISK PREDICTION WITH MACHINE LEARNING USING MENTAL HEALTH DATA: A PROSPECTIVE UK BIOBANK STUDY.
2021 Fouladzadeh, A., Dorraki, M., Min, K. K. M., Cockshell, M. P., Thompson, E. J., Verjans, J. W., . . . Abbott, D. (2021). The development of tumour vascular networks. Communications Biology, 4(1), 1111-1-1111-10.
Scopus19 WoS16 Europe PMC162020 Dorraki, M., Allison, A., & Abbott, D. (2020). Publisher Correction: Truels and strategies for survival (Scientific Reports, (2019), 9, 1, (8996), 10.1038/s41598-019-45253-5). Scientific Reports, 10(1), 1 page.
2020 Dorraki, M., Fouladzadeh, A., Allison, A., Bonder, C., & Abbott, D. (2020). Angiogenic Networks in Tumors—Insights via Mathematical Modeling. IEEE Access, 8, 43215-43228.
Scopus9 WoS82020 Lei, Z., ul Haq, A., Dorraki, M., Zhang, D., & Abbott, D. (2020). Composing recipes based on nutrients in food in a machine learning context. Neurocomputing, 415, 382-396.
Scopus7 WoS52019 Dorraki, M., Islam, M. S., Allison, A., & Abbott, D. (2019). Parameter identification using moment of velocity. Royal Society Open Science, 6(11), 190671-1-190671-8.
2019 Dorraki, M., Fouladzadeh, A., Allison, A., Davis, B. R., & Abbott, D. (2019). On moment of velocity for signal analysis. Royal Society Open Science, 6(3), 182001-1-182001-10.
Scopus3 WoS2 Europe PMC22019 Dorraki, M., Fouladzadeh, A., Salamon, S. J., Allison, A., Coventry, B. J., & Abbott, D. (2019). Can C-reactive protein (CRP) time series forecasting be achieved via deep learning?. IEEE Access, 7, 59311-59320.
Scopus8 WoS72019 Dorraki, M., Allison, A., & Abbott, D. (2019). Truels and strategies for survival.. Scientific reports, 9(1), 1-7.
Scopus6 WoS6 Europe PMC32019 Islam, M. S., Cordeiro, C. M. B., Sultana, J., Aoni, R. A., Feng, S., Ahmed, R., . . . Abbott, D. (2019). A Hi-Bi ultra-sensitive surface plasmon resonance fiber sensor. IEEE Access, 7, 79085-79094.
Scopus156 WoS1382018 Islam, M. S., Sultana, J., Dorraki, M., Atai, J., Islam, M. R., Dinovitser, A., . . . Abbott, D. (2018). Low loss and low dispersion hybrid core photonic crystal fiber for terahertz propagation. Photonic Network Communications, 35(3), 364-373.
Scopus42 WoS372018 Dorraki, M., Fouladzadeh, A., Salamon, S. J., Allison, A., Coventry, B. J., & Abbott, D. (2018). On detection of periodicity in C-reactive protein (CRP) levels. Scientific Reports, 8(1), 7 pages.
Scopus18 WoS16 Europe PMC132015 Dorraki, M., Cambrell, G., & Abbott, D. (2015). Analysis of the transient response of a dual-fed RC transmission line. PLoS One, 10(3), e0116993-1-e0116993-11.
Scopus2 WoS2 Europe PMC22015 Dorraki, M., Cambrell, G. K., & Abbott, D. (2015). Correction: Analysis of the transient response of a dual-fed RC transmission line. PLoS ONE, 10(3), e0123497-1-e0123497-11.
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Book Chapters
Year Citation 2023 Dorraki, M., Sengupta, P. P., & Verjans, J. W. (2023). Artificial intelligence in echocardiography. In A. C. Chang, A. Limon, R. Brisk, F. Lopez-Jimenez, & L. Y. Sun (Eds.), Intelligence-Based Cardiology and Cardiac Surgery: Artificial Intelligence and Human Cognition in Cardiovascular Medicine (pp. 179-184). Elsevier.
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Conference Papers
Year Citation 2023 Wardill, H., van Groningen, L., Molendijk, E., Ferreira, A. R. D. S., Kurilshikov, A., Dorraki, M., . . . Blijlevens, N. (2023). THE CHICKEN AND THE EGG: UNRAVELLING THE FACTORS THAT SHAPE GUT DYSBIOSIS IN HSCT RECIPIENTS. In BONE MARROW TRANSPLANTATION Vol. 58 (pp. 127-128). ELECTR NETWORK: SPRINGERNATURE. 2019 Dorraki, M., Fouladzadeh, A., Allison, A., Coventry, B., & Abbott, D. (2019). Deep Learning for C-Reactive Protein Prediction. In 2018 2nd European Conference on Electrical Engineering and Computer Sciece (EECS) (pp. 1-5). online: IEEE.
DOI Scopus2 WoS22018 Dorraki, M., Fouladzadeh, A., Allison, A., Coventry, B., & Abbott, D. (2018). Deep learning for C-reactive protein prediction. In Proc. 2018 2nd European Conference on Electrical Engineering and Computer Science (EECS) (pp. 160-164). IEEE: IEEE. 2012 Dorraki, M., Ghidary, S. S., & Menhaj, M. B. (2012). An efficient brush model for real-time oil painting using image processing algorithms. In Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications Iciea 2012 (pp. 819-823). IEEE.
DOI Scopus3
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2024 – 2025
Medtronic Inc. Grant from Medtronic, Minneapolis, Minnesota, US
Detection of LV dysfunction using external ECG (Phase 2)
2024
BioPlatforms Australia South Australian Framework from South Australian Genomics Centre, SAGC
Leveraging multi-omics to combat chemotherapy-induced cognitive impairment.
2024
Tour De Cure - Senior Research Grant
RAGE: RAdio-GEnomics in Australian paediatric brain tumour diagnosis and treatment-planning.
2023
Medtronic Inc. Grant from Medtronic, Minneapolis, Minnesota, US
Development of a machine learning based model to infer ejection fraction measurement from the electrocardiogram
2023
THRF Grant from The Hospital Research Foundation Group, Australia
Cardiomics - a real-time Dashboard for Cardiovascular MBS and PBS insights: an affordable, nationally scalable, approach to monitor and predict patient outcomes in cardiovascular disease
2022
Pfizer ASPIRE Project Grant from Pfizer
GDF-15 levels and clinical/biological correlates in head and neck cancer patients with mucositis: developing a risk model for cachexia
2022
Faculty of Health and Medical Sciences (FHMS) Strategic Research Support Scheme from the University of Adelaide, Australia
Defining the salivomic profile of people with cancer and its association with treatment side effects
2021
DIGI+ FAME STRATEGY Grant from the University of Adelaide, Australia
Accelerating Drug Discovery with Machine Learning – Initiate
2021
Centre for Augmented Reasoning Grant for hiring a postdoc (for 3 yrs) and a PhD student, The Australian Institute for Machine Learning (AIML), Australia.
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2025 – Present |
Course Coordinator |
Foundations of Computer Science A (COMP SCI 7210OL), UoA 2025 Online Teaching 3 |
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2024 – Present |
Course Coordinator and Lecturer (>200 students) |
Foundations of Computer Science A (COMP SCI 7210), UoA 2025 Tri1/2/3, 2024 Tri2/3. |
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2024 – Present |
Course Coordinator and Lecturer (>200 students) Managing 20 TAs |
Foundations of Computer Science B (COMP SCI 7211), UoA 2025 Tri2/3, 2024 Tri2/3. |
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2024 – 2025 |
Course Coordinator and Lecturer (>200 students) |
Introduction to Applied Programming (COMP SCI 1015), UoA 2024 Sem1 |
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2024 – Present |
Course Coordinator and Lecturer
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Research Project Master Computer Science: Part A (COMP SCI 7100A), UoA 2025 Sem1/2, 2024 Sem1/2 |
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2024 – Present |
Course Coordinator and Lecturer
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Research Project Master Computer Science: Part B (COMP SCI 7100B), UoA 2025 Sem1/2, 2024 Sem1/2 |
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2021 – 2024 |
supervisor |
Advanced Topics in Computer Science (COMP SCI 3020), UoA |
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2023 – 2024 |
Course Coordinator and Lecturer |
Engineering Programming (ENGR 1206), Flinders University |
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2019 – Present |
Guest Lecturer |
Communications IV (ELEC ENG 4063), School of Electrical & Electronic Engineering, UoA |
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Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2024 Co-Supervisor Causal discovery and Out-of-Distribution generalization: sampling from posterior over causal graphs Doctor of Philosophy Doctorate Full Time Mr Nadhir Hassen 2024 Co-Supervisor Pre-trained multimodel model for integrated healthcare decision support Doctor of Philosophy Doctorate Full Time Ms Nanyu Dong 2024 Principal Supervisor AI-based Time Use Optimisation for Improving Health and Well-being Outcomes Doctor of Philosophy Doctorate Full Time Mr Khalil Ahammad
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