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.

My Research
Career
Publications
Grants and Funding
Teaching
Supervision
Contact

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).

Research Interests

Biomedical Engineering Cancer Therapy Electrical and Electronic Engineering Signal Processing

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. DOI Europe PMC1
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. DOI Scopus4 Europe PMC1
2023	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. DOI Scopus20 WoS5 Europe PMC17
2022	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. DOI
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. DOI Scopus1
2022	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. DOI
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. DOI Scopus16 WoS7 Europe PMC10
2020	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. DOI
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. DOI Scopus8 WoS7
2020	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. DOI Scopus4 WoS1
2019	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. DOI
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. DOI Scopus3 WoS2 Europe PMC2
2019	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. DOI Scopus8 WoS6
2019	Dorraki, M., Allison, A., & Abbott, D. (2019). Truels and strategies for survival.. Scientific reports, 9(1), 1-7. DOI Scopus6 WoS3 Europe PMC2
2019	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. DOI Scopus149 WoS101
2018	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. DOI Scopus42 WoS36
2018	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. DOI Scopus17 WoS13 Europe PMC11
2015	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. DOI Scopus2 WoS2 Europe PMC2
2015	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. DOI

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. DOI

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 WoS1
2018	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

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.

2025 – Present	Course Coordinator	Foundations of Computer Science A (COMP SCI 7210OL), UoA 2025 Online Teaching 3
2024 – Present	Course Coordinator and Lecturer (>200 students) Managing 20 TAs	Foundations of Computer Science A (COMP SCI 7210), UoA 2025 Tri1/2/3, 2024 Tri2/3.
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.
2024 – 2025	Course Coordinator and Lecturer (>200 students)	Introduction to Applied Programming (COMP SCI 1015), UoA 2024 Sem1
2024 – Present	Course Coordinator and Lecturer	Research Project Master Computer Science: Part A (COMP SCI 7100A), UoA 2025 Sem1/2, 2024 Sem1/2
2024 – Present	Course Coordinator and Lecturer	Research Project Master Computer Science: Part B (COMP SCI 7100B), UoA 2025 Sem1/2, 2024 Sem1/2
2021 – 2024	supervisor	Advanced Topics in Computer Science (COMP SCI 3020), UoA
2023 – 2024	Course Coordinator and Lecturer	Engineering Programming (ENGR 1206), Flinders University 2023 Sem1
2019 – Present	Guest Lecturer	Communications IV (ELEC ENG 4063), School of Electrical & Electronic Engineering, UoA

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

Position: Lecturer
Phone: 83130384
Email: mohsen.dorraki@adelaide.edu.au
Campus: North Terrace
Building: Ingkarni Wardli, floor Level Five
Room: 5.40
Org Unit: School of Computer and Mathematical Sciences

Dr Mohsen Dorraki

Research Interests

Journals

Book Chapters

Conference Papers

Current Higher Degree by Research Supervision (University of Adelaide)

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External Profiles