Mohsen Dorraki

Research Interests

Biomedical Engineering Cancer Therapy Electrical and Electronic Engineering Signal Processing

Dr Mohsen Dorraki

Lecturer

School of Computer Science and Information Technology

College of Engineering and Information 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).

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
2025 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.
DOI
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.
DOI
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 Scopus13 WoS8 Europe PMC4
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 Scopus25 WoS24 Europe PMC22
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 Scopus4 WoS3 Europe PMC2
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, article no. 1111), 1111-1-1111-10.
DOI Scopus20 WoS16 Europe PMC16
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 Scopus9 WoS8
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 Scopus8 WoS5
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 WoS7
2019 Dorraki, M., Allison, A., & Abbott, D. (2019). Truels and strategies for survival.. Scientific reports, 9(1), 1-7.
DOI Scopus7 WoS7 Europe PMC3
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 Scopus156 WoS139
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 Scopus43 WoS37
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 Scopus18 WoS16 Europe PMC13
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

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

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 WoS2
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

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
2024 Principal Supervisor AI-based Time Use Optimisation for Improving Health and Well-being Outcomes Doctor of Philosophy Doctorate Full Time Mr Khalil Ahammad
2024 Co-Supervisor Pre-trained multimodel model for integrated healthcare decision support Doctor of Philosophy Doctorate Full Time Ms Nanyu Dong
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

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