Mohsen Dorraki
Higher Degree by Research Candidate
School of Electrical and Electronic Engineering
Faculty of Engineering, Computer and Mathematical Sciences
Mohsen Dorraki received the B.Eng. degree in electronics engineering from the Azad University of Birjand, Iran, in 2007, and the M.Sc. degree in electrical engineering from the Amirkabir University of Technology, Tehran, Iran, in 2011. He is currently pursuing the Ph.D. degree with the School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, Australia, under the supervision of Prof. Derek Abbott.
His current research involves computational biology, mathematical modelling, deep learning, signal processing, and biomedical engineering. He was granted the ECMS Divisional Scholarship from The University of Adelaide to study toward his Ph.D. degree in 2017. He received a number of awards, including the Australian Mathematical Sciences Institute (AMSI) Travel Grant, in 2018, and DR Stranks Travelling Fellowship, in 2019. He has been granted a Distinguished Talent visa (permanent residency visa) and identified as a Global Talent in medical technologies from the Department of Home Affairs, Australian Government.
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Journals
Year Citation 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.
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.
Scopus1 WoS12020 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.
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.
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.
Scopus1 WoS1 Europe PMC12019 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.
Scopus4 WoS32019 Dorraki, M., Allison, A., & Abbott, D. (2019). Truels and strategies for survival.. Scientific reports, 9(1), 1-7.
WoS12019 Islam, M., Cordeiro, C., Sultana, J., Aoni, R., Feng, S., Ahmed, R., . . . Abbott, D. (2019). A Hi-Bi ultra-sensitive surface plasmon resonance fiber sensor. IEEE Access, 7, 79085-79094.
Scopus44 WoS362018 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.
Scopus26 WoS212018 Dorraki, M., Fouladzadeh, A., Salamon, S., Allison, A., Coventry, B., & Abbott, D. (2018). On detection of periodicity in C-reactive protein (CRP) levels. Scientific Reports, 8(1), 7 pages.
Scopus9 WoS7 Europe PMC42015 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., & 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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Conference Papers
Year Citation 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.
Scopus1 WoS12018 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.
Scopus2
- ECMS Divisional Scholarship from the University of Adelaide (2017-2021).
- DR Stranks Travelling Fellowship (2019).
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The Australian Mathematical Sciences Institute (AMSI) Travel Grant (2018).
2020, Digital Signal Processing, tutorial, School of Electrical & Electronic Engineering - University of Adelaide
2020, Project Management, tutorial, School of Electrical & Electronic Engineering - University of Adelaide
2020, Electronic Systems, tutorial, School of Electrical & Electronic Engineering - University of Adelaide
2020, Analog Electronics, tutorial, School of Electrical & Electronic Engineering - University of Adelaide
2020, Electronic Systems, demonstration, School of Electrical & Electronic Engineering - University of Adelaide
2020, Analog Electronics, demonstration, School of Electrical & Electronic Engineering - University of Adelaide
2019, Digital Signal Processing, tutorial, School of Electrical & Electronic Engineering - University of Adelaide
2019, Project Management, tutorial, School of Electrical & Electronic Engineering - University of Adelaide
2019, Communication IV, tutorial, School of Electrical & Electronic Engineering - University of Adelaide
2019, Electronic Systems, demonstration, School of Electrical & Electronic Engineering - University of Adelaide
2019, Analog Electronics, demonstration, School of Electrical & Electronic Engineering - University of Adelaide
2018, Communication IV, tutorial, School of Electrical & Electronic Engineering - University of Adelaide
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